Protection and Control of Modern Power Systems, 2019
This paper describes the usefulness of renewable energy throughout the world to generate power. R... more This paper describes the usefulness of renewable energy throughout the world to generate power. Renewable energy adds a remarkable scope in power system. Renewable energy sources act as the prime mover of a microgrid. The Microgrid is a small network of power system with distributed generation (DG) units connected in parallel. The integration challenges of renewable energy sources and the control of microgrid are described in this paper. The varied nature of DG system produces voltage and frequency deviation. The unknown nature of the load produces un-modeled dynamics. This un-modeled dynamic introduces measurable effects on the performance of the microgrid. This paper investigates the performance of the microgrid against different scenarios. The voltage of the microgrid is controlled by using different controllers and their results are also investigated. The performance of controllers is investigated using MATLAB/Simulink SimPowerSystems.
Protection and Control of Modern Power Systems, 2019
This paper describes the usefulness of renewable energy throughout the world to generate power. R... more This paper describes the usefulness of renewable energy throughout the world to generate power. Renewable energy adds a remarkable scope in power system. Renewable energy sources act as the prime mover of a microgrid. The Microgrid is a small network of power system with distributed generation (DG) units connected in parallel. The integration challenges of renewable energy sources and the control of microgrid are described in this paper. The varied nature of DG system produces voltage and frequency deviation. The unknown nature of the load produces un-modeled dynamics. This un-modeled dynamic introduces measurable effects on the performance of the microgrid. This paper investigates the performance of the microgrid against different scenarios. The voltage of the microgrid is controlled by using different controllers and their results are also investigated. The performance of controllers is investigated using MATLAB/Simulink SimPowerSystems.
The invention of the nanotechnology adds a new branch to investigate and control the physical pro... more The invention of the nanotechnology adds a new branch to investigate and control the physical properties of matters at atomic level. The aim of this technology is to image the characteristics of metals, biological organs, and polymers. Scanning probe microscopy (SPM) opens a new branch to analysis the atomic properties of the matters. Atomic force microscopy (AFM), a branch of SPM, is a versatile tool of nanotechnology to image both conductive and non-conductive matters with high resolution. Commercial AFM uses raster scanning technique to produce image of the matters that is responsible for low scanning speed and image quality. The performances of AFM are hampered due to low bandwidth of the scanning unit and vertical Proportional-Integral (PI) controller and may damage the surface of the samples. Different nonraster scanning techniques such as sinusoidal, rotational, spiral, cycloid, and lissajous scanning have been proposed to overcome the limitations of raster scanning method by providing high scanning speed, image quality, and resolution. This paper presents a survey of raster and non-raster scanning methods for high speed AFM and provides a compression between them in term of scanning speed, bandwidth and highest achievable scanning frequency. The control techniques applied to the AFM for improving raster, sinusoidal, spiral, cycloid, and lissajous scanning methods are studied in this paper to find most optimum scanning technique for AFM. INDEX TERMS Atomic force microscopy, raster scanning method, sinusoidal scanning method, rotational scanning method, spiral scanning method, cycloid scanning method, Lissajous scanning method, scanning speed, resolution.
-Digital watermarking is a new technique for protecting copyright digital product. In modern time... more -Digital watermarking is a new technique for protecting copyright digital product. In modern times digital watermarking is mainly focused on audio, image, and video. This paper plans and accomplishes a digital text watermarking algorithm. In digital text watermarking, several techniques are accomplished for Chinese, English, Arabic and Turkish language text by using several methods. This paper covers a new digital watermarking technique which applicable for text documents in the English language. An algorithm has been proposed by this paper which is founded on grammatical words in English and a proper encryption procedure. The grammatical rules have been focused by us like article, preposition, modal verbs and conjunction to produce encrypted message by using a watermark. The produced technique is used for verifying the several websites.
2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT), 2018
Multimachine power system consists of a large number of power generation units to produce electri... more Multimachine power system consists of a large number of power generation units to produce electrical power. The damping torque of the generators control the stability of the system. Transmission lines fault, unknown loads and disturbances hamper the damping torque of the generator. The oscillation of the performance of the power system arises due to the lack of damping torque of the generators. The oscillation of the speed, rotor angle and terminal voltage may increase or decrease and reduce the stability of the power system. This paper presents a robust integral linear quadratic gaussian controller (ILQG) to damp out the oscillation of the power system. The ILQG controller has high gain and phase margin and bandwidth. It improves the dynamic stability of the power system. The performance of power system under ILQG controller is investigated using MATLAB. The simulation results show the robustness of the proposed controller.
Interconnected power system consisting of a number of power generation units are able to fulfil t... more Interconnected power system consisting of a number of power generation units are able to fulfil the demand of electricity throughout the world. A safe and reliable operation of interconnected power system is possible when all the generators remain at synchronism state. Stability problem aries when the damping torque of these generators is reduced due to the effect of different uncertainties, faults and dynamic loads. The result of insufficient damping torque may deviate the speed of the generators and produce unsafe operation of power system due to the loss of stability and robustness of terminal voltage and rotor angle. In this paper, a nobel integral linear-quadratic Gaussian (ILQG) controller is designed to regulate the oscillation of power system for increasing stability and robustness. The better performance of the proposed controller is ensured by comparing it with the linear-quadratic regulator (LQR) and the linear-quadratic Gaussian (LQG) controllers. The comparison results ...
This paper addresses the control of islanded microgrid performances under dynamic system conditio... more This paper addresses the control of islanded microgrid performances under dynamic system conditions. The performance of microgrid is effected by load dynamics, uncertainty and produces an unsafe operation of microgrid. In this paper, a robust Integral Linear-Quadratic Gaussian (ILQG) controller is designed for controlling microgrid voltage against different uncertainties. The design of this controller is based on a comparative performances analysis of optimal controllers namely Linear-Quadratic Regulator (LQR) controller, Linear-Quadratic Gaussian (LQG) controller, Model predictive Controller (MPC) and Resonant Controller (RC)and find out most optimum controller for voltage control. Matlab Simulink is used to evaluated the performance of single phase islanded microgrid. The comparison results show that the proposed controller is capable of providing high tracking and optimum performance as compared to other controllers.
The undamped resonance of LCL filtered photovoltaic powered islanded microgrid is responsible for... more The undamped resonance of LCL filtered photovoltaic powered islanded microgrid is responsible for the reduction of the safety and stability of the system. An improved resonant controller has been proposed to damp the associated resonance of LCL filter and exhibit smoother performances by decreasing the THD value of voltage and current. High tracking capability with higher reduction ability of the effect of cross coupling ensure the better performance of the proposed controller.
The idea of microgrid, smart grid, and virtual power plant (VPP) is being developed to resolve th... more The idea of microgrid, smart grid, and virtual power plant (VPP) is being developed to resolve the challenges of climate change in the 21st century, to ensure the use of renewable energy in the electrical grid. For the increasing demand for electricity, raising public consciousness about reducing carbon emission, the microgrid is established which is transformed into a virtual power plant (VPP) or a smart grid with the blessing of modern communication systems, intelligence technology, and smart devices. So, to keep these systems up-to-date and to ensure security, it is important to know the details about the uses and benefits of these systems in the developed world and also to improve control methods and automation, it is important to achieve the present essence of such systems. This paper is focused to contribute to this flourishing area of energy sustainability covering microgrid, smart grid, and virtual power plant by compiling and recapping their recent advancements, technical requirements, control problems, and solutions. The paper is mainly intended to address the role of control strategies applied to the microgrid, smart grid, and virtual power plant towards future energy generation, distribution, management, and security. INDEX TERMS Controllers, cyber security, microgrid, renewable energy, smart grid, system architectures, virtual power plant, world market.
The concept of microgrid (MG) empowers the application of renewable energy sources (RES) to meet ... more The concept of microgrid (MG) empowers the application of renewable energy sources (RES) to meet the increasing demand of electrical power, which further inspires us to enable this technology under the study of inverter-based industrial loads (IL). The inclusion of inverter-based IL adds some noises in the MGs dynamics because of the non-linear characteristics of inverter and parametric uncertainty of loads. The above constraints impose extra-challenges to maintain reliable operation of the MGs. In this paper, integral based linear quadratic gaussian (ILQG) controller is proposed to maintain the tracking operation via the control of inverter used with ILs, which is further connected with the dc bus which is regulated by the inverter in grid side and dc-dc converter applied in utility grid, PV and battery, respectively. The proposed ILQG controller is designed based on the proper combination of linear quadratic gaussian (LQG) and integral controller and its performance is evaluated by changing the operating conditions, which includes the switching of supplying power from PV, and both PV and battery. Additionally, the investigation under the variation of the IL parameters and comparison with resonant controller is used to ensure the robust performance of the ILQG controller.
2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)
Future grids will consist of many small and large subgrids that will require complex control for ... more Future grids will consist of many small and large subgrids that will require complex control for grid interaction as well as tracking of operation. This paper presents the design of a robust integral linear quadratic Gaussian (ILQG) controller for damping and tracking control of subgrid voltage of hybrid microgrid. The design of ILQG is carried out by augmenting the subgrid dynamics with an integrator that takes power from the DC bus connecting with AC and PV based DC grid. The subgrid consists of a parallel combination of several uncertain and unknown loads that may produce the voltage oscillation. The performance of ILQG is evaluated for various load dynamics and compared with the LQG, LQR, and integral controller in terms of bandwidth. The robustness of proposed controller is studied by considering a number of uncertainties within subgrid model. Results show that the proposed ILQG controller provides improved robust performance than others.
2017 3rd International Conference on Electrical Information and Communication Technology (EICT)
This paper presents the design of a robust model predictive controller for grid voltage control o... more This paper presents the design of a robust model predictive controller for grid voltage control of an islanded microgrid. Several distributed generation units are connected in parallel for making a microgrid. The uncertain and unknown nature of the load produces un-modeled dynamics. This un-modeled dynamic introduces the measurable effect of the performance of the microgrid. The objective of the design of the controller is to control the grid voltage against different type loads. The design of this controller is done by using the discrete valued function that provides the extensive tracking performance of microgrid. The effectiveness of the proposed controller is validated by using MATLAB/Simulink SimPowerSystems. The simulation results show that the proposed controller provides the high tracking performance for voltage control of the microgrid system.
Battery ensures power solutions for many necessary portable devices such as electric vehicles, mo... more Battery ensures power solutions for many necessary portable devices such as electric vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted incidents involving Li-ion batteries have also increased to some extent. In particular, the sudden breakdown of industrial and lightweight machinery due to battery failure causes a substantial economic loss for the industry. Consequently, battery state estimation, management system, and estimation of the remaining useful life (RUL) have become a topic of interest for researchers. Considering this, appropriate battery data acquisition and proper information on available battery data sets may require. This review paper is mainly focused on three parts. The first one is battery data acquisitions with commercially and freely available Li-ion battery data set information. The second is the estimation of the states of battery with the battery management system. And third is battery RUL estimation. Various RUL prognostic methods applied for Li-ion batteries are classified, discussed, and reviewed based on their essential performance parameters. Information on commercially and publicly available data sets of many battery models under various conditions is also reviewed. Various battery states are reviewed considering advanced battery management systems. To that end, a comparative study of Li-ion battery RUL prediction is provided together with the investigation of various RUL prediction algorithms and mathematical modelling. INDEX TERMS Battery datasets, battery data repository, remaining useful life (RUL), battery management, li-ion battery, RUL prediction methods. 3) DATA SET APPLICATION According to the author, this data set can apply to the SOC calculation, battery health management, and other battery prognostic modeling [43].
Smart electric vehicles (EVs) are attractive because of their clean, zero-emission, low impact on... more Smart electric vehicles (EVs) are attractive because of their clean, zero-emission, low impact on the environment whilst providing a safer and smoother riding experience. To provide the latter, driving control requires appropriate systems and algorithms to optimize smart vehicle performance, maximize vehicle stability and protection, minimize accident probability, heighten driving comfort, and optimize transportation costs. Despite advancements in these areas, the realization of optimal smart EVs still requires considerable effort. This paper reviews driving control systems and algorithms for smart EVs, including the advanced driving assistant system, implementation of sensors, vehicle dynamics, and control algorithms. The major contribution of this review is to identify promising work to assist researchers with the most advanced trends in this area for prospective regulations. INDEX TERMS Smart Electric Vehicles (EVs), Driving Control Systems (DCS), Advanced Driving Assistance System (ADAS), Algorithms.
2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
Microgrid uses renewable energy sources to generate power and this is one of the most important r... more Microgrid uses renewable energy sources to generate power and this is one of the most important reasons for drawing attention of researchers. Microgrid is a small scaled power generation unit which is a set of loads, distributed generation units, voltage source inverters, PCC, filters etc. Parameters and loads are unknown and uncertain which cause unmodeled dynamics of loads. Tracking performance of voltage degrades due to different uncertainties and unmodeled load dynamics of microgrid. This paper presents the design of a data driven model predictive controller to control the voltage of a single phase islanded microgrid. The way in which the controller is designed ensures robustness, guarantees performance and stability against unmodeled dynamics, unknown loads and all other uncertainties. MATLAB/SIMULINK is used to carry out the simulation of controller and the results are found for open and closed loop system. Under different load condition and uncertainties the performance of controller is studied. Results presented in this paper indicate stability, robustness, improved voltage quality and tracking performance under mentioned uncertain and unknown conditions.
2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
This paper represents the effect of the FID (proportional-integral-derivative) controller over gl... more This paper represents the effect of the FID (proportional-integral-derivative) controller over glucose concentration for the variables plasma insulin, gut absorption rate, renal clearance, and independent glucose flux in the human body. The undesirable glucose concentration is drawn to the desired level by using a PID controller. The proper concentration of glucose plays a vital role in occurring the typical operation of organs in the human body. Three subsystems are included in the proposed model such as insulin subsystem, glucose subsystem and the influence of glucose subsystem. The models for all the subsystems are achieved by using the model constants given by the HOVORKA model. The effect of variation of the variables on glucose concentration with the PID controller is observed by MATLAB Simulink. The changes illustrate that the level of glucose concentration for the human body implementing the PID controller is accurate than the open-loop glucose concentration.
2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
A language model trained on a well-organized Bangla dataset can play a significant role towards p... more A language model trained on a well-organized Bangla dataset can play a significant role towards perfecting informative question answering systems in Bangla by addressing several issues faced in the development of such systems in resource limited languages. Bidirectional Encoder Representations from Transformers (BERT) is a truly bidirectional language model introduced by Google which achieves state-of-the-art performance in natural language understanding tasks. In this paper, we introduce BERT-Bangla, a language model pre-trained on a large amount of Bangla unlabeled text. We evaluate BERT-Bangla on several Bangla NLP classification tasks and achieve better performances than other existing Bangla language models. In response to the need for a well-suited Bangla question-answering dataset, we develop BQuAD (Bangla Question Answering Dataset) comprising question-answer pairs and contexts featuring various topics from multiple domains. We fine-tune BERT-Bangla on BQuAD, resulting in an extractive question-answering model that can process user-provided Bangla contexts to produce specific answer to questions.
2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
Diabetes is a medical condition that has affected millions around the world and still doing it at... more Diabetes is a medical condition that has affected millions around the world and still doing it at an increasing rate. Many researches show that an early detection of diabetes can prevent risk-factors that can be caused as a result of this disease. The inclusion of machine learning and deep learning algorithms in the early prediction of diabetes has played a big role in the health-care monitoring system. Many of the early researches put emphasis on improving the accuracy of prediction models but often, the datasets available are too short for deep learning algorithms to leverage their true potential. In this research, along with a highly accurate deep learning model, a new system has been proposed integrating cloud services where users can directly contribute to enrich an existing dataset which also can be used in improving accuracy of the deep learning methods. The model proposed in this research shows promising results on predicting diabetes and the proposed system ensures usage from anywhere in the world with contribution in further enriching an existing dataset.
Protection and Control of Modern Power Systems, 2019
This paper describes the usefulness of renewable energy throughout the world to generate power. R... more This paper describes the usefulness of renewable energy throughout the world to generate power. Renewable energy adds a remarkable scope in power system. Renewable energy sources act as the prime mover of a microgrid. The Microgrid is a small network of power system with distributed generation (DG) units connected in parallel. The integration challenges of renewable energy sources and the control of microgrid are described in this paper. The varied nature of DG system produces voltage and frequency deviation. The unknown nature of the load produces un-modeled dynamics. This un-modeled dynamic introduces measurable effects on the performance of the microgrid. This paper investigates the performance of the microgrid against different scenarios. The voltage of the microgrid is controlled by using different controllers and their results are also investigated. The performance of controllers is investigated using MATLAB/Simulink SimPowerSystems.
Protection and Control of Modern Power Systems, 2019
This paper describes the usefulness of renewable energy throughout the world to generate power. R... more This paper describes the usefulness of renewable energy throughout the world to generate power. Renewable energy adds a remarkable scope in power system. Renewable energy sources act as the prime mover of a microgrid. The Microgrid is a small network of power system with distributed generation (DG) units connected in parallel. The integration challenges of renewable energy sources and the control of microgrid are described in this paper. The varied nature of DG system produces voltage and frequency deviation. The unknown nature of the load produces un-modeled dynamics. This un-modeled dynamic introduces measurable effects on the performance of the microgrid. This paper investigates the performance of the microgrid against different scenarios. The voltage of the microgrid is controlled by using different controllers and their results are also investigated. The performance of controllers is investigated using MATLAB/Simulink SimPowerSystems.
The invention of the nanotechnology adds a new branch to investigate and control the physical pro... more The invention of the nanotechnology adds a new branch to investigate and control the physical properties of matters at atomic level. The aim of this technology is to image the characteristics of metals, biological organs, and polymers. Scanning probe microscopy (SPM) opens a new branch to analysis the atomic properties of the matters. Atomic force microscopy (AFM), a branch of SPM, is a versatile tool of nanotechnology to image both conductive and non-conductive matters with high resolution. Commercial AFM uses raster scanning technique to produce image of the matters that is responsible for low scanning speed and image quality. The performances of AFM are hampered due to low bandwidth of the scanning unit and vertical Proportional-Integral (PI) controller and may damage the surface of the samples. Different nonraster scanning techniques such as sinusoidal, rotational, spiral, cycloid, and lissajous scanning have been proposed to overcome the limitations of raster scanning method by providing high scanning speed, image quality, and resolution. This paper presents a survey of raster and non-raster scanning methods for high speed AFM and provides a compression between them in term of scanning speed, bandwidth and highest achievable scanning frequency. The control techniques applied to the AFM for improving raster, sinusoidal, spiral, cycloid, and lissajous scanning methods are studied in this paper to find most optimum scanning technique for AFM. INDEX TERMS Atomic force microscopy, raster scanning method, sinusoidal scanning method, rotational scanning method, spiral scanning method, cycloid scanning method, Lissajous scanning method, scanning speed, resolution.
-Digital watermarking is a new technique for protecting copyright digital product. In modern time... more -Digital watermarking is a new technique for protecting copyright digital product. In modern times digital watermarking is mainly focused on audio, image, and video. This paper plans and accomplishes a digital text watermarking algorithm. In digital text watermarking, several techniques are accomplished for Chinese, English, Arabic and Turkish language text by using several methods. This paper covers a new digital watermarking technique which applicable for text documents in the English language. An algorithm has been proposed by this paper which is founded on grammatical words in English and a proper encryption procedure. The grammatical rules have been focused by us like article, preposition, modal verbs and conjunction to produce encrypted message by using a watermark. The produced technique is used for verifying the several websites.
2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT), 2018
Multimachine power system consists of a large number of power generation units to produce electri... more Multimachine power system consists of a large number of power generation units to produce electrical power. The damping torque of the generators control the stability of the system. Transmission lines fault, unknown loads and disturbances hamper the damping torque of the generator. The oscillation of the performance of the power system arises due to the lack of damping torque of the generators. The oscillation of the speed, rotor angle and terminal voltage may increase or decrease and reduce the stability of the power system. This paper presents a robust integral linear quadratic gaussian controller (ILQG) to damp out the oscillation of the power system. The ILQG controller has high gain and phase margin and bandwidth. It improves the dynamic stability of the power system. The performance of power system under ILQG controller is investigated using MATLAB. The simulation results show the robustness of the proposed controller.
Interconnected power system consisting of a number of power generation units are able to fulfil t... more Interconnected power system consisting of a number of power generation units are able to fulfil the demand of electricity throughout the world. A safe and reliable operation of interconnected power system is possible when all the generators remain at synchronism state. Stability problem aries when the damping torque of these generators is reduced due to the effect of different uncertainties, faults and dynamic loads. The result of insufficient damping torque may deviate the speed of the generators and produce unsafe operation of power system due to the loss of stability and robustness of terminal voltage and rotor angle. In this paper, a nobel integral linear-quadratic Gaussian (ILQG) controller is designed to regulate the oscillation of power system for increasing stability and robustness. The better performance of the proposed controller is ensured by comparing it with the linear-quadratic regulator (LQR) and the linear-quadratic Gaussian (LQG) controllers. The comparison results ...
This paper addresses the control of islanded microgrid performances under dynamic system conditio... more This paper addresses the control of islanded microgrid performances under dynamic system conditions. The performance of microgrid is effected by load dynamics, uncertainty and produces an unsafe operation of microgrid. In this paper, a robust Integral Linear-Quadratic Gaussian (ILQG) controller is designed for controlling microgrid voltage against different uncertainties. The design of this controller is based on a comparative performances analysis of optimal controllers namely Linear-Quadratic Regulator (LQR) controller, Linear-Quadratic Gaussian (LQG) controller, Model predictive Controller (MPC) and Resonant Controller (RC)and find out most optimum controller for voltage control. Matlab Simulink is used to evaluated the performance of single phase islanded microgrid. The comparison results show that the proposed controller is capable of providing high tracking and optimum performance as compared to other controllers.
The undamped resonance of LCL filtered photovoltaic powered islanded microgrid is responsible for... more The undamped resonance of LCL filtered photovoltaic powered islanded microgrid is responsible for the reduction of the safety and stability of the system. An improved resonant controller has been proposed to damp the associated resonance of LCL filter and exhibit smoother performances by decreasing the THD value of voltage and current. High tracking capability with higher reduction ability of the effect of cross coupling ensure the better performance of the proposed controller.
The idea of microgrid, smart grid, and virtual power plant (VPP) is being developed to resolve th... more The idea of microgrid, smart grid, and virtual power plant (VPP) is being developed to resolve the challenges of climate change in the 21st century, to ensure the use of renewable energy in the electrical grid. For the increasing demand for electricity, raising public consciousness about reducing carbon emission, the microgrid is established which is transformed into a virtual power plant (VPP) or a smart grid with the blessing of modern communication systems, intelligence technology, and smart devices. So, to keep these systems up-to-date and to ensure security, it is important to know the details about the uses and benefits of these systems in the developed world and also to improve control methods and automation, it is important to achieve the present essence of such systems. This paper is focused to contribute to this flourishing area of energy sustainability covering microgrid, smart grid, and virtual power plant by compiling and recapping their recent advancements, technical requirements, control problems, and solutions. The paper is mainly intended to address the role of control strategies applied to the microgrid, smart grid, and virtual power plant towards future energy generation, distribution, management, and security. INDEX TERMS Controllers, cyber security, microgrid, renewable energy, smart grid, system architectures, virtual power plant, world market.
The concept of microgrid (MG) empowers the application of renewable energy sources (RES) to meet ... more The concept of microgrid (MG) empowers the application of renewable energy sources (RES) to meet the increasing demand of electrical power, which further inspires us to enable this technology under the study of inverter-based industrial loads (IL). The inclusion of inverter-based IL adds some noises in the MGs dynamics because of the non-linear characteristics of inverter and parametric uncertainty of loads. The above constraints impose extra-challenges to maintain reliable operation of the MGs. In this paper, integral based linear quadratic gaussian (ILQG) controller is proposed to maintain the tracking operation via the control of inverter used with ILs, which is further connected with the dc bus which is regulated by the inverter in grid side and dc-dc converter applied in utility grid, PV and battery, respectively. The proposed ILQG controller is designed based on the proper combination of linear quadratic gaussian (LQG) and integral controller and its performance is evaluated by changing the operating conditions, which includes the switching of supplying power from PV, and both PV and battery. Additionally, the investigation under the variation of the IL parameters and comparison with resonant controller is used to ensure the robust performance of the ILQG controller.
2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)
Future grids will consist of many small and large subgrids that will require complex control for ... more Future grids will consist of many small and large subgrids that will require complex control for grid interaction as well as tracking of operation. This paper presents the design of a robust integral linear quadratic Gaussian (ILQG) controller for damping and tracking control of subgrid voltage of hybrid microgrid. The design of ILQG is carried out by augmenting the subgrid dynamics with an integrator that takes power from the DC bus connecting with AC and PV based DC grid. The subgrid consists of a parallel combination of several uncertain and unknown loads that may produce the voltage oscillation. The performance of ILQG is evaluated for various load dynamics and compared with the LQG, LQR, and integral controller in terms of bandwidth. The robustness of proposed controller is studied by considering a number of uncertainties within subgrid model. Results show that the proposed ILQG controller provides improved robust performance than others.
2017 3rd International Conference on Electrical Information and Communication Technology (EICT)
This paper presents the design of a robust model predictive controller for grid voltage control o... more This paper presents the design of a robust model predictive controller for grid voltage control of an islanded microgrid. Several distributed generation units are connected in parallel for making a microgrid. The uncertain and unknown nature of the load produces un-modeled dynamics. This un-modeled dynamic introduces the measurable effect of the performance of the microgrid. The objective of the design of the controller is to control the grid voltage against different type loads. The design of this controller is done by using the discrete valued function that provides the extensive tracking performance of microgrid. The effectiveness of the proposed controller is validated by using MATLAB/Simulink SimPowerSystems. The simulation results show that the proposed controller provides the high tracking performance for voltage control of the microgrid system.
Battery ensures power solutions for many necessary portable devices such as electric vehicles, mo... more Battery ensures power solutions for many necessary portable devices such as electric vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted incidents involving Li-ion batteries have also increased to some extent. In particular, the sudden breakdown of industrial and lightweight machinery due to battery failure causes a substantial economic loss for the industry. Consequently, battery state estimation, management system, and estimation of the remaining useful life (RUL) have become a topic of interest for researchers. Considering this, appropriate battery data acquisition and proper information on available battery data sets may require. This review paper is mainly focused on three parts. The first one is battery data acquisitions with commercially and freely available Li-ion battery data set information. The second is the estimation of the states of battery with the battery management system. And third is battery RUL estimation. Various RUL prognostic methods applied for Li-ion batteries are classified, discussed, and reviewed based on their essential performance parameters. Information on commercially and publicly available data sets of many battery models under various conditions is also reviewed. Various battery states are reviewed considering advanced battery management systems. To that end, a comparative study of Li-ion battery RUL prediction is provided together with the investigation of various RUL prediction algorithms and mathematical modelling. INDEX TERMS Battery datasets, battery data repository, remaining useful life (RUL), battery management, li-ion battery, RUL prediction methods. 3) DATA SET APPLICATION According to the author, this data set can apply to the SOC calculation, battery health management, and other battery prognostic modeling [43].
Smart electric vehicles (EVs) are attractive because of their clean, zero-emission, low impact on... more Smart electric vehicles (EVs) are attractive because of their clean, zero-emission, low impact on the environment whilst providing a safer and smoother riding experience. To provide the latter, driving control requires appropriate systems and algorithms to optimize smart vehicle performance, maximize vehicle stability and protection, minimize accident probability, heighten driving comfort, and optimize transportation costs. Despite advancements in these areas, the realization of optimal smart EVs still requires considerable effort. This paper reviews driving control systems and algorithms for smart EVs, including the advanced driving assistant system, implementation of sensors, vehicle dynamics, and control algorithms. The major contribution of this review is to identify promising work to assist researchers with the most advanced trends in this area for prospective regulations. INDEX TERMS Smart Electric Vehicles (EVs), Driving Control Systems (DCS), Advanced Driving Assistance System (ADAS), Algorithms.
2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
Microgrid uses renewable energy sources to generate power and this is one of the most important r... more Microgrid uses renewable energy sources to generate power and this is one of the most important reasons for drawing attention of researchers. Microgrid is a small scaled power generation unit which is a set of loads, distributed generation units, voltage source inverters, PCC, filters etc. Parameters and loads are unknown and uncertain which cause unmodeled dynamics of loads. Tracking performance of voltage degrades due to different uncertainties and unmodeled load dynamics of microgrid. This paper presents the design of a data driven model predictive controller to control the voltage of a single phase islanded microgrid. The way in which the controller is designed ensures robustness, guarantees performance and stability against unmodeled dynamics, unknown loads and all other uncertainties. MATLAB/SIMULINK is used to carry out the simulation of controller and the results are found for open and closed loop system. Under different load condition and uncertainties the performance of controller is studied. Results presented in this paper indicate stability, robustness, improved voltage quality and tracking performance under mentioned uncertain and unknown conditions.
2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
This paper represents the effect of the FID (proportional-integral-derivative) controller over gl... more This paper represents the effect of the FID (proportional-integral-derivative) controller over glucose concentration for the variables plasma insulin, gut absorption rate, renal clearance, and independent glucose flux in the human body. The undesirable glucose concentration is drawn to the desired level by using a PID controller. The proper concentration of glucose plays a vital role in occurring the typical operation of organs in the human body. Three subsystems are included in the proposed model such as insulin subsystem, glucose subsystem and the influence of glucose subsystem. The models for all the subsystems are achieved by using the model constants given by the HOVORKA model. The effect of variation of the variables on glucose concentration with the PID controller is observed by MATLAB Simulink. The changes illustrate that the level of glucose concentration for the human body implementing the PID controller is accurate than the open-loop glucose concentration.
2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
A language model trained on a well-organized Bangla dataset can play a significant role towards p... more A language model trained on a well-organized Bangla dataset can play a significant role towards perfecting informative question answering systems in Bangla by addressing several issues faced in the development of such systems in resource limited languages. Bidirectional Encoder Representations from Transformers (BERT) is a truly bidirectional language model introduced by Google which achieves state-of-the-art performance in natural language understanding tasks. In this paper, we introduce BERT-Bangla, a language model pre-trained on a large amount of Bangla unlabeled text. We evaluate BERT-Bangla on several Bangla NLP classification tasks and achieve better performances than other existing Bangla language models. In response to the need for a well-suited Bangla question-answering dataset, we develop BQuAD (Bangla Question Answering Dataset) comprising question-answer pairs and contexts featuring various topics from multiple domains. We fine-tune BERT-Bangla on BQuAD, resulting in an extractive question-answering model that can process user-provided Bangla contexts to produce specific answer to questions.
2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
Diabetes is a medical condition that has affected millions around the world and still doing it at... more Diabetes is a medical condition that has affected millions around the world and still doing it at an increasing rate. Many researches show that an early detection of diabetes can prevent risk-factors that can be caused as a result of this disease. The inclusion of machine learning and deep learning algorithms in the early prediction of diabetes has played a big role in the health-care monitoring system. Many of the early researches put emphasis on improving the accuracy of prediction models but often, the datasets available are too short for deep learning algorithms to leverage their true potential. In this research, along with a highly accurate deep learning model, a new system has been proposed integrating cloud services where users can directly contribute to enrich an existing dataset which also can be used in improving accuracy of the deep learning methods. The model proposed in this research shows promising results on predicting diabetes and the proposed system ensures usage from anywhere in the world with contribution in further enriching an existing dataset.
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Papers by faisal badal