Papers by om prakash mahela
K-means Clustering and Linear Regression Based Protection Scheme for Transmission Line
2020 IEEE 9th Power India International Conference (PIICON)
In this paper, shunt fault is detected, classified and located in power transmission line. The sy... more In this paper, shunt fault is detected, classified and located in power transmission line. The synchronized Current signals at both the bus of the transmission line are used for obtaining approximate coefficients using wavelet transform. The proposed algorithm is used K-means clustering to detect and classify the faults. Fault location is estimated using linear regression method. The approximate wavelet coefficients of the both the buses are added to get resultant approximate coefficients. K-means clustering is applied on these resultant approximate coefficients to computes two centroid in a half cycle. The centroid difference (C.D) is computed, and the basis of the centroid difference the fault is detected and classified. Various case studies such as vary fault location, fault incidence angle and fault impedance to verify the robustness of the algorithm.
Conducted electromagnetic emissions of compact fluorescent lamps and electronic ballast modeling
AIMS electronics and electrical engineering, 2022
A Voltage Algorithm using Discrete Wavelet Transform and Hilbert Transform for Detection and Classification of Power System Faults in the Presence of Solar Energy
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)
This presents a voltage based algorithm using hybrid features of voltage extracted using discrete... more This presents a voltage based algorithm using hybrid features of voltage extracted using discrete wavelet transform (DWT) and Hilbert transform (HT) for identification and classification of faults on transmission line in the presence of solar energy. The proposed algorithm presents the fault indexes based on voltage signal which is used for investigations of faults. The voltage signal is processed using DWT at a sampling frequency (SF) of 3.907 kHz for obtaining W-index using detailed coefficient at first decomposition level. This voltage signal is also processed using HT at a SF of 3.907 kHz for obtaining proposed H-index from absolute magnitude of Hilbert transform output. Proposed fault index is obtained by multiplying the W-index and H-index. A threshold value of proposed voltage based fault index (FI) is selected to discriminate faulty phase from healthy one. Investigated faults in the presence of solar energy include line to ground (LG), double line (LL), double line with ground (LLG) and three phase with ground (LLLG).
Fault Events Recognition to Design a Current Based Transmission Line Protection Scheme Using Signal Processing Techniques
2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
Recognition of Faults in Grid Connected Solar Photovoltaic Farm Using Current Features Evaluated Using Stockwell Transform Based Algorithm
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)
This paper introduces research work focussed on designing an algorithm using Stockwell Transform ... more This paper introduces research work focussed on designing an algorithm using Stockwell Transform for estimation of faults in grid integrated solar PV farm using current signals. An algorithm based on Features such as median and summing absolute values of Stockwell Transform using the current signal has been presented in this manuscript. Proposed algorithm can be utilized in protection schemes of the transmission and distribution feeders in the grid integrated solar PV farms. Algorithm has been tested for the estimation of the faults such as phase to ground, phase to phase, two phases to ground and three phases to ground fault on the AC side of the grid. Algorithm is also tested for estimation of faults on the DC bus of the solar PV farms.
Recognition of Disturbances in Hybrid Grid Using Discrete Wavelet Transform and Stockwell Transform Based Algorithm
2020 First IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA)
An algorithm supported by features of both discrete wavelet transform (DWT) and Stockwell transfo... more An algorithm supported by features of both discrete wavelet transform (DWT) and Stockwell transform (ST) has been proposed for recognition of the disturbances on the grid. Voltage signals recorded on the point of common coupling (PCC) of hybrid grid test system is decomposed with the help of DWT and a proposed DWT-index is extracted. Similarly, same voltage signal is decomposed and a proposed S-index is extracted. A proposed disturbance index (DI) is calculated element by element multiplication of DWT-index and S-index. Relative values of this index indicate the level of disturbances in the test network. Classification of disturbances due to the operational events and faulty events is performed using the decision tree based on rules. It is anticipated that the proposed hybrid power grid will be effective to achieve the objective of retiring the thermal power plants in India by 2029-30 as decided by the Central electricity authority (CEA) of the India and proposed algorithm will effectively recognize the various disturbances in the utility grid. Proposed study is carried out using MATLAB software.
DC smart micro grid protection system
Smart Cities Policies and Financing
Energies
Low-frequency oscillations are an inevitable phenomenon of a power system. This paper proposes an... more Low-frequency oscillations are an inevitable phenomenon of a power system. This paper proposes an Ant lion optimization approach to optimize the dual-input power system stabilizer (PSS2B) parameters to enhance the transfer capability of the 400 kV line in the North-West region of the Ethiopian electric network by the damping of low-frequency oscillation. Double-input Power system stabilizers (PSSs) are currently used in power systems to damp out low-frequency oscillations. The gained minimum damping ratio and eigenvalue results of the proposed Ant lion algorithm (ALO) approach are compared with the existing conventional system to get better efficiency at various loading conditions. Additionally, the proposed Ant lion optimization approach requires minimal time to estimate the key parameters of the power oscillation damper (POD). Consequently, the average time taken to optimally size the parameters of the PSS controller was 14.6 s, which is pretty small and indicates real-time implem...
An Algorithm for Identification of Multiple Power Quality Disturbances
Artificial Intelligence-Based Energy Management Systems for Smart Microgrids
Artificial Intelligence-Based Energy Management Systems for Smart Microgrids
Artificial Intelligence-Based Energy Management Systems for Smart Microgrids
Islanding detection in utility grid with renewable energy using rate of change of frequency and signal processing technique
AIMS Electronics and Electrical Engineering
This manuscript has introduced an algorithm based on current signals and frequency rate change (R... more This manuscript has introduced an algorithm based on current signals and frequency rate change (ROCOF) to identify islanding events. Current is analyzed by the use of Stockwell transform (ST) at 3.84 kHz sampling frequency (SF) and a median of absolute values of every column of output matrix (CSIRI) is computed. Rate of change of CSIRI (ROCOCSIRI) is computed. Proposed current based islanding recognition index (IRIC) is computed by multiplying ROCOF with CSIRI & ROCOCSIRI and a weight factor (WC). Threshold values THI1 & THI2 are selected 100 and 3000 for IRIC for identifying the Islanding condition. These are also effective to differentiate islanding conditions from non-islanding events which include both the faulty and operational events. Magnitude of IRIC is greater than 3000 for the faulty events and lower than 100 for operational events. For islanding events magnitude of IRIC falls in between the 100 and 3000. Algorithm is effective to identify and classify the events in three ...
Optimal Generation Mix Based Design of Grid Integrated Hybrid Renewable Energy Farm with Common DC bus and Performance Evaluation
2020 First IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA), 2020
Central electricity authority (CEA) of the India has estimated that a time period of 10-12 years ... more Central electricity authority (CEA) of the India has estimated that a time period of 10-12 years is sufficient to make the relevant policies and modify system for achieving generation mix and retire thermal power plants. CEA has decided that the optimal generation capacity mix in the Indian grid may be by the year 2029-30 according the load demand of 19th Electric Power Survey (EPS). This could be achieved by combining the wind and solar power plants through a common direct current (DC) bus so that power may be stored easily in the battery energy storage devices during peak renewable energy (RE) generation and supplied to the load centres when RE power is not available. Hence, research work carried out in this paper is focussed to design a hybrid power system for integration of the wind and solar photovoltaic (PV) power plants to the utility grid through a common DC bus. Effectiveness of the hybrid power system is established by evaluating performance in terms various parameters.
Current Based Transmission Line Protection Algorithm Using Signal Processing Techniques
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS), 2020
The research work included in the paper is focussed on design of a current based protection schem... more The research work included in the paper is focussed on design of a current based protection scheme using signal processing methods which is effective to provide the main as well as back up protection using the same algorithm. Current signals associated with all the three-phases are decomposed using the discrete ortonormal Stockwell transform (DOST) and absolute magnitude of output of DOST are evaluated and designated as DOS-index. Current signals of all the three phases are also decomposed with the aid of Fast Fourier transform (FFT) and absolute magnitudes of the output are evaluated and designated as FFT-index. Further, the current are also decomposed with the aid of Hilbert transform (HT) and evaluated using the absolute magnitudes of output which is assumed as H-index. Element by element multiplication of the DOS-index, FFT-index and H-index are evaluated to calculate the proposed current based Fault index (FI). Threshold magnitude of 10000 is finalized for proposed current based fault index. By comparing values of FI with threshold, the different natures of faults are detected. Classification of the faults is achieved with the help of decision rules using the peak values of the FI. It is established that current based fault indexes will be the key factors for detection of various types of faults on transmission line. It will also be established that proposed current based algorithms will be fast compared to the algorithms such as Wavelet transform, HT, Stcokwell transform and fast Fourier transform used individually.
Detection of power quality disturbances in the utility grid using stockwell transform
2016 IEEE 7th Power India International Conference (PIICON), 2016
Power quality (PQ) problem is the deviation of voltage and current from their standard waveforms.... more Power quality (PQ) problem is the deviation of voltage and current from their standard waveforms. Penetration of renewable energy (RE) sources such as wind and solar photovoltaic (PV) system into the utility network affects the quality of power supplied. This paper presents the detection of power quality disturbances in the distribution network with various scenarios in the presence of solar PV system. The features extracted by multi-resolution analysis of the voltage signal captured at the point of common coupling (PCC) based on Stockwell's Transform have been utilized for detection of PQ disturbances. The study has been performed on the IEEE 13 bus test system modified to incorporate the solar PV system. The results have been validated in MATLAB/Simulink environment.
Recognition and Mitigation of Power Quality Disturbances in Renewable Energy Interfaced Hybrid Power Grid
2020 12th International Conference on Computational Intelligence and Communication Networks (CICN), 2020
This research work introduces an algorithm supported by joint features of Stockwell Transform (ST... more This research work introduces an algorithm supported by joint features of Stockwell Transform (ST) and Hilbert transform (HT) for identification of power quality (PQ) disturbances. Further, this method has been implemented for identification of the PQ disturbances in the utility grid with renewable energy (RE) penetration realized by IEEE-13 bus test grid. A distribution static compensator (DSTATCOM) supported by the battery energy storage system (BESS) has been proposed for improvement of power quality in the grid with RE sources. Control of DSTATCOM is achieved using synchronous reference theory. The results are established using the MATLAB software and Simulink environment.
Improvement of Power Quality in Distribution Grid with Renewable Energy Generation Using DSTATCOM
2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 2021
This manuscript introduces a study for improvement of power quality (PQ) in distribution network ... more This manuscript introduces a study for improvement of power quality (PQ) in distribution network with renewable energy (RE). PQ improvement is achieved by application of distribution static compensator (DSATCOM) equipped with a battery energy storage system (BESS) on the DC link capacitor. This DSTATCOM control is achieved using a synchronous reference frame theory (SRFT). A hybrid method is designed using features computed from voltage signal by application of Stockwell transform (ST) and Hilbert transform (HT) to assess improvement in quality of power by the use of DSTATCOM equipped with BESS. Study is performed on a distribution grid realized by IEEE-13 nodes test system equipped with the DSTATCOM, a wind power plant (WPP) and a solar power plant (SPP) MATLAB/Simulink environment. Proposed approach effectively improved the PQ in the operational events including feeder tripping, feeder closing and outage of both SPP and WPP.
AI, 2020
To judge the ability of convolutional neural networks (CNNs) to effectively and efficiently trans... more To judge the ability of convolutional neural networks (CNNs) to effectively and efficiently transfer image representations learned on the ImageNet dataset to the task of recognizing COVID-19 in this work, we propose and analyze four approaches. For this purpose, we use VGG16, ResNetV2, InceptionResNetV2, DenseNet121, and MobileNetV2 CNN models pre-trained on ImageNet dataset to extract features from X-ray images of COVID and Non-COVID patients. Simulations study performed by us reveal that these pre-trained models have a different level of ability to transfer image representation. We find that in the approaches that we have proposed, if we use either ResNetV2 or DenseNet121 to extract features, then the performance of these approaches to detect COVID-19 is better. One of the important findings of our study is that the use of principal component analysis for feature selection improves efficiency. The approach using the fusion of features outperforms all the other approaches, and with...
Investigation of Power Quality Events in Distribution Network with Wind Energy Penetration
2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), 2018
This research work aims to present a Stockwell transform based technique for the investigation of... more This research work aims to present a Stockwell transform based technique for the investigation of the power quality disturbances associated with solar PV system integrated with the utility grid due to the operational events such as switching on and off the capacitor banks, switching on and off the loads, tripping and reclosing the feeders. The power quality disturbances associated with the considered events has been investigated and effectively detected with the help of proposed algorithm using the various S-transform based plots. The detailed simulation study of power quality disturbances has been carried out in MATLAB/Simulink environment using the IEEE-13 bus test system incorporated with the solar PV system.
Experimental investigation of power quality disturbances associated with grid integrated wind energy system
2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), 2017
This paper presents the experimental investigation of power quality (PQ) disturbances associated ... more This paper presents the experimental investigation of power quality (PQ) disturbances associated with the grid integrated wind energy generator. PQ disturbances associated with the grid synchronization and outage of doubly fed induction generator (DFIG) based wind energy generation system have been investigated in the presence of various types of loads. The voltage signal has been captured at point of common coupling (PCC) using the data acquisition system consisting of power quality analyser, laptop, and WT viewer software. The voltage signal has been analysed using MATLAB software to find the PQ disturbances. It has been observed that the PQ disturbances such as voltage fluctuations, flicker, voltage sag, voltage swell and harmonics are associated with the grid synchronization and outage of DFIG based wind energy conversion system.
Power Quality Mitigation in a Distribution Network Using a Battery Energy Storage System
Active Electrical Distribution Network, 2021
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Papers by om prakash mahela