Papers by Tejaswinee Darure
Energies , 2021
Renewable generation and energy storage systems are technologies which evoke the future
energy pa... more Renewable generation and energy storage systems are technologies which evoke the future
energy paradigm. While these technologies have reached their technological maturity, the way they
are integrated and operated in the future smart grids still presents several challenges. Microgrids
appear as a key technology to pave the path towards the integration and optimized operation in smart
grids. However, the optimization of microgrids considered as a set of subsystems introduces a high
degree of complexity in the associated control problem. Model Predictive Control (MPC) is a control
methodology which has been satisfactorily applied to solve complex control problems in the industry
and also currently it is widely researched and adopted in the research community. This paper reviews
the application of MPC to microgrids from the point of view of their main functionalities, describing
the design methodology and the main current advances. Finally, challenges and future perspectives
of MPC and its applications in microgrids are described and summarized.
—This paper presents a model-based approach to fault-adaptive control for damper lock-in place fa... more —This paper presents a model-based approach to fault-adaptive control for damper lock-in place failures in variable-air-volume (VAV) boxes in building heating, ventilation and airconditioning systems. The fault-adaptive controller integrates a dedicated bank of unknown input residual generators for fault detection/isolation followed by suitably designed fault estimators and a model predictive controller. The accommodation of the controller to the fault is achieved by online modification of the constraints in the model predictive control to achieve reduced energy consumption and thermal comfort under faulty modes. The proposed fault-adaptive control law is demonstrated on a four-zones building benchmark.
—Reducing building life cycle cost has been an important issue where minimizing the operational e... more —Reducing building life cycle cost has been an important issue where minimizing the operational energy use and the maintenance cost are of primary concerns. This paper presents a new approach to model predictive control, where the above objectives can be addressed directly for the energy use and at least indirectly for the maintenance cost. In the predictive control formulation, we explicitly consider two terms: the first term is related to the energy consumption and the second term will address indirectly the maintenance cost through minimizing setpoint variations in order to provide smooth setpoint trajectories to the actuators. Thus eliminating the fluctuations in the setpoints lead to reduced fatigue of actuator components. Clearly this will lower the systematic maintenance cost significantly. This second term is actually a penalizing or regularization term which will shrink to zero the fluctuations in the setpoints. This proposed approach to model predictive control with this variations regularization term is demonstrated on a four zone building.
— This paper presents a potential effective approach to fault adaptive control for damper stucks ... more — This paper presents a potential effective approach to fault adaptive control for damper stucks in variable-air-volume (VAV) boxes in building heating, ventilation and airconditioning systems. The fault-adaptive controller integrates a dedicated bank of unknown input residual generators for fault detection/isolation followed by suitably designed fault estimators and a model predictive controller. The adaptation of the controller to the fault is achieved by online modification of the constraints in the model predictive control to achieve reduced energy consumption and thermal comfort under faulty modes. The proposed fault-adaptive control law is demonstrated on a four-zones building benchmark.
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Papers by Tejaswinee Darure
energy paradigm. While these technologies have reached their technological maturity, the way they
are integrated and operated in the future smart grids still presents several challenges. Microgrids
appear as a key technology to pave the path towards the integration and optimized operation in smart
grids. However, the optimization of microgrids considered as a set of subsystems introduces a high
degree of complexity in the associated control problem. Model Predictive Control (MPC) is a control
methodology which has been satisfactorily applied to solve complex control problems in the industry
and also currently it is widely researched and adopted in the research community. This paper reviews
the application of MPC to microgrids from the point of view of their main functionalities, describing
the design methodology and the main current advances. Finally, challenges and future perspectives
of MPC and its applications in microgrids are described and summarized.
energy paradigm. While these technologies have reached their technological maturity, the way they
are integrated and operated in the future smart grids still presents several challenges. Microgrids
appear as a key technology to pave the path towards the integration and optimized operation in smart
grids. However, the optimization of microgrids considered as a set of subsystems introduces a high
degree of complexity in the associated control problem. Model Predictive Control (MPC) is a control
methodology which has been satisfactorily applied to solve complex control problems in the industry
and also currently it is widely researched and adopted in the research community. This paper reviews
the application of MPC to microgrids from the point of view of their main functionalities, describing
the design methodology and the main current advances. Finally, challenges and future perspectives
of MPC and its applications in microgrids are described and summarized.