Extremum Seeking-based Adaptive Voltage Control of ...
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MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Extremum Seeking-based Adaptive Voltage Control of Distribution Systems with High PV Penetration Wei, C.; Benosman, M. TR2016-131 September 2016 Abstract With the increasing capacity of grid-connected PV systems, ancillary service such as voltage regulation at point of common coupling (PCC) is available from PV systems by controlling the amount of reactive power injected to the grid. This paper proposes an adaptive voltage control method of distribution systems with high-level PV penetration. The modelfree extremum seeking (ES) control algorithm is used to autotune the PI feedback gains of the voltage controller to respond dynamically to system changes. The PI gains of the voltage controller are updated online through the minimization of a cost function, which represents the voltage controller performance. The proposed ES-based adaptive voltage controller is tested in a distribution system model with a 5-MW PV system built in Matlab/Simulink. Simulation results show that compared with traditional PI controller, the proposed voltage controller can easily adapt to load changes and grid faults, thus improving the power system reliability and voltage stability. Conference on Innovative Smart Grid Technologies (ISGT) This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Copyright c Mitsubishi Electric Research Laboratories, Inc., 2016 201 Broadway, Cambridge, Massachusetts 02139
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MITSUBISHI ELECTRIC RESEARCH LABORATORIEShttp://www.merl.com
Extremum Seeking-based Adaptive Voltage Control ofDistribution Systems with High PV Penetration
Wei, C.; Benosman, M.
TR2016-131 September 2016
AbstractWith the increasing capacity of grid-connected PV systems, ancillary service such as voltageregulation at point of common coupling (PCC) is available from PV systems by controlling theamount of reactive power injected to the grid. This paper proposes an adaptive voltage controlmethod of distribution systems with high-level PV penetration. The modelfree extremumseeking (ES) control algorithm is used to autotune the PI feedback gains of the voltagecontroller to respond dynamically to system changes. The PI gains of the voltage controllerare updated online through the minimization of a cost function, which represents the voltagecontroller performance. The proposed ES-based adaptive voltage controller is tested in adistribution system model with a 5-MW PV system built in Matlab/Simulink. Simulationresults show that compared with traditional PI controller, the proposed voltage controllercan easily adapt to load changes and grid faults, thus improving the power system reliabilityand voltage stability.
Conference on Innovative Smart Grid Technologies (ISGT)
This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy inwhole or in part without payment of fee is granted for nonprofit educational and research purposes provided that allsuch whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi ElectricResearch Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and allapplicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall requirea license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved.
Copyright c© Mitsubishi Electric Research Laboratories, Inc., 2016201 Broadway, Cambridge, Massachusetts 02139
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