Fuzzy Controller Based Reserve Management in Hybrid Microgrid for Frequency Regulation
Phani kumar K.S.V1, S. Venkateshwarlu2
1Phani kumar K.S.V*, Department of Electrical and Electronics, CVR College of Engineering, Hyderabad, India.
2S. Venkateshwarlu, Department of Electrical and Electronics, CVR College of Engineering, Hyderabad, India.
Manuscript received on September 21, 2019. | Revised Manuscript received on October 05, 2019. | Manuscript published on October 30, 2019. | PP: 652-663 | Volume-9 Issue-1, October 2019 | Retrieval Number: F8853088619/2019©BEIESP | DOI: 10.35940/ijeat.F8853.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Power quality is a growing concern with sensible and critical loads asking for stringent frequency regulations. The distributed generation sources like Solar Photovoltaic, Diesel Generator, Fuel Cells, and Battery driven Electric Vehicles (BEV) are considered as power sources in the system. For the power-sharing among these generators, a central controller with a novel simple adaptive-additive control strategy is used. Each source has a local controller to regulate the power outputs. This paper presents a Neuro-Fuzzy controller for operating Solar Photovoltaic power at a Limited Power Point while a novel Neuro-Tuned-Fuzzy Controller decides which BEVs to be connected to the microgrid by giving a priority value to each BEV. The simulation results show the coordinated operation of the central and local controllers to regulate the power outputs of the sources was effective to manage reserves and achieve frequency regulation.
Keywords: Vehicle to Grid, Neuro Fuzzy Controller, Frequency Regulation, Energy management.