Fuzzy controller based reserve management in hybrid microgrid for frequency regulation

Citations of this article
Mendeley users who have this article in their library.
Get full text


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.




Phani Kumar, K. S. V., & Venkateshwarlu, S. (2019). Fuzzy controller based reserve management in hybrid microgrid for frequency regulation. International Journal of Engineering and Advanced Technology, 9(1), 652–663. https://doi.org/10.35940/ijeat.F8853.109119

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free