A load frequency control in an off-grid sustainable power system based on a parameter adaptive PID-type fuzzy controller

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Ferdian Ronilaya, Hajime Miyauchi

2014 International Journal of Emerging Electric Power Systems Vol. 15 Issue 5 Article Cited by 8 Quartile

Abstract

This paper presents a new implementation of a parameter adaptive PID-type fuzzy controller (PAPIDfc) for a grid-supporting inverter of battery to alleviate frequency fluctuations in a wind-diesel power system. A variable speed wind turbine that drives a permanent magnet synchronous generator is assumed for demonstrations. The PAPIDfc controller is built from a set of control rules that adopts the droop method and uses only locally measurable frequency signal. The output control signal is determined from the knowledge base and the fuzzy inference. The input-derivative gain and the output-integral gain of the PAPIDfc are tuned online. To ensure safe battery operating limits, we also propose a protection scheme called intelligent battery protection (IBP). Several simulation experiments are performed by using MATLAB®/SimPowersystems™. Next, to verify the scheme's effectiveness, the simulation results are compared with the results of conventional controllers. The results demonstrate the effectiveness of the PAPIDfc scheme to control a grid-supporting inverter of the battery in the reduction of frequency fluctuations. © 2014 by De Gruyter 2014.

Affiliations

Department of Electrical Engineering, State Polytechnic of Malang, Jalan Soekarno-Hatta No. 9, Malang, East Java, Indonesia; Graduate School of Science and Technology, Kumamoto University, Kumamoto Prefecture, 860-0862, Japan