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Solar-Fed Single-Input Three-Output DC–DC Converters for Low-Power Applications Read chapter Read first chapter

2020 | OriginalPaper | Chapter

SHO Algorithm-Based Fuzzy-Aided PID Controller for AGC Study

Authors : S. Sahoo, N. K. Jena, D. P. Das, Binod Kumar Sahu, Manoj Kumar Debnath

Published in: Innovation in Electrical Power Engineering, Communication, and Computing Technology

Publisher: Springer Singapore

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Abstract

This paper articulates automatic generation control (AGC) of a three-area multi-unit power system by proposing a fuzzy-aided PID controller incorporated with filter (FPIDF). An inexhaustible photovoltaic (PV) source is injected in the first area of the recommended conventional power system. The challenges arise due to the PV source; a sturdy secondary controller is quintessential. An optimal FPIDF controller is designed by applying a new algorithm named as selfish herd optimization algorithm. To demonstrate the validity of the proposed controller, the transient response evaluated by FPIDF is compared with the PID controller. Further, the robustness is examined by forcing a random step load in area-1.

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previous chapter Economic Operation of Diesel Generator in an Isolated Hybrid System with Pumped Hydro Storage
Appendix
Available only for authorised users
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Metadata
Title
SHO Algorithm-Based Fuzzy-Aided PID Controller for AGC Study
Authors
S. Sahoo
N. K. Jena
D. P. Das
Binod Kumar Sahu
Manoj Kumar Debnath
Copyright Year
2020
Publisher
Springer Singapore
Book
Innovation in Electrical Power Engineering, Communication, and Computing Technology

Print ISBN: 978-981-15-2304-5

Electronic ISBN: 978-981-15-2305-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-2305-2_58