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Erschienen in: Microsystem Technologies 9/2018

15.02.2018 | Technical Paper

Design of MI fuzzy PID controller optimized by Modified Group Hunting Search algorithm for interconnected power system

verfasst von: Jyoti Ranjan Nayak, Binod Shaw, Sudeepa Das, Binod Kumar Sahu

Erschienen in: Microsystem Technologies | Ausgabe 9/2018

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Abstract

This paper is validated the multi inputs (two inputs) fuzzy PID (MIFPID) controller as automatic generation control (AGC) over two disparate consolidation of single input FPID (SIFPID-1 and SIFPID-2) controller for a two area interconnected power system. The objective function is formulated by concerning undershoot, overshoot, and settling time of frequency and tie-line power deviation of the power system by implementing two different SIFPID and MIFPID controllers individually as AGC in each area. Modification of Group Hunting Search optimization (MGHS) is proposed to optimize the gain parameters of controllers to minimize the multi-objective problem with constraint. All the performances of these controllers as AGC are examined by implementing a load disturbance of 1% (0.01 p.u.) in area-1. Finally, MIFPID controller optimized by MGHS algorithm contributes better performance in the proposed system.

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Metadaten
Titel
Design of MI fuzzy PID controller optimized by Modified Group Hunting Search algorithm for interconnected power system
verfasst von
Jyoti Ranjan Nayak
Binod Shaw
Sudeepa Das
Binod Kumar Sahu
Publikationsdatum
15.02.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Microsystem Technologies / Ausgabe 9/2018
Print ISSN: 0946-7076
Elektronische ISSN: 1432-1858
DOI
https://doi.org/10.1007/s00542-018-3788-3

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