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A design for robust power system stabilizer by means of H∞ control and particle swarm optimization method
Author(s) -
Zoka Yoshifumi,
Miyatani Hajime,
Yorino Naoto
Publication year - 2008
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.10132
Subject(s) - particle swarm optimization , robustness (evolution) , control theory (sociology) , electric power system , oscillation (cell signaling) , computer science , genetic algorithm , mathematical optimization , engineering , control engineering , power (physics) , control (management) , mathematics , algorithm , artificial intelligence , physics , biochemistry , chemistry , genetics , quantum mechanics , biology , gene
This paper proposes two types of PSS design methods that take into account robustness for comparably large power systems. The first one is a design method based on ∞ control theory and the second one is a parameter determination method for a standard PSS by using Particle Swarm Optimization (PSO). In order to deal with large‐scale systems, a reduced model is developed to get the target system which preserves major oscillation modes only. The major oscillation modes are selected by using the residue concept, and the PSS is designed based on the target system. In order to verify effectiveness, the proposed methods are compared with the other previously proposed method based on a Genetic Algorithm (GA) through many numerical simulations. © 2008 Wiley Periodicals, Inc. Electron Comm Jpn, 91(8): 34–43, 2008; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecj.10132