Application of bat algorithm to optimize scaling factors of fuzzy logic-based power system stabilizer for multimachine power system

DOI10.1515/ijnsns-2015-0025zbMath1401.93128OpenAlexW2317019156MaRDI QIDQ1661506

Y. Aharonov

Publication date: 16 August 2018

Published in: International Journal of Nonlinear Sciences and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/ijnsns-2015-0025

zbMATH Keywords

bat algorithmBA-optimized fuzzy power system stabilizerfuzzy power system stabilizerIEEE ten-machine thirty-nine-bus test power system

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Fuzzy control/observation systems (93C42) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

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Cites Work

• Optimization by Simulated Annealing
• Induction of fuzzy rules and membership functions from training examples
• Soft computing applications in industry.
• Multi machine power system excitation control design via theories of feedback linearization control and nonlinear robust control
• Optimisation of the weighting functions of anH_∞controller using genetic algorithms and structured genetic algorithms
• A New Metaheuristic Bat-Inspired Algorithm
• A discrete-time coordinated adaptive stabilizer for multimachine power systems
• Robust decentralized fast-output sampling technique based power system stabilizer for a multi-machine power system

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