A novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensator

In this paper, a novel evolution (MDE) algorithm optimized fuzzy PID controller is proposed for load frequency control (LFC) of interconnected power system with the consideration of nonlinearity. The gains of the fuzzy PID controller are optimized using different strategies of DE algorithm. Then, mo...

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Bibliographic Details
Published inJournal of Electrical Systems and Information Technology Vol. 5; no. 3; pp. 944 - 963
Main Authors Sahoo, Dillip Kumar, Sahu, Rabindra Kumar, Sekhar, G.T. Chandra, Panda, Sidhartha
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.12.2018
SpringerOpen
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Summary:In this paper, a novel evolution (MDE) algorithm optimized fuzzy PID controller is proposed for load frequency control (LFC) of interconnected power system with the consideration of nonlinearity. The gains of the fuzzy PID controller are optimized using different strategies of DE algorithm. Then, modification in DE algorithm is proposed for the best strategy by a simple but effective scheme of changing two of its most important control parameters (step size and crossover probability) with an objective of achieving improved performance. Additionally, a thyristor controlled series compensator (TCSC) model is developed which is suitable for LFC problem. The performance of fuzzy PID controller coordinated with TCSC has been investigated. Finally the proposed approach is investigated under randomly load.
ISSN:2314-7172
2314-7172
DOI:10.1016/j.jesit.2016.12.003