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NSGA-II based optimal control scheme of wind thermal power system for improvement of frequency regulation characteristics

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This work presents a methodology to optimize the controller parameters of doubly fed induction generator modeled for frequency regulation in interconnected two-area wind power integrated thermal power system. The gains of integral controller of automatic generation control loop and the proportional and derivative controllers of doubly fed induction generator inertial control loop are optimized in a coordinated manner by employing the multi-objective non-dominated sorting genetic algorithm-II. To reduce the numbers of optimization parameters, a sensitivity analysis is done to determine that the above mentioned three controller parameters are the most sensitive among the rest others. Non-dominated sorting genetic algorithm-II has depicted better efficiency of optimization compared to the linear programming, genetic algorithm, particle swarm optimization,and cuckoo search algorithm. The performance of the designed optimal controller exhibits robust performance even with the variation in penetration levels of wind energy, disturbances,parameter and operating conditions in the system

KEYWORDS
Doubly fed induction generator;Frequency regulation;AGC;Wind energy conversion systems;Non-dominated sorting genetic algorithm-II

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Informasi Detail

Judul Seri

Ain Shams Engineering Journal

No. Panggil

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Penerbit

: Elsevier., 2015

Deskripsi Fisik

Ain Shams Engineering Journal (2015) 6, 851–863

Bahasa

English

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

KIMIA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Wati/Agus

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