Design of a Fractional Order Frequency PID Controller for an Islanded Microgrid: A Multi-Objective Extremal Optimization Method
Huan Wang,
Guoqiang Zeng,
Yuxing Dai,
Daqiang Bi,
Jingliao Sun and
Xiaoqing Xie
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Huan Wang: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Guoqiang Zeng: National-Local Joint Engineering Laboratory of Digitalize Electrical Design Technology, Wenzhou University, Wenzhou 325035, China
Yuxing Dai: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Daqiang Bi: State Key Laboratory of Power Systems and Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Jingliao Sun: State Grid Wenzhou Electric Power Supply Company, Wenzhou 325000, China
Xiaoqing Xie: National-Local Joint Engineering Laboratory of Digitalize Electrical Design Technology, Wenzhou University, Wenzhou 325035, China
Energies, 2017, vol. 10, issue 10, 1-18
Abstract:
Fractional order proportional-integral-derivative(FOPID) controllers have attracted increasing attentions recently due to their better control performance than the traditional integer-order proportional-integral-derivative (PID) controllers. However, there are only few studies concerning the fractional order control of microgrids based on evolutionary algorithms. From the perspective of multi-objective optimization, this paper presents an effective FOPID based frequency controller design method called MOEO-FOPID for an islanded microgrid by using a Multi-objective extremal optimization (MOEO) algorithm to minimize frequency deviation and controller output signal simultaneously in order to improve finally the efficient operation of distributed generations and energy storage devices. Its superiority to nondominated sorting genetic algorithm-II (NSGA-II) based FOPID/PID controllers and other recently reported single-objective evolutionary algorithms such as Kriging-based surrogate modeling and real-coded population extremal optimization-based FOPID controllers is demonstrated by the simulation studies on a typical islanded microgrid in terms of the control performance including frequency deviation, deficit grid power, controller output signal and robustness.
Keywords: microgrid; fractional order controller; frequency control; multi-objective optimization; extremal optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (16)
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