ROBUST ONLINE FUZZY PID DESIGN BASED ON IMPROVED DIFFERENTIAL EVOLUTION FOR ISLANDED MICRO GRID FREQUENCY CONTROL CONSIDERING NONLINEAR FACTORS AND UNCERTAINTIES

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SHAYEGHI H.; ARYANPOUR H.

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Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2016 | Volume:46 | Issue:3 (77) Page(s): 241-256

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Information Journal Paper

Title

ROBUST ONLINE FUZZY PID DESIGN BASED ON IMPROVED DIFFERENTIAL EVOLUTION FOR ISLANDED MICRO GRID FREQUENCY CONTROL CONSIDERING NONLINEAR FACTORS AND UNCERTAINTIES

Author(s)

SHAYEGHI H. | ARYANPOUR H. | Issue Writer Certificate

Keywords

MICRO GRIDQ1

FREQUENCY CONTROLQ2

IMPROVED DIFFERENTIAL EVOLUTION ALGORITHMQ2

ONLINE FUZZY PID CONTROLLERQ2

Abstract

In this paper, a robust fuzzy PID controller which is called online fuzzy PID (OFPID), for FREQUENCY CONTROL of an islanded MICRO GRID is proposed. The proposed controller strategy is such that the fuzzy PID coefficients are automatically adjusted by fuzzy set theory at each time. To improve the performance of the proposed controller, the proposed improved differential evolution (IDE) algorithm which has suitable convergence speed in nonlinear functions optimization is used to optimal tune of its parameters including coefficients, membership functions, fuzzy rules weight and rules in three stages. To robust controller design in different operation points, the OFPID controller parameters is optimized by considering the uncertainties on some MICRO GRID component parameters. The motivation for the proposed this control strategy is combination of fuzzy theory feature and IDE optimization algorithm to reduce control efforts and find better fuzzy system to achieve robust performance of MICRO GRID FREQUENCY CONTROL. The test MICRO GRID, is composed of distributed generation units such as diesel generators, photovoltaic, fuel cells with electrolyzer and wind turbine, as well as energy storage units such as flywheel and battery. In order to get closer to the frequency response of real MICRO GRID, nonlinear factors on the distributed generation and energy storage sources have been considered. Simulation results by applying different disturbances show the good performance of the proposed OFPID controller than the optimized PID and classical fuzzy PID controllers.

Cites

TRANSMISSION EXPANSION PLANNING IN A DEREGULATED POWER SYSTEM USING MULTI OBJECTIVE DIFFERENTIAL EVOLUTION ALGORITHM

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APA: Copy

SHAYEGHI, H., & ARYANPOUR, H.. (2016). ROBUST ONLINE FUZZY PID DESIGN BASED ON IMPROVED DIFFERENTIAL EVOLUTION FOR ISLANDED MICRO GRID FREQUENCY CONTROL CONSIDERING NONLINEAR FACTORS AND UNCERTAINTIES. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 46(3 (77)), 241-256. SID. https://sid.ir/paper/256466/en

Vancouver: Copy

SHAYEGHI H., ARYANPOUR H.. ROBUST ONLINE FUZZY PID DESIGN BASED ON IMPROVED DIFFERENTIAL EVOLUTION FOR ISLANDED MICRO GRID FREQUENCY CONTROL CONSIDERING NONLINEAR FACTORS AND UNCERTAINTIES. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2016;46(3 (77)):241-256. Available from: https://sid.ir/paper/256466/en

IEEE: Copy

H. SHAYEGHI, and H. ARYANPOUR, “ROBUST ONLINE FUZZY PID DESIGN BASED ON IMPROVED DIFFERENTIAL EVOLUTION FOR ISLANDED MICRO GRID FREQUENCY CONTROL CONSIDERING NONLINEAR FACTORS AND UNCERTAINTIES,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 46, no. 3 (77), pp. 241–256, 2016, [Online]. Available: https://sid.ir/paper/256466/en

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