OPTIMIZATION OF SPACERS PLACEMENT IN METAL OXIDE SURGE ARRESTERS DUE TO THE THERMAL STABILITY INCREMENT USING GENETIC ALGORITHM

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SEYEDBARZEGAR SEYED MEYSAM; MIRZAIE MOHAMMAD

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Paper Information

Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2015 | Volume:5 | Issue:4 Page(s): 63-70

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Title

OPTIMIZATION OF SPACERS PLACEMENT IN METAL OXIDE SURGE ARRESTERS DUE TO THE THERMAL STABILITY INCREMENT USING GENETIC ALGORITHM

Author(s)

SEYEDBARZEGAR SEYED MEYSAM | MIRZAIE MOHAMMAD | Issue Writer Certificate

Keywords

SPACERQ2

SURGE ARRESTERQ2

THERMAL STABILITYQ2

GENETIC ALGORITHMQ2

Abstract

in this paper the optimal placement of SPACERs in SURGE ARRESTER column is presented in order to achieve temperature reduction and SURGE ARRESTER THERMAL STABILITY against power losses due to the overvoltage in power system. The simulation is done by using GENETIC ALGORITHM in MATLAB software that it is linked by numerical analysis, i.e., Finite Element Method (FEM). First, electro thermal analysis is performed according to the IEC60099-4 standard on selected population in certain interval and, then the required data is applied to the GENETIC ALGORITHM for the optimal placement of SPACERs. Simulation results show that the placement of SPACERs has great influence on SURGE ARRESTER temperature variations. Finally, the optimal model of SURGE ARRESTER is simulated in COMSOL software and the results of this model are compared with conventional model results.

Cites

OPTIMIZATION OF IMAGE FUSION USING GRAVITATIONAL SEARCH ALGORITHM

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APA: Copy

SEYEDBARZEGAR, SEYED MEYSAM, & MIRZAIE, MOHAMMAD. (2015). OPTIMIZATION OF SPACERS PLACEMENT IN METAL OXIDE SURGE ARRESTERS DUE TO THE THERMAL STABILITY INCREMENT USING GENETIC ALGORITHM. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 5(4), 63-70. SID. https://sid.ir/paper/203113/en

Vancouver: Copy

SEYEDBARZEGAR SEYED MEYSAM, MIRZAIE MOHAMMAD. OPTIMIZATION OF SPACERS PLACEMENT IN METAL OXIDE SURGE ARRESTERS DUE TO THE THERMAL STABILITY INCREMENT USING GENETIC ALGORITHM. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2015;5(4):63-70. Available from: https://sid.ir/paper/203113/en

IEEE: Copy

SEYED MEYSAM SEYEDBARZEGAR, and MOHAMMAD MIRZAIE, “OPTIMIZATION OF SPACERS PLACEMENT IN METAL OXIDE SURGE ARRESTERS DUE TO THE THERMAL STABILITY INCREMENT USING GENETIC ALGORITHM,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 5, no. 4, pp. 63–70, 2015, [Online]. Available: https://sid.ir/paper/203113/en

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