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Software development of optimal substation ground grid design based on genetic algorithm and pattern search | IEEE Conference Publication | IEEE Xplore

Software development of optimal substation ground grid design based on genetic algorithm and pattern search


Abstract:

Substation ground system serves to safety of personnel and as major equipment during earth faults, which deserves considerable attentions. Basic substation safety assessm...Show More

Abstract:

Substation ground system serves to safety of personnel and as major equipment during earth faults, which deserves considerable attentions. Basic substation safety assessment quantities include ground grid resistance, mesh touch potential and step potential, moreover, optimal design of substation ground system should consider both safeness and cost. To fill the lack of such suitable and economical optimal design software in North American industry, a software package coded in MATLAB is developed and its core algorithm and main features are introduced in this paper. A novel hybrid GA-PS optimization or two-steps optimization method is developed, in which Genetic Algorithm (GA) is used firstly to search an approximate start point range for the further optimal searching, followed by Pattern Search (PS) to find the final optimal result. This software can give analysis of ground grid safety performance and is able to recommend optimal grid design for given safety constraints. In order to make sure the accuracy of this software, the results of grid safety assessment obtained here are also compared with the results calculated by using worldwide used software WinIGS.
Date of Conference: 07-09 September 2014
Date Added to IEEE Xplore: 24 November 2014
Electronic ISBN:978-1-4799-5904-4
Conference Location: Pullman, WA, USA
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I. Introduction

Substation ground system serves to safety of personnel and as major equipment during earth faults, which has already deserved a long history considerable attentions [1]–[18]. As defined in IEEE Std. 80–2000 [19], basic substation safety assessment quantities including ground grid resistance, mesh touch potential, step potential and ground potential rise (GPR), should be limited as constraints in design for the sake of safety. Previous optimal ground design only used numerical calculation or “trail-and-error” [9]–[13], then different optimization modeling with corresponding optimization methods had been studied to count both safeness and cost [14]–[18]. Several commercial software [20]–[22] or self-developed software had also been developed [23].

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