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

Content Provider	IEEE Xplore Digital Library
Author	Qianzhi Zhang Xuan Wu
Copyright Year	2014
Description	Author affiliation: Station Design Stand., American Electr. Power, Gahanna, OH, USA (Xuan Wu) \|\| Sch. of Electr. Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA (Qianzhi Zhang)
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.
Starting Page	1
Ending Page	6
File Size	581956
Page Count	6
File Format	PDF
ISBN	9781479959044
DOI	10.1109/NAPS.2014.6965440
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Genetic algorithms Software Safety Optimization Resistance Soil Pattern Search Ground Grid Design Safety Assessment Cost of Ground Grid Construction Two-steps Optimization Method Genetic Algorithm
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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