DocumentCode
1595130
Title
Optimization Design of Substation Grounding Grid Based on Genetic Algorithm
Author
He, Zhiqiang ; Wen, Xishan ; Wang, Jianwu
Author_Institution
Wuhan Univ., Wuhan
Volume
4
fYear
2007
Firstpage
140
Lastpage
144
Abstract
With the incessant increase of power system capacity and voltage grade, the safety of grounding grid becomes more and more prominent. How better uniform the surface potential distribution of grounding grid; how to ensure the safety of equipment and personal has become one of the most important topics of grounding researchers who has been working hard to resolve the problem. Based on the electromagnetic field(EMF) and circuit combining theoretical, the paper studies the numerical calculation of grounding grid parameters, and make use of genetic algorithm studies optimization design of the grounding grid, under the condition of that the most touch potential of grounding grid is less than IEEE guide provision value to optimize grounding grid design. Due to genetic algorithm aim to operate coding set of the problem variables, thus maintain a good integrity of variable. Calculation shows that the calculation method is feasible and obtain optimal results which is not subject to hierarchical structure of soil.
Keywords
genetic algorithms; substations; electromagnetic field; genetic algorithm; optimization design; power system capacity; substation grounding grid; Algorithm design and analysis; Circuits; Design optimization; Genetic algorithms; Grounding; Power systems; Safety devices; Soil; Substations; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2875-5
Type
conf
DOI
10.1109/ICNC.2007.523
Filename
4344658
Link To Document