Investigation and Optimization of Grounding Grid Based on Lightning Response by Using ATP-EMTP and Genetic Algorithm

Author:

Gholami Farkoush Saeid1,Khurshaid Tahir1,Wadood Abdul1,Kim Chang-Hwan1,Kharal Kumail Hassan1,Kim Kyu-Ho2,Cho Namhun3,Rhee Sang-Bong1ORCID

Affiliation:

1. Department of Electrical Engineering, Yeungnam University, Gyeongsan, Republic of Korea

2. Department of Electrical Engineering, Hankyong National University, 327 Chungang-ro, Anseong-si, Kyonggi-do 17579, Republic of Korea

3. Korea Electric Power Research Institute (KEPRI), Korea Electric Power Company (KEPCO), 105 MunjiRo, Yuseong-gu, Daejeon 34056, Republic of Korea

Abstract

A large number of electromagnetic transient studies have been analyzed for finding the overvoltage behavior of power system. A grounding grid of power system is so important for reducing the effect of overvoltage phenomena during a short-circuit event. Two sections are important in grounding system behavior: soil ionization and inductive behavior; this paper focuses on the inductive manner of grounding grid. The grounding grid is considered as a conductor segment; each conductor segment acts as a grounding unit. In this paper, the transient methodology is introduced to investigate the lightning effect on grounding body at each point of grounding grid in normal and optimized conditions. Genetic algorithm is applied for regular and irregular grounding grid to obtain best values of mesh size with the lower ground potential rise (GPR) as compared with the normal condition for more safety. The grounding grid is a combination of inductance, resistance, and capacitance. This model is suitable for practical applications related to fault diagnosis. Several voltages on different positions of grounding grid are described in this paper using ATP-EMTP and genetic algorithm. The computer simulation shows that the proposed scheme is highly feasible and technically attractive.

Funder

Korea Electric Power Corporation

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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