2018 Twentieth International Middle East Power Systems Conference (MEPCON) 2018
DOI: 10.1109/mepcon.2018.8635109
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Optimum Design of Substation Grounding Grid Based on Grid Balancing Parameters Using Genetic Algorithm

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Cited by 4 publications
(4 citation statements)
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“…where ρ is the soil resistivity in [Ω.m], ε is the permittivity of soil in [F/m], and R is the ground resistance calculated using (1).…”
Section: Modeling Methods Of Grounding Systemsmentioning
confidence: 99%
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“…where ρ is the soil resistivity in [Ω.m], ε is the permittivity of soil in [F/m], and R is the ground resistance calculated using (1).…”
Section: Modeling Methods Of Grounding Systemsmentioning
confidence: 99%
“…where R, C, and L are obtained by (1) to (3) in the circuit model approach, r' is the electrical resistance of the per-unit length electrode (in Ω), ρc is the electrical resistivity of the electrode (in Ω.m), and a is the electrode radius (in metre). TL models are regarded as the least accurate among all four models.…”
Section: Modeling Methods Of Grounding Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, it cannot be easily solved using traditional mathematical methods. In contrast, intelligent optimization algorithms such as the genetic algorithm (GA) [27,28] and particle swarm optimization (PSO) [29] are more flexible in application and have stronger global search ability, but their solving speed is slow, which cannot meet the requirements of the automatic generation control (AGC) online control of large-scale regional power grids. Therefore, in this paper, we propose the use of the dingo optimization algorithm (DOA) to solve the problem [30].…”
Section: Introductionmentioning
confidence: 99%