Optimal Design of Grounding Grids Based on Genetic Algorithm

Yang, Yimin; Peng, Minfang; Huang, Hong; Yuan, Yuehua

doi:10.1109/wgec.2009.58

Cited by 12 publications

(2 citation statements)

References 12 publications

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“…Yang et al [12] improved the design accuracy of the traditional model by optimizing the design model based on the energy balance between the work done by the hanger load and the spring deformation energy. Leng et al [13] optimized the mathematical model of constant force spring hangers using a genetic algorithm. Shen et al [14] studied the impact of rolling friction coefficient, spring stiffness deviation, and precompression deviation on the performance of the primary-secondary constant force spring hanger.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis and research on influencing factors of connecting-rod constant spring hangers load performance

li,

wu,

sun

et al. 2024

Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023)

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Constant spring hanger is an important part of the pipeline system, and its performance directly affects the safe operation of the pipeline. In order to explore the influencing factors of constant spring hanger load performance, using the mechanical model of constant spring hanger, this paper analyzed the effects of the two major factors, namely system friction and spring stiffness deviation, on its load performance quantitatively. The results prove that constant spring hanger invariance is mainly related to friction, whereas spring stiffness deviation just affects load deviation. On this basis, two indicators of friction factor  and elastic factor  are proposed to measure the effects of friction and spring stiffness deviation on the constant spring hanger performance respectively. This study is helpful for the manufacturing and optimization of constant spring hangers. Meanwhile, it also contributes to the design and optimization of pressure pipelines. All these results have referential value on the root cause analysis for the abnormal expansion of high-parameter pipelines.

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Section: Introductionmentioning

confidence: 99%

Quantitative analysis and research on influencing factors of connecting-rod constant spring hangers load performance

li,

wu,

sun

et al. 2024

Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023)

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“…Genetic algorithms are commonly used for solving optimization problems, for example, minimizing the total cost of grounding [24], optimizing the design of grounding grids [25], [26], analyzing soil structure [27] and limiting GPR in two-layer soil structures [28].…”

Section: Introductionmentioning

confidence: 99%

Reducing the Effect of Lightning on Step and Touch Voltages in a Grounding Grid Using a Nature-Inspired Genetic Algorithm With ATP-EMTP

et al. 2019

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This paper discusses the step and touch voltages, based on body resistance, in a grounding grid after a lightning strike at a 434-/21-kV substation. To ensure grounding grid safety, the maximum step and touch voltage should not exceed the safety criteria defined by the IEEE Std. 80. In this paper, ATP-EMTP and a genetic algorithm are used to analyze and optimize the step and touch voltages in a power grid. The voltages are calculated under normal conditions of a lightning strike at a power system. Thevenin's theorem is applied to calculate the step and touch voltages. The genetic algorithm is applied in ATP-EMTP to obtain the minimum level of step and touch voltages in the grounding grid after lightning strikes the power system. The step and touch voltages at different positions of the grounding grid are explained in this paper using the ATP-EMTP and the genetic algorithm. The computer simulation shows that the proposed scheme is highly feasible and technically attractive.INDEX TERMS Safety assessment, touch voltage, step voltage, genetic algorithm, ATP-EMTP.

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Optimum pattern of grounding grid by using closed-form solution based on optimized results

El-Refaie,

Abd Elrahman,

Mohamed

et al. 2023

Electr Eng

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Finding the optimum conductor’s pattern for unequally spaced grounding grids can be achieved by using empirical formulas or optimization techniques. Empirical formulas give an approximate solution depending on human experience and never cover the entire search space. On the other hand, the optimization techniques generally require a significant effort and time. To overcome the previous issues, this paper presents a closed-form solution based on optimized results. The main motivation behind this formula is the comprehensive study carried out by the authors to find optimum location of grounding grid conductors over different areas. In that work, particle swarm optimization technique (PSO) has been adapted with combined integration matrix method (CIMM) to facilitate the study. In this paper, the results obtained previously were summarized in the proposed formula. The proposed formula gives the optimum design of unequally grounding grids by specifying the conductor’s locations as percentage of the side length for square and rectangular shapes. As long as the side length and the number of conductors are given, the location of each conductor as a percentage of the side length can be obtained. The effect of adding driven rods and the stratified soil conditions on the results of the optimized design were investigated. The validity of the proposed closed-form solution was verified experimentally.

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Optimal Design of Grounding Grids Based on Genetic Algorithm

Cited by 12 publications

References 12 publications

Quantitative analysis and research on influencing factors of connecting-rod constant spring hangers load performance

Quantitative analysis and research on influencing factors of connecting-rod constant spring hangers load performance

Reducing the Effect of Lightning on Step and Touch Voltages in a Grounding Grid Using a Nature-Inspired Genetic Algorithm With ATP-EMTP

Optimum pattern of grounding grid by using closed-form solution based on optimized results

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