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首页> 外文期刊>Research journal of applied science, engineering and technology >An Optimal Design of Substation Grounding Grid Considering Economic Aspects Using Particle Swarm Optimization
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An Optimal Design of Substation Grounding Grid Considering Economic Aspects Using Particle Swarm Optimization

机译:基于粒子群算法的考虑经济因素的变电站接地网优化设计

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摘要

Design of a safety grounding system is an important part of substation design in power systems. An appropriate designed grounding system ensures the adequate safety for people and protects the installation. Also, due to increasing the electrical equipment price and cost of land, the implementation of grounding system is faced with restrictions. Therefore, the design of optimal substation grounding grid considering the practical limits such as economic aspects is one of the important problem in system designing. This study presents to design an optimal grounding grid considering the economic aspects of designing. In this study, the number and diameters of conductors and rods which can carry the fault current, space between conductors for having the safety factors, the depth of burring the grounding system and investment cost are considered as parameters which affected on total cost of grounding system. Also to conducting the simulation to finding the best parameters of grounding grid to be optimum in all aspects, the Particle Swarm Optimization (PSO) algorithm is employed. Finally, the PSO is applied to a typical grounding system in two different scenarios and the results are compared to each other.
机译:安全接地系统的设计是电力系统变电站设计的重要组成部分。适当设计的接地系统可确保人员安全并保护安装。另外,由于电气设备价格和土地成本的增加,接地系统的实施面临限制。因此,考虑经济等实际限制的变电站最佳接地网的设计是系统设计中的重要问题之一。考虑到设计的经济性,本研究提出了设计最佳的接地网。在这项研究中,可以承载故障电流的导体和棒的数量和直径,具有安全系数的导体之间的间距,接地系统的毛刺深度和投资成本被视为会影响接地系统总成本的参数。为了进行仿真以找到在各个方面都最佳的最佳接地网参数,还采用了粒子群优化(PSO)算法。最后,在两种不同的情况下将PSO应用于典型的接地系统,并将结果进行比较。

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