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Grounding grid design in electrical power substation using optimization methods

机译:使用优化方法在电力变电站接地网格设计

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A good substation grounding grid is essential to ensure safety of personnel working in the substation, and also to protect the equipment to ensure continuous operation of the substation. The design of the substation grounding grid is often carried out to meet the IEEE Std 80-2000 requirements of grounding resistance, touch voltage and step voltage at an economical cost. However, the conventional grounding grid design is normally over calculated to meets these IEEE requirements without considering the total cost. The grounding grid is often costly to implement due to high number of grounding conductors and rods, and large area size of the interconnected bare conductors. In this study, Gravitational Search Algorithm (GSA) and Particle Swarm Algorithm (PSO) are proposed to achieve an effective grounding grid calculation. The reliability of these algorithms has been validated using a typical medium voltage substation grounding grid parameters. It was found both that GSA and PSO were capable to achieve a lower cost with of grounding grid with 29% cost saving as compared to the conventional calculation technique, without compromising the safety requirements of grounding grid.
机译:良好的变电站接地网格对于确保在变电站工作的人员安全,以及保护设备以确保变电站的连续运行。通常进行变电站接地网格的设计,以满足接地电阻,触摸电压和阶跃电压的IEEE STD 80-2000的要求。然而,通常计算传统的接地网格设计以满足这些IEEE要求而不考虑总成本。由于大量接地导体和杆,并且互连的裸导体的大面积尺寸,接地网格通常昂贵。在本研究中,提出了引力搜索算法(GSA)和粒子群算法(PSO)以实现有效的接地网格计算。使用典型的介质电压变电站接地网格参数验证了这些算法的可靠性。发现GSA和PSO能够实现与传统计算技术相比具有29%成本节省的接地网格的较低成本,而不会影响接地网格的安全要求。

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