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Application of evolutionary algorithms for the planning of urban distribution networks of medium voltage

机译:进化算法在中压城市配电网规划中的应用

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Currently, an important issue in power distribution is the need to optimize medium voltage (MV) networks serving urban areas. This paper shows how an evolutionary algorithm can be used as the basis for the type of efficient algorithm such optimization demands. The search for optimal network solution will be restricted to a graph defined from the urban map, so each graph branch represents a trench. The solution space (networks) is assumed with "loop feeder circuits": networks with two electrical paths from the high voltage/medium voltage (HV/MV) substations to the customers. In the optimization process, the investment and loss load costs are considered taking into account the constraints of conductor capacities and voltage drop. The investment costs will take into account that some cables can be lying in the same trench. The process was applied for a Spanish city of 200,000 inhabitants.
机译:当前,配电中的重要问题是需要优化服务于市区的中压(MV)网络。本文展示了如何将进化算法用作诸如优化需求之类的高效算法的基础。对最佳网络解决方案的搜索将限于城市地图中定义的图形,因此每个图形分支都代表一个沟槽。解决方案空间(网络)是通过“环路馈线电路”假定的:从高压/中压(HV / MV)变电站到客户的两条电气路径的网络。在优化过程中,考虑到导体容量和电压降的限制,要考虑投资和损失负载成本。投资成本将考虑到某些电缆可以位于同一沟槽中。该过程已应用于拥有20万居民的西班牙城市。

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