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A heuristic algorithm for optimal multistage sizing, siting and timing of MV distribution substations

机译：中压配电变电站多级选型，选址和计时的启发式算法

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摘要

The electric power distribution system planning is a large-scale, complex and multi-constraint problem. Optimal distribution substation placement is one of the major components of optimal distribution system planning projects. This paper proposes the application of an Imperialist Competitive Algorithm (ICA) for the optimal expansion planning of large distribution network, solving the optimal sizing, siting and timing of medium voltage substation. Loss characteristic matrix is introduced as a new concept in optimal substation placement problem. A step by step expansion design and planning is proposed to consider dynamic behavior of the load forecasting, asset management and geographical constraints. In order to reach the global solution, an effective coding for the ICA parameter is developed. The value of loads' density in every site is determined by mid and long-term load forecasting program. The results show the efficiency and capability of the proposed method which has been tested on a real size distribution network.
机译：配电系统规划是一个大规模，复杂和多约束的问题。最优配电变电站布置是最优配电系统规划项目的主要组成部分之一。本文提出将帝国主义竞争算法（ICA）用于大型配电网的最佳扩展规划，解决中压变电站的最佳规模，选址和时间安排。损耗特性矩阵作为变电站优化布置问题的新概念引入。提出了逐步扩展设计和计划，以考虑负荷预测，资产管理和地理约束的动态行为。为了达到全局解决方案，开发了ICA参数的有效编码。每个站点的负荷密度值由中长期负荷预测程序确定。结果表明，该方法的有效性和有效性已在实际规模的配电网络上进行了测试。

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