考虑网络成本和灵活区域分解的变电站规划

Substation Planning Considering Network Cost and Flexible Region Decomposition

针对具有不同电压水平的大规模变电站的应用规划,本文提出了优化变电站的位置,大小和供电区域的规划算法,提出将整个规划区域划分为具有不确定区域的小区域,以便可以分别优化每个区域。然后,在考虑了变电站的成本以及网络的成本的同时,基于k-means算法寻求找到将成本函数最小化的集群。最后案例研究分析表明本方法能很好的降低变电站规划的成本。

Aiming at the application planning of large-scale substations with different voltage levels, this paper proposes planning algorithm to optimize the location, size and power supply area of substations.The whole planning area is divided into small areas with uncertain areas so that each area can be optimized separately.Then, considering the cost of substation and the cost of network, the k-means algorithm is used to find the cluster that minimizes the cost function.Finally, the case study shows that this method can well reduce the cost of substation planning.