聚类网架拓扑与源荷关联场景生成下配电网分布式电源规划方法

面对多样化的配电网拓扑结构，为了对分布式电源规划激励措施的成本进行快速有效估算，提出了一种基于聚类网架拓扑的配电网分布式电源规划方法。同时，在规划阶段充分考虑分布式电源与负荷的相关性，提出了基于Copula理论的源荷关联场景规划方法。通过SimRank++算法计算不同馈线拓扑结构间的相似度，由层次聚类算法获取配电网的不同馈线集群，将集群中心作为典型网架的拓扑结构。针对每一种典型网架的拓扑结构，以经济性为目标建立分布式电源的规划模型，并采用模拟退火粒子群优化算法对模型求解。基于实际城市配电网进行算例分析，分析结果表明所提方法能够灵活地指导分布式电源规划，从而为可再生能源和配电网的战略规划提供参考。

Distributed generator planning method in distribution network based on clustering network topology and source-load correlation scenarios

Under the diversified distribution network topology structure, a distributed generator planning method in distribution network based on clustering network topology is proposed, which could estimate the cost of incentives for distributed generator planning quickly and effectively. Meanwhile, the correlation between load and distributed generator is fully considered in the planning stage, and the source-load correlation scenario planning method based on Copula theory is proposed. Firstly, by using SimRank++ algorithm to calculate the similarity between different feeder topologies, the hierarchical clustering algorithm is used to obtain different feeder clusters of distribution network, and the cluster centers are taken as typical network topologies. According to each typical network topology, a distributed generator planning model is established with the goal of economy, and the model is optimized by simulated annealing particle swarm optimization algorithm. The analysis of the actual urban distribution network shows that the method can guide the planning of distributed generator flexibly under the diversified network, which could provide a reference basis for the strategic planning of renewable energy sources and distribution network.