基于复杂网络拓扑判别的主动配电网重构优化

Active distribution network reconfiguration optimization based on complex network topology identification

配电网拓扑结构约束和重构求解方法是主动配电网重构技术的主要技术难点。针对拓扑结构约束,结合图论与辐射状拓扑条件,提出一种主动配电网复杂网络拓扑判别方法。此方法基于开关状态,通过广度优先搜索法检测复杂配电网子图,再依据辐射状拓扑条件判断子图结构,进而描述出复杂网络的结构形式。在重构求解方法方面,则基于拓扑判别方法获取的分层结构信息,通过利用参数向量的递推关系,避免了迭代过程中的复杂矩阵求逆,实现配电网潮流的快速解耦。同时,采用粒子群优化算法进行解空间寻优,实现主动配电网的重构优化。最后,通过测试系统仿真,验证该方法的有效性。

The distribution system topology constraint and reconstruction solution method are the main technical of active distribution system reconstruction(DSR)technology is difficultied.Aiming at the topological constraints,proposes a complex network topology identification technology is proposed for active distribution network(ADN)based on graph theory and radial topological conditions.Based on the switch state,the technology detects the complex distribution system subgraph by breadth-first search method,and then judges the subgraph structure according to the radial topology condition,and then describes the structure form of the complex network.In the reconstruction method,the obtained hierarchical structure information based on the topological identification method avoids the complex matrix inversion in the iterative process by using the recursive relationship of the parameter vector,and realizes the rapid decoupling of the distribution system power flow.At the same time,the particle swarm optimization(PSO)algorithm is used to solve the space optimization to realize the reconstruction optimization of ADN.Finally,the effectiveness of the proposed method is verified by test system simulation.