基于广义最小生成树的多微网源荷储恢复顺序优化策略

Optimization Strategy of Microsource-Load-Storage Recovery Sequence for Multi-microgrids Based on Generalized Minimum Spanning Tree

随着区域内微网接入数量的增加,逐渐形成不同相序结构的多微网系统,制定合理可靠的源荷储恢复策略对其快速恢复具有重要意义。针对新兴的单相与三相拓扑结构的混联多微网,提出一种考虑其三相不平衡度约束及稳定运行裕度需求的单相/三相多微网源荷储恢复顺序优化策略。提出多微网运行裕度和稳定裕度的概念,将源荷储恢复事件抽象为连通无向图的顶点,采用基于Prim思想的改进广义最小生成树方法进行源荷储恢复顺序优化,并提出考虑簇间权值最小的顶点簇形成方法。经仿真验证,所提策略有效可靠。

With an increase of microgrids in a certain area, multi-microgrids （MMGs） systems with different sequence structures are gradually formed. Hence the significance of developing a rational and reliable microsource-load-storage restoration strategy is important. In view of the emerging hybrid MMGs with a single-phase/three-phase architecture, a microsource-load-storage recovery sequence optimization method is proposed with the three-phase unbalance constraint and the stability margin of MMGs taken into account. Firstly, the operation margin and stability margin of MMGs are put forward to determine the restoration sequence of the microsources, loads and energy storage systems. The concepts of operation margin and stability margin of MMGs are put forward, and the microsource-load storage restoration events are abstracted as the vertices of the connected undirected graph. Then, the optimum microsource-load-storage restoration sequence is found through the generalized minimum spanning tree algorithm based on the improved Prim algorithm. Finally, the flow chart of vertex cluster formation considering the minimum weight between clusters is proposed. Simulation results are presented to verify the effectiveness and feasibility of the proposed strategy.