考虑机组重要度和负荷停电损失的网架重构分层协调优化

Hierarchical Coordinative Optimization for Network Reconfiguration Considering Unit Importance and the Load Outage Loss

电力系统大停电后,重要负荷的损失状况会随时间的推移而逐步增大,成为系统恢复的重点关注问题。研究了网架重构阶段机组与重要负荷协调恢复的优化方法,以热启动机组的总容量和恢复过程中的总负荷损失分别作为上、下层目标函数,建立了双层优化模型;引入灰关联模型对机组综合重要度进行评估,采用基于状态优选的多层编码遗传算法进行求解,获得各机组热启动总容量;结合网络计划技术,对各节点重要负荷的恢复时间进行计算,评估不同方案的负荷损失情况,获取机组与重要负荷协调恢复的最优方案。新英格兰10机39节点系统的算例结果验证了本文方法的有效性。

The outage loss of important loads may increase as time passes after a major blackout in power system,which has an adverse effect on system restoration. In this context,coordinative restoration optimization of units and load in the process of network reconfiguration is analyzed in this paper. A bi-level optimization model is established,taking the total capacity of the hot-started units and the total outage loss of loads in the restoration process as the upper-level and the lower-level objective functions respectively. The grey correlation model is used to evaluate the importance of units,and multi-layer coded genetic algorithm based on state optimization is applied to obtain the total capacity of the hot-started units. By applying network planning technology,the restoration time of important load in every node is calculated,and the loss evaluation of different schemes is carried out. Then the optimized scheme of coordinative restoration of unit and important load is obtained. The effectiveness of the proposed method is verified by the optimization results on New England 10-unit 39-node power system.