计及不确定性因素的多目标网架重构策略优化

Multi-objective network reconfiguration strategy for power systems considering uncertainties

在电力系统恢复过程中,一些与线路有关的不确定性因素如由外界环境或操作问题等引起的线路投入失败对网络重构过程和结果具有重要影响。在此背景下,首先将线路的不确定性因素引入网络重构问题之中,并借助风险管理的思想考虑了网架重构策略的风险,在此基础上建立了以最大化所恢复的发电节点数目、最小化恢复路径的充电电容和最小化重构策略的风险为目标的多目标网络重构模型。之后,采用场景分析方法将不确定性问题转化为多个确定性问题,并应用差分进化算法和Dijkstra算法求解。最后,以新英格兰10机39节点系统为例说明了所发展的模型和算法的基本特征。

In the network reconfiguration process, some uncertainties associated with transmission lines, such as external environments and operating issues, may cause connecting failures of the transmission lines with the power system concerned, and hence have important impacts on the process as well as the result of the network reconfiguration. Given this background, the uncertainties associated with transmission lines are considered in a multi-objective optimization framework developed for the network reconfiguration problem. Risks caused by the uncertainties associated with the transmission lines are taken into account in the developed framework. Three objectives are included in the developed network reeonfiguration model, namely maximizing the total number of the restored generation nodes, minimizing the total capacitance of the path and minimizing the risks associated. Then, the well-established scenario-based method is used to solve the multi-objective optimization model, and the differential evolution algorithm and Dijkstra algorithm are employed to find the optimal strategies. Finally, the New England 10-unit 39-bus power system is served for demonstrating the essential features of the proposed method.