多源协同的配电网多时段负荷恢复优化决策方法

当极端灾害引起大停电事故时,可协同多种电源和储能快速恢复重要负荷,提升配电网韧性。首先探讨多源协同故障恢复对配电网韧性的提升作用,然后以最大化负荷的加权供电时间及最小化总网损为目标,以各时段负荷状态、电源输出功率及线路投运状态为优化变量,考虑有限能量约束、运行约束和拓扑约束等,将多源协同的配电网多时段负荷恢复问题建模并松弛为混合整数二阶锥规划模型,并利用商业优化软件求解,得到最优恢复策略。最后,通过改进IEEE 13节点和IEEE 123节点配电系统标准算例和仿真验证了所提方法的有效性和优越性。

Optimal Decision-making Method for Multi-period Load Restoration in Distribution Network with Coordination of Multiple Sources

When an extreme disaster causes a blackout, multiple power sources could be coordinated with energy storage to restore critical loads, which is able to enhance the resilience of distribution network. Firstly, the role of multiple coordinated sources for service restoration in enhancing the resilience of distribution network is introduced. Secondly, the multi-period load restoration problem is formulated and relaxed as a mixed integer second-order cone program, with the goal of maximizing the weighted power supply time of the load and minimizing the total power loss. The load state, output power and commissioning state of power lines in each period are taken as optimized variables, and finite energy constraints, operational constraints and topological constraints are considered. The proposed model could be efficiently solved by commercial solvers and then the optimal recovery strategy is obtained. Finally,based on standard cases of the modified IEEE 13-bus and IEEE 123-bus test distribution systems, the simulation results show that the proposed method is effective and superior.