计及冷负荷效应时变特性的含风储联合系统负荷恢复策略

随着风电大规模接入电力系统，风电与储能结合构成的风储联合系统成为提高风电消纳能力的重要措施之一。在电力系统恢复阶段，如何构建合理的风储联合系统调度策略以加快系统恢复速度成为当前的研究热点。为此，提出了一种计及冷负荷效应时变特性的含风储联合系统负荷恢复策略。介绍了输电系统恢复后期的负荷恢复优化方案；提出了考虑冷负荷效应时变特性和风储联合系统运行约束的输电系统负荷恢复模型，将冷负荷效应描述为关于停电时间的函数，并在风储联合系统的运行约束中考虑了储能系统的寿命约束。为了提高模型的求解效率，提出了基于Benders分解的求解框架，所构建的主问题模型和子问题模型均为混合整数线性规划模型，可调用商业求解器进行高效求解。以IEEE 39节点系统为算例验证了所提模型和方法的有效性。

Load restoration strategy with wind farm-battery energy storage system considering time-variation characteristic of cold load pickup

With the large-scale integration of wind power into the power system, the wind farm-battery energy storage system(WF-BESS) composed of power and energy storage has become one of the important measures to improve the absorption capacity of wind power. In the stage of power system restoration, how to construct a reasonable scheduling strategy for the WF-BESS to accelerate the system restoration speed has become a research hotspot. Therefore, a load restoration strategy considering the time-variation characteristic of cold load pickup(CLPU) is proposed for the system with WF-BESS. The load restoration optimization scheme in the late stage of transmission system restoration is introduced. A load restoration model of transmission system considering the time-variation characteristic of CLPU and the operation constraints of WF-BESS is proposed. The CLPU is described as a function of the blackout time, and the life constraint of energy storage system is considered in the operation constraints of WF-BESS. In order to improve the solving efficiency of the model, a solving framework based on Benders decomposition is proposed. The constructed main problem model and sub-problem model are mixed integer linear programming models, which can be solved efficiently by using commercial solvers. The effectiveness of the proposed model and method is verified by the example analysis of IEEE 39-bus system.