基于两阶段鲁棒区间优化的风储联合运行调度模型

为了全面和准确地考虑风电出力的不确定性和消纳能力，并兼顾系统运行的经济性和可靠性，通过在风电不确定区间可优化的鲁棒区间经济调度模型中引入常规机组和储能系统运行状态的离散决策变量，建立风储联合运行的双层鲁棒区间机组组合模型。针对连续变量和离散变量间存在耦合关系，导致计算过程中对偶转换失效而使模型难以求解的问题，提出基于Benders分解算法的两阶段迭代求解策略。仿真分析表明，所提模型在确定风储联合运行方式时，能更全面地考虑风电不确定性及消纳能力对系统运行经济性和可靠性的影响。

Joint operation model of wind-storage system based on two-stage robust interval optimization

In order to comprehensively and accurately take into account the uncertainty and accommodation ability of wind power and consider both the economy and reliability of system operation, the discrete decisive variables of conventional generator and ESS(Energy Storage System) are introduced into the robust interval economic dispatching model with an optimizable wind power uncertain interval, and a double-level robust interval unit commitment model is established for joint operation of wind-storage system. The invalid dual transform caused by coupling relation between the discrete and continuous variables in the calculation process makes the model hard to be solved, for which a two-stage iterative solution method based on Benders decomposition is proposed. Simulation analysis shows that the proposed model can consider the impact of uncertainty and accommodation ability of wind power on economy and reliability of system operation more comprehensively when determining the joint operation mode of wind-storage system.