基于KL散度的储能电站分布鲁棒规划方法

电化学储能的循环寿命受到充放电次数和放电深度的影响,为了更加准确地在新能源电力系统中规划储能电站,提出基于Kullback-Leibler(KL)散度的储能电站分布鲁棒规划方法.根据电化学储能循环寿命的幂函数,建立基于等效全循环次数的储能电站寿命模型,考虑储能电站寿命模型约束和系统运行约束,以储能电站的全寿命周期成本和...

KL DIVERGENCE-BASED DISTRIBUTIONALLY ROBUST PLANNING METHOD FOR ENERGY STORAGE PLANTS

The cycle life of electrochemical energy storage is affected by the number of charges and discharg and the depth of discharge. In order to more accurately plan the energy storage plants in the renewable energy power system, this paper proposes a distributionally robust planning method based on Kullback-Leibler （KL） divergence. According to the power function of cycle life of electrochemical energy storage, the life model of energy storage plants with equivalent full cycles times is established. Considering the life model constraints of the energy storage plant and system operating constraints, the planning model of energy storage plants is constructed with the life cycle cost and units’ operating cost minimum as the objective. Furthermore, the uncertainty set of wind power output based on KL divergence is embedded into the planning model of energy storage plants, and the distributionally robust planning model of energy storage plants is transformed into mixed integer linear programming model by sample average approximation method. In the modified IEEE-30 mode system with two wind farms, the advantages of the distributionally robust planning method proposed in this paper are verified.