并网风光发电中混合储能系统容量优化配置

Capacity Optimization of Hybrid Energy Storage System in Grid-Connected Wind and PV Power Generation System

提高并网风光发电系统的调度灵活性需要引入储能技术,而储能技术研究的首要关键技术问题就是储能系统的容量配置。利用蓄电池和超级电容器的互补特性,提出了一种以优化蓄电池工作状态为原则,以提高储能系统整体经济性为目标的能量管理策略。基于该能量管理策略分析了并网风光发电系统能量损失率和能量缺失率的计算流程,根据全生命周期费用理论,建立了储能装置的年均费用函数表达式,并建立了以该函数值最小为目标,以系统能量损失率及能量缺失率等运行指标为约束的储能容量优化配置模型。运用改进混沌优化算法对实例进行了计算,验证了该优化模型与算法的正确性和有效性。

To improve scheduling flexibility of grid-connected Wind and PV power generation system, it is necessary for the system to apply energy storage technology, and the primary key technological problem to be researched is how to determine the capacity configuration of the energy storage system. Using complementary characteristics of the battery and the supercapacitor, an energy management strategy, in which the optimization of battery operating condition is taken as the principle and the improvement of overall economy of energy storage system as the objective, is proposed. Based on the proposed energy management storage, the energy loss rate of grid-connected wind and PV generation system and the calculation course of the rate are analyzed. According to the theory of life cycle cost, the expressions for annual average cost function of energy storage system is established; taking the minimization of this function value as the objective and the loss of produced power probability and the loss of power supply probability as constraints, an optimal configuration model for optimal configuration of the capacity of energy storage system is built. Case calculation is performed by use of improved chaotic optimization algorithm and the built optimization model, and calculation results show that the built optimal modes and the improved algorithm are correct and effective.