计及可再生能源与负荷互补特性的储能随机调度

在“风光储”并网系统中，需要考虑间歇性新能源的不确定性对电力系统的影响，基于此，构建了计及风电、光伏发电系统出力不确定性和负荷随机性的常规电源和储能装置随机优化日前调度模型。模型考虑了储能装置充放电限制的约束条件，在假设风速服从Weibull分布，光照服从Beta分布的条件下，推导出“风光储”并网系统等效负荷的平均方差表达式，并以此为目标函数建立储能装置随机优化调度模型，衡量平抑常规机组波动的能力。应用双链量子遗传算法进行求解，最后以IEEE30节点系统为例验证了所提出模型的可行性和有效性。

Stochastic Dispatching of Energy Storage Devices Considering Complementarity between Renewable Energy and Load

The influence of the indeterminacy of intermittent new energy on power system should be considered in wind-solar-battery hybrid power system. Based on this, the stochastic scheduling model of energy storing device and thermal power station was developed with considering wind/photovoltaic power’s indeterminacy and load’s stochasitic. The constraint condition of energy storing device’s charge-discharge was considered in the model. Assuming that the wind speed followed the Weibull distribution and the solar irradiance followed the Beta distribution, the average variance expression of equivalent load in wind-solar-battery hybrid power system was derived, which was used as objective function to build the stochastic optimization dispatching model of energy storing device, and measure the fluctuation inhibition ability of thermal power. The double chains quantum genetic algorithm was employed to solve this optimization problem. Finally, the efficiency and feasibility of the model were demonstrated by IEEE30 bus system.