计及新能源功率概率分布特征的储能配置优化方法

An energy storage configuration optimization method considering power probability distribution characteristics of renewable energy

为了降低新能源功率波动对电网的冲击,文章提出了一种计及新能源功率概率分布的储能容量优化配置方法。首先,计算和统计不同时间尺度新能源功率波动量,确定新能源功率概率分布特征;其次,基于新能源功率概率分布特征及并网指标,建立计及时间尺度和功率波动量的储能配置优化模型;再次,基于给定的约束条件和时间尺度,计算波动量满足任意设定概率水平的最小储能充放电调节功率,从而确定储能的额定功率、容量和初始状态;最后,以某地区50 MW光伏电站实测数据进行算例分析。结果表明,此方法只调节不满足波动指标的新能源功率值,不会影响满足条件的功率值,所需储能功率和容量最小,且调节后功率不会出现偏移。

In order to reduce the influences of renewable energy power fluctuations on power systems, an energy storage configuration optimization method considering renewable energy power probability distribution is proposed in this paper. Firstly,calculate and count the renewable energy power fluctuations at different time scales, and determine the probability distribution characteristics of renewable energy power. Secondly, according to the probability distribution characteristics and the grid-connected index of renewable energy, the configuration optimization model of energy storage considering the renewable energy time-scale and power fluctuation is set up. Thirdly, based on the given constraints and time scale, calculate the minimum energy storage charging and discharging power where the fluctuations meet any set probability levels, thereby determining the rated power, capacity and initial state of the energy storage. At last, through calculation and analysis using the data measured from a 50 MW photovoltaic power station, the method is proved to be correct and effective. This method only compensates the fluctuated power that does not meet the fluctuation index, and has no impact on the power that has already satisfied.