面向新能源高渗透系统调峰和调频的系统级储能容量需求分析

Capacity demand analysis of system-level energy storage for peak regulation and frequency regulation of power system with high penetration of renewable energy

高渗透新能源的强不确定性及火电机组占比的逐步减小使得系统灵活性资源不足,系统级储能可高效缓解系统的调峰和调频压力。为此,从系统角度提出了一种面向新能源高渗透系统调峰和调频的系统级储能需求容量确定方法。基于分位数回归分析和高斯混合模型聚类,提出了一种刻画净负荷不确定性的场景集生成方法;基于生成的场景集,建立了一种无储能容量约束的常规火电机组与储能联合优化运行模型,以获取最优运行时储能参与调峰和调频的功率;为了同时兼顾储能利用率和系统运行成本,构建了基于储能电量偏离程度、运行成本增长率指标的储能功率修正模型,并确定储能需求功率和容量,进而分析新能源渗透率、储能功率和容量与满足需求的置信度水平三者之间的关系。算例仿真结果表明,所提方法能够有效确定新能源高渗透系统调峰和调频对储能的需求容量。

The strong uncertainty of renewable energy with high penetration and the gradual reduction of the proportion of thermal power units lead to insufficient flexibility resources of the system.System-level energy storage can effectively relieve the pressure of peak regulation and frequency regulation of the sys⁃tem.Therefore,a demand capacity determination method of system-level energy storage for peak regulation and frequency regulation of power system with high penetration of renewable energy is proposed from the perspective of system.Based on the quantile regression analysis and Gaussian mixture model clustering,a scenario set generation method is proposed to depict the uncertainty of net load.Based on the generated scenario sets,a joint optimal operation model of conventional thermal power units and energy storage with⁃out energy storage capacity constraints is established to obtain the peak regulation power and frequency regulation power of energy storage during optimal operation.In order to take into account both the energy storage utilization rate and the system operation cost,an energy storage power correction model based on the energy storage electricity deviation index and operation cost growth rate index is constructed,the demand power and capacity of energy storage are determined,and then the relationship among the penetration rate of renewable energy,the power and capacity of energy storage and the confidence level to meet the demand is analyzed.The simulative results show that the proposed method can effectively determine the demand capacity of energy storage for peak regulation and frequency regulation of power system with high penetration of renewable energy.