基于贪心算法的电力系统储能容量配置优化方法

Greedy Algorithm Based Optimization Method for Power System Energy Storage Capacity Allocation

常规的电力系统储能容量配置优化方法以划分储能时间和调节储能容量为主,储能补偿容量相对较低,无法满足电力储能均衡配置需求,因此设计了基于贪心算法的电力系统储能容量配置优化方法。规划电力系统储能容量配置均衡潮流,将并网有功功率平衡与电力系统的潮流分布考虑在内,以电力系统经济性为原则进行合理配置。基于贪心算法配置电力系统储能容量最优阈值,多次配置电力系统储能容量,不断更新动态阈值,使每一次的贪心选择生成全局最优解,从而实现容量配置优化的目标。

Conventional power system energy storage capacity allocation optimization methods are based on dividing the storage time and regulating the storage capacity,and the storage compensation capacity is relatively low,which cannot meet the demand for balanced configuration of power storage,so a power system energy storage capacity allocation optimization method based on the greedy algorithm is designed.Planning power system energy storage capacity configuration balanced trend,the grid-connected active power balance and power system trend distribution is taken into account,and reasonable configuration is carried out based on the principle of power system economy.Based on the greedy algorithm to configure the optimal threshold of power system energy storage capacity,the power system energy storage capacity is configured several times,and the dynamic threshold is constantly updated,so that each greedy selection generates the global optimal solution,thus realizing the goal of capacity allocation optimization.