风光储微电网储能系统容量优化配置

Optimal configuration for energy storage system capacity of wind-solar-storage microgrid

太阳能、风能等分布式能源具有间歇性与波动性的特点,储能技术可有效地减少输出功率的波动性,提高能源的可控性。在分析风光储微电网系统出力特性的基础上,以系统总投资成本、年负荷缺电率、弃风弃光率最小为优化目标,建立风光储微电网储能系统容量优化配置模型。在不同约束条件和运行策略下,采用非支配排序遗传算法(NSGA)对模型进行求解,得到最优容量配置方案。算例结果表明,采用储能能量调度策略和NSGA对风光储微电网系统进行容量配置,显著降低了系统投资成本,提高了系统的供电可靠性和能源利用率。

Due to the intermittent and fluctuating characteristics of distributed energies such as solar energy and wind energy,energy storage technology is taken to effectively reduce their output fluctuations and improve their controllability.Based on the analysis on the characteristics of a wind-solar-storage microgrid’s output,an optimal capacity allocation model taking the minimum total investment cost,lowest annual load power shortage rate and optimal wind and solar energy abandonment rate of the microgrid system as the optimization objectives is established.The model’s optimal capacity allocation schemes under different constraints and operation strategies are obtained by non-dominated sequencing genetic algorithm(NSGA).The results show that the wind-solar-storage microgrid system optimized by the optimal energy storage capacity allocation scheme and NSGA is of a lower total investment cost,and higher power-supply reliability and energy utilization rate.