多站融合中考虑可靠性及经济性的储能站两阶段优化配置方法

Two-Stage Optimization Configuration Method for Energy Storage Stations Considering Reliability and Economy in Multi-station Fusion

为研究储能站在多站融合中的多功能优化配置方法,首先探讨用储能站替代传统柴油发电机和不间断电源(uninterruptible power supply,UPS)的可能性,通过可靠度计算对传统模式及储能站模式进行对比,结果表明用储能站替代的可靠度更高。进而对储能站的经济性进行分析,建立储能寿命模型并进行成本分析,通过对比储能站的投资成本、运行维护成本以及度电成本确定储能类型。最后综合考虑多站融合中储能站的可靠性以及经济性,以储能站的可靠性最佳和年净收益值最大为目标函数配置储能容量,采用粒子群优化(particle swarm optimization PSO)算法得到储能的最佳配置容量为可用容量3500 kWh,备用容量150 kWh,所提出的两阶段优化方法使得多站融合中储能的配置容量更加精确并且贴合实际。

To study a multifunction optimization configuration method for energy storage stations in multi-station integration,the possibility of replacing the traditional diesel generator and UPS with energy storage is discussed.The traditional and energy storage modes were compared using reliability calculations,and the results showed that the reliability of energy storage was higher.Then,the economy of energy storage was analyzed,a life model of energy storage was established,the cost was analyzed,and the type of energy storage was determined by comparing the investment,operation and maintenance,and kilowatthour costs of energy storage.Finally,considering the reliability and economy of the storage station in multi-station integration,we configured the energy storage with optimal reliability of the storage station and maximum annual net return value as the objective function.The particle swarm optimization algorithm was used to obtain an optimal allocation of energy storage capacity,with 3500 and 150 k Wh of usable and standby capacity,respectively.The example results show that the two-stage optimization method proposed in this study makes the allocation capacity of energy storage in multi-station fusion more accurate and realistic.