摘要
在风力发电系统中,合理地规划配置储能系统的容量对于风力发电产业的长远发展具有非常重要的意义。首先建立了电池储能系统的模型,提出一种基于该类储能系统的容量优化配置策略,并在此基础上将电池储能系统的全生命周期成本作为储能容量的优化目标,建立了以发电系统能量缺失率等运行指标为约束条件的储能容量优化模型,运用粒子群算法对该复杂优化配置模型进行求解计算。通过对算例系统的求解,验证了所建模型和算法的正确性和有效性,同时也为风力发电系统中储能单元的容量优化提供了参考。
In wind power generation system,it is of great importance for the long-term development of wind power industry to reasonably configure the capacity of energy storage system. Firstly,the model of battery energy storage system（BESS）is built. Then,a capacity optimization strategy of the energy storage system is proposed. Based on this strategy,the optimal capacity model is established by taking the lowest life cycle cost of energy storage device as the opti-mization objective,and by considering the operation indices（such as the loss of power supply probability）as constraint conditions. Finally,the complex optimization model is solved by PSO algorithm. With the example system,it demonstrates the correctness and effectiveness of the proposed model and algorithm. At the same time,the method can provide a reference for the capacity optimization of energy storage units in wind generation system.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2015年第3期71-75,共5页
Proceedings of the CSU-EPSA
基金
国家电网公司科技项目(DZB1720B0064
电力系统中多元能源优化互补理论和算法研究)
关键词
风力发电系统
电池储能系统
容量优化配置策略
能量缺失率
粒子群算法
wind power generation system
battery energy storage system（BESS）
capacity optimization strategy
energy scarcity rate
particle swarm optimization（PSO）algorithm
