面向分布式风电光伏的储能容量优化配置方法研究

Research on Optimization Configuration Method of Energy Storage Capacity for Distributed Wind PowerPhotovoltaics

传统方法在面向分布式风电光伏的储能容量优化配置中应用效果不佳,储能系统负荷峰谷差较大,运行经济收益较低,无法达到预期的配置效果,为此,本文提出面向分布式风电光伏的储能容量优化配置方法研究。从有效性与经济性两方面出发,以分布式风电光伏电站储能系统负荷峰谷差最小、储能容量配置成本最小为目标建立多目标函数,设定约束条件,对储能容量平衡、峰谷差率以及储能系统功率平均约束建立储能容量优化配置模型,利用蚁群算法计算模型,输出最优配置决策,实现面向分布式风电光伏的储能容量优化配置。经实验证明,在设计方法应用下,储能系统负荷峰谷差明显减小,且经济收益可达到1.21万元/日,具有良好的应用前景。

The poor application effect of traditional methods in optimizing the configuration of energy storage capacity for distributed wind power and photovoltaic systems,the peak to valley load difference of energy storage systems is large,and the economic benefits of operation are low,which cannot achieve the expected configuration effect.Therefore,this paper proposes a study on the optimization configuration method of energy storage capacity for distributed wind power photovoltaic.Starting from both effectiveness and economy,a multi-objective function is established with the goal of minimizing the peak valley difference in load and minimizing the cost of energy storage capacity configuration in the distributed wind power photovoltaic power station energy storage system.Constraint conditions are set to constrain the balance of energy storage capacity,peak valley difference rate,and power balance of the energy storage system.An energy storage capacity optimization configuration model is established,and ant colony algorithm is used to calculate the model and output the optimal configuration decision,Realize optimized configuration of energy storage capacity for distributed wind and photovoltaic systems.Through experiments,it has been proven that under the application of the design method,the peak valley difference of the energy storage system load is significantly reduced,and the economic benefit can reach 12100 yuan/day,which has good application prospects.