基于改进粒子群算法的新能源侧储能容量配置

Energy Storage Capacity Allocation of Renewable Energy Side Based on Improved Particle Swarm Optimization

在新能源侧配置储能可有效减少弃风弃光,提高新能源消纳能力。综合考虑储能消纳风光的能力及其经济性,以风光电站弃风弃光电量和储能投资成本最小为目标构建新能源侧储能配置模型。提出基于改进多目标粒子群算法的优化算法对模型进行求解,在求出的各目标权重的基础上,采用熵权法排序得出最佳储能容量配置方案。以某风光电站为例进行仿真分析,结果表明,配置储能后可有效消纳风光,且具有较好的经济性,验证了所提方法的有效性和可行性。

The configuration of energy storage on the renewable energy side can effectively reduce the abandoned wind and solar energy, and improve the new energy consumption capacity. Firstly,the comprehensive consideration of energy storage capacity to consume wind-solar energy and its economy,the energy storage configuration model on the new energy side is constructed with the goal of minimizing the wind and solar power abandoning and energy storage investment cost of the wind-solar power station. Secondly,an optimization algorithm based on the improved multi-objective particle swarm optimization algorithm is proposed to solve the energy storage capacity allocation model,and the best energy storage capacity allocation scheme is derived by using the entropy weighting method to rank on the basis of the derived weights of each objective. Finally,the arithmetic analysis of a wind-solar station shows that the configuration of energy storage can effectively consume the wind and solar energy and has good economy,which verifies the effectiveness and feasibility of the proposed method.