摘要
针对以电化学储能电池技术为基础的储能系统的成本高、寿命短、污染环境等问题,以平抑风电输出功率而减少弃风弃电率为研究对象,提出了一种由重力蓄能电池和超级电容组成的混合储能系统。以储能系统投资成本最低和风电场弃电率最低为双目标,建立了混合储能系统容量优化配置模型,并采用Pareto档案多目标粒子群优化算法求解模型以确定风电场收益率最高的混合储能系统容量配置方案。通过对3种不同混合储能系统组合进行对比分析,进一步验证了所提出的混合储能系统及储能容量优化配置方案的可行性和有效性。仿真结果表明,基于重力储能的混合储能系统具有良好的经济性和可行性。
A hybrid energy storage system consisting of gravity energy storage batteries and supercapacitors is proposed to address the issues of high cost,short lifespan,and environmental pollution in energy storage systems based on electrochemical energy storage battery technology.The research focuses on stabilizing wind power output while reducing wind and electricity abandonment rates.Taking the lowest investment cost of the energy storage system and the lowest wind farm curtailment rate as the dual goals,a hybrid energy storage system capacity optimization configuration model was established,and the Pareto Archive Multi-objective Particle Swarm Optimization was used to solve the model to determine the hybrid Energy storage system with the highest wind farm yield.Through the comparative analysis of three different hybrid energy storage system combinations,the feasibility of the proposed hybrid energy storage system and energy storage capacity optimization configuration scheme was further verified.The simulation results show that the hybrid energy storage system based on gravity energy storage has good economy and feasibility.
作者
张陵
南东亮
赵启
买买提沙比尔·玉苏甫
ZHANG Ling;NAN Dong-liang;ZHAO Qi;Maimaitishabier YUSUFU(State Grid Xinjiang Electric Power CO.,Ltd.Electric Power Research Institute,Urumqi Xinjiang 830011,China;School of Electrical Engineering,Xinjiang University,Urumqi Xinjiang 830047,China)
出处
《计算机仿真》
2024年第1期103-110,共8页
Computer Simulation
基金
自治区重点研发计划(2020B02001)
教育部创新团队(IRT_16R6)。
