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作 者:张雅雯[1] 周献远 ZHANG Yawen;ZHOU Xianyuan(Anhui Electrical Engineering Professional Technique College, Hefei 230051, China;Maintenance Company of State Grid Anhui Electric Power Co. , Ltd. , 230000, China)
机构地区:[1]安徽电气工程职业技术学院,安徽合肥230051 [2]国网安徽省电力有限公司检修分公司,安徽合肥230000
出 处:《安徽电气工程职业技术学院学报》2019年第1期26-32,共7页Journal of Anhui Electrical Engineering Professional Technique College
摘 要:微网的混合储能容量配置问题直接关系其电能质量和经济性。基于独立光伏发电不确定的特点,针对基本粒子群算法的不足,文章提出了基于微网的混合储能改进粒子群优化算法。该方法以容量、功率为约束条件,系统全生命周期费用最小为目标,收敛速度更快、经济性更优。将改进后的粒子群算法与RTDS(实时数字仿真仪)平台相结合进行仿真,平抑了光伏发电系统直流侧输出电压,提高了电力系统的可靠性。The capacity configuration of hybrid energy storage in microgrid is directly related to the power quality and economical efficiency. Considering the uncertainty of solar power generation and the shortcoming of particle swarm optimization(PSO), the improved PSO algorithm of hybrid storage system based on microgrid is proposed. Having the capacity and the power as the constraint conditions, the algorithm realizes the goal of lowest annual life cycle cost with faster convergence speed and better economy. The optimized algorithm is related to RTDS for model simulation, which can maintain the stability of the DC bus voltage of photovoltaic power system and thus enhance its reliability.
关 键 词:微网 混合储能 基本粒子群算法 改进粒子群优化算法 实时数字仿真仪
分 类 号:TM711[电气工程—电力系统及自动化]
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