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高比例光伏和电动汽车接入配电网的无功优化 被引量:17

Reactive Power Optimization of Distribution Networks with High Proportion of PV and EVs
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摘要 随着风光储以及电动汽车的迅猛发展,高比例分布式能源和大量电动汽车接入配电网,导致电网控制难度增加,电压稳定性降低,有功网损增大。在高比例光伏和电动汽车接入配电网的基础上,接入储能装置,利用无功补偿装置对该配电网进行无功优化调节,构建了含PV,EV,DS,SVG的无功优化数学模型,并且利用粒子群算法进行寻优,最后通过IEEE30节点进行验证。根据结果分析可知,利用粒子群优化算法求解投切电容器组数的方案相较于传统投入固定电容器组数的方案,其网损明显降低,系统优化率大大提高。以22:00节点电压为例,优化后全时间段节点电压在0.94 p.u.~1.05 p.u.之间,电压波动较优化前趋于平缓,电压质量有所提高;采用PSO算法进行寻优计算,运行结果证明该算法收敛速度快、寻优能力强,验证了所提出的无功优化模型的有效性。 With the rapid development of wind-PV-storage and electric vehicles(EV),a high proportion of distributed energy and a large scale of EVs are integrated to distribution network,resulting in increased difficulty in the grid control,reduced voltage stability and increased active power loss.Based on the high proportion of PV and EVs connected to the distribution network,this paper constructs the mathematical model of reactive power optimization including PV,EV,DS,SVG by integrating energy storage system and using the reactive power compensation device to optimize and adjust the reactive power of the distribution network.In addition,the particle swarm optimization(PSO)algorithm is used to make a optimization,and the model is verified through IEEE30-node system.The result analysis shows that,compared to the traditional scheme with the fixed number of switched capacitor banks,the scheme using PSO algorithm to solve the number of the switched capacitor banks significantly reduces the network loss and greatly improves the system optimization rate.Taking the node voltage at 22:00 as a case,the optimized full-time node voltage is between 0.94 p.u.and 1.05 p.u.,smoothing the voltage fluctuation and improving the voltage quality.The PSO optimization algorithm has fast convergence speed and strong optimization ability,verifying the effectiveness of the proposed model.
作者 佟曦 侯朗博 孙昊 陈衡 刘涛 刘文毅 TONG Xi;HOU Langbo;SUN Hao;CHEN Heng;LIU Tao;LIU Wenyi(North China Electric Power University,Beijing 102206,China;Beijing Guodiantong Network Technology Co.,Ltd.,Beijing 100086,China)
出处 《智慧电力》 北大核心 2023年第10期31-37,102,共8页 Smart Power
基金 国家自然科学基金资助项目(52276006) 国家电网有限公司科技项目资助(5108-202218280A-2-142-XG)。
关键词 高比例光伏 电动汽车 粒子群算法 无功优化 high proportion of PV EV PSO reactive power optimization
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