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作 者:吉亚娟 王江波[1] JI Yajuan;WANG Jiangbo(College of Information and Electrical Engineering,China Agricultural University,Haidian District,Beijing 100083,China)
机构地区:[1]中国农业大学信息与电气工程学院,北京市海淀区100083
出 处:《电网技术》2024年第11期4503-4513,I0031-I0032,I0030,共14页Power System Technology
基 金:国家重点研发计划政府专项项目(2022YFE0129400)。
摘 要:大规模光伏接入配电网,光伏发电高峰期受并网点电压限制存在严重弃光,受其所在位置影响有功削减量不同导致电站间功率分配不公平。因此,提出一种基于在线潮流反馈优化的配电网光伏电源功率公平分配策略。收集配电网各节点历史电压、功率数据,搭建循环神经网络(recurrentneural network,RNN),通过训练得到节点间电压和功率的关系,结合配电网实时运行数据求解节点间实时电压灵敏度矩阵。将控制策略划分为无功控制和有功削减两种模式,分模式制定各电站初始发电计划,然后在配电网仿真模型上进行潮流计算,根据结果反馈修正发电计划,将最终结果下达电站并执行。经验证,所提策略能够有效抑制电压越限及波动,实现各电站有功削减量的公平分配。Integrating large-scale photovoltaic(PV)systems into distribution networks often leads to significant curtailment during peak generation periods due to voltage limitations at grid connection points.Variations in active power curtailment among stations,influenced by their geographical positions,result in unequal power distribution.Therefore,a fair distribution strategy for photovoltaic power in distribution networks is proposed based on online power flow feedback optimization.This strategy involves collecting historical voltage and power data,constructing a recurrent neural network to model the relationship between voltage and power at network nodes,and integrating real-time network operation data to derive real-time voltage sensitivity matrices between nodes.The control strategy is divided into two modes:reactive power control and active power reduction.The initial power generation plan of each power station is formulated in each mode,and then the power flow calculation is carried out on the distribution network simulation model,the results are disseminated to stations for execution.Validation confirms that the proposed strategy effectively suppresses voltage exceedance and fluctuations,achieving equitable distribution of active power curtailment among stations.
关 键 词:潮流 光伏电站 配电网 电压灵敏度 有功削减公平分配
分 类 号:TM721[电气工程—电力系统及自动化]
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