摘要
在分布光伏接入配电网的比例逐年递增的背景下,评估与优化配电网的光伏消纳能力具有重要意义。针对配电网高渗透率光伏的接入节点数量、接入位置和接入容量的三重不确定性规划难题,提出了基于随机场景模拟与定界划分评估的配电网光伏消纳能力评估方法。首先以电压质量、变压器与线路传输容量为约束边界,对随机模拟场景的近似最大光伏消纳能力进行评估;然后分析了随机模拟场景分布性质,提出基于镜像埃尔朗抽样和场景分布性质的模拟效率的优化方法;最后通过多目标满意度距离从光伏消纳方案中比选出消纳容量、年运行电压安全裕度、配电网年均投资效益的综合最大的方案,保证配电网光伏的最大、安全和经济消纳。通过IEEE33节点系统的仿真分析,验证了所述方法的有效性及可行性。
In the context of increasing proportion of distributed PV accessing to distribution networks,it is important to evaluate and optimize PV accommodation capacity.Due to the triple uncertainty problem,i.e.the number of access nodes,access location and access capacity of highly penetrated photovoltaics,an evaluation method of PV capacity is proposed in this paper.Firstly,voltage quality,transformer and line transmission capacity are taken as constraint boundaries to evaluate approximate maximum PV accommodation capacity.Then the distribution property of random simulated scenarios is analyzed,and an efficiency optimization method based on mirror image Erlang sampling and scenario distribution property is proposed.Finally,from the aspect of satisfaction degree distance,a comprehensive scheme with proper accommodation capacity,annual voltage safety and annual investment benefit of distribution network is selected to ensure the largest,safe and economic accommodation of PV.Effectiveness and feasibility of the proposed method are verified with simulation analysis of IEEE 33-node system.
作者
薛蕾
井天军
陈义
王维洲
XUE Lei;JING Tianjun;CHEN Yi;WANG Weizhou(College of Information and Electrical Engineering,China Agricultural University,Haidian District,Beijing 100083,China;State Grid Beijing Electric Power Company,Yizhuang Power Supply Company,Daxing District,Beijing 102600,China;Gansu Provincial Electric Power Research Institute,State Grid Corporation of China,Lanzhou 730050,Gansu Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2020年第3期907-916,共10页
Power System Technology
基金
国家电网科技项目(面向同期线损管理的电网海量数据降损分析关键技术研究与应用示范(522722180003)).
关键词
高渗透率光伏
配电网
消纳能力
随机模拟
定界评估
highly penetrated photovoltaic
distribution network
accommodation capacity
stochastic simulation
delimitation assessment