基于源网荷协同优化的配电网光储联合系统规划  

Planning of Combined PV-ESS System for Distribution Network Based on Source-network-load Collaborative Optimization

作　　者：彭春华 余愿 孙惠娟 PENG Chunhua;YU Yuan;SUN Huijuan(School of Electrical&Automation Engineering,East China Jiaotong University,Nanchang 330013,Jiangxi Province,China;Nanchang Honggutan Electric Power Beach Company,State Grid Jiangxi Electric Power Company,Nanchang 330000,Jiangxi Province,China)

机构地区：[1]华东交通大学电气与自动化工程学院,江西省南昌市330013 [2]国网江西省电力公司南昌市红谷滩供电分公司,江西省南昌市330000

出　　处：《电网技术》2019年第11期3944-3951,共8页Power System Technology

基　　金：国家自然科学基金资助项目(51867008,51567007);江西省自然科学基金项目(20192ACBL20007)~~

摘　　要：为进一步提高主动配电网中分布式光伏的消纳同时兼顾区域光储系统投资商收益,提出一种基于源-网-荷协同优化的配电网光储联合系统规划方法。利用基于并行迭代二分K-means-+聚类的多场景技术处理分布式光伏和负荷的不确定性。在分时电价的基础上,综合考虑源-网-荷侧不同类型主动管理措施,建立以区域光储联合系统投资商收益最大、光伏就地消纳率最大和节点电压偏差平均值最小为目标函数的双层优化模型,并利用并行双量子微分进化算法对其进行高效求解。以IEEE 33节点配电系统为例进行了光储联合规划与分析,结果表明所提方法可显著提高分布式光伏的就地消纳和增加区域能源投资商的收益。In order to further improve accommodation of distributed photovoltaics in active distribution network and take into account the revenue of regional combined PV-ESS system investors,a planning method for combined PV-ESS system based on source-network-load collaborative optimization is proposed.The multi-scenario technology based on parallel iterative dichotomous K-means-+clustering is used to deal with uncertainty of distributed photovoltaics and loads.On the basis of electricity use-time pricing,comprehensively considering different types of active management measures at the source-network-load side,a two-layer optimization model is established,taking the largest revenue of the regional combined PV-ESS system investors,the largest PV local accommodation and minimum average value of node voltage deviation as objective functions.The optimization model is solved with parallel double quantum differential evolution algorithm.The results of combined PV-ESS planning and analysis for IEEE 33-node test feeder demonstrate that the proposed method can significantly improve local accommodation of distributed photovoltaics and increase the revenue of regional energy investors.

关 键 词：光储联合系统 主动管理 协同优化 迭代二分K-means-+ 双量子微分进化 

分 类 号：TM721[电气工程—电力系统及自动化]