电力建设2024，Vol.45Issue(9)：49-62,14.DOI:10.12204/j.issn.1000-7229.2024.09.005
考虑配电网灵活性供需匹配度及网络传输的储能和智能软开关协同规划
Energy Storage System and Soft Open Point Coordinated Planning Considering Distribution Network Flexibility Supply-Demand Matching and Network Transmission
摘要
Abstract
With the increasing penetration rates of distributed generators,the operation of distribution networks faces the challenge of insufficient flexibility owing to uncertainties in supply and demand. The key to addressing this issue lies in properly allocating flexible resources,such as energy storage systems (ESS) and soft open points (SOP). To this end,a three-level coordinated planning model for ESS and SOP that considers the flexibility of the distribution network is proposed in terms of flexibility,supply-demand matching,and transmission capacity. Within this model,the upper-level plans for multi-timescale energy storage,such as storage batteries and supercapacitors,aim to minimize the ESS investment costs. The middle-level plans for the SOP are intended to minimize the annual comprehensive operation cost of the distribution network. The lower-level plans optimize the objective of network flexibility in each scenario and solve the model using an adaptive particle swarm algorithm and a second-order cone planning algorithm. Finally,the effectiveness of the method is verified using an IEEE 33-bus system. The results show that,compared with the planning method that only considers a single time scale,the coordinated planning approach of the ESS and SOP proposed in this study reduces the annual comprehensive cost of the distribution network by 4.59％,thereby achieving the economic and flexible operation of the distribution network.关键词
配电网/灵活性供需匹配度/网络灵活性/智能软开关/储能装置Key words
distribution network/flexibility supply-demand matching/network flexibility/soft open point/energy storage system分类
信息技术与安全科学引用本文复制引用
陈依杭,李晓露,柳劲松,林顺富..考虑配电网灵活性供需匹配度及网络传输的储能和智能软开关协同规划[J].电力建设,2024,45(9):49-62,14.基金项目
国家自然科学基金项目(51977127) This work is supported by National Natural Science Foundation of China (No.51977127). （51977127）
