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作 者:Bo ZHANG Yuqi JI Lu ZHANG Wei TANG Xiaohui ZHANG Liang WANG Haoran DING Hanchen MAO
机构地区:[1]College of Information and Electrical Engineering,China Agricultural University,Beijing 100084,China [2]State Grid HeiLongJiang Electric Power Research Institute,State Grid HeiLongJiang Electric Power Company Limited,Harbin 150030,China [3]School of Electrical and Information Engineering,Zhengzhou University of Light Industry,Zhengzhou 450000,China
出 处:《Science China(Technological Sciences)》2025年第2期278-289,共12页中国科学(技术科学英文版)
基 金:supported by the National Key Research and Development Program of China(Grant No.2019YFE0118400).
摘 要:Random integration of massive distributed photovoltaic(PV)generation poses serious challenges to distribution networks.Voltage violations,line overloads,increased peak-valley differences,and power-flow reversals can occur at different locations,times,and severities.Traditional planning methods such as energy storage(ES)allocation and upgrading of lines may result in poor economics and low equipment utilization.This study proposes a distribution-network planning strategy that coordinates three planning mechanisms:ES allocation to substations and to feeders,and line upgrading.The proposed strategy achieved the lowest annual cost,considering the distribution network problems at different locations,times,and severities.A net load curve description method was first proposed considering economic planning and the uncertain distribution of loads and PVs.Second,a multistage optimization model for ES allocation and line upgrading was established based on the net load curves.Finally,an improved IEEE33 node system was used in the case study.The planning results show that the proposed coordinated planning strategy can address the problems caused by the random integration of massive distributed PVs,improve equipment utilization,and obtain the lowest total annual planning cost.
关 键 词:distribution network high proportion of PVs energy-storage allocation line upgrading uncertainty
分 类 号:TM615[电气工程—电力系统及自动化]
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