电网技术2026，Vol.50Issue(1)：中插133,294-302,中插134-中插139,16.DOI:10.13335/j.1000-3673.pst.2024.1409
分布式光伏接入下智能配电网的集中式混合储能选址定容优化方法
Optimization Method for Site Selection and Capacity Determination of Centralized Hybrid Energy Storage in Intelligent Distribution Networks Under Distributed Photovoltaic Access
摘要
Abstract
The trend of distributed photovoltaic points with strong random characteristics being widely distributed and randomly connected to intelligent distribution networks has become significant,posing a huge challenge to the stable operation of intelligent distribution networks.Reasonably optimizing the configuration of hybrid energy storage is one of the important measures to smooth out such strong intermittent fluctuations.Therefore,this paper proposes a site selection and capacity optimization method for centralized hybrid energy storage in intelligent distribution networks under high-proportion distributed photovoltaic access.A hybrid energy storage system(HESS)consisting of batteries and supercapacitors is selected.The Variational Mode Decomposition(VMD)algorithm is used to allocate energy storage power,and the power signals of the batteries and supercapacitors are corrected through fuzzy control to maintain their State of Charge(SOC)within a specified range and improve the energy storage life.Secondly,considering the economic feasibility of hybrid energy storage and the operational stability of intelligent distribution networks,a dual-layer optimization model for hybrid energy storage location and capacity is constructed.The upper layer aims to minimize the total cost of energy storage throughout its entire lifecycle.In contrast,the lower layer aims to minimize voltage fluctuations,line losses,and netload fluctuations in the intelligent distribution network.Afterward,the improved Osprey Optimization Algorithm(OOA)and the third-generation Non dominated Sorting Genetic Algorithms Ⅲ (NSGA Ⅲ)nested algorithm were used to solve the model.Finally,the model's effectiveness was verified on the improved IEEE33 and IEEE118 nodes.Simulation results showed that through reasonable energy storage configuration,the economy was improved by 34.2％,voltage fluctuations were reduced by 3.15％,line losses were reduced by 0.13％,and netload fluctuations were reduced by 1.7％.This achieved the goal of ensuring an energy storage economy while improving the stability of intelligent distribution network operation.关键词
光伏/混合储能/选址定容/变分模态分解/模糊控制/NSGA Ⅲ/多目标优化Key words
photovoltaics/hybrid energy storage/site selection and capacity determination/variational mode decomposition/fuzzy control/NSGAⅢ/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
陈浈斐,马程,葛磊蛟,王英,陈晓婧,车玉龙,陈艳波..分布式光伏接入下智能配电网的集中式混合储能选址定容优化方法[J].电网技术,2026,50(1):中插133,294-302,中插134-中插139,16.基金项目
新一代人工智能国家科技重大专项(2022ZD0116900) （2022ZD0116900）
天津市自然科学基金多元投入重点项目(22JCZDJC00660) （22JCZDJC00660）
新能源电力系统全国重点实验室开放课题(LAPS23018).Project Supported by National Science and Technology Major Project(2022ZD0116900) （LAPS23018）
Natural Science Foundation of Tianjin(22JCZDJC00660) （22JCZDJC00660）
State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(LAPS23018). （LAPS23018）
