摘要
分布式电池储能系统(battery energy storage system,BESS)在含高比例分布式电源(distributed generation,DG)的配电网中发挥着重要作用,如负荷平移、电压管理及降损等,而BESS的作用能否得到充分利用很大程度上取决于其配置。提出了一种针对含高比例DG不平衡配网的BESS优化配置模型。模型计及了时变负荷和DG出力及分时电价的影响,并以BESS一次投资和运维成本最小及降损和削峰填谷收益最大为优化目标。针对上述典型混合整型非线性规划问题和配网优化潮流问题,采用粒子群优化算法和直接潮流算法进行联合求解。在此基础上,为提高BESS配置的合理性和经济性,提出一种基于综合损耗灵敏度分析的新型序次配置策略。最后,通过澳大利亚真实配网开展仿真分析,验证所提BESS优化配置模型和序次配置策略的可行性、有效性与优越性。
Distributed battery energy storage system(BESS)plays important roles in distribution networks with high penetrations of distributed generation(DG),such as load-shifting,voltage regulation and loss reduction.BESS placement determines whether their capabilities can be fully exploited.This paper proposes a comprehensive BESS placement model for unbalanced distribution networks.The proposed method considers the impacts of time-varying load and DG profiles,as well as electricity prices.Its key objectives are minimizing the primary investment and operation/maintenance costs of BESS whilst maximizing the savings associated with loss reduction and load-shifting.To provide more reasonable and cost-effective solutions,this paper presents a novel sequential placement strategy based on comprehensive loss sensitivity.The heuristic particle swarm optimization(PSO)solver combined with direct load flow(DLF)algorithm is employed to effectively solve the distribution optimal power flow problem defined above.Finally,feasibility,effectiveness and superiority of the proposed BESS placement model and strategy are demonstrated with detailed numerical analyses on a real Australian distribution network.
作者
苏向敬
陈思利
米阳
符杨
SU Xiangjing;CHEN Sili;MI Yang;FU Yang(School of Electrical Engineering,Shanghai University of Electric Power,Yangpu District,Shanghai 200090,China)
出处
《电网技术》
EI
CSCD
北大核心
2019年第10期3698-3707,共10页
Power System Technology
基金
上海市浦江人才计划项目(17PJ1403000)
国家自然科学基金面上项目(61873159)~~
关键词
分布式电池储能
损耗灵敏度
序次配置
不平衡配电网
可再生能源发电
distributed battery energy storage system
loss sensitivity
sequential placement
unbalanced distribution network
renewable generation
