全球能源互联网（英文）2021，Vol.4Issue(1)：18-27,10.DOI:10.14171/j.2096-5117.gei.2021.01.002
考虑家庭用户停电的分布式光伏与储能系统的可靠性价值评估
Evaluating the reliability of distributed photovoltaic energy system and storage against household blackout
摘要
Abstract
Distributed energy resources have been proven to be an effective and promising solution to enhance power system resilience and improve household-level reliability. In this paper, we propose a method to evaluate the reliability value of a photovoltaic (PV) energy system with a battery storage system (BSS) by considering the probability of grid outages causing household blackouts. Considering this reliability value, which is the economic profit and capital cost of PV+BSS, a simple formula is derived to calculate the optimal planning strategy. This strategy can provide household-level customers with a simple and straightforward expression for invested PV+BSS capacity. Case studies on 600 households located in eight zones of the US for the period of 2006 to 2015 demonstrate that adding the reliability value to economic profit allows households to invest in a larger PV+BSS and avoid loss of load caused by blackouts. Owing to the differences in blackout hours, households from the 8 zones express distinct willingness to install PV+BSS. The greater the probability of blackout, the greater revenue that household can get from the PV+BSS. The simulation example shows that the planning strategy obtained by proposed model has good economy in the actual operation and able to reduce the economic risk of power failure of the household users. This model can provide household with an easy and straightforward investment strategy of PV+BSS capacity.关键词
电池储能/分布式发电规划/家庭用户停电/可靠性价值/真实数据集Key words
Battery storage/Distributed generation planning/Household blackout/Reliability value/Realistic dataset引用本文复制引用
Yimeng Sun,Jie Gao,Jianxiao Wang,Ziyang Huang,Gengyin Li,Ming Zhou..考虑家庭用户停电的分布式光伏与储能系统的可靠性价值评估[J].全球能源互联网（英文）,2021,4(1):18-27,10.基金项目
This work was supported by National Natural Science Foundation of China (Project 51907064), in part by China State Key Lab. of Power System (SKLD19KM09), and in part by State Grid Corporation of China (1400-202024222A-0-0-00). （Project 51907064）
