Scenario analysis, management, and optimization of a new Vehicle-to-Micro-Grid (V2μG) network based on off-grid renewable building energy systems

被引:36
作者
Wang, Bingzheng [1 ,2 ]
Yu, Xiaoli [1 ,2 ]
Xu, Hongming [3 ]
Wu, Qian [4 ]
Wang, Lei [5 ]
Huang, Rui [4 ]
Li, Zhi [1 ,2 ]
Zhou, Quan [1 ,3 ]
机构
[1] Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
[2] Zhejiang Univ, Ningbo Res Inst, Ningbo 315100, Peoples R China
[3] Univ Birmingham, Sch Engn, Birmingham B15 2TT, England
[4] Zhejiang Univ City Coll, Dept Mech Engn, Hangzhou 310015, Peoples R China
[5] Ningbo CSI Power & Machinery Grp Co Ltd, Ningbo 315033, Peoples R China
基金
中国国家自然科学基金;
关键词
Off-grid building energy system; Vehicle-to-grid network; Electric vehicles; Energy storage; ELECTRIC VEHICLES; POWER; SOLAR; STRATEGY; STORAGE; TECHNOLOGIES; DEGRADATION; INTEGRATION; BATTERIES; DESIGN;
D O I
10.1016/j.apenergy.2022.119873
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
To fully exploit the potential of decarburization in the transport sector (e.g., electric vehicles (EV)) and energy sector (e.g., building energy system), this paper proposes a new concept of 'Vehicle-to-Micro-Grid (V2 mu G) network' that incorporates the off-grid building energy system with flexible power storage/supply provided by battery EVs (BEVs) and fuel cell EVs (FCEVs). The work is conducted with three main contributions: 1) a rule-based energy management strategy is proposed to study the impact of the V2 mu G interactions on the EV battery degradation; 2) a scenario analysis based on four working modes is conducted to evaluate the energy efficiency, costing, environmental impacts, and component ageing of the proposed V2 mu G network; 3) the optimum settings for system configuration, capacity, and operation strategy of the V2 mu G network are obtained by the NSGA-II algorithm. The study suggested that the degradation of lithium-ion batteries in BEV can be reduced by 13% compared to the network without FCEVs. In a community with 160 households and 200 EVs, the optimal V2 mu G network can reduce carbon dioxide emissions by 515.56 tons annually compared to the conventional off -grid building energy system powered by internal combustion engines.
引用
收藏
页数:17
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