文献类型：期刊文献

英文题名：Efficient integration of demand response and plug-in electrical vehicle in microgrid: Environmental and economic assessment

作者：Guo, Qun[1];Liang, Xiaodan[2];Xie, Dingnan[3];Jermsittiparsert, Kittisak[4,5,6]

第一作者：Guo, Qun

通讯作者：Guo, Q[1];Jermsittiparsert, K[2]

机构：[1]Hubei Univ Econ, Sch Low Carbon Econ, Ctr Hubei Cooperat Innovat Emiss Trading Syst, Wuhan 430072, Peoples R China;[2]Tianjin Polytech Univ, Sch Comp Sci & Technol, Tianjin 300387, Peoples R China;[3]Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China;[4]Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam;[5]Duy Tan Univ, Fac Humanities & Social Sci, Da Nang 550000, Vietnam;[6]Henan Univ Econ & Law, MBA Sch, Zhengzhou 450046, Henan, Peoples R China

第一机构：Hubei Univ Econ, Sch Low Carbon Econ, Ctr Hubei Cooperat Innovat Emiss Trading Syst, Wuhan 430072, Peoples R China

通讯机构：[1]corresponding author), Hubei Univ Econ, Sch Low Carbon Econ, Ctr Hubei Cooperat Innovat Emiss Trading Syst, Wuhan 430072, Peoples R China;[2]corresponding author), Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam.

年份：2021

卷号：291

外文期刊名：JOURNAL OF CLEANER PRODUCTION

收录：;EI(收录号：20210409813216);Scopus(收录号：2-s2.0-85099508113);WOS:【SCI-EXPANDED(收录号:WOS:000624673800008)】；

语种：英文

外文关键词：Microgrid; Plug-in electric vehicle; Demand response; Emission; Operation cost; Uncertainty

摘要：The microgrid has become a promising area to mitigate multiple challenges of the power system, resulting from renewable energy integration, climate change, as well as economic issues. However, the integration of flexible emerging technologies in microgrid operation to enhance the efficiency of energy supply, as well as environmental and economic challenges are urgently needed. Motivated by these challenges, this paper elaborates on the two-stage multi-objective optimization model for optimal scheduling of microgrid. The demand response program based on the time of use model, and plug-in electric vehicles have been integrated into the microgrid to contribute in economic and environmental goals. The proposed model extends the realistic EVs model based on the Wohler curve and AC-power flow equations. The proposed model is exposed to a wide range of random parameters, including wind output, load, price, and EVs' behaviours. To handle the uncertainties, and solving problem, scenario-based stochastic and weighted sum based on fuzzy decision-making strategies are respectively applied. The proposed model is tested on the 33-bus microgrid and examined for different cases. Results prove the impacts of the efficient integration of demand response, and a plug-in electric vehicle in the reducing of operational cost, and emission by 3.57% and 3.4%, respectively. (c) 2021 Elsevier Ltd. All rights reserved.