文献类型：期刊文献

英文题名：Economic and environmental assessment of multi-energy microgrids under a hybrid optimization technique

作者：Ding, Xiaonan[1,2];Guo, Qun[3];Tian, Qiannan[4];Jermsittiparsert, Kittisak[5,6,7]

第一作者：Ding, Xiaonan

通讯作者：Jermsittiparsert, K[1]

机构：[1]Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China;[2]Henan Univ Engn, Sch Econ & Trade, Zhengzhou 451191, Peoples R China;[3]Hubei Univ Econ, Ctr Hubei Cooperat Innovat Emiss Trading Syst, Wuhan 430205, Peoples R China;[4]Hubei Univ Econ, Hubei Logist Dev Res Ctr, Wuhan 430205, Peoples R China;[5]Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam;[6]Duy Tan Univ, Fac Humanities & Social Sci, Da Nang 550000, Vietnam;[7]Henan Univ Econ & Law, MBA Sch, Zhengzhou 450046, Henan, Peoples R China

第一机构：Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China

通讯机构：[1]corresponding author), Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam.

年份：2021

卷号：65

外文期刊名：SUSTAINABLE CITIES AND SOCIETY

收录：;EI(收录号：20205009619463);Scopus(收录号：2-s2.0-85097460427);WOS:【SCI-EXPANDED(收录号:WOS:000614852900005)】；

基金：Humanities and Social Science Fund of Ministry of Education China (20YJC630135); National Natural Science Foundation of China (72001072).

语种：英文

外文关键词：CO2 emission; Demand response programs (DR); Electric vehicle parking lots (EV-PLs); Multi-carrier microgrids (MCMGs); Power-to-gas (P2G)

摘要：Nowadays, multi-vector energy communities are receiving special attention from smart grid operators due to the integration of several types of energy sources. In this regard, multi-carrier microgrids (MCMGs) are known as a flexible platform to supply energy demands with an acceptable range of affordability and reliability by relying on the various energy conversion facilities. Given the pivotal role of MCMGs in future energy networks, accurate economic and environmental assessment of MCMGs, along with energy market plans has become a challenging task. In order to address this open issue, this paper proposes a hybrid robust/stochastic optimization strategy for optimal scheduling of the renewable-based MCMG to participate in electricity, gas, and district heat markets. The main objectives of this study are to minimize the total energy cost of the MCMG and decrease CO2 emission rates by considering the combined heat and power (CHP) unit, boiler unit, electrical energy storage (EES), thermal energy storage (TES), power-to-gas (P2G) storage, and wind turbine as the main components of the MCMG to provide the required energy. In addition, the role of the electric vehicle parking lots (EV-PLs) and demand response (DR) programs in the form of the day-ahead load shifting program is considered in improving the economic performance of the MCMG in energy markets. To accurately model the behavior of the MCMG, the uncertainties associated with wind power output, electrical loads, electricity market price, and behavior of electric vehicle (EV) (arrival/departure times and state of the charge) are handled by a hybrid robust-stochastic approach. The proposed robust/stochastic model is modeled as the mixed-integer linear programming (MILP) model, and solved by GAMS software. The effectiveness of the proposed structure is examined through various case studies. According to the obtained results, the total energy cost of the MCMG and the emission cost are decreased by up to 3.51 %, and 2.36 %, in the presence of EV-PLs, multi-carrier energy storage, and DR programs.