文献类型：期刊文献

英文题名：An IGDT-based risk-involved optimal bidding strategy for hydrogen storage-based intelligent parking lot of electric vehicles

作者：Liu, Jun[1];Chen, Chong[2];Liu, Zhenling[3];Jermsittiparsert, Kittisak[4];Ghadimi, Noradin[5]

第一作者：Liu, Jun

通讯作者：Jermsittiparsert, K[1]

机构：[1]Zhengzhou Univ Light Ind, Sch Econ & Management, Zhengzhou 450001, Peoples R China;[2]Henan Univ Econ & Law, Sch Business & Adm, Zhengzhou 450001, Peoples R China;[3]Henan Univ Technol, Sch Management, Zhengzhou 450001, Peoples R China;[4]Chulalongkorn Univ, Social Res Inst, Bangkok, Thailand;[5]Islamic Azad Univ, Ardabil Branch, Young Researchers & Elite Club, Ardebil, Iran

第一机构：Zhengzhou Univ Light Ind, Sch Econ & Management, Zhengzhou 450001, Peoples R China

通讯机构：[1]corresponding author), Chulalongkorn Univ, Social Res Inst, Bangkok, Thailand.

年份：2020

卷号：27

外文期刊名：JOURNAL OF ENERGY STORAGE

收录：;EI(收录号：20194507648208);Scopus(收录号：2-s2.0-85074604545);WOS:【SCI-EXPANDED(收录号:WOS:000516714200013)】；

基金：This research had been supported by Program for Science & Technology Innovation Talents in Universities of Henan Province under Grant No.19HASTIT031, National Social Science Foundation under Grants No.19BGL034, Humanities and Social Sciences Planning Project of Ministry of Education under Grant No.18YJC630006, Soft Science Research Planning Project of Henan Province under Grant No.192400410248, Key Scientific Research Project of Universities and Colleges in Henan Province under Grant No.19B630001, Major Project of Philosophy and Social Sciences Application Research in Higher Education Institutions from Henan Province under Grant No.2017-YYZD-03, Support Plan for Science & Technology Innovation Talents in Universities of Henan Province (Humanities and Social Sciences) under Grant No.2019-CX-022, Young talents Fund of HUEL.

语种：英文

外文关键词：Social welfare of owners of electric vehicles; Intelligent parking lot; Optimal bidding curve; Power price policy; IGDT technique; Energy management and business

摘要：In a near future, electric vehicles (EVs) will constitute considerable part of transportation systems due to their important aspects such as being environment friendly. To manage high number of EVs, developing hydrogen storage-based intelligent parking lots (IPLs) can help power system operators to overcome caused problems by high penetration of EVs. In this work, a new method is applied to get optimal management of IPLs in an uncertain environment and provide optimal bidding curves to take part in power market. The main purpose of this work is to get optimal bidding curves with considering power price uncertainty and optimal operation of IPLs. To model uncertainty of power price in the power market and develop optimal bidding curve, the opportunity, deterministic and robustness functions of the information gap decision theory (IGDT) technique has been developed. Obtained results has been presented in three strategies namely risk-taker, risk-neutral, and risk-averse corresponding to opportunity, deterministic, and robustness functions of the IGDT technique. In order to demonstrate the effects of demand response program (DRP), each strategy is optimized with and without DRP cases. The mixed-integer non-linear programming model is used to formulate the proposed problem which is solved using the GAMS optimization software under DICOPT solver.