Bidding Strategy for Coordinated Operation of Wind Power Plants and NGG-P2G Units in Electricity Market
作者机构：Shenzhen PolytechnicShenzhenChina and also with the Department of Electrical EngineeringThe Hong Kong Polytechnic UniversityHung HomHong KongChina Department of Electrical EngineeringThe Hong Kong Polytechnic UniversityHung HomHong KongChina School of Electrical and Electronic EngineeringNorth China Electric Power UniversityBeijing 102206China School of Mechanical Engineering and AutomationHarbin Institute of TechnologyShenzhen 518055China College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060China
出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)
年 卷 期：2022年第8卷第1期
页 面：212-224页
核心收录：
学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
基 金：This work was jointly supported by The Hong Kong Polytechnic University,Shenzhen Polytechnic,the National Natural Science Foundation of China(52077075) the National Natural Science Foundation of China(Grant No.72001058) National Natural Science Foundation of China(Grant No.72171155)
主 题：Bi-level model bidding strategy WPP NGGP2G uncertainties
摘 要：The synergies between electricity and other energy resources could promote energy utilization efficiency in electricity *** this context,this paper proposes a bi-level stochastic optimization model for the joint operation of a coordinated wind power plant(WPP)and natural gas generating(NGG)-power to gas(P2G)suppliers participating in the day-ahead(DA)market and real-time(RT)market as well as providing real-time auxiliary *** coordinated supplier’s payoff is maximized in the upper level with consideration of the uncertainties of WPP output capacity and RT electricity price,while the social welfare of the grid is maximized in the lower *** results demonstrate the effectiveness of the proposed bidding model of the coordinated WPPs and NGG-P2G suppliers by examining its bidding behaviors and benefits with comparisons of four other bidding models.
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