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Open Access

Bidding Strategy for Coordinated Operation of Wind Power Plants and NGG-P2G Units in Electricity Market

Xiang Gao, Ka Wing Chan, Shiwei Xia( ), Xian Zhang, Guibin Wang
Industrial Training Centre, Shenzhen Polytechnic, Shenzhen, China; and also with the Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China
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Abstract

The synergies between electricity and other energy resources could promote energy utilization efficiency in electricity market. Within 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 services. The 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 level. Simulation 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.

Keywords

Bi-level modelbidding strategyWPPNGG-P2Guncertainties

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CSEE Journal of Power and Energy Systems
Volume 8 Issue 1,
January 2022
Pages 212-224
DOI: 10.17775/CSEEJPES.2020.06100
Cite this article:
Gao X, Chan KW, Xia S, et al. Bidding Strategy for Coordinated Operation of Wind Power Plants and NGG-P2G Units in Electricity Market. CSEE Journal of Power and Energy Systems, 2022, 8(1): 212-224. https://doi.org/10.17775/CSEEJPES.2020.06100

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Received: 16 November 2020
Revised: 09 February 2021
Accepted: 11 May 2021
Published: 10 September 2021
© 2020 CSEE
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