Equilibrium analysis of coupled electricity and gas markets considering joint operation ofwind power with energy conversion and storage equipment
DOI:DOI: 10.19783/j.cnki.pspc.210869
Key Words:wind power bid deviation  power-to-gas equipment  natural gas generating unit  day-ahead electricity market  natural gas market  joint equilibrium model
Author NameAffiliation
WANG Xian School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200444, China 
LI Fengying School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200444, China 
ZHANG Shaohua School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200444, China 
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Abstract:The high uncertainty of wind power output will lead to the problem of bid deviations when wind power producers (WPPs) participate in market competition. Multi-energy complementarity in the multi-energy trading market is helpful in tackling WPP bid deviations. First, multi-energy market trading frameworks are proposed for two joint operational modes (namely cooperative joint operation and lease joint operation) of WPP, power-to-gas (P2G) equipment, natural gas generating unit (NGGU) and gas storage device (GSD). These two modes can fully compensate for the WPP bid deviations in the electricity market. In addition, the P2G equipment, NGGU and GSD can be used not only for compensating WPP bid deviations, but also for arbitrage between the electricity and gas markets. Second, in order to study and compare the influence of different joint operational modes on the equilibrium outcomes of the multi-energy market, multi-period Cournot equilibrium models are established for the electricity and gas markets under different joint operational modes. The Shapley value method is applied to allocate the profits among WPP, P2G, NGGU and GSD for the cooperative joint operation mode. Finally, numerical simulation shows that the two proposed joint operational modes are helpful in improving market competitiveness of WPP, mitigate price fluctuations in both the electricity and gas markets, and promote the efficient and stable operation of the two markets. This work is supported by the National Natural Science Foundation of China (No. 61773252).
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