A day-ahead electricity market-clearing model considering medium- and long-term transactions and wind producer participation

Autor: Gengyin Li, Zhaoyuan Wu, Yiheng He, Tong Zhao, Ming Zhou, Suyan Long
Rok vydání: 2019
Předmět:
Zdroj: SCIENTIA SINICA Informationis. 49:1050-1065
ISSN: 1674-7267
DOI: 10.1360/n112018-00073
Popis: A transaction and settlement model of day-ahead markets that considers both long-term contract and wind power producer participation is proposed for Chinas electricity market, in which current developments promote both long-term contracts and spot transactions, and in which a trend to improve new energy accommodation through the spot market exists. The combination of long-term contract electricity and day-ahead transactions, as well as a joint optimization model of electric power and reserve, has been proposed. A multi-scenario probability distribution was used to examine the stochastic nature of wind generation. The case studies demonstrate the effectiveness and rationality of the proposed model by comparison with the sequential clearing model. The results provide an analytical tool for the transition from the current electricity market, which consists mainly of long-term contracts and spot transactions.
Databáze: OpenAIRE