Abstract
In the integrated energy market, monitoring and managing the irregularities of market members is the key to ensuring efficient and stable of the market. This paper focuses on a multi-energy market in which the energy hub (EH) as a retailer purchases electricity from the main network and sells electricity and heat to energy users. We use a credit rating model based on Fisher discriminant analysis to evaluate the credit of the EH and set up three levels of punishment to punish the irregularities in trading. Furthermore, we establish a Bayesian game to model and analyze price strategy for EH. The cross-price elasticity of demand is a private information and serve as the type of EH. Each EH estimates the others’ prices and chooses the optimal price strategy that maximizes the expected benefits. Finally, real data are adopted to evaluate the proposed model.
| Original language | English |
|---|---|
| Article number | 120948 |
| Journal | Energy |
| Volume | 232 |
| ISSN | 0360-5442 |
| DOIs | |
| Publication status | Published - 1 Oct 2021 |
Bibliographical note
Funding Information:This work was supported in part by the National Natural Science Foundation of China under Grants 61973264 , 61731012 , and 61873223 , in part by S&T Program of Hebei under Grants F2020203026 and F2021203075 , in part by the Project Funded by China Postdoctoral Science Foundation under Grant 2016M601282 , and in part by VILLUM FONDEN under the VILLUM Investigator Grant (no. 25920 ): Center for Research on Microgrids (CROM) .
Publisher Copyright:
© 2021 Elsevier Ltd
Keywords
- Bayesian game
- Credit rating
- Energy hub
- Energy price
- Multi-energy market