Price Decision Optimization for Electricity Retailers Based on Dual Game under Carbon Constraints
Under carbon constraints, multiple retailers competing for sale of electricity and multiple users purchasing electricity in the market bring challenges to electricity retailers in setting their selling price to increase their own profits. Thereby, a dual game price decision optimization model for mu...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2024-05-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202309065 |
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| Summary: | Under carbon constraints, multiple retailers competing for sale of electricity and multiple users purchasing electricity in the market bring challenges to electricity retailers in setting their selling price to increase their own profits. Thereby, a dual game price decision optimization model for multiple electricity retailers competing for sale of electricity and multiple users purchasing electricity is proposed to address the issue of retail electricity pricing under carbon constraints. Firstly, a decision-making model for each market participant is established. Secondly, a dual game framework is established for electricity retailers, in which non-cooperative games are formed among electricity retailers, and master-slave games are formed between retailers and users. And then, the loop nested solver IPOPT is used to solve the dual game problem of retailers. Finally, the proposed model is validated and analyzed through simulation examples. The simulation shows that the retailers can realize their profit maximization through the proposed model to optimize reasonable electricity selling price, and at the same time the users can obtain the optimal electricity purchase strategy through the game model to improve their comprehensive satisfaction of electricity consumption. |
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| ISSN: | 1004-9649 |