| 引用本文: | 汤木易,罗毅,胡博,韩越,赵苑竹,李斌,朱伟业,童齐栋,李丁,吴亚宁.热力实时定价机制下热电联产机组多能源市场协同决策研究[J].电力自动化设备,2021,41(9): |
| TANG Muyi,LUO Yi,HU Bo,HAN Yue,ZHAO Yuanzhu,LI Bin,ZHU Weiye,TONG Qidong,LI Ding,WU Yaning.Research on multi-energy market joint decision-making of combined heat and power units under real-time heating pricing mechanism[J].Electric Power Automation Equipment,2021,41(9): |
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| 热力实时定价机制下热电联产机组多能源市场协同决策研究 |
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汤木易1, 罗毅1, 胡博2, 韩越1, 赵苑竹2, 李斌2, 朱伟业1, 童齐栋1, 李丁1, 吴亚宁1
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1.华中科技大学 电气与电子工程学院，湖北 武汉 430074;2.国网辽宁省电力有限公司，辽宁 沈阳 110300
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| 摘要: |
| 随着能源市场化改革逐步深入，市场机制下热电联产(CHP)机组的运行与决策受到广泛关注，而以热定电限制了CHP机组的灵活性，影响其独立参与市场的收益。基于此，采用实时定价的热力市场机制挖掘需求灵活性，提出热力实时定价机制下CHP机组在多能源市场中的协同决策双层模型，即CHP机组参与电力市场的同时，在热力市场制定实时热价进行负荷管理释放灵活性，以最大化参与能源市场的利润。其中上层模型为CHP机组最优电力报价与热力定价模型，下层模型为电力批发市场出清模型与热用户决策模型。利用KKT条件等将双层模型转化为混合整数线性规划模型以进行求解。通过算例验证所提模型的可行性与有效性，算例结果表明热力实时定价在有效提高CHP机组电力侧灵活性与机组利润的同时，改善了用户与社会福利。最后，探究了热力实时定价机制下CHP机组在电力市场的策略报价行为。 |
| 关键词: 热电联产机组 热力实时定价 电力批发市场 双层模型 KKT条件 |
| DOI：10.16081/j.epae.202108021 |
| 分类号:TM73;TK01;F123.9 |
| 基金项目:国家重点研发计划项目(2017YFB0902100) |
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| Research on multi-energy market joint decision-making of combined heat and power units under real-time heating pricing mechanism |
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TANG Muyi1, LUO Yi1, HU Bo2, HAN Yue1, ZHAO Yuanzhu2, LI Bin2, ZHU Weiye1, TONG Qidong1, LI Ding1, WU Yaning1
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1.School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;2.State Grid Liaoning Electric Power Co.,Ltd.,Shenyang 110300, China
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| Abstract: |
| With the deepening of energy market reform, the operation and decision-making of CHP(Combined Heat and Power) units under the market mechanism have been widely concerned. However, the strong interdependency of heat and power supply restricts the flexibility of CHP units and influences the profit when CHP units participate in the market independently. Based on this, the real-time pricing is applied to excavate demand flexibility in heating system. Then, a bi-level joint decision-making model for CHP unit in multi-energy market under real-time heating pricing mechanism is proposed. That is, when CHP units participate in the electricity market, the real-time prices are set in the heating market for load management that can release flexibility, so that maximizing the profit when participating in energy market. In the bi-level model, the upper-level is the model for the optimal electricity bidding and heating pricing of CHP units, and the lower-level is the clearing model of wholesale electricity market and the decision-making model of heating customers. The bi-level model is transformed into a mixed integer linear programming model by KKT conditions to be further solved. The feasibility and effectiveness of the proposed model are verified by numerical results, which indicate that the real-time heating pricing can not only effectively promote the power-side flexibility and profit of CHP units, but also improve the customer and social welfare. Finally, the strategic bidding behavior of CHP units in the electricity market under real-time heating pricing mechanism is explored. |
| Key words: combined heat and power units real-time heating pricing wholesale electricity market bi-level model KKT conditions |
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