| 引用本文: | 吴心弘,潘玲玲,王泽荣,周竞,王勇.能量-备用多品种电力交易下空调负荷聚合商竞价策略[J].电力自动化设备,2023,43(2): |
| WU Xinhong,PAN Lingling,WANG Zerong,ZHOU Jing,WANG Yong.Bidding strategy of air conditioning load aggregator for energy-reserve multi-variety power trading[J].Electric Power Automation Equipment,2023,43(2): |
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| 摘要: |
| 双侧电力市场的开放为公共楼宇暖通空调负荷作为需求侧资源参与电力市场提供了新的机遇。为了挖掘用电高峰时段空调负荷的调控潜力，根据暖通空调的运行原理，基于能量守恒定律、热力学原理、质量守恒原理等，建立了公共楼宇暖通空调的物理模型，提出了暖通空调的柔性控制策略。考虑空调用户在负荷聚合商的统一协调下参与能量和备用市场，构建了能量-备用多品种电力交易下负荷聚合商的双层竞价模型，其中上层为负荷聚合商竞价模型，下层为电力市场出清模型，并基于KKT条件及对偶理论将双层优化问题转化为带平衡约束的单层优化模型，实现模型的高效求解。算例分析结果验证了所提竞价模型的有效性。 |
| 关键词: 空调负荷 负荷聚合商 多品种电力交易 能量市场 备用市场 |
| DOI：10.16081/j.epae.202204075 |
| 分类号:TM925.12;F416.61 |
| 基金项目:国家电网公司总部科技项目(面向零售和综合能源服务市场主体的多品种电力交易技术研究)(5108?202119052A?0?0?00) |
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| Bidding strategy of air conditioning load aggregator for energy-reserve multi-variety power trading |
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WU Xinhong1, PAN Lingling2, WANG Zerong1, ZHOU Jing2, WANG Yong2
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1.State Grid Zhejiang Integrated Energy Service Company, Hangzhou 310014, China;2.China Electric Power Research Institute, Nanjing 210003, China
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| Abstract: |
| The opening of bilateral electricity market provides a new opportunity for the heating, ventilation, and air conditioning(HVAC) load of public buildings to participate in the electricity market as demand-side resources. In order to explore the regulation potential of air conditioning load in the peak periods of power consumption, according to the operation principle of HVAC and based on the energy conservation law, the thermodynamic principle, the principle of mass conservation, and so on, the physical model of HVAC in public buildings is established and the flexible control strategy of HVAC is put forward. Considering that air conditioning users participate in the energy market and reserve market under the unified coordination of load aggregators, a bi-level bidding model of load aggregators for energy-reserve multi-variety power trading is constructed. The upper level is the bidding model of load aggregators and the lower level is the clearing model of electricity market. Based on KKT condition and duality theory, the bi-level optimization problem is transformed into a single-level optimization model with equilibrium constraints to achieve efficient solution of the model. The simulative results verify the effectiveness of the proposed bidding model. |
| Key words: air conditioning load load aggregators multi-variety power trading energy market reserve market |
