| 引用本文: | 刘小天,漆淘懿,惠红勋.面向精准调控的负荷聚合商需求响应性能评价与市场出清方法[J].电力系统保护与控制,2025,53(13):1-10.[点击复制] |
| LIU Xiaotian,QI Taoyi,HUI Hongxun.Demand response performance evaluation and market clearing method for load aggregator towards precision regulation[J].Power System Protection and Control,2025,53(13):1-10[点击复制] |
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| 摘要: |
| 含高比例新能源的新型电力系统亟需增强灵活调节能力，从而满足系统的安全稳定运行要求。海量负荷侧资源通过负荷聚合商的协调优化，能够参与需求响应市场并提供可观的调节容量。然而，在市场出清过程中，负荷聚合商的响应精准度未能得到充分体现，不仅阻碍了电力系统筛选优质的需求响应资源，也难以激励负荷聚合商主动提升响应精准度。为此，提出了一种面向精准调控的负荷聚合商性能评价和市场出清方法，旨在为电力系统筛选优质的需求响应资源。首先，基于响应偏差提出了考虑短期和长期影响的综合响应精准度指标，以评估负荷聚合商的响应性能。然后，设计了一种考虑综合响应精准度指标的市场出清方法和价格形成机制，在市场出清过程中筛选高响应精准度的负荷聚合商。最后，通过算例分析验证了所提方法的有效性，其不仅提升了优质负荷聚合商在市场出清中的竞争力，同时降低了电力系统实现精准负荷调控的总费用。 |
| 关键词: 负荷聚合商 需求响应 电力市场 出清机制 精准响应 |
| DOI：10.19783/j.cnki.pspc.241166 |
| 投稿时间：2024-08-30修订日期：2024-12-21 |
| 基金项目:国家自然科学基金项目资助(52407075)；澳门特别行政区科学技术发展基金项目资助(001/2024/SKL) |
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| Demand response performance evaluation and market clearing method for load aggregator towards precision regulation |
| LIU Xiaotian1,2,QI Taoyi1,2,HUI Hongxun1,2 |
| (1. State Key Laboratory of Internet of Things for Smart City (University of Macau), Macau 999078, China;
2. University of Macau Advanced Research Institute in Hengqin, Zhuhai 519000, China) |
| Abstract: |
| To meet the security and stability requirements of new power systems with high shares of renewable energy, it is essential to enhance system flexibility. Large-scale flexible loads can be aggregated and optimized by load aggregators (LAs) to participate in demand response (DR) markets and provide substantial regulation capacity. However, the response precision of LAs is not fully considered during market clearing, hindering the power system from effectively identifying high-quality flexible DR resources and failing to incentivize aggregators to improve their precision. To address this issue, this paper proposes a performance evaluation and market clearing method for LAs with an emphasis on precision regulation, aimed at enabling power systems to select high-quality DR resources. First, based on the deviations of LAs, a comprehensive response precision index that considers both short-term and long-term impacts is established to assess LAs’ performance. Then, the comprehensive index is integrated into the market clearing method and price mechanism to prioritize aggregators with higher response precision in the clearing process. Finally, case studies are conducted to validate the effectiveness of the proposed method, demonstrating that LAs with high-quality performance gain a competitive edge in future market clearings, while simultaneously reducing the overall costs of the power system to achieve precise load regulation. |
| Key words: load aggregators demand response electricity markets market clearing method precision response |
