| 引用本文: | 李晓露,徐婉云,柳劲松,林顺富.考虑时序相关性的需求侧资源可调节功率域聚合方法[J].电力系统保护与控制,2024,52(15):58-68.[点击复制] |
| LI Xiaolu,XU Wanyun,LIU Jinsong,LIN Shunfu.Adjustable power domain aggregation method for demand-side resources considering temporal correlation[J].Power System Protection and Control,2024,52(15):58-68[点击复制] |
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| 摘要: |
| 在新能源高比例接入电网的背景下，需充分利用需求侧资源的灵活可调特性以保证电网的安全稳定与经济性。针对需求侧资源多样、数量多、容量小且分布广的特点，提出一种考虑时序相关性的需求侧资源可调节功率域聚合方法。首先，考虑需求侧资源功率调节的时序相关性，以相邻时段可调节功率域来量化其功率调节能力。其次，基于闵可夫斯基之和及上下边界近似法提出可调节功率域聚合方法，采用自适应分布鲁棒优化算法求解近似可行域边界辨识模型，确保其聚合最优性和解的可行性。然后，通过时段聚类方法得到适用于日前调度的多时段可调节功率域，降低计算复杂度。最后，通过算例对比分析可知，所提方法具有更高的计算效率和近似精度。 |
| 关键词: 需求侧资源 时序相关性 上下边界近似方法 可调节功率域聚合 |
| DOI：10.19783/j.cnki.pspc.240196 |
| 投稿时间：2024-02-23修订日期：2024-04-25 |
| 基金项目:国家自然科学基金项目资助(51977127) |
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| Adjustable power domain aggregation method for demand-side resources considering temporal correlation |
| LI Xiaolu1,XU Wanyun1,LIU Jinsong2,LIN Shunfu1 |
| (1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China; 2. Electric Power
Research Institute of State Grid Shanghai Municipal Electric Power Company, Shanghai 200437, China) |
| Abstract: |
| With a high proportion of new energy connected to the power grid, it is necessary to make full use of the flexible and adjustable characteristics of demand-side resources to ensure security, stability and economy. Aiming at the characteristics of demand-side resources that are diverse, large in number, small in capacity and widely distributed, an adjustable power domain aggregation method for demand-side resources considering timing correlation is proposed. First, considering the time-series correlation of the power regulation of demand-side resources, the power adjustment capability of the demand-side resources is quantified by describing the adjustable power domain of the adjacent period. Secondly, an aggregation method of an adjustable power domain is proposed based on the Minkowski sum and the upper and lower boundary approximation method, and an adaptive distribution robust optimization algorithm is used to analyze the approximate feasible region boundary identification model to ensure the optimality of aggregation and the feasibility of solutions. A multi-period adjustable power domain suitable for day-ahead scheduling is obtained using the time-period clustering method, which reduces computational complexity. Finally, a comparative analysis of the arithmetic examples shows that the proposed method has higher computational efficiency and approximation accuracy. |
| Key words: demand-side resources temporal correlation upper and lower boundary approximation methods adjustable power domain aggregation |
