| 引用本文: | 尚亚彬,王小君,刘 曌,等.考虑海量异质资源分区聚类的输配电网协同调度策略[J].电力系统保护与控制,2024,52(22):82-92.[点击复制] |
| SHANG Yabin,WANG Xiaojun,,et al.Cooperative scheduling strategy for transmission and distribution networks considering partitioned clustering of massive heterogeneous resources[J].Power System Protection and Control,2024,52(22):82-92[点击复制] |
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| 摘要: |
| 海量异质灵活性资源大规模并网，输配电网灵活性资源时间、空间、容量及响应速度之间存在差异。为应对如何高效挖掘海量异质灵活性资源调节能力的难题，提出了考虑海量资源分区聚类的输配电网协同调度策略。首先，考虑输配电网灵活性资源差异化特性，建立了高载能负荷和民用负荷调节模型。接着，基于数模融合理念，提出了面向海量异质资源的分区聚类可调节潜力评估方法及指标。然后，考虑输配资源调节模型差异化以及新能源预测偏差，建立了日前-日内多时间尺度输配电网需求响应策略模型。最后，在改进的输配系统中进行了仿真验证，结果表明所提策略能够协调输配电网海量异质资源参与需求响应，并有效提高系统运行经济性，削峰率达到了38.3%，弃风弃光率降低了11.39%。 |
| 关键词: 海量资源 需求响应 数模融合 可调节潜力 多时间尺度 输配协同 |
| DOI：10.19783/j.cnki.pspc.240116 |
| 投稿时间：2024-01-25修订日期：2024-05-20 |
| 基金项目:国家重点研发计划项目资助(2022YFB2403400) |
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| Cooperative scheduling strategy for transmission and distribution networks considering partitioned clustering of massive heterogeneous resources |
| SHANG Yabin,WANG Xiaojun,,LIU Zhao,MA Wei,XU Zekai,SI Fangyuan |
| (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China) |
| Abstract: |
| Massive heterogeneous flexibility resources are connected to the grid on a large scale, and there are differences between transmission and distribution network flexibility resources in terms of time, space, capacity, and responsiveness. To cope with the challenge of how to efficiently tap the regulation capability of such resources, a cooperative scheduling strategy for transmission and distribution networks considering partitional clustering of massive resources is proposed. First, considering the differentiated characteristics of the flexibility resources of the transmission and distribution network, a model for regulating high energy-carrying loads and civil loads is established. Next, based on the concept of digital-analog fusion, an assessment method and index of adjustable potential of partitional clustering for massive heterogeneous resources are proposed. Then, a day-ahead-intraday multi-timescale transmission and distribution network demand response strategy model is developed, taking into account transmission and distribution resource regulation model differentiation as well as the new energy prediction bias. Finally, simulation verification is carried out on the improved transmission and distribution system, and the results show that the proposed strategy can coordinate the massive heterogeneous resources of the transmission and distribution network to participate in the demand response, and effectively improve the system operational economy, with the peak shaving rate reaching 38.3%, and the wind and light abandonment rate reduced by 11.39%. |
| Key words: massive resource demand response digital and analog fusion adjustable potential multi-time scale cooperation of transmission and distribution |
