电力系统保护与控制2024，Vol.52Issue(22)：82-92,11.DOI:10.19783/j.cnki.pspc.240116
考虑海量异质资源分区聚类的输配电网协同调度策略
Cooperative scheduling strategy for transmission and distribution networks considering partitioned clustering of massive heterogeneous resources
摘要
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%.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Key words
massive resource/demand response/digital and analog fusion/adjustable potential/multi-time scale/cooperation of transmission and distribution引用本文复制引用
尚亚彬,王小君,刘曌,马伟,许泽凯,司方远..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):82-92,11.基金项目
This work is supported by the National Key Research and Development Program of China(No.2022YFB2403400). 国家重点研发计划项目资助(2022YFB2403400) （No.2022YFB2403400）
