云端负荷库支撑的配电网可控资源优化调度

鲍雨; 夏祥武; 高久国; 陆洋; 王梦瑶

doi:10.19912/j.0254-0096.tynxb.2023-1545

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (1) : 557-566. DOI: 10.19912/j.0254-0096.tynxb.2023-1545

云端负荷库支撑的配电网可控资源优化调度

鲍雨¹, 夏祥武¹, 高久国², 陆洋², 王梦瑶¹

作者信息 +

OPTIMAL DISPATCH OF CONTROLLABLE RESOURCES IN DISTRIBUTION NETWORK SUPPORTED BY CLOUD LOAD LIBRARY

Bao Yu¹, Xia Xiangwu¹, Gao Jiuguo², Lu Yang², Wang Mengyao¹

Author information +

文章历史 +

摘要

提出一种云端负荷库支撑的低压配电网可控资源优化调度框架。首先,通过数据驱动的方法挖掘变压器负载、用户负荷与优化调度模型参数间的因果关系,构建具备参数识别功能的云端负荷库;其次,在负荷库支撑下识别目标配电网的优化调度模型参数,建立优化调度模型。然后,求解模型得到目标配电网中可控资源集群的运行准线,并发送至边端管控单元调控设备运行。最后,在实际的低压配电网中进行测试,证明所提框架的有效性和实用性。

Abstract

A controllable resource optimization dispatching framework for low-voltage distribution network supported by cloud load library is proposed. First,use a data-driven method to mine the causal relationship between transformer load,user load and optimal dispatch model parameters,and build a cloud load library with parameter identification function; secondly,identify the optimal dispatch model parameters of the target distribution network with the support of the load library,establish an optimal scheduling model. Then,the model is solved to obtain the operating alignment of the controllable resource cluster in the target distribution network,and is sent to the edge management and control unit to regulate the operation of the equipment. Finally,tests are conducted in an actual low-voltage distribution network to prove the effectiveness and practicability of the proposed framework.

导出引用

鲍雨, 夏祥武, 高久国, 陆洋, 王梦瑶. 云端负荷库支撑的配电网可控资源优化调度[J]. 太阳能学报. 2025, 46(1): 557-566 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1545

Bao Yu, Xia Xiangwu, Gao Jiuguo, Lu Yang, Wang Mengyao. OPTIMAL DISPATCH OF CONTROLLABLE RESOURCES IN DISTRIBUTION NETWORK SUPPORTED BY CLOUD LOAD LIBRARY[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 557-566 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1545

中图分类号： TM73

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