Grid-connected Scheduling and Control of Distributed Generations Clusters: Architecture and Key Technologies

被引：0

作者：

Liang Z. ^{[1
]}

Ye C. ^{[2
]}

Liu Z. ^{[3
]}

Li M. ^{[2
]}

Wang P. ^{[2
]}

Cao K. ^{[2
]}

Zhao J. ^{[3
]}

机构：

[1] State Grid Corporation of China, Xicheng District, Beijing

[2] State Grid Hubei Electric Power Co., Ltd., Wuhan

[3] College of Energy and Electrical Engineering, Hohai University, Nanjing

来源：

Dianwang Jishu/Power System Technology | 2021年 / 45卷 / 10期

关键词：

Autonomous operation within the clusters; Cloud-network-edge-terminal; Coordination among clusters; Distributed generations clusters; Power grid scheduling and control;

D O I：

10.13335/j.1000-3673.pst.2020.2236

中图分类号：

学科分类号：

摘要：

The grid connection of large-scale distributed generations represented by photovoltaic and wind power brings challenges to the safe and reliable operation of the power grid. The idea of hierarchical coordination design based on the Internet of Things becomes the novel direction of large-scale distributed generations cluster technology development. This paper discusses the architecture and key technologies of the scheduling and control of distributed generations clusters according to the idea of "cloud-network-edge-terminal" design. Firstly, the grid-connected architecture of the distributed generations clusters under the concept of "cloud- network-edge-terminal" design is expounded. The relationships between each level are then analyzed, and the specific functions of each link of the "cloud-network-edge-terminal" design are combed and discussed emphatically. Next, the key technologies under the framework are summarized including the dynamic division and the coordinated optimization of clusters, the multi-source data fusion and processing, the clusters equivalent modeling, and the autonomous operation within the clusters, and the further research technical directions are discussed. This design can achieve the efficient consumption of large-scale distributed generations and improve the ability to participate in the scheduling control of the power grid interaction. © 2021, Power System Technology Press. All right reserved.

引用

页码：3791 / 3802

页数：11

共 57 条

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