Edge Distributed Autonomous Control of Massive AC/DC Renewable Energy Cluster

Junni  Su; Fengchao  Chen; Xin  Zhang; Lide  Zhou; Yipeng  He; Hua  Zheng

doi:10.6180/jase.202403_27(3).0013

Edge Distributed Autonomous Control of Massive AC/DC Renewable Energy Cluster

Junni Su¹, Fengchao Chen¹, Xin Zhang¹, Lide Zhou¹, Yipeng He¹, Hua Zheng²This email address is being protected from spambots. You need JavaScript enabled to view it.

¹Dongguan Power Supply Bureau of Guangdong Power Grid Co., Ltd

²School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102208, China

Received: November 29, 2022
Accepted: April 15, 2023
Publication Date: September 4, 2023

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202403_27(3).0013

Microgrid and distributed generation are more and more widely used in power systems. In this background, a control strategy based on consistency is proposed in this paper, to improve the optimal regulation ability of the AC/DC hybrid microgrid groups. The control strategy is divided into two levels: control strategy within a subnet and control between microgrid groups. At the level of subnet control, the power mapping factor and secondary adjustment term are introduced into the traditional droop control, to realize the autonomous and stable optimization in the island mode of a single sub microgrid. At the level of inter microgrid groups control strategy, the local control strategy of interlinking converter based on average power mapping factor is constructed, and the compensation term based on consistency is introduced to realize the power optimization operation between different microgrids jointly. Finally, the simulation model is established by Matlab/Simulink to prove the effectiveness of the method.

Keywords: AC/DC hybrid microgrid groups, Power mapping factor, Distributed control, Optimized control

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