{"id":3113,"date":"2026-04-09T23:49:01","date_gmt":"2026-04-09T15:49:01","guid":{"rendered":"https:\/\/iweb20wp-b205b.url.tku.edu.tw\/jase\/?post_type=tkuisotope&p=3113"},"modified":"2026-06-10T14:43:03","modified_gmt":"2026-06-10T06:43:03","slug":"edge-distributed-autonomous-control-of-massive-ac-dc-renewable-energy-cluster","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=edge-distributed-autonomous-control-of-massive-ac-dc-renewable-energy-cluster","title":{"rendered":"Edge Distributed Autonomous Control of Massive AC\/DC Renewable Energy Cluster"},"content":{"rendered":"\n
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<\/i> 2024<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 27, Issue 3<\/a><\/p>\n<\/div>\n\n\n\n

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Junni Su1<\/sup>, Fengchao Chen1<\/sup>, Xin Zhang1<\/sup>, Lide Zhou1<\/sup>, Yipeng He1<\/sup>, and Hua Zheng2<\/sup><\/i><\/a><\/p>\n\n\n\n

1<\/sup>Dongguan Power Supply Bureau of Guangdong Power Grid Co., Ltd<\/p>\n\n\n\n

2<\/sup>School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102208, China<\/p>\n<\/div>\n\n\n\n

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Received: November 29, 2022
Accepted:\u00a0April 15, 2023
Publication Date:\u00a0April 9, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

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AC\/DC hybrid microgrid groups structure<\/p>\n<\/div>\n<\/div>\n\n\n\n

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

Download Citation:\u00a0 BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202403_27(3).0013<\/a>\u00a0\u00a0<\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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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.<\/p>\n\n\n\n

Keywords:\u00a0AC\/DC hybrid microgrid groups, Power mapping factor, Distributed control, Optimized control<\/em><\/p>\n\n\n\n

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