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Publishing Language: Chinese | Open Access

Dynamic frequency aggregation control strategy of meshed distribution virtual power plant

Xiaolong XIAO1,2Mingming SHI1,2Fan WU1,2Xiaoxing LU1,2Ning GUO1,2Jiahao GUO1,2
Jiangsu Electric Power Test Research Institute Co., Ltd., Nanjing 211103, China
State Grid Jiangsu Electric Power Co., Ltd. Research Institute, Nanjing 211103, China
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Abstract

To fully leverage the characteristics of various distributed resources and the controllability of distribution grids for delivering higher-performance and dynamic ancillary services, a dynamic frequency aggregation control method for meshed distribution virtual power plants (MVPP) is proposed. Firstly, the overall architecture of MVPP is defined, and a frequency control model capable of aggregating the dynamic characteristics of its internal distributed resources for primary frequency regulation scenarios is established. Subsequently, an adaptive dynamic frequency matching control approach is employed to address the control design challenge of the dynamic frequency aggregation model. The desired characteristics are decomposed through online adaptive approach, and a local feedback controller is designed for each device using an H optimal robust control method to precisely and dynamically match the decomposed desired characteristics for primary frequency regulation. The simulation results verify the effectiveness of the proposed control method, demonstrating that it can significantly improve the primary frequency regulation characteristics of the system through the complementation of various resources under scenarios such as load disturbance and new energy output fluctuations. The proposed strategy offers a new solution for spatially distributed aggregation units to participate in dynamic frequency regulation auxiliary services.

CLC number: TM73 Document code: A

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Electric Power Engineering Technology
Pages 80-92

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Cite this article:
XIAO X, SHI M, WU F, et al. Dynamic frequency aggregation control strategy of meshed distribution virtual power plant. Electric Power Engineering Technology, 2026, 45(2): 80-92. https://doi.org/10.12158/j.2096-3203.2026.02.009

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Received: 07 June 2025
Revised: 13 September 2025
Published: 28 February 2026
© After publication of the article, the authors shall own the right of signature. 2026.

The authors can use or share the published article under the Attribution-Non Commercial 4.0 International (CC BY-NC 4.0) license.