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Publishing Language: Chinese

Reactive Power Optimization Operation of Virtual Power Plant Considering Reactive Power Potential of New Energy Sources

Zefei TAO1, Min LIU1, Wenxia LIU2
College of Electrical Engineering, Guizhou University, Guiyang 550025, Guizhou Province, China
Power Grid Planning & Research Center, Guizhou Power Grid Co., Ltd., Guiyang 550001, Guizhou Province, China
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Abstract

With the in-depth promotion of the strategy of "carbon peak and carbon neutrality", virtual power plant (VPP) has shown significant advantages in integrating and dispatching new energy. It is one of the effective means to improve the operation economy of VPP to deeply tap the huge potential of new energy in the field of reactive power support. Firstly, a set of new energy reactive power capacity evaluation system considering active power output and inverter constraints was constructed. Secondly, in order to improve the solving speed of the reactive power optimization model, according to the nonlinear characteristics of active network loss and power flow constraints, an active network loss estimation method based on power flow iteration and a power flow linearization method based on variable space optimization selection were proposed. A VPP linear power flow reactive power optimization model considering the reactive power potential of new energy sources and based on variable space optimization selection was constructed. Finally, the improved IEEE 33-node active distribution system was taken as an example to verify the effectiveness of the proposed model. The results show that when VPP makes full use of the reactive power support ability of new energy, the system voltage deviation is reduced by 0.673 pu, and the operating cost is reduced by 1254.9 yuan.

CLC number: TK01; TM73 Document code: A

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Distributed Energy
Pages 31-41

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Cite this article:
TAO Z, LIU M, LIU W. Reactive Power Optimization Operation of Virtual Power Plant Considering Reactive Power Potential of New Energy Sources. Distributed Energy, 2025, 10(3): 31-41. https://doi.org/10.16513/j.2096-2185.DE.25100037

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Received: 05 February 2025
Published: 01 June 2025
© Editorial Department of Distributed Energy Journal