MULTI-TYPE POWER SUPPLY PLANNING OF POWER SYSTEM CONSIDERING VIRTUAL POWER PLANTS

Luo Peng; Wang Sheng; Liu Chensong; Ouyang Lilin

doi:10.19912/j.0254-0096.tynxb.2024-0886

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 744-755. DOI: 10.19912/j.0254-0096.tynxb.2024-0886

MULTI-TYPE POWER SUPPLY PLANNING OF POWER SYSTEM CONSIDERING VIRTUAL POWER PLANTS

Luo Peng^1,2, Wang Sheng², Liu Chensong², Ouyang Lilin³

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Abstract

Access to virtual power plants that aggregate a large number of dispersed demand-side resources provides new possibilities for the efficient development of power systems in the future. The flexible load in the virtual power plant can participate in the demand response and bring this flexibility into the power system planning framework, which can effectively reduce the system planning and operation costs and promote the consumption of renewable energy. Therefore, this paper proposes a multi-type power planning method considering virtual power plant empowerment. Firstly, the adjustable potential model of virtual power plant is established for different types of virtual power plants such as electric vehicles, air conditioning loads and industrial loads. Secondly, considering the operation constraints of virtual power plant for power planning, a power planning model considering virtual power plant empowerment is constructed. Furthermore, considering the uncertain factors such as the prediction error of new energy and the characterization error of the response potential of virtual power plants, the interval optimization method is adopted to deal with it. Then, the interval programming model is definitely transformed by interval order relation and interval possibility degree, and an improved benders decomposition algorithm is proposed to realize the efficient solution of the transformed model. Finally, an example is given to verify the effectiveness of the proposed power planning model and method.

Key words

electric power system planning / virtual power plants / demand side management / interval optimization / benders decomposition

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Luo Peng, Wang Sheng, Liu Chensong, Ouyang Lilin. MULTI-TYPE POWER SUPPLY PLANNING OF POWER SYSTEM CONSIDERING VIRTUAL POWER PLANTS[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 744-755 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0886

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