OPTIMAL SCHEDULING MODEL OF VIRTUAL POWER PLANTS BASED ON AGGREGATED ADMITTANCE DERIVATIVE OPERATION

Ge Xiaolin; Li Yiling; Cao Xudan; Miu Yuanmin; Deng Lirong

doi:10.19912/j.0254-0096.tynxb.2023-1490

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (1) : 522-530. DOI: 10.19912/j.0254-0096.tynxb.2023-1490

OPTIMAL SCHEDULING MODEL OF VIRTUAL POWER PLANTS BASED ON AGGREGATED ADMITTANCE DERIVATIVE OPERATION

Ge Xiaolin^1,2, Li Yiling³, Cao Xudan^1,3, Miu Yuanmin^1,3, Deng Lirong^1,2

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Abstract

An optimization model for VPP based on aggregated admittance derivative operation is proposed. Firstly, a power aggregation model of VPP is established through clustering induction to aggregate the power output and reduce the scale of uncertainty for DRs based on the network loss, successfully addressing the difficulty of optimization model calculation. Secondly, a method based on multi-parametric programming and total probability principle is proposed for solving the probability distribution of the dispatch region of VPP, quantitatively analyzing the relationship between the random power output and dispatch region, accurately portraying the dispatch region of VPP. Finally, the joint optimal scheduling model of VPP and the main network is constructed by means of the quantile conversion method of Newton iteration to address the problem that the probability distribution of the dispatch region cannot be directly involved in the optimal scheduling of the main network. The validation example shows that the proposed model and algorithm improve the efficiency of solving the dispatch region by reducing the computational scale, and provide a new approach for the safe and stable operation of the joint system of VPP with the main network.

Key words

virtual power plants / uncertainty / renewable energy / aggregation / multi-parametric programming / distributed energy

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Ge Xiaolin, Li Yiling, Cao Xudan, Miu Yuanmin, Deng Lirong. OPTIMAL SCHEDULING MODEL OF VIRTUAL POWER PLANTS BASED ON AGGREGATED ADMITTANCE DERIVATIVE OPERATION[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 522-530 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1490

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