The two-layer optimization model of virtual power plants based on the electric energy - peak shaving market

This paper aims at the current participation status and insufficient economic viability of virtual power plants (VPP) in the electric energy market and peak shaving market, and establishes a two-layer optimization model for virtual power plants to participate in the joint electric energy-peak shaving market. The upper-level model aims to minimize the clearing cost of the electricity market, while the lower-level model aims to minimize the total internal cost of the virtual power plant, and is solved through iterative optimization. Through the analysis of numerical examples, the validity and scientificity of the model were verified, providing a theoretical basis for the optimal quotation and dispatching plan of virtual power plants in the market, which is conducive to improving the economy and market participation enthusiasm of virtual power plants.

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Publication Details

Journal
IET conference proceedings.
Published
2025-09-01
DOI
https://doi.org/10.1049/icp.2025.2813
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

The two-layer optimization model of virtual power plants based on the electric energy - peak shaving market

Tian Xie, Pang Qihua, Wan Yifei
IET conference proceedings.
Power Systems and Renewable Energy
article

The two-layer optimization model of virtual power plants based on the electric energy - peak shaving market

Tian Xie, Pang Qihua, Wan Yifei
article en

Abstract

This paper aims at the current participation status and insufficient economic viability of virtual power plants (VPP) in the electric energy market and peak shaving market, and establishes a two-layer optimization model for virtual power plants to participate in the joint electric energy-peak shaving market. The upper-level model aims to minimize the clearing cost of the electricity market, while the lower-level model aims to minimize the total internal cost of the virtual power plant, and is solved through iterative optimization. Through the analysis of numerical examples, the validity and scientificity of the model were verified, providing a theoretical basis for the optimal quotation and dispatching plan of virtual power plants in the market, which is conducive to improving the economy and market participation enthusiasm of virtual power plants.

IET conference proceedings.Vol. 2025(21)
Creative Technology (Singapore) (SG), Guangxi Science and Technology Department (CN), Power Grid Corporation (India) (IN)
Openalex Percentile: Top 74%
Power Systems and Renewable Energy
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The two-layer optimization model of virtual power plants based on the electric energy - peak shaving market — Tian Xie, Pang Qihua, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS