Optimized Scheduling of Virtual Power Plants (VPPs) and Coordinated Management with Diverse Energy Resources

This paper introduces an integrated energy management solution, which aims to achieve the coordinated operation of various power generation resources within the framework of a virtual power plant. Based on user demands, grid electricity prices, and the charging and discharging behaviors of energy storage systems and electric vehicles, a mathematical model has been developed in this paper to optimize the dispatching, with the main objective of minimizing the operating costs. The model incorporates constraints related to electric vehicle charging/discharging, energy storage power scheduling, load shedding strategies, and micro gas turbine power scheduling. Numerical simulations are employed to determine the optimal energy sharing and power dispatch strategies, demonstrating that the proposed strategy significantly reduces operational costs and enhances energy efficiency in the power system.

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Publication Details

Published
2025-04-15
DOI
https://doi.org/10.1109/acpee64358.2025.11041693
Primary Topic
Smart Grid Energy Management
Type
article
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Optimized Scheduling of Virtual Power Plants (VPPs) and Coordinated Management with Diverse Energy Resources

Yan Xu, Keyi Kang, Jin Qin, Wenqin Song et al.
Smart Grid Energy Management
article

Optimized Scheduling of Virtual Power Plants (VPPs) and Coordinated Management with Diverse Energy Resources

Yan Xu, Keyi Kang, Jin Qin, Wenqin Song, Heping Jia, Kan Zhang
article en

Abstract

This paper introduces an integrated energy management solution, which aims to achieve the coordinated operation of various power generation resources within the framework of a virtual power plant. Based on user demands, grid electricity prices, and the charging and discharging behaviors of energy storage systems and electric vehicles, a mathematical model has been developed in this paper to optimize the dispatching, with the main objective of minimizing the operating costs. The model incorporates constraints related to electric vehicle charging/discharging, energy storage power scheduling, load shedding strategies, and micro gas turbine power scheduling. Numerical simulations are employed to determine the optimal energy sharing and power dispatch strategies, demonstrating that the proposed strategy significantly reduces operational costs and enhances energy efficiency in the power system.

North China Electric Power University (CN), State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Smart Grid Energy Management
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