Stochastic Optimization Scheduling for Virtual Power Plants Considering Photovoltaic and Load Uncertainties

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 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
2025-03-28
DOI
https://doi.org/10.1109/aeees64634.2025.11020293
Primary Topic
Smart Grid Energy Management
Type
article
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article

Stochastic Optimization Scheduling for Virtual Power Plants Considering Photovoltaic and Load Uncertainties

Junmei Yin, Zheng Han, Qixiang Wang, Hui Wang et al.
Smart Grid Energy Management
article

Stochastic Optimization Scheduling for Virtual Power Plants Considering Photovoltaic and Load Uncertainties

Junmei Yin, Zheng Han, Qixiang Wang, Hui Wang, Kan Zhang, Ying Jin
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 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), Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 89%
Smart Grid Energy Management
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Stochastic Optimization Scheduling for Virtual Power Plants Considering Photovoltaic and Load Uncertainties — Junmei Yin, Zheng Han, et al. · (2025) | TGRS Research Map | TGRS