Virtual Power Plant Energy Scheduling Method Considering Energy Storage SOC State

In virtual power plants containing distributed resources such as Photovoltaic Storage Charging, there are problems such as limited capacity of energy storage equipment leading to insufficient adjustable energy and unreasonable power allocation leading to internal voltage exceeding limits. To achieve balanced energy scheduling, a scheduling method considering the State of Charge (SOC) of different energy storage devices is proposed. Firstly, the state of charge of the energy storage device is considered in the droop control strategy, and a SOC model of the energy storage device is constructed; Then, based on the internal load demand of the virtual power plant, the SOC values of different energy storage devices, and the total power output demand of the virtual power plant, establish an energy scheduling objective function; Finally, set constraints to complete the energy scheduling of the virtual power plant. Simulation results have shown that the proposed method can effectively complete energy scheduling and control optimization of energy storage equipment in virtual power plants, and has good robustness.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/icepg63230.2024.10775676
Primary Topic
Power Systems and Renewable Energy
Type
article
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Virtual Power Plant Energy Scheduling Method Considering Energy Storage SOC State

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Virtual Power Plant Energy Scheduling Method Considering Energy Storage SOC State

Wenqing Jia, Jianyu Zhou, Tong Jiang, Man Hu, Yingjiang Ding, Xuesong Zhang, Jing Li, Sujin Qian
article en

Abstract

In virtual power plants containing distributed resources such as Photovoltaic Storage Charging, there are problems such as limited capacity of energy storage equipment leading to insufficient adjustable energy and unreasonable power allocation leading to internal voltage exceeding limits. To achieve balanced energy scheduling, a scheduling method considering the State of Charge (SOC) of different energy storage devices is proposed. Firstly, the state of charge of the energy storage device is considered in the droop control strategy, and a SOC model of the energy storage device is constructed; Then, based on the internal load demand of the virtual power plant, the SOC values of different energy storage devices, and the total power output demand of the virtual power plant, establish an energy scheduling objective function; Finally, set constraints to complete the energy scheduling of the virtual power plant. Simulation results have shown that the proposed method can effectively complete energy scheduling and control optimization of energy storage equipment in virtual power plants, and has good robustness.

North China Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 77%
Power Systems and Renewable Energy
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