Different Types of Energy Storage Capacity Optimization Allocation Strategies in Virtual Power Plant Considering Dynamic TOU and Conditional Value at Risk

Due to the intermittency and volatility of photovoltaic(PV) power generation, as well as the reasonable allocation of various user-side energy storage system(ESS), a user-side ESS capacity allocation model in Virtual Power Plant (VPP) considering dynamic time-of-use price (DTOUP) and conditional value at risk (CVaR) was proposed. Firstly, to improve the flexibility of ESS on the user side, the dynamic TOU price is adopted. Secondly, the uncertainty of PV output is dealt with according to the theory of ESS. Finally, a user-side ESS capacity optimization configuration model in VPP is constructed. The results show that the proposed strategy can effectively realize the optimal allocation of ESS for different types of loads, so as to improve the utilization rate of ESS capacity at the user side.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1109/aeees64634.2025.11019711
Primary Topic
Power Systems and Renewable Energy
Type
article
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Different Types of Energy Storage Capacity Optimization Allocation Strategies in Virtual Power Plant Considering Dynamic TOU and Conditional Value at Risk

Yupeng Huang, C. Xu, Juan Zuo, Tao Xu et al.
Power Systems and Renewable Energy
article

Different Types of Energy Storage Capacity Optimization Allocation Strategies in Virtual Power Plant Considering Dynamic TOU and Conditional Value at Risk

Yupeng Huang, C. Xu, Juan Zuo, Tao Xu, Wenbo Wang, Yu Ji
article en

Abstract

Due to the intermittency and volatility of photovoltaic(PV) power generation, as well as the reasonable allocation of various user-side energy storage system(ESS), a user-side ESS capacity allocation model in Virtual Power Plant (VPP) considering dynamic time-of-use price (DTOUP) and conditional value at risk (CVaR) was proposed. Firstly, to improve the flexibility of ESS on the user side, the dynamic TOU price is adopted. Secondly, the uncertainty of PV output is dealt with according to the theory of ESS. Finally, a user-side ESS capacity optimization configuration model in VPP is constructed. The results show that the proposed strategy can effectively realize the optimal allocation of ESS for different types of loads, so as to improve the utilization rate of ESS capacity at the user side.

State Grid Corporation of China (China) (CN), Shanghai Jiao Tong University (CN)
Affordable and clean energy
Openalex Percentile: Top 89%
Power Systems and Renewable Energy
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