Research on Enhancing the Capacity Credit of PV Considering Energy Storage

The correlation between source and load is a key impact on capacity credit of photovoltaic (PV). This paper proposes measures to improve the capacity credit of PV by energy storage systems. Firstly, the charge-discharge model of the BESS is established based on its operating characteristics and boundary limitations. Secondly, the wavelet packet decomposition method for optimal allocation of BESS is analyzed. Thirdly, the improvement degree of PV capacity credit under three different BESS control strategies is proposed. Finally, the proposed method is verified through the simulation analysis. Studying the improvement of energy storage on the capacity credit of PV can provide an important approach for the grid connection and consumption of PV power generation.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/ceect63656.2024.10898180
Primary Topic
Power Systems and Renewable Energy
Type
article
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Research on Enhancing the Capacity Credit of PV Considering Energy Storage

Guifen Jiang, Xiuli Wang, Jiayin Xu, Qianlong Zhu et al.
Power Systems and Renewable Energy
article

Research on Enhancing the Capacity Credit of PV Considering Energy Storage

Guifen Jiang, Xiuli Wang, Jiayin Xu, Qianlong Zhu, Yuming Shen
article en

Abstract

The correlation between source and load is a key impact on capacity credit of photovoltaic (PV). This paper proposes measures to improve the capacity credit of PV by energy storage systems. Firstly, the charge-discharge model of the BESS is established based on its operating characteristics and boundary limitations. Secondly, the wavelet packet decomposition method for optimal allocation of BESS is analyzed. Thirdly, the improvement degree of PV capacity credit under three different BESS control strategies is proposed. Finally, the proposed method is verified through the simulation analysis. Studying the improvement of energy storage on the capacity credit of PV can provide an important approach for the grid connection and consumption of PV power generation.

Anhui University (CN), State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 68%
Power Systems and Renewable Energy
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