Research On Optimal Allocation Of Energy Storage In Large-scale New Energy Transmission Bases

For the large-scale new energy transmission system containing wind, fire and thermal storage, the optimal allocation of lithium battery energy storage capacity is of great significance to improve the system's new energy utilisation rate and operation economy. In this paper, we propose an optimal allocation method of energy storage capacity based on a time series production simulation of 8760 hours in a year, aiming at minimising the required planned energy storage capacity, taking into account the confidence probability of outgoing transmission, the proportion of grid-sink power and the operational constraints of the energy storage system, and inputting the theoretical output sequence of wind and fire storage for the whole year, so as to achieve the optimal allocation of storage capacity in terms of economy, safety and cleanliness through the model solving. The effectiveness of the time-sequence production simulation method is verified, and the specific impacts of factors such as grid-sink power volume ratio and outgoing confidence probability on the allocation results are quantified.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/acfpe63443.2024.10801035
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.17

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Research On Optimal Allocation Of Energy Storage In Large-scale New Energy Transmission Bases

Weiwei Yang, Ziyi Zhang, Bo Wang, Peng Li et al.
1 citations
Power Systems and Renewable Energy
0.17
article

Research On Optimal Allocation Of Energy Storage In Large-scale New Energy Transmission Bases

Weiwei Yang, Ziyi Zhang, Bo Wang, Peng Li, Shujun Liu
article en
1 citations

Abstract

For the large-scale new energy transmission system containing wind, fire and thermal storage, the optimal allocation of lithium battery energy storage capacity is of great significance to improve the system's new energy utilisation rate and operation economy. In this paper, we propose an optimal allocation method of energy storage capacity based on a time series production simulation of 8760 hours in a year, aiming at minimising the required planned energy storage capacity, taking into account the confidence probability of outgoing transmission, the proportion of grid-sink power and the operational constraints of the energy storage system, and inputting the theoretical output sequence of wind and fire storage for the whole year, so as to achieve the optimal allocation of storage capacity in terms of economy, safety and cleanliness through the model solving. The effectiveness of the time-sequence production simulation method is verified, and the specific impacts of factors such as grid-sink power volume ratio and outgoing confidence probability on the allocation results are quantified.

China Three Gorges Corporation (China) (CN)
China Three Gorges Corporation
Affordable and clean energy
Openalex Percentile: Top 41%
Power Systems and Renewable Energy
0.17
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