Research on Optimal Configuration Strategy of Regional Power Grid with Wind-Solar-Sodium Sulfur Battery Energy Storage

Addressing the escalating penetration of clean energy sources such as wind and solar power in regional power grids, this paper proposes a configuration model for a wind-solar hybrid power generation system based on sodium-sulfur (Nas) battery energy storage requirements. This model employs optimization techniques to minimize the operational costs of the peak-shaving system. By considering technical constraints of the system and those related to average peak-shaving capabilities, an optimal configuration model for N as batteries is developed, aiming to enhance the peak-shaving capacity of the power system. The CPLEX solver is invoked within the YALMIP toolbox to solve the model, thereby deriving the capacity and power requirements of N as batteries, which facilitate renewable energy dispatch and peak shaving.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/ifeea64237.2024.10878582
Primary Topic
Power Systems and Renewable Energy
Type
article
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Research on Optimal Configuration Strategy of Regional Power Grid with Wind-Solar-Sodium Sulfur Battery Energy Storage

He Li, Ziji Gao, Dianyang Li, M. Zhang et al.
Power Systems and Renewable Energy
article

Research on Optimal Configuration Strategy of Regional Power Grid with Wind-Solar-Sodium Sulfur Battery Energy Storage

He Li, Ziji Gao, Dianyang Li, M. Zhang, Zhibo Zhang, Xiaoyu Li
article en

Abstract

Addressing the escalating penetration of clean energy sources such as wind and solar power in regional power grids, this paper proposes a configuration model for a wind-solar hybrid power generation system based on sodium-sulfur (Nas) battery energy storage requirements. This model employs optimization techniques to minimize the operational costs of the peak-shaving system. By considering technical constraints of the system and those related to average peak-shaving capabilities, an optimal configuration model for N as batteries is developed, aiming to enhance the peak-shaving capacity of the power system. The CPLEX solver is invoked within the YALMIP toolbox to solve the model, thereby deriving the capacity and power requirements of N as batteries, which facilitate renewable energy dispatch and peak shaving.

Shenyang Institute of Computing Technology (China) (CN), Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 69%
Power Systems and Renewable Energy
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