Research on the optimal allocation of regionally integrated energy systems including multiple energy storage

Abstract The current rapid development of renewable energies, represented by wind energy, poses an enormous challenge for the planning and configuration of integrated energy systems. In this article, a method for optimal allocation of integrated district energy system considering multiple energy storage is proposed, an optimization model of the configuration of the integrated energy system is established to minimize the cost of the integrated system, and the model is solved by using the HJ-PSO optimization algorithm to obtain the optimal energy configuration of the system. The results show that integrated energy systems with multiple energy storage equipment can effectively meet energy demand and the total economic cost of the system can be reduced by 10.4% compared with integrated power systems without energy storage devices, thus achieving better economic and environmental benefits.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-08-01
DOI
https://doi.org/10.1088/1742-6596/2823/1/012019
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
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Research on the optimal allocation of regionally integrated energy systems including multiple energy storage

Zhenlan Dou, Chunyan Zhang, Chen Sun, Kuan Jiang et al.
Journal of Physics Conference Series
Integrated Energy Systems Optimization
article

Research on the optimal allocation of regionally integrated energy systems including multiple energy storage

Zhenlan Dou, Chunyan Zhang, Chen Sun, Kuan Jiang, Zhenrui Yang, Bin Cai, Baihan Zhang, Xin Zhou
article en

Abstract

Abstract The current rapid development of renewable energies, represented by wind energy, poses an enormous challenge for the planning and configuration of integrated energy systems. In this article, a method for optimal allocation of integrated district energy system considering multiple energy storage is proposed, an optimization model of the configuration of the integrated energy system is established to minimize the cost of the integrated system, and the model is solved by using the HJ-PSO optimization algorithm to obtain the optimal energy configuration of the system. The results show that integrated energy systems with multiple energy storage equipment can effectively meet energy demand and the total economic cost of the system can be reduced by 10.4% compared with integrated power systems without energy storage devices, thus achieving better economic and environmental benefits.

Journal of Physics Conference SeriesVol. 2823(1)
Nanchang University (CN), Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 90%
Integrated Energy Systems Optimization
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