Dual-Objective Optimization of Integrated Energy System Dispatch with Energy Efficiency

To improve the integrated energy efficiency of Integrated Energy Systems (IES), a multi-objective optimization model is proposed. First, the energy efficiency of the IES is analyzed across five stages: energy supply, conversion, transmission, storage, and demand. Then, a multi-objective optimization model for the electric-gas-heat-storage IES is established, with the objective functions of minimizing system economic costs and maximizing integrated energy efficiency. Furthermore, to address the non-convex objective function, a linearization transformation is applied, and the ε-constraint method is used to obtain the Pareto front. Finally, the case study is conducted to verify the effectiveness of the proposed model and approach.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991348
Primary Topic
Power Systems and Renewable Energy
Type
article
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Dual-Objective Optimization of Integrated Energy System Dispatch with Energy Efficiency

Yong Sun, Baoju Li, Linjuehao Mei, Yongzhi Zhou et al.
Power Systems and Renewable Energy
article

Dual-Objective Optimization of Integrated Energy System Dispatch with Energy Efficiency

Yong Sun, Baoju Li, Linjuehao Mei, Yongzhi Zhou, Lei Yan, Zuyi Li, Jianguo Huang, Keyi Chen, Dexin Li
article en

Abstract

To improve the integrated energy efficiency of Integrated Energy Systems (IES), a multi-objective optimization model is proposed. First, the energy efficiency of the IES is analyzed across five stages: energy supply, conversion, transmission, storage, and demand. Then, a multi-objective optimization model for the electric-gas-heat-storage IES is established, with the objective functions of minimizing system economic costs and maximizing integrated energy efficiency. Furthermore, to address the non-convex objective function, a linearization transformation is applied, and the ε-constraint method is used to obtain the Pareto front. Finally, the case study is conducted to verify the effectiveness of the proposed model and approach.

Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 62%
Power Systems and Renewable Energy
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