Multi-objective Optimization Energy-saving Control Method for Integrated Energy System Based on Time Series

The use of a single objective function to optimize energy-saving control for integrated energy systems results in high energy consumption and poor energy-saving effect. Therefore, a multi-objective optimization energy-saving control method for integrated energy systems based on time series is designed. The time series analysis of the integrated energy system data is carried out to determine the system operation law and energy demand characteristics. A multi-objective optimization energy-saving control model is constructed based on the results of time series analysis. The experimental results show that after the application of the multi-objective optimization energy-saving control method for the integrated energy system, the total carbon emissions are significantly reduced and the fluctuation is small. The average output error rate of the unit is 4.5%~5.2%. The equipment operation strategy can be dynamically adjusted according to the real-time situation of the system, and it has obvious advantages in energy saving, emission reduction and improving energy utilization efficiency.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/etee66180.2025.11193009
Primary Topic
Smart Grid and Power Systems
Type
article
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Multi-objective Optimization Energy-saving Control Method for Integrated Energy System Based on Time Series

Han Hao, Shikang Zhang, Zhi Li, Yunlong Bai et al.
Smart Grid and Power Systems
article

Multi-objective Optimization Energy-saving Control Method for Integrated Energy System Based on Time Series

Han Hao, Shikang Zhang, Zhi Li, Yunlong Bai, Pin Wang
article en

Abstract

The use of a single objective function to optimize energy-saving control for integrated energy systems results in high energy consumption and poor energy-saving effect. Therefore, a multi-objective optimization energy-saving control method for integrated energy systems based on time series is designed. The time series analysis of the integrated energy system data is carried out to determine the system operation law and energy demand characteristics. A multi-objective optimization energy-saving control model is constructed based on the results of time series analysis. The experimental results show that after the application of the multi-objective optimization energy-saving control method for the integrated energy system, the total carbon emissions are significantly reduced and the fluctuation is small. The average output error rate of the unit is 4.5%~5.2%. The equipment operation strategy can be dynamically adjusted according to the real-time situation of the system, and it has obvious advantages in energy saving, emission reduction and improving energy utilization efficiency.

State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 71%
Smart Grid and Power Systems
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Multi-objective Optimization Energy-saving Control Method for Integrated Energy System Based on Time Series — Han Hao, Shikang Zhang, et al. · (2025) | TGRS Research Map | TGRS