Integrated Energy System Flexible Energy Resource Optimal Scheduling Based on Stackelberg Game

The full utilization of flexible energy resources is an important way to improve energy utilization efficiency, promote energy transformation and promote the goal of “dual carbon”. In this paper, carbon emission trading (CET) and green certificate trading (GCT) are incorporated into the low-carbon economic scheduling model with integrated energy system (IES) energy flexible energy resources. In addition, this paper comprehensively considers the profit relationship between operators and energy suppliers, and solves the low-carbon economic scheduling model based on genetic algorithm-mixed integer linear programming (GA-MILP). The simulation experiment analysis shows that the low-carbon economic dispatching scheme in this paper can effectively guarantee the benefits of both operators and energy suppliers, and realize the energy saving and carbon reduction of the system.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icpre62586.2024.10768682
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Integrated Energy System Flexible Energy Resource Optimal Scheduling Based on Stackelberg Game

Yurun Ye, Ang Lu, Zhifeng Li, Wenxin Liu
Integrated Energy Systems Optimization
article

Integrated Energy System Flexible Energy Resource Optimal Scheduling Based on Stackelberg Game

Yurun Ye, Ang Lu, Zhifeng Li, Wenxin Liu
article en

Abstract

The full utilization of flexible energy resources is an important way to improve energy utilization efficiency, promote energy transformation and promote the goal of “dual carbon”. In this paper, carbon emission trading (CET) and green certificate trading (GCT) are incorporated into the low-carbon economic scheduling model with integrated energy system (IES) energy flexible energy resources. In addition, this paper comprehensively considers the profit relationship between operators and energy suppliers, and solves the low-carbon economic scheduling model based on genetic algorithm-mixed integer linear programming (GA-MILP). The simulation experiment analysis shows that the low-carbon economic dispatching scheme in this paper can effectively guarantee the benefits of both operators and energy suppliers, and realize the energy saving and carbon reduction of the system.

Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 80%
Integrated Energy Systems Optimization
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Integrated Energy System Flexible Energy Resource Optimal Scheduling Based on Stackelberg Game — Yurun Ye, Ang Lu, et al. · (2024) | TGRS Research Map | TGRS