Optimization of Spatial and Temporal Distribution of Carbon Emissions in a Thermoelectric Coupled System Based on the Cooperative Control Strategy of Electric and Thermal Energy Storage

Aiming at the carbon emission optimization of the thermoelectric coupling system, this paper innovatively designs the electrothermal energy storage collaborative PRO-CIES system, which improves the flexibility of the system through energy storage technology and optimizes the wind energy absorption by using time translation characteristics. We need to combine carbon trading and system constraints to optimize low-carbon economic scheduling. The empirical results show that, compared with the carbon trading model only, the proposed scheme can reduce wind abandonment by 8.12% and carbon emission by 88.27 tons. Compared with the electric energy storage model, the wind curtailation is reduced by 7.04%, and the carbon emission is reduced by 159.3 tons. Although the cost is slightly increased, the wind energy utilization and emission reduction are remarkable, which strongly supports the sustainable development of the energy system.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/ispcem64498.2024.00126
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Optimization of Spatial and Temporal Distribution of Carbon Emissions in a Thermoelectric Coupled System Based on the Cooperative Control Strategy of Electric and Thermal Energy Storage

H.H. Xu, Yi Chai, Jing Peng, Yong Li et al.
1 links
Power Systems and Renewable Energy
article

Optimization of Spatial and Temporal Distribution of Carbon Emissions in a Thermoelectric Coupled System Based on the Cooperative Control Strategy of Electric and Thermal Energy Storage

H.H. Xu, Yi Chai, Jing Peng, Yong Li, Yunfei Tian
article en

Abstract

Aiming at the carbon emission optimization of the thermoelectric coupling system, this paper innovatively designs the electrothermal energy storage collaborative PRO-CIES system, which improves the flexibility of the system through energy storage technology and optimizes the wind energy absorption by using time translation characteristics. We need to combine carbon trading and system constraints to optimize low-carbon economic scheduling. The empirical results show that, compared with the carbon trading model only, the proposed scheme can reduce wind abandonment by 8.12% and carbon emission by 88.27 tons. Compared with the electric energy storage model, the wind curtailation is reduced by 7.04%, and the carbon emission is reduced by 159.3 tons. Although the cost is slightly increased, the wind energy utilization and emission reduction are remarkable, which strongly supports the sustainable development of the energy system.

Shanghai Polytechnic University (CN)
Affordable and clean energy
Openalex Percentile: Top 69%
Power Systems and Renewable Energy
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