Decision-Making Model for Electricity and Heat Cotrading in Community Clusters Considering Low-Carbon Priorities

Nowadays, new energy is widely used for power supply. Communities have become the major subject of urban energy consumption. Due to the urban economy and low-carbon energy needs, integrated community energy with electric-thermal synergy is widely used. This paper proposes a community scheduling strategy. Firstly, a low-carbon prioritized coordinated trading model is proposed for electricity and heat in community clusters. Secondly, a model of community group electrothermal trading is proposed. Thirdly, the optimized results are calculated through the Community Cluster Electrothermal Transaction Model. Finally, a decision-making model is developed for electric-thermal collaborative trading in community clusters. The results of this paper show that the community cluster electricity and heat co-trading decision-making model meets both equity and low-carbon needs. The proximity of regional community clusters is enabled to resources. And the flexibility is increased in regional energy markets. As a result, the scheduling costs are reduced effetely.

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Published
2024-11-22
DOI
https://doi.org/10.1109/ifeea64237.2024.10878793
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Decision-Making Model for Electricity and Heat Cotrading in Community Clusters Considering Low-Carbon Priorities

Zhiwei Yao, Yihua Ma, Dongming Li, Jia Cui et al.
Integrated Energy Systems Optimization
article

Decision-Making Model for Electricity and Heat Cotrading in Community Clusters Considering Low-Carbon Priorities

Zhiwei Yao, Yihua Ma, Dongming Li, Jia Cui, Zhe Luo, Anni Wang, Zhousi Li, Xuanshuo Zhang
article en

Abstract

Nowadays, new energy is widely used for power supply. Communities have become the major subject of urban energy consumption. Due to the urban economy and low-carbon energy needs, integrated community energy with electric-thermal synergy is widely used. This paper proposes a community scheduling strategy. Firstly, a low-carbon prioritized coordinated trading model is proposed for electricity and heat in community clusters. Secondly, a model of community group electrothermal trading is proposed. Thirdly, the optimized results are calculated through the Community Cluster Electrothermal Transaction Model. Finally, a decision-making model is developed for electric-thermal collaborative trading in community clusters. The results of this paper show that the community cluster electricity and heat co-trading decision-making model meets both equity and low-carbon needs. The proximity of regional community clusters is enabled to resources. And the flexibility is increased in regional energy markets. As a result, the scheduling costs are reduced effetely.

Shenyang Institute of Engineering (CN), Shenyang University of Technology (CN), Liaoning Shihua University (CN), Shanghai Electric (China) (CN)
Openalex Percentile: Top 75%
Integrated Energy Systems Optimization
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Decision-Making Model for Electricity and Heat Cotrading in Community Clusters Considering Low-Carbon Priorities — Zhiwei Yao, Yihua Ma, et al. · (2024) | TGRS Research Map | TGRS