Optimal Operation Strategy and Evaluation Method for Integrated Electricity and Heating Energy System Considering Demand Response

With increasing energy scarcity and environmental pollution, further enhancing the economic efficiency and low-carbon performance of integrated energy systems is crucial for achieving a low-carbon transition. In this context, an integrated energy optimization operation model that considers comprehensive demand response and carbon tax costs is proposed. Based on this model, a comprehensive evaluation index system is constructed to assess the optimal scheduling scheme of the system from the dimensions of economic efficiency and environmental performance. Then, the AHP-entropy weight method is used to determine the combined weights of each index and calculate the final evaluation results. Finally, the feasibility of the proposed method is verified through simulation case studies.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icpre62586.2024.10768363
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Optimal Operation Strategy and Evaluation Method for Integrated Electricity and Heating Energy System Considering Demand Response

Zhanhu Cai, Lewei Zhu, Kai Hou, Guodong Li et al.
Power Systems and Renewable Energy
article

Optimal Operation Strategy and Evaluation Method for Integrated Electricity and Heating Energy System Considering Demand Response

Zhanhu Cai, Lewei Zhu, Kai Hou, Guodong Li, Zeyu Liu, Li Zhang, Wenqing Cui
article en

Abstract

With increasing energy scarcity and environmental pollution, further enhancing the economic efficiency and low-carbon performance of integrated energy systems is crucial for achieving a low-carbon transition. In this context, an integrated energy optimization operation model that considers comprehensive demand response and carbon tax costs is proposed. Based on this model, a comprehensive evaluation index system is constructed to assess the optimal scheduling scheme of the system from the dimensions of economic efficiency and environmental performance. Then, the AHP-entropy weight method is used to determine the combined weights of each index and calculate the final evaluation results. Finally, the feasibility of the proposed method is verified through simulation case studies.

Tianjin University (CN), Tianjin Research Institute of Electric Science (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 78%
Power Systems and Renewable Energy
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