Residential College | false |
Status | 即將出版Forthcoming |
Low Carbon Demand Response for Industrial Loads Considering Production Characteristics | |
Pan, Zhen1; Lin, Xin1; Liu, Xi2; Shang, Nan2; Zeng, Jincan2; He, Gengsheng2; Qi, Taoyi3; Hui, Hongxun3 | |
2024 | |
Source Publication | 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2024 |
Pages | 65-70 |
Abstract | Industrial loads present significant potential as demand response resources for enhancing the regulation flexibility of power systems. However, their unique production characteristics and low carbon emissions pose critical challenges to fully exploiting this potential. To address these challenges, this paper proposes a low-carbon demand response dispatch strategy tailored to industrial loads, considering their specific production characteristics. First, we summarize these production characteristics as minimum operation supply, minimum operation period, and coupled operation requirements. Next, we introduce dynamic carbon emission factors to capture real-time emission intensity. Based on this, we formulate an optimization model for low-carbon demand response that coordinates industrial loads to provide regulation capacities while satisfying their production needs and minimizing carbon emissions. Finally, case studies using realistic industrial load data demonstrate the advantages of the proposed method in enhancing demand response effectiveness and reducing carbon emissions. |
Keyword | carbon emission reduction demand response industrial loads production characteristics |
DOI | 10.1109/SmartGridComm60555.2024.10738087 |
URL | View the original |
Language | 英語English |
Scopus ID | 2-s2.0-85210804096 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | University of Macau |
Affiliation | 1.Guangxi Power Grid Co., Ltd, Power Grid Planning Research Center, Nanning, China 2.China Southern Power Grid Co., Ltd., Energy Development Research Institute, Guangzhou, China 3.University of Macau, State Key Labrotary of Internet of Things for Smart City, Macao |
Recommended Citation GB/T 7714 | Pan, Zhen,Lin, Xin,Liu, Xi,et al. Low Carbon Demand Response for Industrial Loads Considering Production Characteristics[C], 2024, 65-70. |
APA | Pan, Zhen., Lin, Xin., Liu, Xi., Shang, Nan., Zeng, Jincan., He, Gengsheng., Qi, Taoyi., & Hui, Hongxun (2024). Low Carbon Demand Response for Industrial Loads Considering Production Characteristics. 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2024, 65-70. |
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