Residential College | false |
Status | 已發表Published |
Distributionally Robust Negative-Emission Optimal Energy Scheduling for Off-Grid Integrated Electricity-Heat Microgrid | |
Li, Hui1; Wu, Qiuwei2; Yang, Lun3; Zhang, Hongcai1; Jiang, Sufan4 | |
2023-08 | |
Source Publication | IEEE Transactions on Sustainable Energy |
ISSN | 1949-3029 |
Volume | 15Issue:2Pages:803-818 |
Abstract | This article proposes a distributionally robust chanceconstrained (DRCC) negative-emission optimal energy scheduling scheme for the off-grid integrated electricity-heat microgrid (IEHM). A negative-emission operating strategy is designed to regulate the electric power, thermal power, and carbon emission of the off-grid IEHM under uncertainty. The post-combustion carbon capture system (PCCS) and direct air capture (DAC) modeling consider both electric and thermal energy consumption. Besides, the duration of DAC process flow is considered in its model. In the DRCC energy scheduling model for the off-grid IEHM, the negative emission is achieved by scheduling PCCS and DAC, and the negative emission constraint is included considering the uncertainty of carbon emission. The uncertain forecasting errors of wind power are balanced by coordinating the combined heat and power unit and battery storage. DRCC approach under the moment-based ambiguity set is employed to tackle both uncertainties. The DRCC energy scheduling model is reformulated as a tractable mixedinteger second-order cone programming. Evaluation indices are defined from three aspects, i.e., carbon emission, economy, and reserve capacity, to assess the overall performance of the DRCC energy scheduling scheme for the off-grid IEHM. Case studies were carried out on two test systems to validate the effectiveness of the proposed method. Simulation results demonstrate that the off-grid IEHM can achieve negative emission operation while minimizing the energy cost under wind power and carbon emission uncertainty. |
Keyword | Batteries Carbon Dioxide Cogeneration Costs Direct Air Capture Distributionally Robust Chance Constraint Energy Scheduling Fans Integrated Electricity-heat Microgrid Negative Emission Power Systems Uncertainty |
DOI | 10.1109/TSTE.2023.3306360 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Science & Technology - Other Topics ; Engineering ; Energy & Fuels |
WOS Subject | Green & Sustainable Science & Technology ; Energy & Fuels ; Engineering, Electrical & Electronic |
WOS ID | WOS:001194520300020 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 |
Scopus ID | 2-s2.0-85168746908 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Wu, Qiuwei |
Affiliation | 1.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China 2.Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China 3.System Engineering Institute, Xi'an Jiaotong University, Xi'an, China 4.Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA |
First Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Li, Hui,Wu, Qiuwei,Yang, Lun,et al. Distributionally Robust Negative-Emission Optimal Energy Scheduling for Off-Grid Integrated Electricity-Heat Microgrid[J]. IEEE Transactions on Sustainable Energy, 2023, 15(2), 803-818. |
APA | Li, Hui., Wu, Qiuwei., Yang, Lun., Zhang, Hongcai., & Jiang, Sufan (2023). Distributionally Robust Negative-Emission Optimal Energy Scheduling for Off-Grid Integrated Electricity-Heat Microgrid. IEEE Transactions on Sustainable Energy, 15(2), 803-818. |
MLA | Li, Hui,et al."Distributionally Robust Negative-Emission Optimal Energy Scheduling for Off-Grid Integrated Electricity-Heat Microgrid".IEEE Transactions on Sustainable Energy 15.2(2023):803-818. |
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