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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 PublicationIEEE Transactions on Sustainable Energy
ISSN1949-3029
Volume15Issue: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.

KeywordBatteries Carbon Dioxide Cogeneration Costs Direct Air Capture Distributionally Robust Chance Constraint Energy Scheduling Fans Integrated Electricity-heat Microgrid Negative Emission Power Systems Uncertainty
DOI10.1109/TSTE.2023.3306360
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaScience & Technology - Other Topics ; Engineering ; Energy & Fuels
WOS SubjectGreen & Sustainable Science & Technology ; Energy & Fuels ; Engineering, Electrical & Electronic
WOS IDWOS:001194520300020
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85168746908
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorWu, Qiuwei
Affiliation1.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 AffilicationUniversity 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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