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Data-Driven Dispatchable Regions with Potentially Active Boundaries for Renewable Power Generation: Concept and Construction
Yanqi Liu1; Zhigang Li1; Wei Wei2; J. H. Zheng1; Hongcai Zhang3
2022-04-01
Source PublicationIEEE Transactions on Sustainable Energy
ISSN1949-3029
Volume13Issue:2Pages:882-891
Abstract

The dispatchable region of volatile renewable power generation (RPG) quantifies how much uncertainty the power system can handle at a given operating point. State-of-the-art dispatchable region (DR) research has studied how system operational constraints influence the DR but has seldom considered the effect of the uncertainty features of RPG outputs. The traditional DR is generally described by a large number of boundaries, and it is computationally intensive to construct. To bridge these gaps, a novel type of DR is defined, which is enclosed by potentially active boundaries (PABs) that consider the operational constraints and uncertainty features of RPG outputs. The proposed DR is easier to construct because the PABs are only a small part of the traditional DR boundaries. The procedure for constructing the proposed DR is described in terms of the progressive search for PABs, which is formulated as a mixed-integer linear program by incorporating the discrete observed data points of RPG outputs as an approximate distribution. A parallel solution paradigm is also developed to expedite the construction procedure when using a large observed dataset. Simulation tests on the IEEE 30-bus and 118-bus systems verify the effectiveness and scalability of the proposed DR and the efficiency of the proposed algorithm.

KeywordColumn Generation Data Driven Dispatchable Region Mixed-integer Linear Program Potentially Active Boundary Renewable Power Generation
DOI10.1109/TSTE.2021.3138125
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaScience & Technology - Other Topics ; Energy & Fuels ; Engineering
WOS SubjectGreen & Sustainable Science & Technology ; Energy & Fuels ; Engineering, Electrical & Electronic
WOS IDWOS:000772458800024
Scopus ID2-s2.0-85122072780
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Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Faculty of Science and Technology
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorZhigang Li
Affiliation1.School of Electric Power Engineering, South China University of Technology, Guangzhou, China
2.Department of Electrical Engineering, Tsinghua University, Beijing, China
3.State Key Laboratory of Internet of Things for Smart City, Department of Electrical and Computer Engineering, University of Macau, Macao
Recommended Citation
GB/T 7714
Yanqi Liu,Zhigang Li,Wei Wei,et al. Data-Driven Dispatchable Regions with Potentially Active Boundaries for Renewable Power Generation: Concept and Construction[J]. IEEE Transactions on Sustainable Energy, 2022, 13(2), 882-891.
APA Yanqi Liu., Zhigang Li., Wei Wei., J. H. Zheng., & Hongcai Zhang (2022). Data-Driven Dispatchable Regions with Potentially Active Boundaries for Renewable Power Generation: Concept and Construction. IEEE Transactions on Sustainable Energy, 13(2), 882-891.
MLA Yanqi Liu,et al."Data-Driven Dispatchable Regions with Potentially Active Boundaries for Renewable Power Generation: Concept and Construction".IEEE Transactions on Sustainable Energy 13.2(2022):882-891.
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