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Modeling concentrating solar power plants in power system optimal planning and operation: A comprehensive review
Wang, Yang1; Luo, Shuyu1; Yao, Lingxiang1,2; Du, Ershun3; Guan, Zhiwen1; Xiao, Xianyong1
2024-11-01
Source PublicationSustainable Energy Technologies and Assessments
ISSN2213-1388
Volume71Pages:103992
Abstract

The increasing integration of intermittent renewable energy sources has significantly intensified the demand for flexible resources. In this context, concentrating solar power (CSP) stands poised to play a critical role due to its controllable and dispatchable capabilities. However, the dearth of guidelines for modeling CSP in power system optimal planning and operation hinders accurate characterization of CSP's operational properties. This paper proposes a novel modeling framework to guide the representation of CSP in different planning and operation scenarios. Firstly, multi-type CSP models are summarized and compared thoroughly in terms of application scenarios and levels of detail. Subsequently, the state-of-the-art development of optimal planning and operation for CSP in high renewable energy penetrated power systems are reviewed from three topics: topological structure and optimal sizing, system expansion planning, and optimal operation scheduling. Next, the CSP modeling approach applicable to the specific research problem under each topic is clarified. It is indicated that energy flow models are the predominant modeling approach for CSP. Finally, recommendations for future research are proposed to pave the way for further advancement in CSP modeling and optimization.

KeywordConcentrating Solar Power High Renewable Energy Penetration Power System Operation Power System Planning
DOI10.1016/j.seta.2024.103992
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaScience & Technology - Other Topics ; Energy & Fuels
WOS SubjectGreen & Sustainable Science & Technology ; Energy & Fuels
WOS IDWOS:001325047100001
PublisherELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
Scopus ID2-s2.0-85204725816
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorYao, Lingxiang
Affiliation1.College of Electrical Engineering, Sichuan University, Chengdu, 610044, China
2.State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering, University of Macau, Macao, 999078, China
3.Laboratory of Low Carbon Energy, Tsinghua University, Beijing, 100084, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wang, Yang,Luo, Shuyu,Yao, Lingxiang,et al. Modeling concentrating solar power plants in power system optimal planning and operation: A comprehensive review[J]. Sustainable Energy Technologies and Assessments, 2024, 71, 103992.
APA Wang, Yang., Luo, Shuyu., Yao, Lingxiang., Du, Ershun., Guan, Zhiwen., & Xiao, Xianyong (2024). Modeling concentrating solar power plants in power system optimal planning and operation: A comprehensive review. Sustainable Energy Technologies and Assessments, 71, 103992.
MLA Wang, Yang,et al."Modeling concentrating solar power plants in power system optimal planning and operation: A comprehensive review".Sustainable Energy Technologies and Assessments 71(2024):103992.
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