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A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy
Xu, Da1,2,3,4; Zhong, Feili1,2,3,4; Bai, Ziyi5
2023-01-05
Source PublicationFrontiers in Energy Research
ISSN2296-598X
Volume10Pages:1030662
Abstract

The inherent intermittency of high-penetrated renewable energy poses economic and reliable issues of microgrid energy management. This study proposes a two-layer predictive energy management system (PEMS) for high-renewable multi-energy microgrid (MEM). In this MEM, geothermal, solar, and wind energy is converted and conditioned for electricity, thermal, and gas supplies, in which multi-energy complementarities are fully exploited based on electrolytic thermos-electrochemical effects. The proposed microgrid multi-energy management is a complicated and cumbersome problem because of their increasingly tight energy couplings and uncertainties of renewable energy sources (RESs). This intractable problem is thus processed by means of a two-layer PEMS with different time scales, where the system operating costs are minimized in the upper layer and the renewable fluctuations are coped with in the lower layer. Simulation studies on a high-renewable MEM are provided to indicate its effectiveness and superiority over a single time scale scheme. Simulations results show that the operating cost can be reduced by 22.2% with high RESs accommodation.

KeywordEnergy Management Energy Storage Microgrid Multi-energy Systems Renewable Energy
DOI10.3389/fenrg.2022.1030662
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEnergy & Fuels
WOS SubjectEnergy & Fuels
WOS IDWOS:000918880600001
PublisherFRONTIERS MEDIA SA, AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND
Scopus ID2-s2.0-85146495086
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Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorBai, Ziyi
Affiliation1.School of Automation, China University of Geosciences, Wuhan, China
2.Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China
3.Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan, China
4.Intelligent Electric Power Grid Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
5.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Zhuhai, China
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Xu, Da,Zhong, Feili,Bai, Ziyi. A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy[J]. Frontiers in Energy Research, 2023, 10, 1030662.
APA Xu, Da., Zhong, Feili., & Bai, Ziyi (2023). A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy. Frontiers in Energy Research, 10, 1030662.
MLA Xu, Da,et al."A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy".Frontiers in Energy Research 10(2023):1030662.
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