Residential College | false |
Status | 已發表Published |
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 Publication | Frontiers in Energy Research |
ISSN | 2296-598X |
Volume | 10Pages: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. |
Keyword | Energy Management Energy Storage Microgrid Multi-energy Systems Renewable Energy |
DOI | 10.3389/fenrg.2022.1030662 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Energy & Fuels |
WOS Subject | Energy & Fuels |
WOS ID | WOS:000918880600001 |
Publisher | FRONTIERS MEDIA SA, AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND |
Scopus ID | 2-s2.0-85146495086 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Corresponding Author | Bai, Ziyi |
Affiliation | 1.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 Affilication | Faculty 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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