A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy
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 energ...
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Frontiers Media S.A.
2023-01-01
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Series: | Frontiers in Energy Research |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1030662/full |
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author | Da Xu Da Xu Da Xu Da Xu Feili Zhong Feili Zhong Feili Zhong Feili Zhong Ziyi Bai |
author_facet | Da Xu Da Xu Da Xu Da Xu Feili Zhong Feili Zhong Feili Zhong Feili Zhong Ziyi Bai |
author_sort | Da Xu |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-11T00:53:55Z |
format | Article |
id | doaj.art-fa2292180b48401da73ff8300d64ba98 |
institution | Directory Open Access Journal |
issn | 2296-598X |
language | English |
last_indexed | 2024-04-11T00:53:55Z |
publishDate | 2023-01-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Energy Research |
spelling | doaj.art-fa2292180b48401da73ff8300d64ba982023-01-05T06:52:52ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011010.3389/fenrg.2022.10306621030662A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energyDa Xu0Da Xu1Da Xu2Da Xu3Feili Zhong4Feili Zhong5Feili Zhong6Feili Zhong7Ziyi Bai8School of Automation, China University of Geosciences, Wuhan, ChinaHubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, ChinaEngineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan, ChinaIntelligent Electric Power Grid Key Laboratory of Sichuan Province, Chengdu, Sichuan, ChinaSchool of Automation, China University of Geosciences, Wuhan, ChinaHubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, ChinaEngineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan, ChinaIntelligent Electric Power Grid Key Laboratory of Sichuan Province, Chengdu, Sichuan, ChinaDepartment of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Zhuhai, ChinaThe 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.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1030662/fullenergy managementrenewable energyenergy storagemulti-energy systemsmicrogrid |
spellingShingle | Da Xu Da Xu Da Xu Da Xu Feili Zhong Feili Zhong Feili Zhong Feili Zhong Ziyi Bai A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy Frontiers in Energy Research energy management renewable energy energy storage multi-energy systems microgrid |
title | A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy |
title_full | A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy |
title_fullStr | A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy |
title_full_unstemmed | A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy |
title_short | A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy |
title_sort | two layer multi energy management system for microgrids with solar wind and geothermal renewable energy |
topic | energy management renewable energy energy storage multi-energy systems microgrid |
url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1030662/full |
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