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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Main Authors: Da Xu, Feili Zhong, Ziyi Bai
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Energy Research
Subjects:
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.
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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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