Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildings
The structure of direct current (DC) appliances is simpler and more energy-efficient than that of alternating current (AC) appliances. With the proliferation of novel DC loads (e.g., e-bikes and electric vehicles), DC loads will dominate the loads in buildings. It is necessary to develop a DC power...
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Format: | Article |
Language: | English |
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Elsevier
2023-01-01
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Series: | Alexandria Engineering Journal |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016822005300 |
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author | Chenxi Jia Long Zhang Chuanjin Zhang Yutan Li |
author_facet | Chenxi Jia Long Zhang Chuanjin Zhang Yutan Li |
author_sort | Chenxi Jia |
collection | DOAJ |
description | The structure of direct current (DC) appliances is simpler and more energy-efficient than that of alternating current (AC) appliances. With the proliferation of novel DC loads (e.g., e-bikes and electric vehicles), DC loads will dominate the loads in buildings. It is necessary to develop a DC power distribution method that better accommodates renewable energy, effectively improves the working efficiency of loads, and significantly enhances energy utilization efficiency. However, there is not yet a unified design for the multi-port converter of DC microgrids. The experience is severely lacking in the overall energy planning for buildings from the perspectives of economy and environmental friendliness. To solve the problems, this paper explores the intelligent decision optimization for energy control in DC power distribution system with multi-port access for intelligent buildings. Firstly, a feature analysis was carried out on the multi-port converter of the DC power distribution system for intelligent buildings. With economy and environmental friendliness as the goals, the authors designed constraints related to energy output power, power balance, and distribution node voltage, and established an intelligent decision optimization model for the energy control of the DC microgrid for intelligent buildings. The model was combined with the multi-attribute decision-making framework into a decision-making framework for the coordinated operation of distributed energy supply units, which is based on the interval evidential reasoning (IER). Finally, the authors proposed an evaluation method for the decision-making of the energy control of DC power distribution for intelligent buildings, based on the Maclaurin symmetric mean (MSM) operator, and the IER-based decision-making framework. The proposed method was proved effective through experiments. |
first_indexed | 2024-04-10T20:18:54Z |
format | Article |
id | doaj.art-688c14da7f61444696b926093bad2833 |
institution | Directory Open Access Journal |
issn | 1110-0168 |
language | English |
last_indexed | 2024-04-10T20:18:54Z |
publishDate | 2023-01-01 |
publisher | Elsevier |
record_format | Article |
series | Alexandria Engineering Journal |
spelling | doaj.art-688c14da7f61444696b926093bad28332023-01-26T04:44:24ZengElsevierAlexandria Engineering Journal1110-01682023-01-0163455464Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildingsChenxi Jia0Long Zhang1Chuanjin Zhang2Yutan Li3School of Intelligent Manufacturing, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, China; Corresponding author.School of Architectural Decoration, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, ChinaSchool of Intelligent Manufacturing, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, ChinaSchool of Intelligent Manufacturing, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, ChinaThe structure of direct current (DC) appliances is simpler and more energy-efficient than that of alternating current (AC) appliances. With the proliferation of novel DC loads (e.g., e-bikes and electric vehicles), DC loads will dominate the loads in buildings. It is necessary to develop a DC power distribution method that better accommodates renewable energy, effectively improves the working efficiency of loads, and significantly enhances energy utilization efficiency. However, there is not yet a unified design for the multi-port converter of DC microgrids. The experience is severely lacking in the overall energy planning for buildings from the perspectives of economy and environmental friendliness. To solve the problems, this paper explores the intelligent decision optimization for energy control in DC power distribution system with multi-port access for intelligent buildings. Firstly, a feature analysis was carried out on the multi-port converter of the DC power distribution system for intelligent buildings. With economy and environmental friendliness as the goals, the authors designed constraints related to energy output power, power balance, and distribution node voltage, and established an intelligent decision optimization model for the energy control of the DC microgrid for intelligent buildings. The model was combined with the multi-attribute decision-making framework into a decision-making framework for the coordinated operation of distributed energy supply units, which is based on the interval evidential reasoning (IER). Finally, the authors proposed an evaluation method for the decision-making of the energy control of DC power distribution for intelligent buildings, based on the Maclaurin symmetric mean (MSM) operator, and the IER-based decision-making framework. The proposed method was proved effective through experiments.http://www.sciencedirect.com/science/article/pii/S1110016822005300Multi-port accessIntelligent buildingsDirect current (DC) power distributionEnergy controlIntelligent decision optimization |
spellingShingle | Chenxi Jia Long Zhang Chuanjin Zhang Yutan Li Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildings Alexandria Engineering Journal Multi-port access Intelligent buildings Direct current (DC) power distribution Energy control Intelligent decision optimization |
title | Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildings |
title_full | Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildings |
title_fullStr | Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildings |
title_full_unstemmed | Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildings |
title_short | Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildings |
title_sort | intelligent decision optimization for energy control of direct current power distribution system with multi port access for intelligent buildings |
topic | Multi-port access Intelligent buildings Direct current (DC) power distribution Energy control Intelligent decision optimization |
url | http://www.sciencedirect.com/science/article/pii/S1110016822005300 |
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