Double-Consensus Based Distributed Optimal Energy Management for Multiple Energy Hubs
This paper presents a novel distributed double-consensus algorithm to solve the optimal energy management problem for multiple energy hubs interconnected with each other. The objective is achieved by establishing two interactive and paralleled consensus procedures modified by their corresponding fee...
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MDPI AG
2018-08-01
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Series: | Applied Sciences |
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Online Access: | http://www.mdpi.com/2076-3417/8/9/1412 |
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author | Yu-Shuai Li Tian-Yi Li Jian-Guo Zhou Bo-Nan Huang |
author_facet | Yu-Shuai Li Tian-Yi Li Jian-Guo Zhou Bo-Nan Huang |
author_sort | Yu-Shuai Li |
collection | DOAJ |
description | This paper presents a novel distributed double-consensus algorithm to solve the optimal energy management problem for multiple energy hubs interconnected with each other. The objective is achieved by establishing two interactive and paralleled consensus procedures modified by their corresponding feedback terms. Meanwhile, a novel projection operation method is proposed to map the infeasible values into the feasible operating region. The proposed algorithm can effectively handle the coupled variables problem existing in the objective function and constraint limits. Moreover, the optimality and convergence analysis are performed strictly under strong connectivity conditions only. Simulations performed on standard test cases are provided to illustrate the effectiveness of the proposed distributed algorithm. |
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format | Article |
id | doaj.art-b0a62b953eba45a3a0854240e9b7c4ea |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-12-16T14:59:18Z |
publishDate | 2018-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-b0a62b953eba45a3a0854240e9b7c4ea2022-12-21T22:27:20ZengMDPI AGApplied Sciences2076-34172018-08-0189141210.3390/app8091412app8091412Double-Consensus Based Distributed Optimal Energy Management for Multiple Energy HubsYu-Shuai Li0Tian-Yi Li1Jian-Guo Zhou2Bo-Nan Huang3Department of Electrical Engineering, Northeastern University, Shenyang 110819, ChinaDepartment of Computer Science, Aalborg University, 9220 Aalborg, DenmarkDepartment of Electrical Engineering, Northeastern University, Shenyang 110819, ChinaDepartment of Electrical Engineering, Northeastern University, Shenyang 110819, ChinaThis paper presents a novel distributed double-consensus algorithm to solve the optimal energy management problem for multiple energy hubs interconnected with each other. The objective is achieved by establishing two interactive and paralleled consensus procedures modified by their corresponding feedback terms. Meanwhile, a novel projection operation method is proposed to map the infeasible values into the feasible operating region. The proposed algorithm can effectively handle the coupled variables problem existing in the objective function and constraint limits. Moreover, the optimality and convergence analysis are performed strictly under strong connectivity conditions only. Simulations performed on standard test cases are provided to illustrate the effectiveness of the proposed distributed algorithm.http://www.mdpi.com/2076-3417/8/9/1412consensusenergy managementdistributed algorithmenergy hub |
spellingShingle | Yu-Shuai Li Tian-Yi Li Jian-Guo Zhou Bo-Nan Huang Double-Consensus Based Distributed Optimal Energy Management for Multiple Energy Hubs Applied Sciences consensus energy management distributed algorithm energy hub |
title | Double-Consensus Based Distributed Optimal Energy Management for Multiple Energy Hubs |
title_full | Double-Consensus Based Distributed Optimal Energy Management for Multiple Energy Hubs |
title_fullStr | Double-Consensus Based Distributed Optimal Energy Management for Multiple Energy Hubs |
title_full_unstemmed | Double-Consensus Based Distributed Optimal Energy Management for Multiple Energy Hubs |
title_short | Double-Consensus Based Distributed Optimal Energy Management for Multiple Energy Hubs |
title_sort | double consensus based distributed optimal energy management for multiple energy hubs |
topic | consensus energy management distributed algorithm energy hub |
url | http://www.mdpi.com/2076-3417/8/9/1412 |
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