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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Main Authors: Yu-Shuai Li, Tian-Yi Li, Jian-Guo Zhou, Bo-Nan Huang
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Applied Sciences
Subjects:
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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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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AT tianyili doubleconsensusbaseddistributedoptimalenergymanagementformultipleenergyhubs
AT jianguozhou doubleconsensusbaseddistributedoptimalenergymanagementformultipleenergyhubs
AT bonanhuang doubleconsensusbaseddistributedoptimalenergymanagementformultipleenergyhubs