Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies

Multi-energy carriers system (MECS), in which diverse energy carriers and different energy systems interact together, has drawn the interest of many researchers in recent years. However, the optimal economic operational model of the MECS is a nonlinear, multi-variable, and multi-period problem, of w...

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Main Authors: Yu Huang, Kai Yang, Weiting Zhang, Kwang Y. Lee
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/11/10/2834
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spelling doaj-5497ccf862a84fa3babcca9a106cf9922020-11-25T00:16:18ZengMDPI AGEnergies1996-10732018-10-011110283410.3390/en11102834en11102834Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest BodiesYu Huang0Kai Yang1Weiting Zhang2Kwang Y. Lee3Department of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Electrical &Computer Engineering, Baylor University, Waco, TX 76798, USAMulti-energy carriers system (MECS), in which diverse energy carriers and different energy systems interact together, has drawn the interest of many researchers in recent years. However, the optimal economic operational model of the MECS is a nonlinear, multi-variable, and multi-period problem, of which it is difficult to find the solution because several different energy flows are integrated in the system. To this end, three interest bodies in the MECS were investigated, which included the energy provider, the energy facilitator, and the energy consumer, and a hierarchical optimal economic operation strategy was then presented. A hybrid optimization strategy combining the swarm intelligence algorithm and interior point method was developed taking advantage of the merits of each method. Case studies were conducted to verify the effectiveness of the proposed hierarchical optimal economic operation strategy, whereby demonstrating that the proposed strategy can achieve rational energy allocation and decrease the energy cost in the MECS compared with traditional energy systems.http://www.mdpi.com/1996-1073/11/10/2834multi-energy carrier systemhierarchical energy managementenergy hubenergy storage systemoptimal operation strategy
collection DOAJ
language English
format Article
sources DOAJ
author Yu Huang
Kai Yang
Weiting Zhang
Kwang Y. Lee
spellingShingle Yu Huang
Kai Yang
Weiting Zhang
Kwang Y. Lee
Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies
Energies
multi-energy carrier system
hierarchical energy management
energy hub
energy storage system
optimal operation strategy
author_facet Yu Huang
Kai Yang
Weiting Zhang
Kwang Y. Lee
author_sort Yu Huang
title Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies
title_short Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies
title_full Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies
title_fullStr Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies
title_full_unstemmed Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies
title_sort hierarchical energy management for the multienergy carriers system with different interest bodies
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2018-10-01
description Multi-energy carriers system (MECS), in which diverse energy carriers and different energy systems interact together, has drawn the interest of many researchers in recent years. However, the optimal economic operational model of the MECS is a nonlinear, multi-variable, and multi-period problem, of which it is difficult to find the solution because several different energy flows are integrated in the system. To this end, three interest bodies in the MECS were investigated, which included the energy provider, the energy facilitator, and the energy consumer, and a hierarchical optimal economic operation strategy was then presented. A hybrid optimization strategy combining the swarm intelligence algorithm and interior point method was developed taking advantage of the merits of each method. Case studies were conducted to verify the effectiveness of the proposed hierarchical optimal economic operation strategy, whereby demonstrating that the proposed strategy can achieve rational energy allocation and decrease the energy cost in the MECS compared with traditional energy systems.
topic multi-energy carrier system
hierarchical energy management
energy hub
energy storage system
optimal operation strategy
url http://www.mdpi.com/1996-1073/11/10/2834
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AT kaiyang hierarchicalenergymanagementforthemultienergycarrierssystemwithdifferentinterestbodies
AT weitingzhang hierarchicalenergymanagementforthemultienergycarrierssystemwithdifferentinterestbodies
AT kwangylee hierarchicalenergymanagementforthemultienergycarrierssystemwithdifferentinterestbodies
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