Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm

One of the biggest problems with distribution systems correspond to the load unbalance created by power demand of customers. This becomes a difficult task to solve with conventional methods. Therefore, this paper uses integer linear programming and Branch and Bound algorithm to balance the loads in...

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Main Authors: Jorge Arias, Maria Calle, Daniel Turizo, Javier Guerrero, John E. Candelo-Becerra
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/7/1219
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spelling doaj-4b12e1708b3b4fcba886638f9a427b952020-11-25T00:35:37ZengMDPI AGEnergies1996-10732019-03-01127121910.3390/en12071219en12071219Historical Load Balance in Distribution Systems Using the Branch and Bound AlgorithmJorge Arias0Maria Calle1Daniel Turizo2Javier Guerrero3John E. Candelo-Becerra4Department of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 080001, Atlántico, ColombiaDepartment of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 080001, Atlántico, ColombiaDepartment of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 080001, Atlántico, ColombiaSchool of Electrical Engineering & Computer Science, Washington State University, Bremerton, WA 98312, USADepartment of Electrical Energy and Automation, Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Medellín 050041, Antioquia, ColombiaOne of the biggest problems with distribution systems correspond to the load unbalance created by power demand of customers. This becomes a difficult task to solve with conventional methods. Therefore, this paper uses integer linear programming and Branch and Bound algorithm to balance the loads in the three phases of the distribution system, employing stored data of power demand. Results show that the method helps to decrease the unbalance factor in more than 10%, by selecting the phase where a load should be connected. The solution may be used as a planning tool in distribution systems applied to installations with systems for measuring power consumption in different time intervals. Furthermore, in conjunction with communications and processing technologies, the solution could be useful to implement with a smart grid.https://www.mdpi.com/1996-1073/12/7/1219technical power lossesbranch and boundinteger linear programmingphase-load balancing
collection DOAJ
language English
format Article
sources DOAJ
author Jorge Arias
Maria Calle
Daniel Turizo
Javier Guerrero
John E. Candelo-Becerra
spellingShingle Jorge Arias
Maria Calle
Daniel Turizo
Javier Guerrero
John E. Candelo-Becerra
Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm
Energies
technical power losses
branch and bound
integer linear programming
phase-load balancing
author_facet Jorge Arias
Maria Calle
Daniel Turizo
Javier Guerrero
John E. Candelo-Becerra
author_sort Jorge Arias
title Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm
title_short Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm
title_full Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm
title_fullStr Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm
title_full_unstemmed Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm
title_sort historical load balance in distribution systems using the branch and bound algorithm
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2019-03-01
description One of the biggest problems with distribution systems correspond to the load unbalance created by power demand of customers. This becomes a difficult task to solve with conventional methods. Therefore, this paper uses integer linear programming and Branch and Bound algorithm to balance the loads in the three phases of the distribution system, employing stored data of power demand. Results show that the method helps to decrease the unbalance factor in more than 10%, by selecting the phase where a load should be connected. The solution may be used as a planning tool in distribution systems applied to installations with systems for measuring power consumption in different time intervals. Furthermore, in conjunction with communications and processing technologies, the solution could be useful to implement with a smart grid.
topic technical power losses
branch and bound
integer linear programming
phase-load balancing
url https://www.mdpi.com/1996-1073/12/7/1219
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AT javierguerrero historicalloadbalanceindistributionsystemsusingthebranchandboundalgorithm
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