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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Online Access: | https://www.mdpi.com/1996-1073/12/7/1219 |
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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 |
work_keys_str_mv |
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