Research Article | OPEN ACCESS
Optimization of High Voltage Distribution System
1Issah Babatunde Majeed, 2Amevi Acakpovi and 2Mathias B. Michael
1Electrical/Electronic Engineering Department, Takoradi Technical University, Takoradi, P.O. Box 256
2Electrical/Electronic Engineering Department, Accra Technical University, Accra, GP 561, Ghana
Research Journal of Applied Sciences, Engineering and Technology 2017 7:251-255
Received: February 22, 2017 | Accepted: April 27, 2017 | Published: July 15, 2017
Abstract
This study presents a technique applied during the conversion of an existing Low Voltage Distribution System into a proposed High Voltage Distribution System in a radial distribution network. High Voltage Distribution System optimization is demonstrated using linear programming techniques in MATLAB optimization toolbox. An application has been developed to illustrate the methodology. The optimization technique estimates the optimal number of unit transformers in the proposed network which is equivalent to a bulk transformer in the existing network. Results showed that the optimization process produced nine 16 kVA and four 25 kVA unit transformers which is equivalent to a 315 kVA bulk transformer. This procedure is effective for converting the bulk transformer in the existing network into an equivalent population of unit transformers in the proposed network. To achieve the benefit of the conversion process, High Voltage Distribution System optimization has been recommended to minimize transformer no-load losses. As a result, the economy of distribution transformers is improved by savings in operational cost.
Keywords:
HVDS, LVDS, optimization, radial distribution network, transformer no-load losses,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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