Volume 8, Issue 2, March 2019, Page: 42-49
Optimal Location of Upfc to Improve Power System Voltage Stability Using Artificial Bee Colony Algorithm
Bairu Vijay Kumar, Department of Electrical and Electronics Engineering, Kakatiya Institute of Technology and Science, Warangal, India
Received: Jan. 17, 2019;       Accepted: Mar. 7, 2019;       Published: Apr. 9, 2019
DOI: 10.11648/j.epes.20190802.11      View  26      Downloads  22
Abstract
In this paper a heuristic technique based optimal location of UPFC to improve the performance of power system is proposed. Here, the maximum power loss bus is identified as the most suitable location for fixing the UPFC. Generator outage affects the power flow constraints such as power loss, voltage, real and reactive power flow. Generator outage at different buses is introduced and the performance of the system is analyzed. The optimum location has been determined using the Artificial Bee Colony Algorithm (ABC) under this condition. By connecting UPFC at optimal location given by ABC algorithm, the power loss in the system is reduced and voltage profile is improved. Proposed work is implemented in the MATLAB and tested on IEEE 30 bus system. Initially the single generator outage is introduced at different buses in the system and afterwards double generator outage is introduced. In these conditions, the voltage profile and the power loss is analyzed at normal condition, outage condition and after connecting UPFC whose location given by proposed ABC algorithm. Performance of this algorithm is evaluated by comparing the results with those of different techniques. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the voltage stability problem.
Keywords
UPFC, ABC Algorithm, Power Loss, Generator
To cite this article
Bairu Vijay Kumar, Optimal Location of Upfc to Improve Power System Voltage Stability Using Artificial Bee Colony Algorithm, American Journal of Electrical Power and Energy Systems. Vol. 8, No. 2, 2019, pp. 42-49. doi: 10.11648/j.epes.20190802.11
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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