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.
| Published in | American Journal of Electrical Power and Energy Systems (Volume 8, Issue 2) |
| DOI | 10.11648/j.epes.20190802.11 |
| Page(s) | 42-49 |
| Creative Commons |
This is an Open Access article, 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 or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
UPFC, ABC Algorithm, Power Loss, Generator
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APA Style
Bairu Vijay Kumar. (2019). Optimal Location of Upfc to Improve Power System Voltage Stability Using Artificial Bee Colony Algorithm. American Journal of Electrical Power and Energy Systems, 8(2), 42-49. https://doi.org/10.11648/j.epes.20190802.11
ACS Style
Bairu Vijay Kumar. Optimal Location of Upfc to Improve Power System Voltage Stability Using Artificial Bee Colony Algorithm. Am. J. Electr. Power Energy Syst. 2019, 8(2), 42-49. doi: 10.11648/j.epes.20190802.11
AMA Style
Bairu Vijay Kumar. Optimal Location of Upfc to Improve Power System Voltage Stability Using Artificial Bee Colony Algorithm. Am J Electr Power Energy Syst. 2019;8(2):42-49. doi: 10.11648/j.epes.20190802.11
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Download@article{10.11648/j.epes.20190802.11,
author = {Bairu Vijay Kumar},
title = {Optimal Location of Upfc to Improve Power System Voltage Stability Using Artificial Bee Colony Algorithm},
journal = {American Journal of Electrical Power and Energy Systems},
volume = {8},
number = {2},
pages = {42-49},
doi = {10.11648/j.epes.20190802.11},
url = {https://doi.org/10.11648/j.epes.20190802.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20190802.11},
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.},
year = {2019}
}
TY - JOUR T1 - Optimal Location of Upfc to Improve Power System Voltage Stability Using Artificial Bee Colony Algorithm AU - Bairu Vijay Kumar Y1 - 2019/04/09 PY - 2019 N1 - https://doi.org/10.11648/j.epes.20190802.11 DO - 10.11648/j.epes.20190802.11 T2 - American Journal of Electrical Power and Energy Systems JF - American Journal of Electrical Power and Energy Systems JO - American Journal of Electrical Power and Energy Systems SP - 42 EP - 49 PB - Science Publishing Group SN - 2326-9200 UR - https://doi.org/10.11648/j.epes.20190802.11 AB - 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. VL - 8 IS - 2 ER -
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