Optimal Location of Static Synchronous Compensator (STATCOM) for IEEE 5-Bus Standard System Using Genetic Algorithm
Heuristic approaches are traditionally applied to find the optimal size and optimal location of Flexible AC Transmission Systems (FACTS) devices in power systems. Genetic Algorithm (GA) technique has been applied to solve power engineering optimization problems giving better results than classical m...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Baghdad
2015-07-01
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| Series: | Journal of Engineering |
| Online Access: | https://www.jcoeng.edu.iq/index.php/main/article/view/394/341 |
| _version_ | 1797721788349677568 |
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| author | Firas Mohammed To'aima Yasser Nadhum Al-Aani Hassan Ali Abdulmajeed Salbi |
| author_facet | Firas Mohammed To'aima Yasser Nadhum Al-Aani Hassan Ali Abdulmajeed Salbi |
| author_sort | Firas Mohammed To'aima |
| collection | DOAJ |
| description | Heuristic approaches are traditionally applied to find the optimal size and optimal location of Flexible AC Transmission Systems (FACTS) devices in power systems. Genetic Algorithm (GA) technique has been applied to solve power engineering optimization problems giving better results than classical methods. This paper shows the application of GA for optimal sizing and allocation of a Static Compensator (STATCOM) in a power system. STATCOM devices used to increase transmission systems capacity and enhance voltage stability by regulate the voltages at its terminal by controlling the amount of reactive power injected into or absorbed from the power system. IEEE 5-bus standard system is used as an example to illustrate the technique used. Results showed that the STATCOM was able to reduce the voltage deviation and the apparent power losses with minimum possible size of installation capacity for STATCOM devices. GA plays its own requirements by finding best location and best size of STATCOM devices. |
| first_indexed | 2024-03-12T09:38:17Z |
| format | Article |
| id | doaj.art-905abc1c48a54ff6bfff7fdac095594a |
| institution | Directory Open Access Journal |
| issn | 1726-4073 2520-3339 |
| language | English |
| last_indexed | 2024-03-12T09:38:17Z |
| publishDate | 2015-07-01 |
| publisher | University of Baghdad |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj.art-905abc1c48a54ff6bfff7fdac095594a2023-09-02T13:26:50ZengUniversity of BaghdadJournal of Engineering1726-40732520-33392015-07-012177284Optimal Location of Static Synchronous Compensator (STATCOM) for IEEE 5-Bus Standard System Using Genetic AlgorithmFiras Mohammed To'aimaYasser Nadhum Al-AaniHassan Ali Abdulmajeed SalbiHeuristic approaches are traditionally applied to find the optimal size and optimal location of Flexible AC Transmission Systems (FACTS) devices in power systems. Genetic Algorithm (GA) technique has been applied to solve power engineering optimization problems giving better results than classical methods. This paper shows the application of GA for optimal sizing and allocation of a Static Compensator (STATCOM) in a power system. STATCOM devices used to increase transmission systems capacity and enhance voltage stability by regulate the voltages at its terminal by controlling the amount of reactive power injected into or absorbed from the power system. IEEE 5-bus standard system is used as an example to illustrate the technique used. Results showed that the STATCOM was able to reduce the voltage deviation and the apparent power losses with minimum possible size of installation capacity for STATCOM devices. GA plays its own requirements by finding best location and best size of STATCOM devices.https://www.jcoeng.edu.iq/index.php/main/article/view/394/341 |
| spellingShingle | Firas Mohammed To'aima Yasser Nadhum Al-Aani Hassan Ali Abdulmajeed Salbi Optimal Location of Static Synchronous Compensator (STATCOM) for IEEE 5-Bus Standard System Using Genetic Algorithm Journal of Engineering |
| title | Optimal Location of Static Synchronous Compensator (STATCOM) for IEEE 5-Bus Standard System Using Genetic Algorithm |
| title_full | Optimal Location of Static Synchronous Compensator (STATCOM) for IEEE 5-Bus Standard System Using Genetic Algorithm |
| title_fullStr | Optimal Location of Static Synchronous Compensator (STATCOM) for IEEE 5-Bus Standard System Using Genetic Algorithm |
| title_full_unstemmed | Optimal Location of Static Synchronous Compensator (STATCOM) for IEEE 5-Bus Standard System Using Genetic Algorithm |
| title_short | Optimal Location of Static Synchronous Compensator (STATCOM) for IEEE 5-Bus Standard System Using Genetic Algorithm |
| title_sort | optimal location of static synchronous compensator statcom for ieee 5 bus standard system using genetic algorithm |
| url | https://www.jcoeng.edu.iq/index.php/main/article/view/394/341 |
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