STATCOM Optimal Allocation in Transmission Grids Considering Contingency Analysis in OPF Using BF-PSO Algorithm
In this paper, a combinational optimization algorithm is introduced to obtain the best size and location of Static Compensator (STATCOM) in power systems. Its main contribution is considering contingency analysis where lines outages may lead to infeasible solutions especially at peak loads and it co...
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| Format: | Article |
| Language: | English |
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University of Mohaghegh Ardabili
2007-06-01
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| Series: | Journal of Operation and Automation in Power Engineering |
| Subjects: | |
| Online Access: | http://joape.uma.ac.ir/article_171_e47fb23085fba27b9ae57e27b380abaf.pdf |
| _version_ | 1830447999109562368 |
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| author | R. Kazemzadeh M. Moazen R. Ajabi-Farshbaf M. Vatanpour |
| author_facet | R. Kazemzadeh M. Moazen R. Ajabi-Farshbaf M. Vatanpour |
| author_sort | R. Kazemzadeh |
| collection | DOAJ |
| description | In this paper, a combinational optimization algorithm is introduced to obtain the best size and location of Static Compensator (STATCOM) in power systems. Its main contribution is considering contingency analysis where lines outages may lead to infeasible solutions especially at peak loads and it commonly can be vanished by load-shedding. The objective of the proposed algorithm is firstly to prevent infeasible power flow solutions without undesired load-shedding, which is critical in contingency analysis; and secondly to mitigate overall power losses and costs. Moreover, active and reactive powers generation costs are considered in the proposed objective function. Since there are various constraints such as lines outages number, cost and their duration that must be taken to account, Bacterial Foraging oriented by Particle Swarm Optimization (BF-PSO) algorithm combined with Optimal Power Flow (OPF) is used to solve and overcome the complexity of this combinational nonlinear problem. In order to validate the accuracy of the proposed method, two test systems, including IEEE 30 bus standard system and Azarbaijan regional power system of Iran, are applied in simulation studies. All obtained optimization results show the effectiveness of the suggested combinational method in loss and cost reduction and preventing load-shedding. |
| first_indexed | 2024-12-21T07:32:25Z |
| format | Article |
| id | doaj.art-7f75ab6a5a3a441c9a81de256ac002e1 |
| institution | Directory Open Access Journal |
| issn | 2322-4576 2423-4567 |
| language | English |
| last_indexed | 2024-12-21T07:32:25Z |
| publishDate | 2007-06-01 |
| publisher | University of Mohaghegh Ardabili |
| record_format | Article |
| series | Journal of Operation and Automation in Power Engineering |
| spelling | doaj.art-7f75ab6a5a3a441c9a81de256ac002e12022-12-21T19:11:32ZengUniversity of Mohaghegh ArdabiliJournal of Operation and Automation in Power Engineering2322-45762423-45672007-06-0111111171STATCOM Optimal Allocation in Transmission Grids Considering Contingency Analysis in OPF Using BF-PSO AlgorithmR. Kazemzadeh0M. Moazen1R. Ajabi-Farshbaf2M. Vatanpour3Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, IranFaculty of Electrical Engineering, Sahand University of Technology, Tabriz, IranFaculty of Electrical Engineering, Sahand University of Technology, Tabriz, IranFaculty of Electrical Engineering, Sahand University of Technology, Tabriz, IranIn this paper, a combinational optimization algorithm is introduced to obtain the best size and location of Static Compensator (STATCOM) in power systems. Its main contribution is considering contingency analysis where lines outages may lead to infeasible solutions especially at peak loads and it commonly can be vanished by load-shedding. The objective of the proposed algorithm is firstly to prevent infeasible power flow solutions without undesired load-shedding, which is critical in contingency analysis; and secondly to mitigate overall power losses and costs. Moreover, active and reactive powers generation costs are considered in the proposed objective function. Since there are various constraints such as lines outages number, cost and their duration that must be taken to account, Bacterial Foraging oriented by Particle Swarm Optimization (BF-PSO) algorithm combined with Optimal Power Flow (OPF) is used to solve and overcome the complexity of this combinational nonlinear problem. In order to validate the accuracy of the proposed method, two test systems, including IEEE 30 bus standard system and Azarbaijan regional power system of Iran, are applied in simulation studies. All obtained optimization results show the effectiveness of the suggested combinational method in loss and cost reduction and preventing load-shedding.http://joape.uma.ac.ir/article_171_e47fb23085fba27b9ae57e27b380abaf.pdfBF-PSO AlgorithmContingency AnalysisOptimal power flowSTATCOM Allocation |
| spellingShingle | R. Kazemzadeh M. Moazen R. Ajabi-Farshbaf M. Vatanpour STATCOM Optimal Allocation in Transmission Grids Considering Contingency Analysis in OPF Using BF-PSO Algorithm Journal of Operation and Automation in Power Engineering BF-PSO Algorithm Contingency Analysis Optimal power flow STATCOM Allocation |
| title | STATCOM Optimal Allocation in Transmission Grids Considering Contingency Analysis in OPF Using BF-PSO Algorithm |
| title_full | STATCOM Optimal Allocation in Transmission Grids Considering Contingency Analysis in OPF Using BF-PSO Algorithm |
| title_fullStr | STATCOM Optimal Allocation in Transmission Grids Considering Contingency Analysis in OPF Using BF-PSO Algorithm |
| title_full_unstemmed | STATCOM Optimal Allocation in Transmission Grids Considering Contingency Analysis in OPF Using BF-PSO Algorithm |
| title_short | STATCOM Optimal Allocation in Transmission Grids Considering Contingency Analysis in OPF Using BF-PSO Algorithm |
| title_sort | statcom optimal allocation in transmission grids considering contingency analysis in opf using bf pso algorithm |
| topic | BF-PSO Algorithm Contingency Analysis Optimal power flow STATCOM Allocation |
| url | http://joape.uma.ac.ir/article_171_e47fb23085fba27b9ae57e27b380abaf.pdf |
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