An Interactive Fuzzy Satisfying Method Based on Particle Swarm Optimization for Multi-Objective Function in Reactive Power Market
Reactive power plays an important role in supporting real power transmission, maintaining system voltages within proper limits and overall system reliability. In this paper, the production cost of reactive power, cost of the system transmission loss, investment cost of capacitor banks and absolute v...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Iran University of Science and Technology
2016-03-01
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| Series: | Iranian Journal of Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.iust.ac.ir/browse.php?a_code=A-10-1515-2&slc_lang=en&sid=1 |
| _version_ | 1811201729814855680 |
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| author | N. Tabrizi E. Babaei M. Mehdinejad |
| author_facet | N. Tabrizi E. Babaei M. Mehdinejad |
| author_sort | N. Tabrizi |
| collection | DOAJ |
| description | Reactive power plays an important role in supporting real power transmission, maintaining system voltages within proper limits and overall system reliability. In this paper, the production cost of reactive power, cost of the system transmission loss, investment cost of capacitor banks and absolute value of total voltage deviation (TVD) are included into the objective function of the power flow problem. Then, by using particle swarm optimization algorithm (PSO), the problem is solved. The proposed PSO algorithm is implemented on standard IEEE 14-bus and IEEE 57-bus test systems and with using fuzzy satisfying method the optimal solutions are determined. The fuzzy goals are quantified by defining their corresponding membership functions and the decision maker is then asked to specify the desirable membership values. The obtained results show that solving this problem by using the proposed method gives much better results than all the other algorithms. |
| first_indexed | 2024-04-12T02:26:47Z |
| format | Article |
| id | doaj.art-a2384d660f4144d9bb7086653599ef25 |
| institution | Directory Open Access Journal |
| issn | 1735-2827 2383-3890 |
| language | English |
| last_indexed | 2024-04-12T02:26:47Z |
| publishDate | 2016-03-01 |
| publisher | Iran University of Science and Technology |
| record_format | Article |
| series | Iranian Journal of Electrical and Electronic Engineering |
| spelling | doaj.art-a2384d660f4144d9bb7086653599ef252022-12-22T03:51:58ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902016-03-011216572An Interactive Fuzzy Satisfying Method Based on Particle Swarm Optimization for Multi-Objective Function in Reactive Power MarketN. Tabrizi0E. Babaei1M. Mehdinejad2 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Reactive power plays an important role in supporting real power transmission, maintaining system voltages within proper limits and overall system reliability. In this paper, the production cost of reactive power, cost of the system transmission loss, investment cost of capacitor banks and absolute value of total voltage deviation (TVD) are included into the objective function of the power flow problem. Then, by using particle swarm optimization algorithm (PSO), the problem is solved. The proposed PSO algorithm is implemented on standard IEEE 14-bus and IEEE 57-bus test systems and with using fuzzy satisfying method the optimal solutions are determined. The fuzzy goals are quantified by defining their corresponding membership functions and the decision maker is then asked to specify the desirable membership values. The obtained results show that solving this problem by using the proposed method gives much better results than all the other algorithms.http://ijeee.iust.ac.ir/browse.php?a_code=A-10-1515-2&slc_lang=en&sid=1Reactive power market Particle swarm optimization Total voltage deviation Fuzzy satisfying method. |
| spellingShingle | N. Tabrizi E. Babaei M. Mehdinejad An Interactive Fuzzy Satisfying Method Based on Particle Swarm Optimization for Multi-Objective Function in Reactive Power Market Iranian Journal of Electrical and Electronic Engineering Reactive power market Particle swarm optimization Total voltage deviation Fuzzy satisfying method. |
| title | An Interactive Fuzzy Satisfying Method Based on Particle Swarm Optimization for Multi-Objective Function in Reactive Power Market |
| title_full | An Interactive Fuzzy Satisfying Method Based on Particle Swarm Optimization for Multi-Objective Function in Reactive Power Market |
| title_fullStr | An Interactive Fuzzy Satisfying Method Based on Particle Swarm Optimization for Multi-Objective Function in Reactive Power Market |
| title_full_unstemmed | An Interactive Fuzzy Satisfying Method Based on Particle Swarm Optimization for Multi-Objective Function in Reactive Power Market |
| title_short | An Interactive Fuzzy Satisfying Method Based on Particle Swarm Optimization for Multi-Objective Function in Reactive Power Market |
| title_sort | interactive fuzzy satisfying method based on particle swarm optimization for multi objective function in reactive power market |
| topic | Reactive power market Particle swarm optimization Total voltage deviation Fuzzy satisfying method. |
| url | http://ijeee.iust.ac.ir/browse.php?a_code=A-10-1515-2&slc_lang=en&sid=1 |
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