Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm
Transmission Network Expansion Planning (TNEP) is a basic part of power network planning that determines where, when and how many new transmission lines should be added to the network. So, the TNEP is an optimization problem in which the expansion purposes are optimized. Artificial Intelligence (AI)...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2012-01-01
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| Series: | International Journal of Industrial Engineering Computations |
| Subjects: | |
| Online Access: | http://www.growingscience.com/ijiec/Vol3/IJIEC_2012_8.pdf |
| _version_ | 1818482371494674432 |
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| author | Mohammad Taghi Ameli Mojtaba Shivaie Saeid Moslehpour |
| author_facet | Mohammad Taghi Ameli Mojtaba Shivaie Saeid Moslehpour |
| author_sort | Mohammad Taghi Ameli |
| collection | DOAJ |
| description | Transmission Network Expansion Planning (TNEP) is a basic part of power network planning that determines where, when and how many new transmission lines should be added to the network. So, the TNEP is an optimization problem in which the expansion purposes are optimized. Artificial Intelligence (AI) tools such as Genetic Algorithm (GA), Simulated Annealing (SA), Tabu Search (TS) and Artificial Neural Networks (ANNs) are methods used for solving the TNEP problem. Today, by using the hybridization models of AI tools, we can solve the TNEP problem for large-scale systems, which shows the effectiveness of utilizing such models. In this paper, a new approach to the hybridization model of Probabilistic Neural Networks (PNNs) and Harmony Search Algorithm (HSA) was used to solve the TNEP problem. Finally, by considering the uncertain role of the load based on a scenario technique, this proposed model was tested on the Garver’s 6-bus network. |
| first_indexed | 2024-12-10T11:46:52Z |
| format | Article |
| id | doaj.art-734513132b8d4bb6ba992c920db93605 |
| institution | Directory Open Access Journal |
| issn | 1923-2926 1923-2934 |
| language | English |
| last_indexed | 2024-12-10T11:46:52Z |
| publishDate | 2012-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | International Journal of Industrial Engineering Computations |
| spelling | doaj.art-734513132b8d4bb6ba992c920db936052022-12-22T01:50:03ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342012-01-01317180Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithmMohammad Taghi AmeliMojtaba ShivaieSaeid MoslehpourTransmission Network Expansion Planning (TNEP) is a basic part of power network planning that determines where, when and how many new transmission lines should be added to the network. So, the TNEP is an optimization problem in which the expansion purposes are optimized. Artificial Intelligence (AI) tools such as Genetic Algorithm (GA), Simulated Annealing (SA), Tabu Search (TS) and Artificial Neural Networks (ANNs) are methods used for solving the TNEP problem. Today, by using the hybridization models of AI tools, we can solve the TNEP problem for large-scale systems, which shows the effectiveness of utilizing such models. In this paper, a new approach to the hybridization model of Probabilistic Neural Networks (PNNs) and Harmony Search Algorithm (HSA) was used to solve the TNEP problem. Finally, by considering the uncertain role of the load based on a scenario technique, this proposed model was tested on the Garver’s 6-bus network.http://www.growingscience.com/ijiec/Vol3/IJIEC_2012_8.pdfArtificial intelligenceHarmony search algorithmProbabilistic neural networksTransmission network expansion planning |
| spellingShingle | Mohammad Taghi Ameli Mojtaba Shivaie Saeid Moslehpour Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm International Journal of Industrial Engineering Computations Artificial intelligence Harmony search algorithm Probabilistic neural networks Transmission network expansion planning |
| title | Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm |
| title_full | Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm |
| title_fullStr | Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm |
| title_full_unstemmed | Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm |
| title_short | Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm |
| title_sort | transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm |
| topic | Artificial intelligence Harmony search algorithm Probabilistic neural networks Transmission network expansion planning |
| url | http://www.growingscience.com/ijiec/Vol3/IJIEC_2012_8.pdf |
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