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ATC enhancement using TCSC via artificial intelligent techniques |
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| Authors: | M Rashidinejad H Farahmand M Fotuhi-Firuzabad AA Gharaveisi |
| Affiliation: | 1. Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;2. International Research Center for Science and Technology, Mahan, Iran;3. Department of Electrical Engineering, Sharif University of Technology, Azadi Ave., Tehran, Iran |
| Abstract: | Procurement of optimum available transfer capability (ATC) in the restructured electricity industry is a crucial challenge with regards to open access to transmission network. This paper presents an approach to determine the optimum location and optimum capacity of TCSC in order to improve ATC as well as voltage profile. Real genetic algorithm (RGA) associated with analytical hierarchy process (AHP) and fuzzy sets are implemented as a hybrid heuristic technique in this paper to optimize such a complicated problem. The effectiveness of the proposed methodology is examined through different case studies. |
| Keywords: | Available transfer capability (ATC) Analytical hierarchy process (AHP) Real genetic algorithm (RGA) Flexible AC transmission systems (FACTS) Electricity markets |
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