A course in fuzzy systems and control
A course in fuzzy systems and control
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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Power systems may not capable of utilizing full transmission capacity. The process of re-regulation causes more challenges with regards to technical and trading issues. Restructuring of electricity industry may need some management criteria in order to improve technical as well as economical efficiency. Under the new scheme of power markets, congestion management is a crucial problem that is needed to be considered. Congestion relief can be handled using FACTS devices, where transmission capability may be improved. TCSC and SVC are two FACTS devices and they are used in this paper to reduce the congestion. In this paper, real genetic algorithm (RGA) is used for optimization process while analytical hierarchy process (AHP) with Dimensional Serialization Valuing Mechanism is implemented to evaluate RGA fitness function. The effectiveness of the proposed methodology is shown through a 33-bus radial distribution system [1].