Optimal Power Flow using Hybrid Teaching Learning Based Optimization Algorithm
Dr.K.Gnanambal, K.L.N College of Engineering; K.R.Jeyavelumani ,; H.Juriya Banu ,
optimal power flow-teaching learning based optimization-hybrid teaching learning algorithm-cross over property of genetic algorithm-comparison with other methods-minimization of cost-convergence
The flow of electric power in an interconnection system is known as power flow. Optimal Power Flow (OPF) refers to load flow that gives maximum system security by minimizing the overload. The main objective of OPF is to reduce the total cost of active power generation and to determine the loss and meet the total demand. This teaching learning algorithm technique is based on the influence of teachers on learners. This algorithm is a population-based method and uses a population of solutions to obtain the global solution. The population is considered as the group of learners or a class of learners. In this project, the Teaching Learning Based Optimization technique along with cross over property of Genetic algorithm is used to solve the optimal power flow problem. The obtained results indicate that the Teaching Learning Based Optimization provides useful and strong high quality solution when solving the optimal power flow problem with different complexities
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Paper ID: GRDCF002073
Published in: Conference : International Conference on Innovations in Engineering and Technology (ICIET - 2016)
Page(s): 237 - 243
Published in: Conference : International Conference on Innovations in Engineering and Technology (ICIET - 2016)
Page(s): 237 - 243