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Power Flow Analysis by Artificial Neural Network
International Journal of Energy and Power Engineering
Volume 2, Issue 6, December 2013, Pages: 204-208
Received: Oct. 30, 2013; Published: Nov. 30, 2013
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Serhat Berat EFE, Department of Electrical Engineering, Fırat University, Elazığ, Turkey
Mehmet CEBECİ, Department of Electrical Engineering, Fırat University, Elazığ, Turkey
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Computer based methods used to analysis the power systems are developed instead of the steady state of mathematical methods. By the development of computer technology, solution of the network problems gets easier. Increment of the necessity to electrical energy by the development of technology, whereas the increment rate of raw energy sources doesn’t enough, it have made it mandatory to use the energy sources efficiently. Interconnected networks formed by the connection between not only the domestic sources and customers, but also between the different countries for the optimization and for the efficient use of the sources. Electrical engineers faced by the planning and optimization problems of developing interconnected networks. By this way, the requirement of the use of intelligent systems and computer analysis of power systems has become inevitable. In this study, power flow analysis the of a power system that consist five busbars performed by designed neural network. Results are compared by the results that gained by the analysis with classic Gauss- Seidel method of the same system, then the success of the neural network is investigated.
Power Flow Analysis, Artificial Neural Networks, Gauss-Seidel Method
To cite this article
Serhat Berat EFE, Mehmet CEBECİ, Power Flow Analysis by Artificial Neural Network, International Journal of Energy and Power Engineering. Vol. 2, No. 6, 2013, pp. 204-208. doi: 10.11648/j.ijepe.20130206.11
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