The application of artificial intelligence for power flow problem in power networks

B. Rasan *, A. Al-Nafiey

Department of Electrical Engineering, College of Engineering, University of Babylon, Hilla, Iraq


Power flow problem is one of the most important issues in power networks. Artificial neural networks (ANN) are new and efficient tools in many applications. In last decades artificial neural networks have vastly applied in control systems, pattern recognition problems, prediction problems, noise cancellation, function approximation, and many other problems. The artificial neural networks have excellent capabilities in function approximation and solving of nonlinear problems. Therefore, in this study application of artificial neural networks has been proposed for the power flow solution. There are some methods and algorithms for power flow solution, such as the Newton method. But these methods and algorithms are very sensitive to initial solutions of the problem. Therefore the algorithm simply traps to local minima. For evaluating the proposed intelligent method, the one real world power system is applied. The mentioned power system has ten generators and thirty nine terminals. The obtained results show that the proposed hybrid system has good performance and capability in solving of a power flow problem.


Power flow, Neural network, Generator, Terminal, Performance

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Article history

Received 15 December 2018, Received in revised form 3 March 2019, Accepted 15 March 2019

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Rasan B and Al-Nafiey A (2019). The application of artificial intelligence for power flow problem in power networks. Annals of Electrical and Electronic Engineering, 2(5): 1-5

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