The effect of different membership functions in power load flow

A. Dvorak *, T. Novotny

Faculty of Informatics, Masaryk University, Brno, Czech Republic


Power load flow is one of the most important subjects in the electrical engineering field. There are several methods for this purpose. A fuzzy concept is one of the new and efficient tools in many applications. In last decade’s fuzzy logic have vastly applied in control systems, pattern recognition problems, prediction problems, noise cancellation, function approximation, and many other problems. The fuzzy logic tools have excellent capabilities in function approximation and solving of nonlinear problems. Therefore, in this study application of fuzzy logic tools have 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 a 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, Fuzzy logic, Generator, Terminal, Performance

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Article history

Received 5 February 2019, Received in revised form 10 June 2019, Accepted 14 June 2019

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Dvorak A  and Novotny T (2019). The effect of different membership functions in power load flow. Annals of Electrical and Electronic Engineering, 2(7): 11-15

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