Continuous control of a synchronous generator's active and reactive power connected to network by using fuzzy neural networks algorithms

Abstract

The fuzzy logic controller based on the fuzzy set theory provides a useful tool for converting the linguistic control rules from the expert knowledge into automatic control rules [1]. By using fuzzy automatic rules from the heuristic or mathematical strategies, complex processes can be controlled effectively in many situations. But the most important and difficult point is how to obtain the proper control rules for a given system. In addition to that Artificial Neural Networks (ANN) is successfully used in many areas such as fault detection, control and signal processing in our daily technology. Artificial Neural Networks have nonlinear structure and this is an effective feature that it approaches to the results of learning phase. Then, it gives results in test phase in short time (the degree about 10⁻³ second). It is a very preferable according to the other approaching methods.

In this study, generalized fuzzy logic controller was resembled by writing its software in Q — basic programming language. Active and reactive power control of a generator connected to infinite bus system was fulfilled effectively by the fuzzy logic controller which is supported by artificial neural networks. As well as this, the software of the system's simulation results were given.