Neural Network Predictive Control Applied to Power System Stability
作者： Steven Ball
DOI: 10.1007/978-3-540-44999-7_5
关键词: Model predictive control 、 Control system 、 Artificial neural network 、 Control engineering 、 Adaptive control 、 Computer science 、 Stability (learning theory) 、 PID controller 、 Dynamical system 、 Electric power system
摘要: In this paper we consider the problem of power system stability with an application predictive control systems, and in particular systems which rely on Neural Networks to maintain stability. The work focuses how a hybrid utilizing neural networks has capabilities improve electric grid when used place traditional i.e. PID type controllers. Testing is done using simulation dynamical different schemes implemented, resulting measure through controllers can be justified.
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