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The power quality issues have become an exponentially demanding research field for electric utilities and customers, which usually involve transient variation in power supply voltage or current. This paper presents a new method using wavelet transformation and neural network, investigating the power quality in qualitative and quantitative results. The major feature of wavelet transformation is the...
This paper presents a support vector regression machine (SVRM) to predict the energy margin (EM) of power systems subjected to severe disturbances. The nonlinear relationship between the pre-fault, during-fault and post-fault power systems parameters and the degree of stability of the system under post-fault state is captured by the SVRM trained offline. Significant generators are selected by feature...
The transient caused by capacitor switching is an important power quality (PQ) problem. Switching the capacitor may cause a disturbance to a voltage-sensitive load or a resonance in the system. This paper presents a new method to identify the positions of the transients caused by capacitors through the PQ monitoring system. The discrete wavelet transform is used to extract the features of transients...
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