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In this paper, the algorithm of multi-model predictive control based on neural network is proposed and applied in 160MW Bell-Åström model. Firstly, the algorithm is described. Each sub-controller is designed based on state space model predictive control, and the global controller is gained from neural network weights. Then, sub-models of Bell-Åström are given. Lastly, multi-model predictive control...
In this paper, a novel fault location method based on Principal Component Analysis (PCA) is proposed, in which synchronized information data are utilized provided by the WAMS/PMU measurement system. PCA method is an efficient mathematic tool to reduce dimensions. Therefore, the state matrix, consisting of raw synchrophasor information versus multi-points and various times, is compressed effectively...
With the widely installation of Phasor Measurement Units (PMUs) in power system and the increasing requirement of the real-time monitoring and control, a novel power system topology analysis algorithm is proposed with high precise information from PMUs to improve the performance of current network topology analysis. First of all, a method of identifying switch status is established to correct the...
In this paper, we adopt a novel applied approach to fault detection based on data mining theory. In our researches, global information will be introduced into the electric power system, we are using mainly cluster analysis technology of data mining theory to resolve fast and exact discrimination of faulty components and faulty sections, and finally accomplish fault detection in electric power systems...
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