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홍현문,최재호 ( Hyun Mun Hong,Jae Ho Choi ) 충북대학교 산업과학기술연구소 1996 산업과학기술연구 논문집 Vol.10 No.2
Abstract_Roman In this paper, it deals with tbe design and performance evaluation of power system stabilizer for generator excitation system to improve transient stability. First, the robust control theory is applying to the PSS(Power System Stabilizer)
홍덕표(Ducpyo Hong),이진목(Jinmok Lee),김수철(Soocheol Kim),최재호(Jaeho Choi),홍현문(Hyun-Mun Hong) 전력전자학회 2006 전력전자학술대회 논문집 Vol.- No.-
Power line communication: PLC which easy to install at anywhere near outlet for electric machine. PLC uses transmission line for voltage of which is 60 ㎐. Signals don't affect to electric machine in PLC because they are very smaIl voltage. One of the important thing is the processes of adding signal to power line and extracting the signal from power line, the other is to choose the strong modulation method which sends signals long distance without loosing in PLC channel. but PLC channel have very high and variable noise and attenuation and then it is very hard to transmit optimally between the transmitter and the receiver. After all, impedance and noise problems of PLC channel must be overcame. Noises of 2 kinds which are A WGN abd impulse noise and attenuation are created. To overcome the noise. Recently, Multi-carrier Modulation: MCM methods like as OFDM and DMT which are divide the channel into many sub-channel have been studied. those are powerful communication methods in PLC. In this paper, PLC channels made up of 3 numbers of noise and attenuation are simulated for getting BER by Matlab simulink.
이진목(Jinmok Lee),홍덕표(Ducpyo Hong),김수철(Soocheol Kim),최재호(Jaeho Choi),홍현문(Hyun-Mun Hong) 전력전자학회 2005 전력전자학술대회 논문집 Vol.- No.-
Development of nonlinear loads and compensation instruments make PQ(Power Quality) problem into important issue. Few studies by signal processing and pattern classification as NN(Neural Network), Wavelet Transform, and Fuzzy present feature extraction. A lot of input features make not always good result and they are difficult to make realtime system. Thus, The dimentionality reduction is indispensable process. PCA(Principal Component Analysis) reduces high-dimensional input features onto a lower-dimensional subspace effectively. It will be useful to apply to realtime system and NN.