DocumentCode :
602742
Title :
Recognition and simulation of electromagnetic transients in power systems of Southern Vietnam
Author :
Huu Phuc Nguyen ; Nhan Bon Nguyen ; Huy Anh Quyen
Author_Institution :
Dept. of Electr. & Electron. Eng., Ho Chi Minh City Univ. of Technol., Ho Chi Minh City, Vietnam
fYear :
2012
fDate :
12-14 Dec. 2012
Firstpage :
556
Lastpage :
561
Abstract :
This paper presents a research of electromagnetic transients in power systems based on the three issues: identification of voltage transient disturbances, analysis of power system transient, and modeling of distributed-parameter transmission lines. The first issue includes (a) recognizing the presence of power quality disturbances in supply voltage and (b) classifying any existing deviations from a particular type. Various techniques using artificial neural networks and Fuzzy associative memories, Neuro-Fuzzy systems based on Wavelet transform are used to identify power quality disturbances. The second issue is to analyze the power system transients using the wavelets technique as opposed to the trapezoidal rule method. A novel developed algorithm has the following properties: 1) it is time-domain working, so that circuit nonlinearity can be handled and numerical accuracy can be well controlled, unlike the frequency-domain method where numerical error may become uncontrollable during the inverse Laplace transform; 2) the wavelets property of localization in both time and frequency domains makes a uniform approximation possible, which is generally not achieved in time-stepping methods. The last issue is to model a transmission line based on passive network synthesis for representing the nonlinear frequency dependence of the characteristic impedance matrix function. The synthesized passive network of interconnected RLC elements preserves at any frequency the inherent stability property of this matrix function for any power transmission circuits. The network parameters are identified using the constrained optimization by which the synthesized network response is matched with the actual response derived from the characteristic impedance matrix. With the trapezoidal rule of numerical integration applied to individual elements of the synthesized network, discrete time-domain recursive sequences are derived, and then included in the overall transmission circuit model. The- network synthesis procedure developed is applied to a representative transmission line, and comparative studies indicate high accuracy being achieved. The research is then applied and validated to a southern of Vietnam power system in study.
Keywords :
Laplace transforms; fuzzy neural nets; impedance matrix; integration; inverse transforms; optimisation; power engineering computing; power supply quality; power system transients; power transmission faults; power transmission lines; wavelet transforms; Southern Vietnam; Vietnam power system; artificial neural networks; characteristic impedance matrix function; circuit nonlinearity; constrained optimization; discrete time-domain recursive sequences; distributed-parameter transmission line modeling; electromagnetic transient recognition; electromagnetic transient simulation; frequency-domain method; fuzzy associative memories; interconnected RLC elements; inverse Laplace transform; network parameters; neuro-fuzzy systems; nonlinear frequency dependence; numerical error; numerical integration; passive network synthesis; power quality disturbances; power system transient analysis; power transmission circuit model; stability property; synthesized network response; time-frequency domain method; time-stepping methods; trapezoidal rule method; voltage transient disturbance identification; wavelet transform; wavelets technique; Electromagnetic transient analysis; Multi-Resolution Analysis; Neuro-Fuzzy; Power system transient; artificial neural networks and Fuzzy associative memories; passive circuits; power system; transmission circuit; wavelet transform; z-transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IPEC, 2012 Conference on Power & Energy
Conference_Location :
Ho Chi Minh City
Type :
conf
DOI :
10.1109/ASSCC.2012.6523328
Filename :
6523328
Link To Document :
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