A Study of Flicker Propagation and Mitigation in a Power Network Associated with Electric Arc Furnace Loads
碩士 === 國立中正大學 === 電機工程研究所 === 103 === Recently, many researchers have paid much attention on the issue of improving power quality in the power network. In order to analyze and mitigate the voltage flicker produced by electric arc furnace loads, it is necessary to utilize a generalized and precise mo...
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| Format: | Others |
| Language: | en_US |
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2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/2dh22t |
| Summary: | 碩士 === 國立中正大學 === 電機工程研究所 === 103 === Recently, many researchers have paid much attention on the issue of improving power quality in the power network. In order to analyze and mitigate the voltage flicker produced by electric arc furnace loads, it is necessary to utilize a generalized and precise model for simulation.
It is known that artificial neural network is a powerful tool for function learning and modeling nonlinear loads. This thesis proposes radial basis function neural network (RBFNN) and advanced look-up table (ALUT) based method for modeling the dynamic voltage-current characteristics of the electric arc furnace (EAF). By the comparison of the predicted and actual measured waveforms, it is shown that the proposed method has improved the generalization and accuracy of the model EAF.
Finally, the proposed EAF model is implemented by MATLAB/ SIMULINK for a complete steel plant power system simulation. The flicker propagation phenomena associated with EAF in operation are reported. At last, the compensator will be simulated and mitigate the voltage fluctuation caused by the EAF load.
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