Optimal design of a single tuned passive filter to mitigate harmonics in power frequency

Electricity has been one of the most important necessities for industrialization, increasing living standard of people around the world. Power electronic devices are applied in industry as well as in domestic appliances. The excessive use of these devices cause power quality (PQ) problems in the pow...

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Pengarang-pengarang Utama: Soomro, Dur Muhammad, Almelian, M. M.
Format: Conference or Workshop Item
Diterbitkan: 2015
Subjek-subjek:
Capaian Atas Talian:http://eprints.uthm.edu.my/7161/
http://eprints.uthm.edu.my/7161/1/IC3E_2015_submission_049.pdf
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Ringkasan:Electricity has been one of the most important necessities for industrialization, increasing living standard of people around the world. Power electronic devices are applied in industry as well as in domestic appliances. The excessive use of these devices cause power quality (PQ) problems in the power system (PS), due to generation of harmonics. The consequences of harmonics include; increased probability in occurrence of resonance, neutral overload in 3-phase systems, overheating of all cables and equipment, loss of efficiency in electric machines, electromagnetic interference with communication systems, errors in measurements when using average reading meters, nuisance tripping of thermal protections. Many researches are being done to find out the best solution against the cause. For this, various tools and techniques are being improved and applied to mitigate such cause and enhance the PQ of the PS. One of the methods to mitigate harmonics is by designing and using passive filter. Moreover, it reduces the need of capacitor for supplying extra needed kVAr. Due to these two attracting features of Passive filter, its design and application can be found in many reasearches. The the main aspect of filter design has been challenging issue. This paper presents the optimal design of single tuned passive filter that its application is to mitigate harmonics in power frequency. The optimal parameters of this filter were calculated by using Lagrange interpolation method. The results were obtained by Matlab/simulation which shows the effectiveness of this filter.