Passive Filter Solutions and Simulation Performance in Industrial Plants

Abstract

In this study, the information of the structure and application manners of passive filtration systems (series inductance attached compansation system) that are used in filtration of harmonics in energy systems, was given. In various points of distribution system measurement was made with harmonic analyser. Similarity was made with Simplorer Simulation Center 6.0 (SSC 6.0) programme which presents successful results in power electronics application of harmonic involved energy system. In simulation condition by applying passive filtration on this system, the effects of filter on this system was examined and analysis were made on results.

Keywords

• Harmonics,Harmonic filters,Passive filter

References

1. Efe S.B. 2015. Harmonic filter application for an industrial installation, Engineering of Modern Electric Systems 13th International Conference on, Oradea, Romania, 11-12 June.
2. Kocatepe C. 2003. Elektrik Tesislerinde Harmonikler. Istanbul: Birsen Yayınevi.
3. Rüstemli S. Cengiz M.S. 2015. Active filter solutions in energy systems, Turk J Elec Eng & Comp Sci, vol. 23, pp. 1587-1607.
4. Yurci Y. Cengiz MS. 2016. Smart Grid on Optimization, International Conference on Natural Science and Engineering, pp. 2325-2329, March 19-20, Kilis, Turkey
5. Efe, S.B., 2015. Analysis and elimination of harmonics by using passive filters, BEU Journal of Science and Technology Vol. 5 (2), pp. 48 – 51.
6. Atiç S. Parlakyıldız Ş. İlcihan Z. 2015. Smart Meter and Turkey, Bitlis Eren Univ J Sci & Technology 5(2), pp. 92–96.
7. Cengiz Ç. A Research on Smart Grids in Turkey, International Conference on Natural Science and Engineering, pp. 2273-2277, March 19-20, 2016, Kilis, Turkey
8. Ertugrul ÖF. 2011. Enerji Verimliliği Çalışmaları ve Yenilenebilir Enerji Kaynaklarının Bölgede Kullanılabilirliği ve Yatırım Olanakları, Batman, Siirt, Şırnak İlleri Enerji Forumu.

9. Cengiz Ç. Electricity Generation from Solar World, International Conference on Natural Science and Engineering, pp. 2259-2264, March 19-20, 2016, Kilis, Turkey
10. Cengiz Ç. Aydoğdu H. 2008. Sağdan Rasgele Sansürlü Verilerde Gamma Yenileme Fonksiyonunun Tahmini, VI. İstatistik Günleri Sempozyumu Bildiri Özetleri Kitabı, pp. 45, Ondokuz Mayıs Üniversitesi, Samsun.
11. Cengiz Ç. Aydoğdu H. 2016. Exponential Renewal Function and its Statistical Characteristics, 2nd International Researchers, Statisticians and Young Statisticians Congress, 4-8 May, Ankara, Turkey
12. Cengiz Ç. Özbey F. 2016. Panel Poisson Regression, 2nd International Researchers, Statisticians and Young Statisticians Congress, 4-8 May, Ankara, Turkey
13. Ertugrul ÖF. 2016. Forecasting electricity load by a novel recurrent extreme learning machines approach. International Journal of Electrical Power & Energy Systems, 78, pp 429–435.
14. Cengiz Ç. Aydoğdu H. 2015. Gamma renewal functions in censored data, Bitlis Eren Universty Journal Science & Technology, 5(2), pp. 97-101.
15. Efe, SB, 2016. Effects of Faults on Power-Flow Analysis for Microgrids, 8th International Ege Energy Symposium and Exhibition, Afyon, 11-13 May.
16. Kocaman B., 2013. Akıllı Şebekeler ve Mikro Şebekelerde Enerji Depolama Teknolojileri, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 2(1), pp. 119-127.