IMPLEMENTATION OF HARMONICS POWER FACTOR METER USING FUZZY LOGIC
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Jun 10, 2020
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Abstract
In linear load conditions, power factor definition is unique. However increased use of power electronic devices, adjustable speed drives, and other nonlinear loads, causes the voltage and current waveforms to become non sinusoidal and highly distorted. In such a situation, different power factors are proposed. In this paper a new fuzzy based harmonics power factor (FHPF) meter is introduced to represent these power factors as a single index. The proposed harmonics power factor amalgamates the recommended PQIs, such as displacement power factor, transmission efficiency power factor and oscillation power factor. The FHPF was applied to non linear load with different distortion cases under, sinusoidal and non sinusoidal conditions. Considering the advantages of the fuzzy systems such as simplicity, ease of application, flexibility, speed and ability to deal with imprecision and uncertainties, this factor can be useful for power quality evaluation, cost-effective analysis of PQ mitigation techniques and billing purposes. It is shown that the new FHPF is expressive and accurately represents the existing power quality indices in all cases and in all situations. MATLAB simulations are performed. A hardware prototype of FHPF meter is developed using PIC. The current and voltage signals are sampled and the different power factors are calculated. Fuzzy logic coding is done and using a LCD, the index is displayed. The results are promising for implementation.
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References
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[2] Fayçal CHABNI, Rachid TALEB, M’hamed HELAIMI, High Order Harmonics Elimination in Modified Single Phase 5-level Cascaded H-bridge Inverter Using HGA, Journal of Electrical Engineering, Volume 17, no.3, 2017
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[11] H. Lev-Ari and A. M. Stankovic, A decomposition of apparent power in polyphase unbalanced networks in nonsinusoidal operation,, IEEE Trans. Power Syst., vol. 21, no. 1, pp. 438–440, Feb. 2006.
[2] Fayçal CHABNI, Rachid TALEB, M’hamed HELAIMI, High Order Harmonics Elimination in Modified Single Phase 5-level Cascaded H-bridge Inverter Using HGA, Journal of Electrical Engineering, Volume 17, no.3, 2017
[3] J. L.Willems, Reflections on apparent power and power factor in nonsinusoidal and polyphase situations, IEEE Trans. Power Del., vol. 19, no. 2, pp. 835–840, Apr. 2004
[4] Walid G, M. E. El-Hawary , A New Fuzzy-Based Representative Quality Power Factor for Nonsinusoidal Situations , IEEE Trans. Power Del., vol. 23, no. 2, pp. 930–936,April 2008.
[5] N. RathinaPrabha a,n, N.S.Marimuthu b, C.K.Babulal, Adaptive neuro-fuzzy inference system based representative quality power factor for power quality assessment, Neurocomputing , 2010, 2737–2743
[6] M. Markovska, D. Taskovski, Efficient implementation of QMF filter bank for power harmonic analysis on digital signal processor, Journal of Electrical Engineering, Volume 16, no.4, 2016
[7] H.-J. Zimmermann, Fuzzy Set Theory and Its Applications, 4th ed. 2001.
[8] L. S. Czarnecki, Power related phenomena in three-phase unbalanced systems, ,†IEEE Trans. Power Del., vol. 10, no. 3, pp. 1168–1176, Jul. 1995.
[9] D. Sharon, Power factor definitions and power transfer quality in nonsinusoidal situations, IEEE Trans. Instrum. Meas., vol. 45, no. 3, pp. 728–733, Jun. 1996.
[10] ] J. L.Willems, J. A. Ghijselen, and A. E. Emanuel, The apparent power concept and the IEEE standard 1459-2000, IEEE Trans. Power Del., vol. 20, no. 2, pt. 1, pp. 876–884, Apr. 2005.
[11] H. Lev-Ari and A. M. Stankovic, A decomposition of apparent power in polyphase unbalanced networks in nonsinusoidal operation,, IEEE Trans. Power Syst., vol. 21, no. 1, pp. 438–440, Feb. 2006.