Open Access Open Access  Restricted Access Subscription or Fee Access

Implementation of Power Quality Analysis Using Radial Basis Function and Fuzzy Logic

P. Pramila, S. Purushothaman

Abstract


The paper presents implementation of neurofuzzy methods for estimating power quality. The electrical signal is collected and decomposed to obtain features. The estimated features were used as input parameters to Radial Basis Function (RBF) and Fuzzy Logic (FL) for training and testing to get the final weights. The resulted final weights were used for testing the proposed algorithms to estimate the power quality of the electrical signal.


Keywords


Radial Basis Function (RBF), Fuzzy Logic (FL), Power Quality Analysis

Full Text:

PDF

References


Ghosh A.K., Lubkeman D.L., 1995, The classification of power system disturbance waveforms using a neural network approach, Power Delivery, IEEE Transactions on, Vol.10, No.1, pp.109-115.

Hassan Feshki Farahani, 2011, Fuzzy Based Power Quality Disturbances Identification in Power Systems J. Basic. Appl. Sci. Res., Vol.1, No.12, pp.2635-2640.

Khoa, Ngo Minh; Viet, Dinh Thanh; Hieu, Nguyen Huu, 2013, Classification of power quality disturbances using wavelet transform and K-nearest neighbor classifier," Industrial Electronics (ISIE), 2013 IEEE International Symposium on, pp.1,4, 28-31 May 2013, doi: 10.1109/ISIE.2013.6563601.

Khoa, Ngo Minh; Viet, Dinh Thanh; Hieu, Nguyen Huu, Classification of power quality disturbances using wavelet transform and K-nearest neighbor classifier, Industrial Electronics (ISIE), 2013 IEEE International Symposium on, pp.1-4.

Liu Hua; Wang Yuguo; Zhao Wei, 2007, Power Quality Disturbances Detection and Classification Using Complex Wavelet Transformation and Artificial Neural Network, Control Conference, CCC 2007. Chinese, pp.208-212, July 26, 2007, doi: 10.1109/CHICC.2006.4347508.

Mahmoud S. Awad, 2012, Review Power Quality Issues, Modern Applied Science, Vol.6, No.2, pp.52-59.

Manimala K., and Selvi K., 2007, Power Quality Disturbances Classification Using Probabilistic Neural Network, Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on, Vol.1, pp.207, 211, 13-15, doi: 10.1109/ICCIMA.2007.204.

Perunicic B., Mallini M., Wang Z., Liu, Y., 1998, Power quality disturbance detection and classification using wavelets and artificial neural networks, Harmonics and Quality of Power Proceedings, 1998. Proceedings. 8th International Conference On, Vol.1, pp.77-82, 14-18 doi: 10.1109/ICHQP.1998.759843.

Rodriguez, A., Ruiz I.E., Aguado J., Lopez J.J., Martin F.I., Muñoz F., 2010, Classification of power quality disturbances using Wavelet and Artificial Neural Networks," Industrial Electronics (ISIE), 2010 IEEE International Symposium on, Vol., pp.1589,1594, doi: 10.1109/ISIE.2010.5636343.

Saikia L.C., Borah S.M., and Pait S., 2010, Detection and classification of power quality disturbances using wavelet transform, fuzzy logic and neural network, India Conference (INDICON), 2010 Annual IEEE, pp.1-5, doi: 10.1109/INDCON.2010.5712674.


Refbacks

  • There are currently no refbacks.