A GENETIC ALGORITHM-BASED APPROACH FOR THREE-PHASE FAULT EVALUATION IN A DISTRIBUTION NETWORK

Authors

  • Chikomborero Shambare
  • Yanxia Sun
  • OdunAyo Imoru

DOI:

https://doi.org/10.47839/ijc.19.3.1891

Keywords:

Autonomy, Evolutionary algorithms, Genetic Algorithm, IEC 60909, Robust, Short-circuit fault, Stochastic

Abstract

Standard IEC 60909 provides all the basic information that is used in the evaluation of three-phase short circuit faults. However, it uses numerous estimations in its fault evaluation procedures. It estimates voltage factors, resistance to reactance ratios (R/X), resistance to impedance ratios (R/Z) and other scaling factors. These estimates do not cater for every nominal voltage. Users often have to approximate these values. In this paper, adjustments were made to the genetic algorithm (GA) with regards to gene replacements and arrangement of scores and expectation. During fault computation, the GA was used to stochastically determine R/X and R/Z ratios with regards to the parameters of the power system. The GA was tested on a nominal voltage that is properly catered for by Standard IEC. The GA results and the IEC values were within an approximate range. This implies that the developed GA can be further used to determine these ratios for nominal voltages that are not sufficiently accounted for by Standard IEC. This leads to obtaining precise fault values in all instances.

References

J. C. Das, Short-Circuit in AC and DC Systems ANSI, IEEE and IEC Standards, CRC Press, Boca Raton, 2017.

S. Osowski, and R. Salat, “Fault location in transmission line using hybrid neural network,” COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 21, issue 1, pp. 18-30, 2002. https://doi.org/10.1108/03321640210410715

O. P. Malik, and A. A. Sallam, Electric Distribution Systems, New Jersey: John Wiley & Sons, 2011.

K. Dębowski, and M. Pasko, “Symmetrization of asymmetrical nonlinear three‐phase load supplied from non‐ideal sinusoidal voltage source,” COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 28, issue 3, pp. 512-522, 2009. https://doi.org/10.1108/03321640910940819

N. Tleis, Power Systems Modelling and Fault Analysis Theory and Practice, Elsevier, Oxford, 2008.

M. Sarlak, and S.M. Shahrtash, “SVM‐based method for high‐impedance faults detection in distribution networks,” COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 30, issue 2, pp. 431-450, 2011. https://doi.org/10.1108/03321641111101014

J. Zhu, Optimization of Power System Operation, Second Edition, IEEE Press, John Wiley & Sons, New Jersey, NJ, 2015.

A. Bakshi, and S.V. Kulkarni, “Towards short‐circuit proof design of power transformers,” COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 31, issue 2, pp. 692-702, 2012. https://doi.org/10.1108/03321641211200662

G. Cvetkovski, L. Petkovska, and P. Lefley, “Optimal design of single phase permanent magnet brushless DC motor using particle swarm optimisation,” COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 33, issue 6, pp. 1863-1876, 2014. https://doi.org/10.1108/COMPEL-11-2013-0379

S. Leva, and A.P. Morando, “Lossy three‐phase transmission line transient analysis by Park approach,” COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 24 issue 3, pp. 1041-1060, 2005. https://doi.org/10.1108/03321640510571237

O. Imoru, M. A. Bhaskar, A. A. G. Jimoh, and Y. Haman, “Diagnosis of stator shorted-turn faults in induction machines using discrete wavelet transform,” African Journal of Science, Technology, Innovation and Development, vol. 9, issue 3, pp. 349-355, 2017. https://doi.org/10.1080/20421338.2017.1327933

S. O. Obadan, and Z. Wang, “A hybrid optimization approach for complex nonlinear objective functions,” International Journal of Computing, vol. 17, issue 2, pp. 102-112, 2018.

H. Fan, “A modification to particle swarm optimization algorithm,” Engineering Computations, vol. 19, issue 8, pp. 970-989, 2002, https://doi.org/10.1108/02644400210450378

L. Sahoo, A.K. Bhunia, and D. Roy, “Reliability optimization in stochastic domain via genetic algorithm,” International Journal of Quality & Reliability Management, vol. 31, issue 6, pp. 698-717, 2014. https://doi.org/10.1108/IJQRM-06-2011-0090

J. C. Das, Power System Analysis - Short-Circuit Load Flow and Harmonics, Second Edition, CRC Press, Boca Raton, 2016.

IEC 60909-0, Short-Circuit Currents in Three-Phase a.c. Systems. Calculation of Currents International Standard, 2001.

IEC 60909-0, Short-Circuit Currents in Three-Phase a.c. Systems. Calculation of Currents International Standard, 2016.

A. Mathur, V. Pant, and B. Das, “Unsymmetrical short-circuit analysis for distribution system considering loads,” International Journal of Electrical Power and Energy Systems, vol. 70, issue 1, pp. 27-38, 2015.

F. B. Costa, et al., “Real-time detection of transients induced by high-impedance faults based on boundary wavelet transform,” IEEE Trans. Industry Applications, vol. 51, issue 1, pp. 5312-5323, 2015.

H. W. Lim, and N. A. M. Isa, “Particle swarm optimization with increasing topology connectivity,” Engineering Applications of Artificial Intelligence, vol. 27, issue 1, pp. 80-102, 2014.

P. Ghamisi, and J. A. Benediktsson, “Feature selection based on hybridization of genetic algorithm and particle swarm optimization,” IEEE Geoscience and Remote Sensing Letters, vol. 12, issue 2, pp. 303-313, 2015.

J.C. Das, Power System Analysis Short-Circuit Load Flow and Harmonics, Second Edition, CRC Press, Georgia, 2012.

T.Z.E. Benhacine, A. Nesba, S. Mekhtoub, and R. Ibtiouen, “A new approach for steady state analysis of three-phase SEIG feeding single-phase load,” COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 38, issue 1, pp. 46-67, 2019. https://doi.org/10.1108/COMPEL-11-2017-0474

A. Campoccia, E.R. Sanseverino, and G. Zizzo, “A mathematical approach for studying interconnected earthing systems inside MV networks,” COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 26, issue 5, pp. 1364-1391, 2007. https://doi.org/10.1108/03321640710823064

E. N. Juszczak, and M. Radzik, “The FEM Analysis of Non-symmetrical Short Circuit Forces and Fields in the Window of Convertor Transformer,” COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 11, issue 1, pp. 213-216, 1992. https://doi.org/10.1108/eb051790

E.R. Sanseverino, A. Campoccia, M.L. Di Silvestre, and G. Zizzo, “A simple unsynchronized two‐end algorithm for faults location and identification in electrical distribution systems,” COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 31, issue 2, pp. 636-655, 2012. https://doi.org/10.1108/03321641211200626

IEC 909-4, Short-Circuit Currents in Three-Phase a.c. Systems. Examples for the Calculation of Short-Circuit Currents, 2000.

D.F.D. Carvalho, and C.J.A. Bastos‐Filho, “Clan particle swarm optimization,” International Journal of Intelligent Computing and Cybernetics, vol. 2, issue 2, pp. 197-227, 2009. https://doi.org/10.1108/17563780910959875

Y. Yao, Y. Wang, L. Xing, and H. Xu, “An optimization method of technological processes to complex products using knowledge-based genetic algorithm,” Journal of Knowledge Management, vol. 19, issue 1, pp. 82-94, 2015. https://doi.org/10.1108/JKM-11-2014-0454

J. Ababneh, “Greedy particle swarm and biogeography-based optimization algorithm,” International Journal of Intelligent Computing and Cybernetics, vol. 8, issue 1, pp. 28-49, 2015. https://doi.org/10.1108/IJICC-01-2014-0003

A.K. Rath, D.R. Parhi, H.C. Das, P.B. Kumar, M.K. Muni, and K. Salony, “Path optimization for navigation of a humanoid robot using hybridized fuzzy-genetic algorithm,” International Journal of Intelligent Unmanned Systems, vol. 7, issue 3, pp. 112-119, 2019. https://doi.org/10.1108/IJIUS-11-2018-0032

H. Hedayati, S.A. Nabaviniaki, and A. Akbarimajd, “A method for placement of DG units in distribution networks,” IEEE Transactions on Power Delivery, vol. 23, issue 3, pp. 1620-1628, 2008.

D. Das, “A fuzzy multiobjective approach for network reconfiguration of distribution systems,” IEEE Transactions on Power Delivery, vol. 21, issue 1, pp. 202-209, 2006.

H. Falaghi, M.R. Haghifam, and C. Singh, “Ant colony optimization-based method for placement of sectionalizing switches in distribution networks using a fuzzy multiobjective approach,” IEEE Transactions on Power Delivery, vol. 24, issue 1, pp. 268-276, 2009.

Downloads

Published

2020-09-27

How to Cite

Shambare, C., Sun, Y., & Imoru, O. (2020). A GENETIC ALGORITHM-BASED APPROACH FOR THREE-PHASE FAULT EVALUATION IN A DISTRIBUTION NETWORK. International Journal of Computing, 19(3), 418-433. https://doi.org/10.47839/ijc.19.3.1891

Issue

Section

Articles