Reliability optimization on power systems network using genetic algorithm

  • A. E. Airoboman Nigeria Defence Academy
  • Emmanuel A. Ogujor University of Benin, Benin City, Nigeria
Keywords: Feeders, Genetic algorithm, Nigeria, Optimization


In this study, reliability optimization of a non-linear transmission network using Genetic Algorithm (GA) based optimization approach is presented and proposed. A GA based algorithm was developed for Koko, Guinness, Nekpenekpen, Ikpoba-Dam, Switch station, Etete and GRA 33kV tertiary transmission feeders within Benin Metropolis, Nigeria and was used to determine the optimal performance of the feeders’ reliability and availability through the minimization of downtime and the Mean Time between Failure (MTBF) by the appropriate selection of the objective functions and constraints. The equality and inequality constraints for each feeder on the network were defined, thereafter, codes were written on the Matlab 2016a environment to optimize the selected parameters. The results from the study showed a reduction in downtime of 5.63%, 26.87%, 34.20%, 5.42% 8.37%, 5.18% and 10.97% and an increment increased in MTBF by 4.95%, 19.87%, 4.58%, 3.85%, 4.88%, 5.77% and 13.56% for Guinness, Etete, Nekpenekpen, GRA, Switch station and Ikpoba-Dam feeders respectively. The obtained results, therefore, yielded an average corresponding improvement on the network’s reliability and availability by 1.85% and 2.83% respectively. Conclusively, the desired result reached in this paper validates the robustness of the GA tool in reliability studies. However, conscious effort must be geared concerning the ways and manners the system is operated in order to achieve desired results.


Download data is not yet available.

Author Biography

Emmanuel A. Ogujor, University of Benin, Benin City, Nigeria

Professor of Electrical Engineering, Department of Electrical/Electronics Engineering, University of Benin, Benin City, Nigeria


B. Sareni, L. Krahenbuhl, and A. Nicolas, "Efficient genetic algorithms for solving hard constrained optimization problems", IEEE Trans. on Magnetcis., vol. 36, pp. 1027-1030, 2000.

B. Abdelhadi, A.Benoudijit, and N. Nait, "Identification of induction machine parameters using a new adaptive genetic algorithm", Electric Power Components and Systems, vol. 32, no. 2, pp. 763-784, 2004.

R. Hassan, B. Cohanim, O. Dewack, and G. Venter, "A Comparison of particle swarm optimization and the genetic algorithm", in 46th Structural Dynamics and Materials Conference, Houston, Texas, 2004, pp. 1-13.

M. Tyo, A. Airoboman, P. Amaize, and N. Idiagi, "Losses optimization of induction motor using genetic algorithm", Int. J. Eng. Sci. Res. Technol., vol. 5, no. 2, pp. 644-648, 2016.

M. Shahrewaz, R. Machial, M. S. Alam, and A. Rteil, "Optimized shear design equation for slender concrete beams reinforced with FRP bars and stirrups using genetic algorithm and reliability analysis", Engineering Structures, vol. 107, pp. 151-165, 2016.

N. Nezamoddini, S. S. Lam, N. Nasim, and L. Sarah, "Reliability topology based network design using pattern mining guided genetic algorithm", Expert Systems with Applications, vol. 42, no. 21, pp. 7483-7492, 2015.

P. Zeng, R. Jimenez, and Jurado-Pina, "System reliability analysis of layered soil slopes using fully specified slip surfaces", Engineering Geology, vol. 193, pp. 106-117, 2015.

W. L. Theo, J. S. Lim, W. S. Ho, H. Hashim, and C. T. Lee, "Review of distributed generation system planning and optimization techniques: comparison of numerical and mathematical modeling methods", Renew. Sustain. Energy Rev., vol. 67, pp. 531-573, 2017.

B. Canizes, J. Soares, M. Hugo, and M. C. Costa-Lobo, "Optimal approach for reliability assessment in radial distribution networks", IEEE Systems J., vol. 11, no. 3, pp. 1-11, 2017.

M. S. Okundamiya, J. O. Emagbetere, and E. A. Ogujor, "Modeling and optimum capacity allocation of micro-grids considering economy and reliability", J. Telecomm. Electron. Comp. Eng., vol. 9, no. 4, pp. 55-61, 2017.

F. Onime, and G. Adegboyega, "Reliability analysis of power distribution system in Nigeria: a case study of ekpoma network, edo state", Int. J. Electron. Electri. Eng., vol. 2, no. 3, pp. 175-182, 2014.

J. J. Popoola, A. A. Ponle, and T. O. Ale, "Reliability worth assessment of electric power utility in Nigeria: residential customer survey results", AUJ.T, vol. 14, no. 3, pp. 217-224, 2011.

F. I. Izuegbunam, S. I. Uba, I. O. Akwukwaegbu, and D. O. Dike, "Reliability evaluation of Onitsha power distribution network via analytical technique and the impact of PV system," IOSR J. Electri. Electron. Eng., vol. 9, no. 3, pp. 15-22, 2014.

K. Sulaiman and U. Ali, "Reliability analysis of distribution transformer: a case study of gwiwa business unit, sokoto", Greener J. Sci. Eng. Technol. Res., vol. 3, no. 2, pp. 88-92, 2013.

I. Samuel, A. Awelewa, J. Katende, and I. Odigwe, "Fault tree-based reliability assessment of a 132-kv transmission line protection scheme", American J. Eng. Res., vol. 2, no. 10, pp. 100-106, 2013.

A. E. Airoboman, and E. A. Ogujor, "On the identification of failure prone feeders in the Nigerian power system network using VFTM technique", Int. J. Adv. Eng. Technol., vol. 2, no. 2, pp. 27-30, 2018.

S. Hamed, B. Ayyoub, and N. Al-Zabin, “Reliability optimization of complex systems using genetic algorithm under criticality constraint”, In: F. Zavoral, J. Yaghob, P. Pichappan, and E. El-Qawasmeh (eds.) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol. 88, Springer, Berlin, Heidelberg, 2010.

A. K. Bhunia, and L. Sahoo, “Genetic algorithm based reliability optimization in interval environment”, In: N.Nedjah, L. dos Santos Coelho, V. C. Mariani, and L. de Macedo Mourelle (eds.) Innovative Computing Methods and Their Applications to Engineering Problems. Studies in Computational Intelligence, vol. 357, Springer, Berlin, Heidelberg.

L. Sahoo, "Studies on reliability optimization problems by genetic algorithm," submitted to the University of Burdwan., Burdwan--713104 West Bengal, India., PhD thesis 2012.

D. Coit, and E. Zio, "The evolution of system reliability optimization", Reliability Engineering and System Safety, vol. 192, 2019.

D. C. Idoniboyeobu, B. A. Wokoma, and N. C. Adiele, "Improvement of electrical power reliability for afam community in rivers state, Nigeria," American J. Eng. Res., vol. 7, no. 5, pp. 162-167, 2018.

M. H. El-Werfelli, "Genetic algorithms applications to power system security schemes", University of Bath, PhD Thesis, 2009.

R. Ouiddir, M. Rahli, and L. Abdelhakem-Koridak, "Economic dispatch using a genetic algorithm: application to western Algeria’s electrical power network", J. Inform. Sci. Eng., vol. 21, pp. 659-668, 2005.

O. C. Akinyokun, G. B. Iwasokun, and A. M. Ojo, "Optimal transformer allocation in electrical distribution using genetic algorithm", Int. J. Physical Sci., vol. 9, no. 14, pp. 309-319, 2014.

A. E. Airoboman, E. A. Ogujor, and I. K. Okakwu, "Reliability analysis of power system network: a case study of transmission company of Nigeria, benin city," in IEEE PES Power Africa Conference, the Gimpa, Accra, Ghana, 2017, pp. 99-104.

J. Alberah, G. A. Olarinoye, and Y. Jibril, "11kV Pama distribution feeder reconfiguration for power loss minimization and reliability improvement", ATBU J Sci. Technol. Educat., vol. 7, no. 2, pp. 16-27, 2019.

E. A. Ogujor, and P. Kuale, "Fault events reduction in electric power distribution reliability assessment using Pareto analysis," Int. J. Electri. Power Eng., vol. 1, no. 4, pp. 463-467, 2007.

I. Okakwu, I. Ade, and E. Oluwasogo, "Reliability improvement through identification of few significant faults in a distribution feeder," American Int. J. Sci. Technol. Eng. Mathematics, vol. 11, no. 2, pp. 108-114, 2015.

How to Cite
Airoboman, A. E., & Ogujor, E. A. (2020). Reliability optimization on power systems network using genetic algorithm. Journal of Electrical, Control and Telecommunication Research, 2, 18-29.
Research Articles