Open Access Open Access  Restricted Access Subscription or Fee Access

An Improved Crossover Genetic Algorithm with Distributed Generator (DG) Installation for DNR Restoration in Reducing Power Losses

(*) Corresponding author

Authors' affiliations



Most common problems with distribution network are having stable, flexible and reliable restoration system after experiencing fault occurrences to ensure the continuity of power supply. This paper proposes a new algorithm for distribution network reconfiguration (DNR) with the simultaneous operation of DG for fault restoration on 132/33 kV of the IEEE 69 buses system. The proposed algorithm is conducted in three (3) cases; maximum, moderate and minimum fault conditions on the tested system. There are four (4) DGs that were located at the test system with optimal sizing based on the maximum total connected load at the particular area. An immediate isolation of faulted areas and the best radial number of switches configuration for unfaulted areas during the restoration process with minimum power losses are effectively obtained using the proposed algorithm. The effectiveness of the proposed algorithm was verified by comparing with the conventional Genetic Algorithm. From the analysis, the proposed algorithm gives best solutions for fitness function and minimum computational time compared to the Genetic algorithm.
Copyright © 2015 Praise Worthy Prize - All rights reserved.


Fault Occurrences; Distributed Generation (DG); Distribution Network Reconfiguration (DNR); Power Losses; Genetic Algorithm (GA)

Full Text:



O.Siirto, J.Kuru and M.Lehtonen, Fault Location, Isolation and Restoration in a City Distribution Networ, IEEE, 2014.

M.B. Jorge, V.O. Hector, L.G. Miguel and P.D. Hector, Multi-fault service restoration in distribution networks considering the operating mode of distributed generation, Electric Power Systems Research, 2014, Vol.116:67-76.

C. Angelo and P. Selejan, Technologies of the self healing grid, 22rd International Conference on Electricity Distribution, CIRED 2013:1 – 4.

A.Botea, J.rintanen and D.Banerjee, Optimal Reconfiguration for Supply Restoration with Informed A*Search, IEEE Transactions on Smart Grid, June 2012, Vol. 3, No.2.

R. S. Rao and S. V. L. Narasimham, A new heuristic approach for optimal network reconfiguration in distribution systems,International Journal of Applied Science, Engineering and Technology, vol. 5:15–21, 2009.

J.D.Glover, M.S.Sarma and T.J.Overbye, Power System Analysis & Design (Cengage Learning, 2012, SI Edition, Fifth Edition).

R.Siripuram and Dr.D.M.V. Kumar, Optimal Sizing and Location of Distributed Generation Using Improved Teaching-Learning Based Optimization Algorithm, International Journal of Advanced Technology & Engineering Research (IJATER), 2014.

M.Shaaban and J.O.Petinrin, Sizing and Sitting of Distributed Generation in Distribution Systems for Voltage Improvement and Loss Reduction, International Journal of Smart Grid and Clean Energy, 2013.

M.Junjie, W.Yulong and L.Yang, Size and Location of Distributed Generation in Distribution System Based on Immune Algorithm,Systems Engineering Procedia, 2012, Vol. 4:124 – 132.

N. H. Shamsudin , N. A. Abidullah, A. R. Abdullah, M. S. Mamat, M. F. Sulaima, H. I.Jaafar, A new technique for the reconfiguration ofradial distribution network for loss minimization, International Journal of Engineering and Technology (IJET), Vol.6 (No.5): 2488-2495, October-November 2014.

B. H. Rao and S. Sivanagaraju, Optimum Allocation and Sizing of Distributed Generations Based on Clonal Selection Algorithm for Loss Reduction and TechnicalBenefit of Energy Savings, IEEE, 2012.

N.H. Shamsudin, M.S. Mamat, A.F.A. Kadir, M.F. Sulaiman and M. Sulaiman, An Optimal Distribution Network Reconfiguration and Sizing of Distributed Generation using Modified Genetic Algorithm, International Journal of Applied Engineering Research, Vol. 9(No. 20):6766-6777.2014.

MF Sulaima, N. H. Shamsudin, H.I. Jaafar, WM Dahalan, H Mokhlis, A DNR and DG Sizing Simultaneously by Using EPSO, International Conference on Intelligent Systems Modelling and Simulation pp:405-410, 2014.

N.H. Shamsudin, N.F. Omar, A.R. Abdullah, M.F. Sulaima, N.A. Abidullah and H.I. Jaafar, An Improved Genetic Algorithm for Power Losses Minimization using Distribution Network Reconfiguration Based on Re-rank Approach, Research Journal of Applied Sciences, Engineering and Technology 8(8): 1029-1035, 2014.

R.Singh, G.S.Brar and N.Kaur, Optimal Placement of DG in Radial Distribution Network for Minimization of Losses, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 1 (Issue 2), August 2012.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2024 Praise Worthy Prize