A Fast Heuristic Network Reconfiguration Algorithm to Minimize Loss and Improve Voltage Profile for a Smart Power Distribution System

Network reconfiguration is an efficient smart grid tool. Heuristic based network reconfiguration methods are very fast in convergence as well as simple to implement. In this paper, a fast heuristic network reconfiguration method is proposed to minimize active power loss and improve voltage profile. The method is explained using a 16 bus network. The reconfiguration results for a 70 bus distribution network and a 69 bus network with distributed generations are presented and compared. This heuristic method can be effectively used for online applications as such or can be mixed up with a meta- heuristic approach for faster convergence.

[1]  Chun Wang,et al.  Determination of Power Distribution Network Configuration Using Non-Revisiting Genetic Algorithm , 2013, IEEE Transactions on Power Systems.

[2]  N. Hadjsaid,et al.  Radial network reconfiguration using genetic algorithm based on the matroid theory , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[3]  Fei Ding,et al.  Hierarchical decentralized network reconfiguration for smart distribution systems-Part I: Problem formulation and algorithm development , 2015, 2015 IEEE Power & Energy Society General Meeting.

[4]  Antonio José Gil Mena,et al.  An efficient heuristic algorithm for reconfiguration based on branch power flows direction , 2012 .

[5]  J. Koenderink Q… , 2014, Les noms officiels des communes de Wallonie, de Bruxelles-Capitale et de la communaute germanophone.

[6]  J. Martín,et al.  A new heuristic approach for distribution systems loss reduction , 2008 .

[7]  Leonardo W. de Oliveira,et al.  New algorithm for reconfiguration and operating procedures in electric distribution systems , 2014 .

[8]  Morad Abdelaziz,et al.  Distribution network reconfiguration using a genetic algorithm with varying population size , 2017 .

[9]  D. Das A fuzzy multiobjective approach for network reconfiguration of distribution systems , 2006, IEEE Transactions on Power Delivery.

[10]  J. Martí,et al.  Minimum-loss network reconfiguration: A minimum spanning tree problem , 2015 .

[11]  M. A. Kashem,et al.  A geometrical approach for network reconfiguration based loss minimization in distribution systems , 2001 .

[12]  Thang Trung Nguyen,et al.  Multi-objective electric distribution network reconfiguration solution using runner-root algorithm , 2017, Appl. Soft Comput..

[13]  Pradeep R. Bijwe,et al.  Efficient reconfiguration of balanced and unbalanced distribution systems for loss minimisation , 2008 .

[14]  R. Romero,et al.  An Efficient Codification to Solve Distribution Network Reconfiguration for Loss Reduction Problem , 2008, IEEE Transactions on Power Systems.

[15]  C. Su,et al.  Variable scaling hybrid differential evolution for solving network reconfiguration of distribution systems , 2005 .

[16]  Sivkumar Mishra,et al.  A Simple Algorithm to Implement Active Power Loss Allocation Schemes in Radial Distribution Systems , 2012 .

[17]  Helon D. M. Braz,et al.  Distribution Network Reconfiguration Using Genetic Algorithms With Sequential Encoding: Subtractive and Additive Approaches , 2011, IEEE Transactions on Power Systems.

[18]  Bayat Akbar,et al.  MODIFIED UVDA SUITABLE FOR THE RECONFIGURATION OF FUTURE SMART GRIDS CONSIST OF MANY DISPERSED GENERATIONS , 2016 .

[19]  Akbar Bayat Uniform voltage distribution based constructive algorithm for optimal reconfiguration of electric distribution networks , 2013 .

[20]  J. J. Grainger,et al.  Distribution feeder reconfiguration for loss reduction , 1988 .

[21]  Ahmed R. AbulWafa A new heuristic approach for optimal reconfiguration in distribution systems , 2011 .

[22]  Michael Kurrat,et al.  Optimal reconfiguration of radial MV networks with load profiles in the presence of renewable energy based decentralized generation , 2014 .

[23]  Sivkumar Mishra,et al.  A simple algorithm for distribution system load flow with distributed generation , 2014, International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014).