Determination of the Optimal Switching Frequency for Distribution System Reconfiguration

This paper shows that there is great potential for saving money when reconfiguring distribution systems at an optimal frequency. Studies are conducted on hourly, daily, weekly, monthly, and seasonal reconfiguration plans, based on the 8760 hourly loads of a year. Switches that actively participate in the reconfiguration process are first identified. These sectionalizers are substituted by smart (remotely controlled) switches. According to the results, two economic indices: total savings and return on investment are used to determine the optimal switching frequency. Numerical simulations are conducted on three distribution systems including one with 119 buses that is commonly used as a benchmark for reconfiguration of large-scale distribution systems. The results reveal that there exist large potential gains on frequent switching reconfiguration. Therefore, detailed studies must be carried out to determine the benefits of the dynamic reconfiguration for particular distribution systems.

[1]  Saeed Jazebi,et al.  Reconfiguration of distribution networks to mitigate utilities power quality disturbances , 2012 .

[2]  Taher Niknam,et al.  Optimal Distribution Feeder Reconfiguration for Reliability Improvement Considering Uncertainty , 2014, IEEE Transactions on Power Delivery.

[3]  Brian Birge,et al.  PSOt - a particle swarm optimization toolbox for use with Matlab , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[4]  D. Das,et al.  Impact of Network Reconfiguration on Loss Allocation of Radial Distribution Systems , 2007, IEEE Transactions on Power Delivery.

[5]  S. Singh,et al.  Reconfiguration of Power Distribution Systems Considering Reliability and Power Loss , 2012, IEEE Transactions on Power Delivery.

[6]  Lei Tang,et al.  A novel method for distribution system feeder reconfiguration using black-box optimization , 2013, 2013 IEEE Power & Energy Society General Meeting.

[7]  Y. Huang.  Enhanced genetic algorithm-based fuzzy multi-objective approach to distribution network reconfiguration , 2002 .

[8]  G. B. Jasmon,et al.  New contingency ranking technique incorporating a voltage stability criterion , 1993 .

[9]  N. C. Sahoo,et al.  A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems , 2006 .

[10]  P. Bastard,et al.  Online reconfiguration considering variability demand: applications to real networks , 2004, IEEE Transactions on Power Systems.

[11]  Ahmad M. Tahboub,et al.  Distribution System Reconfiguration for Annual Energy Loss Reduction Considering Variable Distributed Generation Profiles , 2015, IEEE Transactions on Power Delivery.

[12]  C. Su,et al.  Network Reconfiguration of Distribution Systems Using Improved Mixed-Integer Hybrid Differential Evolution , 2002, IEEE Power Engineering Review.

[13]  Mehdi Ehsan,et al.  Distribution Switches Upgrade for Loss Reduction and Reliability Improvement , 2015, IEEE Transactions on Power Delivery.

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

[15]  Saeed Jazebi,et al.  DSTATCOM allocation in distribution networks considering reconfiguration using differential evolution algorithm , 2011 .

[16]  Aggelos S. Bouhouras,et al.  Selective Automation Upgrade in Distribution Networks Towards a Smarter Grid , 2010, IEEE Transactions on Smart Grid.

[17]  Dariusz Czarkowski,et al.  On the Transient Behavior of Large-Scale Distribution Networks During Automatic Feeder Reconfiguration , 2012, IEEE Transactions on Smart Grid.

[18]  A. C. Lisboa,et al.  A Multiobjective Heuristic for Reconfiguration of the Electrical Radial Network , 2013, IEEE Transactions on Power Delivery.

[19]  Saeed Jazebi,et al.  Distribution Network Reconfiguration in the Presence of Harmonic Loads: Optimization Techniques and Analysis , 2014, IEEE Transactions on Smart Grid.

[20]  E. J. Oliveira,et al.  Optimal reconfiguration and capacitor allocation in radial distribution systems for energy losses minimization , 2010 .

[21]  S. Sivanagaraju,et al.  Discrete Particle Swarm Optimization to Network Reconfiguration for Loss Reduction and Load Balancing , 2008 .

[22]  M. Haghifam,et al.  Duration based reconfiguration of electric distribution networks using dynamic programming and harmony search algorithm , 2012 .

[23]  Chan-Nan Lu,et al.  Distribution Feeder Scheduling Considering Variable Load Profile and Outage Costs , 2009, IEEE Transactions on Power Systems.

[24]  Chuin-Shan Chen,et al.  Energy loss reduction by critical switches , 1993 .