Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm

One of the biggest problems with distribution systems correspond to the load unbalance created by power demand of customers. This becomes a difficult task to solve with conventional methods. Therefore, this paper uses integer linear programming and Branch and Bound algorithm to balance the loads in the three phases of the distribution system, employing stored data of power demand. Results show that the method helps to decrease the unbalance factor in more than 10%, by selecting the phase where a load should be connected. The solution may be used as a planning tool in distribution systems applied to installations with systems for measuring power consumption in different time intervals. Furthermore, in conjunction with communications and processing technologies, the solution could be useful to implement with a smart grid.

[1]  M. Matos,et al.  Distribution Systems Reconfiguration Based on OPF Using Benders Decomposition , 2009, IEEE Transactions on Power Delivery.

[2]  Nikhil Gupta,et al.  A novel method for simultaneous phase balancing and mitigation of neutral current harmonics in secondary distribution systems , 2014 .

[3]  S.E. Collier,et al.  Real time distribution analysis for electric utilities , 2008, 2008 IEEE Rural Electric Power Conference.

[4]  Gevork B. Gharehpetian,et al.  Application of particle swarm optimization for distribution feeder reconfiguration considering distributed generators , 2008, Appl. Math. Comput..

[5]  Mo-Yuen Chow,et al.  Phase balancing using mixed-integer programming [distribution feeders] , 1998 .

[6]  Roberto Ballesteros Horta,et al.  Balance de Cargas en Circuitos Secundarios de Distribución , 2011 .

[7]  M. J. Rider,et al.  Optimal Conductor Size Selection and Reconductoring in Radial Distribution Systems Using a Mixed-Integer LP Approach , 2013, IEEE Transactions on Power Systems.

[8]  T. Yuvaraj,et al.  DSTATCOM allocation in distribution networks considering load variations using bat algorithm , 2017 .

[9]  Felix F. Wu,et al.  Network reconfiguration in distribution systems for loss reduction and load balancing , 1989 .

[10]  Ljupco Kocarev,et al.  Dynamic intelligent load balancing in power distribution networks , 2015 .

[11]  G. Schweickardt,et al.  Metaheuristics approaches to solve combinatorial optimization problems in distribution power systems. An application to Phase Balancing in low voltage three-phase networks , 2016 .

[12]  Balarko Chaudhuri,et al.  Electric Springs for Reducing Power Imbalance in Three-Phase Power Systems , 2015, IEEE Transactions on Power Electronics.

[13]  Arsalan Najafi,et al.  A practical approach for distribution network load balancing by optimal re‐phasing of single phase customers using discrete genetic algorithm , 2019, International Transactions on Electrical Energy Systems.

[14]  M. Sathiskumar,et al.  A self adaptive hybrid differential evolution algorithm for phase balancing of unbalanced distribution system , 2012 .

[15]  Jose Sicchar,et al.  A Load-Balance System Design of Microgrid Cluster Based on Hierarchical Petri Nets , 2018, Energies.