Optimal placement of on-load tap changers in distribution networks using SA-TLBO method

Abstract This paper presents a multi-objective optimal location of on-load tap changers (OLTCs) in distribution systems at spirit of distributed generators (DGs) based on Teaching–Learning-Based optimization coupled with Simulated annealing algorithm (SA-TLBO). In the suggested algorithm, teacher and learner phases are modified by SA. The proposed algorithm utilizes several teachers and considers the teachers as an external cache to store found Pareto optimal solutions during the search process. The proposed approach allows the decision maker to take one of the Pareto optimal solutions (by trade-off) for different applications. The performance of the SA-TLBO algorithm on a 70-bus distribution network in comparison with other methods such as GA, PSO, SA and TLBO is remarkable.

[1]  M. T. Bishop,et al.  Single-phase voltage regulators and three-phase systems , 1996 .

[2]  B.A. de Souza,et al.  Microgenetic algorithms and fuzzy logic applied to the optimal placement of capacitor banks in distribution networks , 2004, IEEE Transactions on Power Systems.

[3]  S.-K. Chang,et al.  Optimal real-time voltage control , 1990 .

[4]  Ji-Pyng Chiou,et al.  Ant direction hybrid differential evolution for solving large capacitor placement problems , 2004 .

[5]  A. S. Safigianni,et al.  Optimum voltage regulator placement in a radial power distribution network , 2000 .

[6]  Taher Niknam,et al.  An efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective Distribution Feeder Reconfiguration , 2009 .

[7]  M.M.A. Salama,et al.  An integrated distributed generation optimization model for distribution system planning , 2005, IEEE Transactions on Power Systems.

[8]  Taher Niknam,et al.  A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators , 2010 .

[9]  Antonio José Gil Mena,et al.  Optimal distributed generation location and size using a modified teaching–learning based optimization algorithm , 2013 .

[10]  A. Y. Chikhani,et al.  Classification of capacitor allocation techniques , 2000 .

[11]  Taher Niknam,et al.  A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem , 2010 .

[12]  A. Augugliaro,et al.  Voltage regulation and power losses minimization in automated distribution networks by an evolutionary multiobjective approach , 2004, IEEE Transactions on Power Systems.

[13]  J. Teng.  A direct approach for distribution system load flow solutions , 2003 .

[14]  Miroslav Begovic,et al.  Capacitor placement for conservative voltage reduction on distribution feeders , 2004 .

[15]  D. Shirmohammadi,et al.  A compensation-based power flow method for weakly meshed distribution and transmission networks , 1988 .

[16]  Javad Olamaei,et al.  An efficient hybrid evolutionary optimization algorithm for daily volt/var control at distribution system including DGs , 2008 .

[17]  P. Pruvot,et al.  An improved voltage control on large-scale power system , 1996 .

[18]  M.A.S. Masoum,et al.  Optimal placement, replacement and sizing of capacitor Banks in distorted distribution networks by genetic algorithms , 2004, IEEE Transactions on Power Delivery.

[19]  Jean-Claude Vannier,et al.  OPTIMAL LOCATION OF VOLTAGE REGULATORS IN RADIAL DISTRIBUTION NETWORKS USING GENETIC ALGORITHMS , 2005 .

[20]  K. Tomsovic,et al.  Adaptive Power Flow Method for Distribution Systems with Dispersed Generation , 2002, IEEE Power Engineering Review.

[21]  M. Narimani,et al.  A multi-objective fuzzy adaptive PSO algorithm for location of automatic voltage regulators in radial distribution networks , 2012 .

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

[23]  Provas Kumar Roy,et al.  Multi-objective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems , 2014 .

[24]  O. Volcker,et al.  Discussion of "Insulation coordination for gas-insulated transmission lines (GIL)" and closure , 2001 .

[25]  C. J. Bridenbaugh,et al.  Voltage control improvement through capacitor and transformer tap optimization , 1992 .

[26]  P.P. Barker,et al.  Determining the impact of distributed generation on power systems. I. Radial distribution systems , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[27]  Taher Niknam,et al.  A practical algorithm for optimal operation management of distribution network including fuel cell power plants , 2010 .

[28]  Arthur Tay,et al.  A cooperative coevolutionary algorithm for multiobjective particle swarm optimization , 2007, 2007 IEEE Congress on Evolutionary Computation.

[29]  R. Venkata Rao,et al.  Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..

[30]  S. Civanlar,et al.  Volt/Var Control on Distribution Systems with Lateral Branches Using Shunt Capacitors and Voltage Regulators Part III: The Numerical Results , 1985, IEEE Transactions on Power Apparatus and Systems.

[31]  Provas Kumar Roy,et al.  Optimal capacitor placement in radial distribution systems using teaching learning based optimization , 2014 .

[32]  Taher Niknam,et al.  Multi-objective fuzzy adaptive PSO for placement of AVRs considering DGs , 2011, 2011 IEEE Power Engineering and Automation Conference.

[33]  W.M. Grady,et al.  Fuzzy approach for optimal placement and sizing of capacitor banks in the presence of harmonics , 2005, IEEE Transactions on Power Delivery.

[34]  M. Geethanjali,et al.  Optimal location and sizing determination of Distributed Generation and DSTATCOM using Particle Swarm Optimization algorithm , 2014 .

[35]  Payman Dehghanian,et al.  Optimal siting of DG units in power systems from a probabilistic multi-objective optimization perspective , 2013 .

[36]  Mojtaba Hoseini,et al.  A new multi objective optimization approach in distribution systems , 2014, Optim. Lett..

[37]  S. Civanlar,et al.  Volt/Var Control on Distribution Systems with Lateral Branches Using Shunt Capacitors and Voltage Regulators Part I: The Overall Problem , 1985, IEEE Transactions on Power Apparatus and Systems.

[38]  S. Civanlar,et al.  Volt/Var Control on Distribution Systems with Lateral Branches Using Shunt Capacitors and Voltage Regulators Part II: The Solution Method , 1985, IEEE Transactions on Power Apparatus and Systems.

[39]  I. Roytelman,et al.  Modeling of local controllers in distribution network applications , 2000 .