Optimal Placement and Sizing of Shunt FACTS Devices in Power Systems Using Heuristic Optimization Techniques: a Comprehensive Survey

The Static Var Compensator (SVC) and the Static Synchronous Compensator (STATCOM), as two components of Flexible AC Transmission System (FACTS) devices, play an important role in controlling the reactive power flow to the power network. Because of economic considerations, identifying the best location for installing the SVC and STATCOM is also important. The FACTS devices placement problem is commonly solved using heuristic optimization techniques which are diverse and have been the subject of ongoing enhancements. This paper presents a survey of the literature from the last decade that has focused on the various heuristic optimization techniques applied to determine optimal placement and sizing of the SVC and STATCOM. Streszczenie. W artykule analizuje sie optymalne usytuaowanie elementow SVC I STATCOM w systemie FACTS. Przedstawiono stan wiedzy wykorzystania do tego celu roznych heurystycznych metod optymalizacji. (Optymalne usytuowanie elementow SVC i STATCOM w systemie FACTS)

[1]  Michael Negnevitsky,et al.  A Messy Genetic Algorithm Based Optimization Scheme for SVC Placement of Power Systems under Critical Operation Contingence , 2008, 2008 International Conference on Computer Science and Software Engineering.

[2]  Narayana Prasad Padhy,et al.  Optimal location and controller design of STATCOM for power system stability improvement using PSO , 2008, J. Frankl. Inst..

[3]  Azah Mohamed,et al.  Optimal placement and sizing of Static Var Compensators in power systems using Improved Harmony Search Algorithm , 2011 .

[4]  Sanjay Kumar Jain,et al.  Evolutionary Algorithm Assisted Optimal Placement of FACTS Controllers in Power System , 2009 .

[5]  A.J. Conejo,et al.  Optimal Network Placement of SVC Devices , 2007, IEEE Transactions on Power Systems.

[6]  Ahad Kazemi,et al.  Optimal placement of Static VAR Compensators in distribution feeders for load balancing by genetic, algorithm , 2005 .

[7]  M. Jazaeri,et al.  A hybrid particle swarm optimization-genetic algorithm for optimal location of svc devices in power system planning , 2007, 2007 42nd International Universities Power Engineering Conference.

[8]  Abdelaziz Laifa,et al.  Optimal Location of SVC for Voltage Security Enhancement using MOPSO , 2009 .

[9]  Mohammad Khajehzadeh,et al.  A Survey on Meta-Heuristic Global Optimization Algorithms , 2011 .

[10]  M. Boudour,et al.  FACTS placement multiobjective optimization for reactive power system compensation , 2010, 2010 7th International Multi- Conference on Systems, Signals and Devices.

[11]  Ronald G. Harley,et al.  Optimal Allocation of a STATCOM in a 45 Bus Section of the Brazilian Power System Using Particle Swarm Optimization , 2006 .

[12]  M. Kalantar,et al.  A new approach for congestion management via optimal location of FACTS devices in deregulated power systems , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[13]  Subrata Majumdar,et al.  Active power loss minimization with FACTS devices using SA/PSO techniques. , 2009, 2009 International Conference on Power Systems.

[14]  Alan S. Perelson,et al.  The immune system, adaptation, and machine learning , 1986 .

[15]  Naoto Yorino,et al.  Comparative Study on the Application of Modern Heuristic Techniques to SVC Placement Problem , 2009, J. Comput..

[16]  Nitin Anand Shrivastava,et al.  Voltage profile enhancement through optimal placement of FACTS devices using Queen-Bee-Assisted GA , 2009, 2009 International Conference on Power Systems.

[17]  Leon M. Tolbert,et al.  Optimal allocation of shunt dynamic Var source SVC and STATCOM: a survey , 2006 .

[18]  K.Y. Lee,et al.  Placement of SVCs and Selection of Stabilizing Signals in Power Systems , 2007, IEEE Transactions on Power Systems.

[19]  Craig A. Tovey,et al.  On Honey Bees and Dynamic Server Allocation in Internet Hosting Centers , 2004, Adapt. Behav..

[20]  Ismail Musirin,et al.  PSO based technique for loss minimization considering voltage profile and cost function , 2011, 2011 5th International Power Engineering and Optimization Conference.

[21]  Boon-Teck Ooi,et al.  Assessment and control of the impact of FACTS devices on power system performance , 1996 .

[22]  Jiansheng Huang,et al.  Optimal SVC placement for voltage stability reinforcement , 1997 .

[23]  K. Srinivasa Rao,et al.  Placement of SVC for minimizing losses and maximizing Total Transfer Capability using Particle Swarm Optimization , 2011 .

[24]  A.F. Abidin,et al.  Static Var compensator planning using artificial immune system for loss minimisation and voltage improvement , 2004, PECon 2004. Proceedings. National Power and Energy Conference, 2004..

[25]  J. Baskaran,et al.  Optimal location of FACTS devices in a power system solved by a hybrid approach , 2006 .

[26]  K. Lee,et al.  A new metaheuristic algorithm for continuous engineering optimization : harmony search theory and practice , 2005 .

[27]  A. Prudenzi,et al.  A Model of Large Load Areas for Harmonic Studies in Distribution Networks , 1997, IEEE Power Engineering Review.

[28]  Q. Henry Wu,et al.  Optimal placement of FACTS devices by a Group Search Optimizer with Multiple Producer , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

[29]  Zong Woo Geem,et al.  A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..

[30]  Valentin Ilea,et al.  Optimal placement of FACTS to mitigate congestions and inter-area oscillations , 2011, 2011 IEEE Trondheim PowerTech.

[31]  M. A. Abido,et al.  Optimal location and setting of SVC and TCSC devices using non-dominated sorting particle swarm optimization , 2009 .

[32]  R.G. Harley,et al.  Optimal STATCOM Sizing and Placement Using Particle Swarn Optimization , 2006, 2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America.

[33]  S. Chitra,et al.  PSO Based Optimal Placement and Setting of FACTS Devicesfor Improving the Performance of Power Distribution System , 2011 .

[34]  J.V. Milanovic,et al.  Voltage sag cost reduction with optimally placed FACTS devices , 2007, 2007 9th International Conference on Electrical Power Quality and Utilisation.

[35]  A. Parizad,et al.  Application of HSA and GA in optimal placement of FACTS devices considering voltage stability and losses , 2009, 2009 International Conference on Electric Power and Energy Conversion Systems, (EPECS).

[36]  M. Saravanan,et al.  Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability , 2007 .

[37]  A. Parizad,et al.  On the use of harmony search algorithm in optimal placement of facts devices to improve power system security , 2009, IEEE EUROCON 2009.

[38]  J.R. Cedeno-Maldonado,et al.  Optimal Placement of Facts Controllers in Power Systems via Evolution Strategies , 2006, 2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America.

[39]  Weerakorn Ongsakul,et al.  PSO based tuning of FACTS controllers for maximizing the wind energy penetration in power systems , 2011, ISGT2011-India.

[40]  J.V. Milanovic,et al.  Generation Costs Reduction Through Optimal Allocation of FACTS Devices Using Low Discrepancy Sequences , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[41]  Marco Dorigo,et al.  Optimization, Learning and Natural Algorithms , 1992 .

[42]  José L. Bernal-Agustín,et al.  Optimal parameters of FACTS devices in electric power systems applying evolutionary strategies , 2007 .

[43]  N. Mithulananthan,et al.  Comparison of Shunt Capacitor, SVC and STATCOM in Static Voltage Stability Margin Enhancement , 2004 .

[44]  Mahmood Joorabian,et al.  Optimal placement of Multi-type FACTS devices in power systems using evolution strategies , 2011, 2011 5th International Power Engineering and Optimization Conference.

[45]  Nadarajah Mithulananthan,et al.  Comparison of PSS, SVC, and STATCOM controllers for damping power system oscillations , 2003 .

[46]  K. Lee,et al.  A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice , 2005 .

[47]  Azah Mohamed,et al.  A hybrid BCO/HS algorithm for optimal placement and sizing of static Var compensators in power systems , 2011 .

[48]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[49]  M.T. Bina,et al.  Application of Averaging Technique to the Power System Optimum Placement and Sizing of Static Compensators , 2005, 2005 International Power Engineering Conference.

[50]  C. Bulac,et al.  Optimal SVC placement in electric power systems using a genetic algorithms based method , 2009, 2009 IEEE Bucharest PowerTech.

[51]  Soodabeh Soleymani,et al.  Optimal allocation of SVC to enhance Total Transfer Capability using Hybrid Genetics Algorithm and Sequential Quadratic Programming , 2011, The 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thailand - Conference 2011.

[52]  B. Vahidi,et al.  Improvement of voltage stability and reduce power system losses by optimal GA-based allocation of multi-type FACTS devices , 2008, 2008 11th International Conference on Optimization of Electrical and Electronic Equipment.

[53]  N.G. Hingorani,et al.  High Power Electronics and flexible AC Transmission System , 1988, IEEE Power Engineering Review.

[54]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[55]  Manjaree Pandit,et al.  Comparison of PSO models for optimal placement and sizing of Statcom , 2011 .

[56]  S.H. Hosseinian,et al.  Optimal placement of multiple STATCOM , 2008, 2008 12th International Middle-East Power System Conference.

[57]  A. Samimi,et al.  A Novel Method for Optimal Placement of STATCOM in Distribution Networks Using Sensitivity Analysis by DIgSILENT Software , 2011, 2011 Asia-Pacific Power and Energy Engineering Conference.

[58]  Abraham Lomi,et al.  Selection of Static VAR Compensator Location and Size for System Voltage Stability Improvement , 2000 .

[59]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[60]  G. Venayagamoorthy,et al.  Comparison of Enhanced-PSO and Classical Optimization Methods: A Case Study for STATCOM Placement , 2009, International Conference on Intelligent System Applications to Power Systems.

[61]  J. Nikoukar,et al.  Optimal location of FACTS devices in a power system using modified particle swarm optimization , 2007, 2007 42nd International Universities Power Engineering Conference.