Optimal Placement of SVC for Losses Reduction and Voltage Profile Improvement in Electrical Power System Using Improved Gravitational Search Algorithm

The development of the more increasing power electronics allows the use of FACTS devices to manage and improve either the flow of power or the stability of the power system. One type of FACTS device studied is the SVC. In this study, optimization of SVC is used to determine the most appropriate location and rating in order to obtain the optimum power transfer. Optimization methods used in this study is Improved Gravitational Search Algorithm (IGSA). Improved GSA uses Interval Type-2 Fuzzy Logic System (IT2FLS). IGSA implementation uses Java-Bali power system 500 kV. Simulation results show that the simulation results better with the use of SVC placement than with the GSA and without SVC placement. Placement of SVC with the right location and rating using the IGSA and GSA can reduce power loss in the transmission line and also can improve the voltage profile according to the standards set, in the range of 0.95 ± 1.05pu when compared without SVC

[1]  N. Yorino,et al.  FACTS Devices Allocation With Control Coordination Considering Congestion Relief and Voltage Stability , 2011, IEEE Transactions on Power Systems.

[2]  B. Goswami.  OPTIMAL Placement of FACTS Devices by Genetic Algorithm for the Increased Load Ability of a Power System , 2012 .

[3]  Ch Rambabu,et al.  Enhancement of Transient Stability Limit Using Fuzzy Controlled TCSC , 2015 .

[4]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[5]  Serhat Duman,et al.  GRAVITATIONAL SEARCH ALGORITHM FOR ECONOMIC DISPATCH WITH VALVE-POINT EFFECTS , 2010 .

[6]  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.

[7]  Adi Soeprijanto,et al.  Type 2 fuzzy adaptive binary particle swarm optimization for optimal placement and sizing of distributed generation , 2011, 2011 2nd International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering.

[8]  B. Bakhshideh Zad,et al.  Gravitational Search Algorithm Optimization for Dynamic Economic Load Dispatch with Valve-Point Effects , 2013 .

[9]  Adi Soeprijanto,et al.  Optimal Placement and Sizing of TCSC using Gravitational Search Algorithm , 2012 .

[10]  Ismail Musirin,et al.  Optimal Location and Sizing of SVC Using Particle Swarm Optimization Technique , 2011, 2011 First International Conference on Informatics and Computational Intelligence.

[11]  Adi Soeprijanto,et al.  Optimal Design of TCPST Using Gravitational Search Algorithm , 2012, 2012 Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation.

[12]  Azah Mohamed,et al.  Improved Harmony Search Algorithm for Optimal Placement and Sizing of Static Var Compensators in Power Systems , 2011, 2011 First International Conference on Informatics and Computational Intelligence.

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