IMPERIALIST COMPETITIVE ALGORITHM FOR MINIMIZATION OF LOSSES BY OPTIMALLY LOCATING FACTS CONTROLLERS IN POWER SYSTEM

One of the key tasks to perform in the complicated operation and planning of the power system is the optimal power flow. The Unified Power Flow Controller (UPFC) is one of the Flexible AC Transmission System (FACTS) powerful power electronics device. The UPFC is capable of providing complex control of power systems. This paper focuses on optimally locating the Unified Power Flow Controller (UPFC) device in power system based on Static Voltage Stability Index (SVSI) technique using Imperialist Competitive Algorithm (ICA). The main objective of this paper is to employ ICA optimization technique which is applied to solve the optimal power flow problem in presence of UPFC device. The ICA optimization technique is also used to minimize the power losses and installation cost of UPFC device. Due to this, the voltage profile is improved thereby enhances the stability in power system. This technique is tested in standard IEEE 6-bus system, IEEE 14-bus system, IEEE 30-bus system. The performance of ICA is compared with other optimization techniques like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Ant Colony Optimization (ACO) and Gravitational Search Algorithm (GSA) to show the effectiveness of the algorithm. The ICA technique has a great ability in faster convergence characteristics.

[1]  Mohamad Reza Banaei,et al.  Dynamic stability enhancement of power system based on a typical unified power flow controllers using imperialist competitive algorithm , 2014 .

[2]  B. Allaoua,et al.  Optimal Power Flow Solution Using Ant Manners for Electrical Network , 2009 .

[3]  E. J. Stacey,et al.  UPFC-unified power flow controller: theory, modeling, and applications , 1998 .

[4]  G. T. Heydt,et al.  Power flow control and power flow studies for systems with FACTS devices , 1998 .

[5]  R. Jahani.  Optimal Placement of Unified Power Flow Controller in Power System Using Imperialist Competitive Algorithm , 2011 .

[6]  Ali Ajami,et al.  Optimal design of UPFC-based damping controller using imperialist competitive algorithm , 2012 .

[7]  S. Gerbex,et al.  Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms , 2001, IEEE Power Engineering Review.

[8]  Laszlo Gyugyi,et al.  Unified power-flow control concept for flexible AC transmission systems , 1992 .

[9]  Georgios C. Stamtsis,et al.  Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[10]  Vassilios Petridis,et al.  Optimal power flow by enhanced genetic algorithm , 2002 .

[11]  Jayanti Sarker,et al.  Solution of multiple UPFC placement problems using Gravitational Search Algorithm , 2014 .

[12]  Muhammad Murtadha Othman,et al.  Transmission Loss Minimization and UPFC Installation Cost using Evolutionary Computation for Improvement of Voltage Stability , 2010 .

[13]  Yanguang Sun,et al.  Application of Hybrid MOPSO Algorithm to Optimal Reactive Power Dispatch Problem Considering Voltage Stability , 2014, J. Electr. Comput. Eng..

[14]  Laszlo Gyugyi,et al.  Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems , 1999 .

[15]  Narain G. Hingorani,et al.  FACTS-flexible AC transmission system , 1991 .

[16]  Claudio R. Fuerte-Esquivel,et al.  A Newton-type algorithm for the control of power flow in electrical power networks , 1997 .

[17]  Mohammad Hassan Moradi,et al.  An efficient hybrid method for solving the optimal sitting and sizing problem of DG and shunt capacitor banks simultaneously based on imperialist competitive algorithm and genetic algorithm , 2014 .

[18]  S. J. Cheng,et al.  Application and comparison of computational intelligence techniques for optimal location and parameter setting of UPFC , 2010, Eng. Appl. Artif. Intell..

[19]  Mohsen Gitizadeh,et al.  TCSC allocation in power systems considering switching loss using MOABC algorithm , 2013 .