Title :
An Overview of Placement of TCSC for Enhancement of Power System Stability
Author :
Dixit, Shishir ; Agnihotri, Ganga ; Srivastava, Laxmi ; Singh, Ankita
Author_Institution :
Dept..of Electr. Eng., Madhav Inst. of Tech. & Sc., Gwalior, India
Abstract :
Flexible Alternating Current Transmission Systems (FACTS) represents a vast development in the area of power system operation and control. This paper gives an overview about application of series connected Flexible alternating current transmission system (FACTS) for enhancement of power system performance like transfer stability, secure voltage profile and reduce the system losses etc. FACTS devices require huge capital investment. Therefore, heuristic techniques are used for optimal location and sizing of series FACTS controllers like Genetic Algorithm (GA), Particle Swarm Optimization (PSO) etc. This paper gives details of optimal placement and sizing of FACTS devices based on different evolutionary techniques which is used for minimization of transmission loss, enhancement of stability of power system. In this study one of the FACTS devices is used as a scheme for enhancement of power system stability. Proper installation of FACTS devices also results in significant reduction of transmission loss. In this review, TCSC is selected as the compensation device.
Keywords :
flexible AC transmission systems; genetic algorithms; particle swarm optimisation; power system stability; FACTS devices; GA; PSO; TCSC; flexible alternating current transmission systems; genetic algorithm; particle swarm optimization; power system control; power system operation; power system performance enhancement; power system stability enhancement; secure voltage profile; series FACTS controllers; transfer stability; transmission loss minimization; Genetic algorithms; Optimization; Particle swarm optimization; Power capacitors; Power system stability; Propagation losses; Thyristors; FACTS devices; Optimal Sizing; Particle Swarm Optimization; TCSC; Transmission Loss Minimization;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.247