Population based evolutionary optimization techniques for optimal allocation and sizing of Thyristor Controlled Series Capacitor

• Main Authors: Rahul Agrawal, S.K. Bharadwaj, D.P. Kothari
• Format: Article
• Language: English
• Published: SpringerOpen 2018-12-01
• Series: Journal of Electrical Systems and Information Technology
• Online Access: http://www.sciencedirect.com/science/article/pii/S2314717218300114

During the last decade, the application of Flexible AC Transmission System (FACTS) devices in electrical power system increased due to their numerous advantages such as power transfer capability enhancement, reliability and security improvement and reactive power compensation. Although to obtain maximum advantage, their size and location should be optimal. Optimal position and size of Thyristor Controlled Series Capacitor (TCSC) in power system using evolutionary optimization techniques such as, Teaching Learning Based Optimization (TLBO), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) are presented in this paper. The minimization of transmission loss, the installation cost of TCSC and voltage deviation is considered as an objective function. To demonstrate the viability of the algorithms, it is validated on the IEEE 14 bus, IEEE 30 bus and Indian 75 bus systems. The results accomplish from TLBO are compared with the ABC and PSO to show the capability of the TLBO and its superiority over ABC and PSO. Keywords: ABC, FACTS, PSO, TCSC, TLBO, Transmission loss