Optimal Location and Parameter Setting of FACTS Devices based on WIPSO and ITLBO for Power System Security Enhancement under Single Contingency
H. Arul Devi1, S. Padma2

1H. Arul Devi, Research Scholar, Department of Electrical Engineering, Annamalai University, Annamalai Nagar (Tamil Nadu), India.
2S. Padma, Assistant Professor, Department of Electrical Engineering, Annamalai University, Annamalai Nagar (Tamil Nadu), India. 

Manuscript received on 10 August 2017 | Revised Manuscript received on 18 August 2017 | Manuscript Published on 30 August 2017 | PP: 177-185 | Volume-6 Issue-6, August 2017 | Retrieval Number: F5161086617/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In electric power system, finding optimal location and setting of Flexible AC Transmission System (FACTS) devices have been proved to be complex system and it’s under single contingency. This paper presents a new approach which is based on Improved Teaching Learning Based Optimization (ITLBO) and Weight Improved Partial Swarm Optimization (WIPSO) to find the optimal location and parameter setting of Unified Power Flow Controller (UPFC) and Static Var Compensator (SVC) to achieve optimal performance of power system network. The effectiveness of the proposed method is tested on IEEE 14-bus system .The results show that, based on ITLBO and WIPSO can significantly minimizing the Over Load Index and the Voltage Violations Index that can successfully achieve that proper setting and placement of FACTS devices.
Keywords: Improved Teaching Learning Based Optimization (ITLBO); Weight Improvement of Particle Swarm Optimization (WIPSO); Static Var Compensator (SVC); Unified Power Flow Controller (UPFC); Line Overload Sensitivity Index (LOSI); Over Load Index (OLI), Voltage Violation Index (VVI).

Scope of the Article: Deep Learning