Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

This paper presents, the SSR characteristic analysis of the system with combined active and passive series compensation methods to increase secure loading, stability and fast control of power in the transmission line. The hybrid compensation is done by considering SSSC (an active FACTS device) and fixed series capacitor (passive compensation) method. Also, the Flower Pollination Algorithm is adopted in designing of the SSSC with Type-1 controller based on the damping torque analysis. The SSR analysis is carried out using damping torque, eigenvalue and transient simulation methods which show the effectiveness of SSSC in the elimination of torsional interaction at the operating point. The SSSC with Type-1 controller shows better performance in reducing the network resonant frequency along with improved power transfer capability of line. © 2019 IEEE.

Department of Electrical Engineering

School of Electrical Engineering

Vellore Campus

VIT Unitversity

2019 Innovations in Power and Advanced Computing Technologies (i-PACT)

Analysis of SSR with SSSC using FPA based Voltage Controller

This paper analyses the effects of job release policies, priority scheduling rules and setup times on the performance of a dynamic job shop in a sequence dependent setup time environment. Two job release policies namely, immediate job release and job release based on a specified work-in-process are investigated. A simulation model of a realistic manufacturing system is developed for detailed analysis. The dynamic total work content method is adopted to assign the due dates of jobs. Six priority rules are applied for prioritizing jobs for processing on machines. Several performance criteria are considered for analyzing the system performance. The simulation results are used to conduct statistical tests. Analytical models have been formulated to represent the simulation model for post-simulation studies. These models are found to yield a satisfactory estimation of the system outputs.