Optimal Sizing and Placement of Advanced SVC in Transmission System by Using Evolutionary Algorithms

Volume 10 Issue 3 January - March 2017

Research Paper

Optimal Sizing and Placement of Advanced SVC in Transmission System by Using Evolutionary Algorithms

A.Hema Sekhar*, A. Lakshmi Devi**

* Research Scholar, Department of Electrical and Electronics Engineering, S.V. University College of Engineering, Tirupati, India.

** Professor and HOD, Department of Electrical and Electronics Engineering, S.V. University College of Engineering, Tirupati, India.

Sekhar, A.H., and Devi, A.L (2017). Optimal Sizing and Placement of Advanced SVC in Transmission System by Using Evolutionary Algorithms. i-manager’s Journal on Electrical Engineering, 10(3), 30-42. https://doi.org/10.26634/jee.10.3.13412

Abstract

In an electrical network, an optimal procedure is required for resolving the problems like voltage profile improvement and power loss reduction. Now-a-days, the condition for optimality can be attained by effective and efficient utilization of available facilities with add-on FACTS devices in the power systems. In practical applications, the choice of Static VAR Compensator (SVC) is better than other devices, as for the analysis and mitigation of problems due to its applicability and affordable costs. In this paper, for the selection of optimum location of SVC, determination of SVC's size and SVC's firing angle - three heuristic Optimization algorithms are proposed as evolutionary optimizing algorithms for the same objective function, namely, Genetic Algorithm, Particle Swarm Optimization, and Dragonfly algorithm. To show the validity of the proposed techniques and for comparison purposes, simulations are carried out on IEEE 14 and IEEE-57 bus power system assessing improvements in voltage profile and reducing power losses in order to present its adaptability in power systems of higher dimensional.