Optimal Location and Sizing of SVC Considering System Losses, Voltage Division and System Overload

Abstract

Flexible Alternating Current Transmission Systems (FACTS) devices have been suggested as an efficient solution for regulating bus voltage and controlling in power flow in electrical power networks, which leads to improve stability and reduce the loss of electrical power. Suitable location and the appropriate size of these devices can lead to control line flow and maintain the voltage at each bus at the desired level and so recover system security. This paper shows comparison study between two techniques from artificial intelligent techniques to determine location and optimal size of FACTS devices based on power losses, voltage division and system over load. Also, in this paper a comparison between multi-and single objective function to find the optimal location and optimal size of SVC has been carried out. The proposed algorithms are simulated annealing and particle swarm optimization and are tested on modified IEEE 30-bus power system for optimal allocation of Static VAR Compensator (SVC) as a kind of FACTS devices and results are presented.

Sizing and Sitting of Static VAR Compensator (SVC) Using Hybrid Optimization of Combined Cuckoo Search (CS) and Antlion Optimization (ALO) Algorithms

“…However, the problem of integrating these into the power system is quite complicated where achieving maximum effectiveness is through proper sizing and siting of SVCs. For this reason, many authors have tried to resolve this problem by using various optimization techniques, such as differential evolution (DE) [3], whale optimization algorithm (WOA) [4], simulated annealing (SA), and particle swarm optimization (PSO) [5], multi-objective genetic algorithm (MOGA) [6], multi-objective cuckoo search (MOCS) [7], imperialistic competitive algorithm (ICA) [3], harmony search (HS) [8].…”