Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms

Abstract

Abstract-This paper presents a genetic algorithm to seek the optimal location of multi-type FACTS devices in a power system. The optimizations are performed on three parameters: the location of the devices, their types and their values. The system loadability is applied as measure of power system performance. Four different kinds of FACTS controllers are used and modeled for steady-state studies: TCSC, TCPST, TCVR and SVC. Simulations are done on a 118-bus power system for several numbers of devices. Results show the difference of efficiency of the devices used in this context. They also show that the simultaneous use of several kinds of controllers is the most efficient solution to increase the loadability of the system. In all the cases (single-and multi-type FACTS devices), we observe a maximum number of devices beyond which this loadability cannot be improved.

Multi-Objective Scheduling Optimization Based on a Modified Non-Dominated Sorting Genetic Algorithm-II in Voltage Source Converter−Multi-Terminal High Voltage DC Grid-Connected Offshore Wind Farms with Battery Energy Storage Systems

“…The optimization parameters may be set through experiment because the multi-objective optimization techniques are sensitive to proper selection of the control parameter. In our work, genetic algorithm (GA), particle swarm optimization (PSO), and NSGA-II parameters for each system were applied from [30][31][32], respectively. As shown in Table 7, it can be seen that the total operating cost and total power loss are less in MNSGA-II than in other algorithms for both test systems.…”

Optimal Planning for the Placement of FACTS Devices by Differential Evolution Technique for the Increased Loadabilty of a Power System

“…How the unified power flow controllers can be used in a congested power system is discussed in [11]. A GA based separate & simultaneous use of Thyristor Controlled Series Capacitor (TCSC), Unified Power Flow Controller (UPFC), Thyristor Controlled Voltage regulator (TCVR), and Static Var Compensator (SVC) were studied in [12] for increased power flow.…”

Comparison of various methods for optimal placement of FACTS devices

“…It is important to ascertain the location for placement of these devices because of their high costs. 1 There are various approaches proposed in the literature for optimizing location and parameter setting of the FACTS devices from various viewpoints [7]- [9]. Sensitivity indices based on line loss have been developed for placement of series capacitors in [10].…”