Optimal location of TCSC and SVC for enhancement of ATC in a de-regulated environment using RGA

Enhancing the Power System Loadability Using TCSC: Improved Gravitational Search Algorithm

“…From simulations, they demonstrated that EP with optimal maximum number of FACTS and the suggested split search space managing technique gave higher power transfer capacity and less maximum number of FACTS controllers than those from non-split technique. In the power network during standard and contingency cases, G Madhusudhana Rao et al [6] have suggested real code GA for optimizing the location and controlling parameters of TCSC and SVC for accomplishing maximum available transfer capability (ATC). Using Continuous Power Flow (CPF) technique, ATC was calculated regarding both line thermal limit with bus voltage limits.…”

Effect of FACTS devices on enhancement of Voltage Stability in a deregulated power system

“…9 shows the voltages of different buses for an IEEE 9 bus system without and with FACTS devices under normal conditions. It is noted that insertion of SVC at bus 9 the voltage is more improved than insertion of TCSC in line 4 (4)(5). The contingency (line outage) ranking by means of the performance index values, are determined for each single line outage case.…”

“…By seeing the Table 3, line 3(3-6) and line 2(8-2) are the mainly critical lines for double outages as contingency have the highest performance index. Fig.11 Comparison of voltages for 9 bus system at double outage (3)(4)(5)(6) The voltage profile at each bus by insertion of TCSC and SVC for double outage of lines at line 3(8-9) and line 2(8-2) is represented in Fig.11. It is observed that by insertion of SVC at bus 9 the voltage is more improved than by insertion of TCSC in line 4(4-5) even at double outage of line.…”

“…represents the QV curve at bus 5 for an IEEE 9 bus system without and with FACTS Devices. From the figure 13, it is clear that the voltage stability margin has been more improved by placing SVC at bus 9 than by placing TCSC in line 4 (4)(5).…”

Reactive Power Planning and Total Transfer Capability Enhancement using Facts and Capacitor Banks. (Dept. E)

“…Evolutionary programming (EP)is proposed in [7] to solve the RPP problem, particle swarm optimization (PSO) is applied in [8], differential evolution (DE) is presented in [9] and [10], Ant colony optimization algorithm is presented in [11], gravitational search algorithm (GSA) is using to solve RPP problem with flexible ac transmission systems (FACTS) in [12], random drift PSO in [13], and fractional-order darwinian PSO is presented in [14]. In [3] PSO algorithm is presented to maximize the power transfer capability of power transactions between generators and loads in power systems without violating system constraints, genetic algorithm (GA) is proposed in [15], the static synchronous series compensator is used in [16], EP is proposed to determine the optimal allocation of FACTS devices in [17], Cat swarm optimization is applied in [18], hybrid of tabu search and simulated annealing in [19], and different methods of FACTS placements for maximizing the transfer power is applied in [20]. Table I categorizes the evaluated literature and highlights the new aspects of the proposed work in comparison to previous research efforts.…”