2021
DOI: 10.11591/ijece.v11i6.pp4678-4688
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The gravitational search algorithm for incorporating TCSC devices into the system for optimum power flow

Abstract: <span lang="EN-US">This paper proposes a gravitational search algorithm (GSA) to allocate the thyristor-controlled series compensator (TCSC) incorporation with the issue of reactive power management. The aim of using TCSC units in this study is to minimize active and reactive power losses. Reserve beyond the thermal border, enhance the voltage profile and increase transmission-lines flow while continuing the whole generation cost of the system a little increase compared with its single goal base case. Th… Show more

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Cited by 7 publications
(4 citation statements)
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“…The presence of an obstacle in the ants' path makes him choose his way randomly at first. All ants then move gradually to the shorter path, as shown in Figure 8 [13]. The ants in case Figure 8(a) find a straight path between the food and the destination, and in this case, it is not trying to find the shortest or the optimal way because this way represents the optimum one.…”
Section: Ant Colony Optimization Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…The presence of an obstacle in the ants' path makes him choose his way randomly at first. All ants then move gradually to the shorter path, as shown in Figure 8 [13]. The ants in case Figure 8(a) find a straight path between the food and the destination, and in this case, it is not trying to find the shortest or the optimal way because this way represents the optimum one.…”
Section: Ant Colony Optimization Algorithmmentioning
confidence: 99%
“…Then it enters a duplicate loop, ending when one of the stop conditions is reached. The amount of pheromone is continuously updated [13].…”
Section: Ant Colony Optimization Algorithmmentioning
confidence: 99%
“…Radio-frequency circular integrated inductors sizing optimization using … (Imad El Hajjami) 6321 such as artificial bee colony (ABC) [8], [9], genetic algorithms (GA) [10], [11], tabu search (TS) [12], simulated annealing (SA) [13], differential evolution (DE) [14], [15], ant colony optimization (ACO) [16], [17], Jaya algorithm (JA) [18], particle swarm optimization (PSO) [19], [20], salp swarm algorithm (SSA) [21], firefly algorithm (FA) [22], and the gravitational search algorithm (GSA) [23].…”
Section: Introductionmentioning
confidence: 99%
“…The logarithmic cost function is increasing and convex. Also, the results obtained after solving the optimization problem using the Jaya algorithm [34]- [68] contributed to improving the optimization of the system reliability with appropriate costs [33], [69]- [80].…”
Section: Introductionmentioning
confidence: 99%