Improvement of voltage profile for large scale power system using soft computing approach

[...]it is essential to install a compensating device such as a shunt capacitor close to the load bus to improve the voltage profile and decrease the total power loss of transmission line system. From the simulation results, the PSO and ABC algorithms are providing satisfactory results in obtaining the capacitor size and can reduce the total power loss of around 15.873 MW. [...]a different result is showed by the GA approach where the power loss in the JAMALI 500kV power grid can be compressed only up to 15.54 MW or 11.38% from the power system operation without a shunt capacitor. [...]categories is physically inspired such as simulated annealing algorithm, and lastly social inspired such as imperialist competitive algorithm, and tabu search algorithm [5]. There are a number of researches that utilizing soft computing based on biological inspired approaches to solve optimization problems such as genetic algorithm (GA) to determine the optimal generator output [6], ant colony optimization (ACO) for reactive power management [7], differential evolution (DE) algorithm to solve non-convex and high non-linear problems [8, 9], particle swarm optimization (PSO) for reactive power dispatch [10], biogeography based optimization (BBO) for optimal VAR control [11], harmony search algorithm (HSA) for reactive dispatch [12], hybrid tabu search algorithm (TS) and simulated annealing algorithm (SA) for optimal reactive power problem [13], teaching learning based optimization algorithm (TLBO) for reactive power planning [14], group search optimization (GSO) for power and emission dispatch [15], honey bee mating optimization (HBMO) for power loss minimization [16], gravitational search algorithm (GSA) to determine the optimal FACTS for reactive power planning [17], artificial bee colony algorithm (ABC) for reactive power flow [18], cuckoo optimization algorithm (COA) [19] and artificial immune system (AIS) [20] for distribution network reconfiguration problem. [...]the application of soft computing in optimizing the size of the shunt capacitor has been investigated by many researches as reactive power compensation as reported in [21].