Optimation of Capacitor Bank Placement in Electric Network Using Genetic Algorithm

Abstract

Abstract Minimizing losses in electric network should be considered the placing a shunt capacitor, the voltage level on each bus, the size and number of shunt capacitors to be used, and the supply of maximum and minimum of generator power. This paper is conducted the determination of location and size of shunt capacitor to be allocated in electric power transmission networks. The simulation using Genetic Algorithms (GA) method was applied to solve the problem of reactive power compensation optimation. To find out amount of compensation for voltage drop and power losses that occur in the system, a load flow analysis was performed using the Newton-Raphson method. The result of capacitor placement and capacitor capacity were shown the highest voltage conditions on bus 4 of 1.050 Mvar and the lowest on bus 24 of 9.69 Mvar. The optimization system was revealed the total losses system of 12.793 MW with a total generation cost of 15447.44 $/h for the capacitor reduction size of 18.8 Mvar. Therefore, the system can save 6.2 Mvar’s capacitors.