Optimal Power Flow Using Hybrid Intelligent Algorithm

Optimal Power Flow (OPF) is the important for operation and planning of the power system. The OPF results are used in operation to improve the quality and generation cost of the power system. In planning the results of OPF is used to forecast future electric load expansion based on past and current operating details. The generation cost in OPF may reduce by adjusting the control variables generated real power; voltage magnitude and transformer tap position. Flexible AC Transmission System (FACTS) devices are further helpful for reducing generating cost as well as to improve the quality of the power supply. This paper investigates the helpfulness of three types of FACTS devices namely, STATCOM, SSSC and UPFC. To find optimal values of these control variables including FACTS devices hybrid intelligent algorithm Real Coded Genetic Algorithm-Differential Evolution (RGA-DE) is used for solving OPF problem. RGA has good selection and crossover operator but lays less emphasis on mutation operator whereas DE has good mutation process. To validate the work with other published work, IEEE 30 bus system is to be considered for the simulation.