Numerical Simulation of Optimal Power Flow in IEEE-118 Bus System Using Improved Cuckoo Search Algorithm

OPF algorithms are a major research issue for the efficient monitoring and preparing of the power systems. To minimise the objective function, optimum power flow is carried out. It can be a single value objective or multiple objective functions. This objective function. In current research, the optimum power flow has been implemented to minimize fuel costs while fulfilling constraints including voltages, generator power outputs maintained in accordance with the prescribed limit. Any other target could be used based on interest and needs of the utility. Various OPF researchers, such as linear programming, non-linear programming, quadratic programming, newton-based techniques, Parametric and interior points approaches, have in the past incorporated a number of simplified network models. The drawbacks of conventional algorithms such as the use of soft computing technologies to perform the optimization solution have attracted attention. Thus, soft computer-based optimization techniques are essential to overcome these drawbacks. A wide range of advanced techniques for optimization are proposed in literature for solving OPF problem, e.g. evolutionary programming, genetic algorithm, PSO algorithm. In this study, we have introduced improved cuckoo search algorithm to reduce costs while maintaining limitations. Applied to the IEEE-118 bus system is the proposed algorithm. Significant improvement is seen after the application of proposed system.