Abstract:
Background/Objectives: Optimal Power Flow (OPF) problem is very common and important problem for
effective power system operation and planning. OPF is previously solved by many optimization techniques.Methods/Statistical analysis: To solve the OPF problem, the Whale Optimization Algorithm (WOA) is employed on the IEEE-30 bus test system. It is a population-based algorithm.WOA is inspired from the bubble-net hunting strategy ofhumpback whales. WOA has a fast convergence rate due to the use of roulette wheel selection method. Various mathematical steps are used in the algorithm. Findings: The problems con-sidered in the OPF problem are Fuel Cost Reduction, Active Power Loss Minimization, and Reactive Power Loss Minimization. These problems are solved by adjusting the control parameters of the system. The results obtained by WOA are compared with other techniques such as Flower Pollination Algorithm (FPA) and Particle Swarm Optimizer (PSO). Application/Improvements: Results shows that WOA gives better optimisation values for the particular case as compared with FPA, PSO and other well-known techniques that confirm the effectiveness of the suggested algorithm.
