Optimal Power Flow of Power Systems Using Hybrid Whale and Particle Swarm Optimization Technique

In order to ensure population diversity and overcome premature convergence, differential evolution strategy was introduced and a whale particle swarm hybrid algorithm was proposed. The proposed method has been achievemented on the IEEE 30-bus test system considering three objective functions, such as line loss, generation cost, and weighted generation cost and voltage offset. By comparing whale particle swarm hybrid algorithm, whale optimization algorithm and particle swarm optimization algorithm, the experimental results show that whale particle swarm hybrid algorithm is more stable and better than the two other optimization algorithms in optimizing power flow.