Optimal Power Flow by Different Modern Optimization Techniques

The power flow solution can be optimized in different ways, providing the safest point of operation based on specific objective functions while meeting the system's operational restrictions. Many objective functions in power structures can be improved, including the total amount of power production, involved flexible AC transmission device maintenance cost, power flow capability of the system, the residue effect of the generating station, and many more. During the optimization phase, variables like true power (P), the voltage at generating station bus (V), and tap settings of the transformer, which are controllable, can be pinched. Several processes are considered earlier for the solution of the power flow issue. Classification and innovation of some recent or new techniques have been developed for finding the solution to those optimal power flow (OPF) problems. Several classical and modern optimization and meta-heuristic strategies can be used to optimize and prevent entrapment locally. In this section, a detailed recent optimization technique overview has been made, among which nature, evolutionary, human, and physics-encouraged methods with artificial neural network (ANN) strategies are discussed.