A real-time management and evolutionary optimization scheme for a secure and flexible smart grid towards sustainable energy
In this paper, Genetic Algorithm is used to handle the reactive power management. Goal of short-term energy resource management is to minimize the operational costs. RMOSFS: sustainable energy detection, degree of power saving and power optimization. Consists of a location centric hybrid architecture and collaboration algorithm.
reactive power critical time control center distributed state estimator (dse) fault distance genetic algorithm (ga)