Abstract
This paper deals with a distributed control based on gradient methods for load frequency of power networks including distributed generations, batteries, and renewable energies. In recent years, energy problems and global warming have become the hottest worldwide social problems. Therefore, a lot of distributed generations such as the photo voltaic and wind power generations, the biomass power generations, and the co-generations, are going to be installed in large scale power network systems from viewpoints of energy conservation and the cost reduction. At the same time, it is well-known that they have adverse affects on system frequency and fluctuation of voltage in power systems. Hence, it is necessary to explicitly control every generation cooperatively and optimally and ensure safety. The control objective is to minimize the cost function of load frequency control problem of power networks and to operate power systems optimally by means of distributed control based on gradient methods with Armijo and Wolfe type line search. Finally, simulation results of power networks including distributed generations show the effectiveness of the load frequency control.
