Cooperative load frequency control of generator and battery using a recurrent neural network

A frequency issue is one of the concerns caused by renewable energies. There is a possibility of losing a balance of the demand and the supply followed by a frequency disturbance when large amounts of the renewable energies are introduced. As a countermeasure against the problem, storage battery systems for the load frequency control are beginning to be introduced. Batteries have faster response, because it is a power electronics equipment and does not have mechanical components. However, a state of the charge of the battery needs to be maintained in order to make efficient use of the battery. In this paper, in order to use the introduced storage battery effectively, a control by a recurrent neural network is proposed. Recently, neural networks are attracting attention as an innovative control method. By training the neural network with particle swarm optimization, the frequency of the power system and the state of the charge of the storage battery are maintained simultaneously.