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Coordinated Power Controller Design of DG and EWH for Frequency Control in a Wind-Diesel Hybrid Power System by an Artificial Neural Network

This paper proposes a novel coordinated power controller design of diesel generator (DG) and electric water heater (EWH) for controlling the frequency in a wind-diesel hybrid power system. An artificial neural network (ANN) is applied for the coordinated power controller parameters prediction of DG and EWH based on the minimization of an integral absolute error (IAE) value. For the DG and EWH power controllers, it is a proportional-integral-derivative (PID) controller. The multilayer feedforward neural network is utilized for creating the system operating model. Simulation results display that the proposed coordinated PID power controllers of DG and EWH can effectively control the output power of DG and also can greatly smoothen the frequency deviation under various power change patterns from the wind farms and loads.