FREQUENCY CONTROL IN SMART NETWORKS FOR WIND TURBINES THROUGH FUZZY LOGIC METHOD

An energy system is a complex structure that includes various elements with differential dynamics. In the ideal world, power system loads are equipped with constant frequency and voltage. Under normal conditions, all synchronous generators are synchronized to avoid cross-normal voltage in voltage and current, which can lead to disconnection of areas from the network. Frequency deviation is the result of an imbalance between the load and the energy generated. The paper proposes a fuzzy logic-based controller for a wind turbine system to provide frequency support for a smart grid. The designed controller is intended to provide a dynamically adjusted drop rate depending on the local measurements of each wind turbine of a wind farm, such as the maximum power available and the amount of power reserve. The designed fuzzy controller depends on the rate of change of frequency (ROCOF) at the common coupling point (PCC). The main advantage of the proposed fuzzy controller is to provide frequency support from the turbine system connected to a smart grid. The dynamic rate of the controller is determined by the fuzzy bands taking into account the change in network frequency and available reserve power. The proposed controller is tested using Matlab software