Evaluation of Uncertainty in Hybrid Plants, Including Wind Turbine, Photovoltaic, Fuel Cell, and Battery System using Fuzzy Logic

This paper examines the possibility of hybrid plants with a variable consumption in necessary conditions. The use of an adaptive controller includes fuzzy controller with increasing the high-reliability of system as an appropriate option. In his study inputs are voltage conditions and power; output variables include the operation of fuel cell and renewable energies. In this investigation, the objective function is the possibility and the ability of working in low and full load conditions along with the changes in renewable energies conditions. These controllers help to use a controller for hybrid systems. Consequently, communication of this situation by a central controller would be possible. Changes in wind speed and also the inherent changes in photovoltaic system are created during the simulation process. The system should be able to comply with the existing abnormal terms in addition to providing the electricity to the load. In a way that it can provide the required power through the commands which are transmitted from system controllers to AC and DC subsystems and eventually the system reach to a stable condition in a short period of time. In this case it is so important that the essential parameters of the network remain stable. This stability will be illustrated through the stabilization of the line voltage in 1 p.u and also restoring the frequency to its pervious condition. The active power control and voltage controller transmit the commands to the other controlling part which is an interface between two AC and DC systems in order to control the network values. A PID controller was used for controlling parameters in active power regulator. These parameters are designed with fuzzy logic algorithm.