Application of Adaptive Integral Terminal Sliding Mode Predictive Control in Wind and PV Systems for Stability in the Distribution Network

To achieve an acceptable level of reliability, special control strategies must be used that ensures that the continuity of supply to the consumer is not lost not only in the normal operating state of the system but also after changes such as changes in weather conditions and faults. Accordingly, the main objective of this paper is to apply a nonlinear controller strategy adaptive integral terminal sliding mode predictive control (AITSMPC) with a voltage power control approach to improve the stability of a power system in the presence of wind and solar farms in the distribution network. The adaptive integral terminal sliding mode predictive control strategy can also provide the desired stability when designed in conjunction with wind and solar turbine converter controllers; the use of model-based predictive control can be introduced as a powerful control tool and method. In this research, controllers are used during the occurrence of faults, which leads to improved system stability. The system in question consists of three DFIG-based wind turbines, two PV sources, and a synchronous generator. It has been implemented in the MATLAB/SIMULINK software environment.

Keywords:

Wind turbine , PV system , sustainability , adaptive integral terminal sliding mode predictive control.