Robust Interval Type-2 Fuzzy Predictive Automatic Generation Control of Multiarea Interconnected Power Systems

This research investigates a supervisory interval type-2 fuzzy predictive control (SIT2FPC) technique to propose a novel control method for the automatic generation control (AGC) problem in interconnected power systems. The proposed control method comprises two main components: the interval type-2 fuzzy control (IT2FC) technique, employing a proportional integral derivative approach, and a supervisory predictive controller. IT2FC sets are considered for a multiarea interconnected power network, followed by the implementation of a supervisory predictive control method for the entire system. It is demonstrated that the SIT2FPC method effectively addresses the challenges within the overall system. By incorporating a predictive controller as a robust supervisory control technique, the proposed method can effectively handle unexpected problems that may arise within the IT2FC units. In order to evaluate the efficiency and validity of the proposed robust SIT2FPC technique, it is applied to address the AGC problem in a four-area interconnected power grid. Also, the IEEE 39-bus power system is considered as a case study to validate the proposed AGC method. The outcomes of six different simulation scenarios clearly illustrate the effectiveness of the proposed robust control method.