Application of FOPID-FOF Controller Based on IMC Theory for Automatic Generation Control of Power System

In this work, an attempt has been made to implement a fractional based internal model control (IMC) for automatic generation control (AGC) of power system. In general power system, models are complex and having higher orders, as a result design procedure of IMC controller for AGC becomes complicated one. In this work, model order reduction (MOR) techniques are introduced to reduce effort in designing controller for such a complex system. These techniques can capture dynamics of higher order power systems with lower order models without loosing inherent properties of system. In this paper, Nyquist-based model reduction technique is employed for integer order model compression. A simple structure fractional order filter in cascade with fractional order proportional integral derivative (FOPID-FOF) controller based on the IMC theory is developed for obtained lower order models to solve load frequency control (LFC) problem. The distinguished feature is the less number of tuning parameters for the design of fractional controller. The resultant controller is implemented for the single area power system in MATLAB environment. The simulation results are compared to show the effectiveness of the proposed method. Also, the proposed method is applied to two area PV-Reheated power system and three area non-reheated power system.

Automated summary

This work proposes a fractional based internal model control (IMC) approach for automatic generation control (AGC) in power systems. Model order reduction (MOR) techniques are employed to simplify the design process of the IMC controller. The results demonstrate the effectiveness of the proposed method in load frequency control (LFC) for power systems.