This paper presents an approach for designing fuzzy logic based load frequency controller with the presence of non-linearity and obtaining better dynamic response as compared to conventional controllers. Automatic generation control is a very important issue in power system operation and control for supplying sufficient and reliable electric power with good quality. Load frequency control (LFC) has gained importance with the growth of interconnected systems and has made the operation of interconnected system with more reliability. Any mismatch between generation and demand causes the system frequency to deviate from scheduled value. This necessitates designing of an accurate and fast controller to maintain the system frequency at nominal value. The conventional LFC controllers are slow and lack in efficiency. The Intelligent controller designed using fuzzy logic provides a satisfactory performance with balance between frequency overshoot and transient oscillations with zero stead- state error. This paper also develops an extended control to LFC scheme with the presence of generation rate constraint (GRC) non-linearity to a typical three area power system model proposed by Hadi Sadaat[1]. The simulation has been conducted in MATLAB Simulink package for the three area interconnected power system with various load changes. The simulation result shows that the proposed method of fuzzy logic controller for load frequency control is giving 40% reduction in settling time and 20% reduction in peak overshoot when compared to conventional controller.
Load Frequency Control (LFC), Fuzzy Logic Control (FLC), Generation Rate Constraint (GRC)