DECISION TABLE LOOKING UP APPROACH FOR FUZZY LOGIC CONTROL OF MULTI-AREA AGC SYSTEMS

摘要

A Decision Table looking up algorithm for Fuzzy Logic Controller (FLC) with Genetic Algorithm (GA) optimization for Automatic Generation Control (AGC) system is developed. The single-input single-output (SISO) cascade loop structure of the AGC system is analyzed first. Then the interaction between the fast Area Control Error (ACE) loop and slow inner Boiler-Turbine-Generator (BTG) loop is decoupled by the FLC Decision Table algorithm based on the Relation Matrix recursive algorithm. The outer AGC frequency loop is optimized for disturbance rejection, and inner BTG loop is tuned for tracking the AGC instruction with the FLC. The Decision Table algorithm for FLC with GA optimization is suitable for the nonlinear element in AGC, such as generator rate constraint (GRC) and saturation. Simulations have shown that the approach is available for the AGC system performance optimization.