Stability Analysis of Multi-Source Power Systems Using Fuzzy Logic and Integral Controllers for Load Frequency Regulation

Abstract- The increasing integration of diverse energy sources into modern power systems presents significant challenges in maintaining frequency stability due to their variable and nonlinear characteristics. This study investigates the stability and dynamic performance of a multi-source power system comprising thermal, hydro, and renewable energy sources under load disturbances. A comparative analysis of Fuzzy Logic Controllers (FLC) and conventional Integral Controllers (IC) is conducted for Load Frequency Regulation (LFR). The proposed FLC is designed to handle system nonlinearity and parameter uncertainties by dynamically adjusting control signals based on rule-based inference. Time-domain simulations are performed in MATLAB/Simulink to evaluate system responses in terms of frequency deviation, settling time, and overshoot. The results demonstrate that the FLC provides superior transient and steady-state performance compared to the traditional IC, effectively enhancing the stability and robustness of the multi-source power system. This work supports the adoption of intelligent control strategies for improved frequency regulation in complex, hybrid power networks. Keywords: AGC, Fuzzy logic controller, I Controller, Stability Analysis, Wind power generation.