UPQC Intelligent Adaptive Optimization Model for the Reactive Power Compensation
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Abstract
This paper presents a proposed Intelligent Optimized Second-Order Unified Power Quality Conditioner (IO-SO-UPQC) for reactive power compensation, voltage regulation, and harmonic mitigation in modern distribution networks. The system integrates a hierarchical control structure comprising an inner second-order derivative-based UPQC control layer, a fuzzy adaptive layer for dynamic gain adjustment, and a global optimization layer using Second-Order Sea-Gull Optimization (SO-SGO) for real-time tuning of controller gains. The series and shunt converters work synergistically to compensate voltage sags, swells, and reactive power variations, while the fuzzy logic layer adjusts the proportional, integral, and derivative gains based on instantaneous error and its rate of change. Simulation results under linear, nonlinear, unbalanced, and sudden load variations show that the proposed IO-SO-UPQC reduces reactive power error from 0.45 kVAR to 0.12 kVAR, voltage deviation from 2% to 0.5%, and total harmonic distortion (THD) from 4.5% to 1.8%, while improving settling time from 35 ms to 15 ms. These results demonstrate superior transient response and robust real-time power quality improvement compared to conventional PI-controlled UPQCs.