Abstract: This document presents an innovative control strategy based on fuzzy logic for multifunctional grid-tied inverters utilized in industrial and commercial power systems. The primary objective is to mitigate instantaneous power oscillations and improve overall power quality. The proposed strategy incorporates the principles of Conservative Power Theory (CPT), which facilitates the direct extraction and analysis of oscillating power components within the ABC frame. Additionally, fuzzy logic contributes adaptive intelligence to effectively manage uncertainties and nonlinearities associated with complex load conditions. To assess the efficacy of the proposed fuzzy control method, comprehensive simulations are performed on a three-phase multifunctional grid-tied inverter that is fitted with an LCL filter in a laboratory-scale prototype setting. The power system model encompasses a variety of load profiles, including linear, nonlinear, unbalanced loads, and a three-phase induction motor with capacitive compensation. The simulation outcomes reveal that the fuzzy logic-enhanced control strategy not only optimizes active power dispatch by the inverter but also guarantees constant torque operation of the induction motor, thereby enhancing power quality across the entire industrial/commercial system. Moreover, the strategy is experimentally validated using a 3.6 kVA inverter prototype. The experimental findings corroborate the successful compensation of the targeted oscillating power components, highlighting the practical viability and robustness of the fuzzy logic-based approach in real-world scenarios.


Downloads: PDF | DOI: 10.17148/IJIREEICE.2025.131014

Cite This:

[1] Kommoju Rohith Kumar, Y. Naveen Kumar, "Fuzzy Logic Method for Improving Power Quality in Industrial and Commercial Systems," International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI 10.17148/IJIREEICE.2025.131014

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