Abstract: This research Work introduces a novel control framework for distributed generation (DG) systems using fuzzy logic controllers integrated with a Unified Power Quality Conditioner (UPQC). The system addresses key challenges posed by the high penetration of intermittent renewable sources, such as solar PV and wind, alongside nonlinear loads that degrade power quality and system stability. Unlike conventional PID-based UPQCs, the proposed solution employs adaptive fuzzy logic controllers for two critical subsystems: battery energy management and power quality conditioning.........
Keywords: Fuzzy Logic Control, Distributed Generation, Power Quality, UPQC, Renewable Energy, Energy Management, Harmonic Reduction, Smart Grid, Adaptive Systems, MATLAB Simulation.
[1]
Mwasilu, F., & Ojo, O. (2024). Robust MIMO Controller For Distributed Generation System-Based Grid-Tied Voltage Sourced Converter. 2024 IEEE Energy Conversion Congress And Exposition (ECCE), 833–840.
Https://Doi.Org/10.1109/Ecce55643.2024.10861053.
[2]
Huang, X., & Tang, Y. (2017). Optimization-Based Control For Distributed Generation: Genetic Algorithms And Particle Swarm Optimization Approaches. Renewable Energy, 105, 250–263.
[3]
Tuan, N. T., & Wang, Z. (2018). Fuzzy Logic Control For Power Flow Regulation In Hybrid Distributed Generation Systems. Journal Of Renewable And Sustainable Energy, 10(5), 54-63.
[4]
Uddin, N, & Islam, M. (2018). Optimal Fuzzy Logic Based Smart Energy Management System For Real Time Application Integrating RES, Grid And Battery, 4th International Conference On Electrical Engineering And Information & Communication Technology (Iceeict), 5(2) 296-301.
[5]
Zhao, L., & Xu, M. (2019). Model Predictive Control For Real-Time Power Optimization In Hybrid Distributed Generation Systems. IEEE Transactions On Smart Grid, 10(2), 2310–2321.
