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dc.contributor.authorBloul, Albe
dc.date.accessioned2024-09-04T18:37:22Z
dc.date.available2024-09-04T18:37:22Z
dc.date.issued2024-08-31
dc.identifier.urihttp://hdl.handle.net/10222/84565
dc.description.abstractThis research investigates and validates several AC switched filter capacitive compensation schemes for boosting power quality, reducing AC-side harmonics, improving the power factor, and decreasing inrush currents and transient over-voltages by utilizing fuzzy logic type-2 controllers along with a multi-regulation multi-loop proportional-integral-derivative (PID) controller. The study also discusses flexible alternating current transmission systems (FACTS) for voltage stabilization and efficient energy utilization, in addition to new strategies and control approaches to interface renewable energy sources, analyze its usage, and stabilize the voltage. FACTS-based filters can be utilized in industrial drivers using DC and AC motors powered by alternative/renewable sources such as tidal, wind, wave, photovoltaic (PV), fuel cell, micro gas turbines, and hybrid renewable energy sources. The research approach adopted in this thesis validates both single- and three-phase systems for regulating modulated switched filter duty cycle ratios and proves their compatibility with either DC or AC green plugs. Further, the control systems are fine-tuned to save energy and enhance power quality. By using a modified version of a capacitor filter compensation (MFCC-SFC), the energy efficiency is improved. The three-loop dynamic error-driven fuzzy logic controller (FLC) employs a switched or modulated capacitor filter to improve the effectiveness of electric vehicle (EV) and vehicle-to-house (V2H) battery charging stations. The main objectives of the thesis are to develop models using MATLAB/Simulink-2023b software to validate new power electronic switching filter compensator topologies for power generation, electric vehicles, and battery charging in order to improve power quality, reduce total harmonic distortion, reduce AC- and DC-side inrush currents, and provide AC- and DC-side voltage stabilization. The research covers renewable integrated AC/DC systems with the FACTS-based filter capacitor compensation family of extended power electronic devices and converters, including MFCC-SFC, MF, and HSFC schemes; smart grid AC/DC renewable energy schemes with modified dynamic control strategies for electric vehicles; vehicle-to-home (V2H)/vehicle-to-grid (V2G) battery local and utility stations; and hybrid renewable energy and micro grid renewable/alternative energy utilization. In addition, this thesis investigates a number of AC plugs and DC switched filter compensation schemes for nonlinear, inrush current-type load efficient operation, power factor correction, and power quality enhancement. The AC-DC interface schemes for AC and DC EV-drives, V2H/V2G battery chargers, and hybrid renewable energy utilization systems with flexible control strategies are validated using digital simulation in a MATLAB/Simulink/SimPowerSystems-2023b environment, exhibiting significant improvements in power quality and energy delivery reliability. The use of renewable energy requires innovative integrated network solutions that ensure optimal efficiency of the system. The thesis results validate the full effectiveness of the modulated filter and DC green plugs. The same switched filters are then utilized and validated in a MATLAB software simulation environment in AC/DC, using V2G battery-charging schemes. The multi-use, flexible, modulated AC green plugs and switched filters presented and validated in this thesis can be extended to energy storage/smart utility systems and DC micro grids using PV, fuel cell, wind, and tidal/wave renewable energy systems.en_US
dc.language.isoenen_US
dc.subjectModulated/Switched filteren_US
dc.subjectFuzzy Logic Controlleren_US
dc.subjectPID Controlleren_US
dc.subjectV2H/V2Gen_US
dc.subjectPower Qualityen_US
dc.subjectBattery chargingen_US
dc.titleGreen Plug – Switched Filter Compensator Devices for Nonlinear Loads and Renewable Energy Systemsen_US
dc.typeThesisen_US
dc.date.defence2024-08-15
dc.contributor.departmentDepartment of Electrical & Computer Engineeringen_US
dc.contributor.degreeDoctor of Philosophyen_US
dc.contributor.external-examinerDr. Dayan Banen_US
dc.contributor.thesis-readerDr. Adel Sharafen_US
dc.contributor.thesis-readerDr. Issam Hammaden_US
dc.contributor.thesis-supervisorDr. Jason Guen_US
dc.contributor.thesis-supervisorDr. Hamed Alyen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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