Ph.D. Tezi Görüntüleme

Student: Emre ÖZKOP
Supervisor: Prof. Dr. İsmail Hakkı ALTAŞ
Department: Elektrik-Elektronik Müh.
Institution: Graduate School of Natural and Applied Sciences
University: Karadeniz Technical University Turkey
Title of the Thesis: An Intelligent Controlled Novel Power Conditioning for Wave Energy Converter Systems
Level: Ph.D.
Acceptance Date: 12/3/2012
Number of Pages: 145
Registration Number: Di894

      The wave energy is the biggest and untapped energy sources on planet Earth. However, the wave energy conversion is not ubiquitous enough due to its structure complexities, sea conditions and high cost. However, the need of using alternative energy sources has an impact on developing energy conversion schemes from various sources that seems to be costly but have promising future. The wave energy is one of these promising energy sources and has been installed in some specific sites around the world. Since the characteristic behavior of the wave energy is irregular rather than being stable and predictable for time durations, the electrical power obtained by wave energy converters has an irregular behavior, as well. Therefore wave energy conversion systems require interfacing power conditioners to compensate the irregular characteristics of the wave power.

A novel power conditioner FACTS device, called Switched Power Filter - Green Plug is introduced in this study in order to compensate and isolate the load side electrical quantities from the source side irregularities. The novel SPF-GP is a DC-DC type FACTS device and controlled by developing proper switching sequences. In order to comply the irregularity on the source side, adaptive based intelligent controllers are required to be developed. Therefore classical, fuzzy, and classical-fuzzy combined controllers are also studied to be operated by including adaptively in terms of the variations in control parameters such as voltage, current, and power. All system models are developed and tested both by simulation and implementation. Simulation model results are compared with those of obtained from implementation for model validation and system performances.


Key Words: Wave energy, Intelligent control, Power filter, FACTS, Green renewable energy utilization