Title :
An FPGA controller for a combined solar / Wind power system
Author :
Cirstea, Marcian ; Parera-Ruiz, Alberto
Author_Institution :
Anglia Ruskin Univ., Cambridge, UK
Abstract :
The paper deals with the holistic modeling approach of a combined Photovoltaic and Wind power system. The method is using the DK5 modeling/design environment from Mentor Graphics and is based on the new Handel-C programming language. The goal of the work carried out was to achieve an optimized holistic digital control system design, followed by its rapid prototyping into a single Field Programmable Gate Array (FPGA). This would also enable easy connection (by expanding the model/controller) to the grid or to a fuel cell. Initially, the system was simulated using Matlab/Simulink, to create a reference for comparison. Later on, the model was successfully developed in Handel-C. The holistic functional simulation of the system is performed in the same environment as its controller hardware implementation and timing analysis. The controller design was then downloaded in hardware onto a RC203 development board containing a Xilinx Virtex II FPGA and was successfully tested experimentally. This approach enables the design and fast hardware implementation of efficient controllers for Distributed Energy Resource (DER) hybrid systems.
Keywords :
digital control; field programmable gate arrays; photovoltaic power systems; power generation control; solar power stations; wind power plants; DER hybrid systems; DK5 modeling; FPGA controller; Handel-C programming language; Matlab-Simulink; Mentor graphics; RC203 development board; Xilinx Virtex II FPGA; combined solar-wind power system; distributed energy resource hybrid systems; fuel cell; holistic functional simulation; holistic modeling approach; optimized holistic digital control system design; photovoltaic power system; single field programmable gate array; Computer languages; Control systems; Field programmable gate arrays; Graphics; Hardware; Mathematical model; Photovoltaic systems; Power system modeling; Solar power generation; Wind energy; FPGA; control systems; modeling; power systems; renewable energy;
Conference_Titel :
Optimization of Electrical and Electronic Equipment (OPTIM), 2010 12th International Conference on
Conference_Location :
Basov
Print_ISBN :
978-1-4244-7019-8
DOI :
10.1109/OPTIM.2010.5510437