Paper Info
Title
A High-Performance Fpga-Based Virtual Anemometer For Mppt Of Wind Energy Conversion Systems
Abstract
This paper proposes a fast and compact implementation of a virtual anemometer on a low-cost Field Programmable Gate Array (FPGA) platform. Such an anemometer is to be used within Wind Energy Conversion Systems (WECS) to perform Maximum Power Point Tracking in a non-iterative way, thus reducing dead time and increasing yield. The proposed virtual anemometer relies on a Growing Neural Gas (GNG) Artificial Neural Network with 512 neurons. A major effort is placed on hardware optimization, aiming to achieve the best compromise between computational speed and resource occupation. Furthermore, the slave SPI interface allows a fast communication with the main microcontroller on which the WECS control system is implemented. The resulting design is a high-performance virtual anemometer that can be embedded in WECS control systems with up to 100 kHz bandwidth. The device is designed, synthesized and implemented on a commercial FPGA. Several details of the implementation are discussed, and an experimental validation is performed using input profiles that have been acquired on the field for two different wind turbines.
Year
Venue
Keywords
2017
2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)
virtual sensors, wind energy, maximum power point tracking, field-programmable gate array
Field
DocType
ISSN
Dead time,Wind speed,Control theory,Anemometer,Field-programmable gate array,Maximum power point tracking,Electronic engineering,Control engineering,Microcontroller,Control system,Engineering,Wind power
Conference
2163-5137
Citations 
PageRank 
References 
0
0.34
9
Authors
5
Name
Order
Citations
PageRank
Angelo Accetta1262.32
Maria Carmela Di Piazza200.34
Giuseppe La Tona300.34
Luna, M.4103.26
Marcello Pucci513416.40