Title :
Offshore wind speed forecasting by SVM and power integration through HVDC light
Author :
Dangar, Pravin B. ; Kaware, Santosh H. ; Katti, Pradeep K.
Author_Institution :
Dr.Babasaheb Ambedkar Technol. Univ., Raigarh, India
Abstract :
Offshore wind farms have great potential as large-scale sustainable energy sources for electrical power generation in India as 7200kM coast line is available. This paper presents fundamental aspects of offshore wind energy, its characteristics and benefits and also presents a means of forecasting wind speed using a novel optimization tool Support Vector Machine (SVM). The tool is used to calculate the mean hourly wind speed forecasting and cross validation of the same by training the model. Around three-year data for Mumbai (India) coastal area is considered for analysis of regression process and results are presented. Further the main challenge of power transfer has been addressed by considering HVDC light as a viable solution.
Keywords :
load forecasting; offshore installations; power engineering computing; regression analysis; support vector machines; wind power; wind power plants; HVDC light; SVM; electrical power generation; large-scale sustainable energy sources; offshore wind farms; offshore wind speed forecasting; power integration; power transfer; regression process; support vector machine; Converters; Forecasting; HVDC transmission; Predictive models; Support vector machines; Wind farms; Wind speed; Forecasting; HVDC Light; Offshore Wind speed; Regression; Support vector machine; data;
Conference_Titel :
IPEC, 2010 Conference Proceedings
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7399-1
DOI :
10.1109/IPECON.2010.5696952
