NDLI: An optimised methodology to predict the wind farms production

Content Provider	IEEE Xplore Digital Library
Author	Carlini, E.M. Ianniciello, A. Pisani, C. Vaccaro, A. Villacci, D.
Copyright Year	2015
Description	Author affiliation: Terna Rete Italia, Rome, Italy (Carlini, E.M.) \|\| Univ. degli Studi del Sannio, Benevento, Italy (Ianniciello, A.; Pisani, C.; Vaccaro, A.; Villacci, D.)
Abstract	Renewable energy sources (RES), are widely recognized as an effective solution to face with the rapid depletion of oil resources and an interesting energy option to ensure the energy supplies security and the meeting of the targets imposed by the international regulatory frameworks devoted to contrast the global warming. Wind energy source is undoubtedly one of the primary energy source able to provide a significant contribution to the fulfillment of the load curve. Nonetheless, wind energy source is one of the most challenging to predict due to the (i) high level of uncertainty and randomness of the physical phenomenon, (ii) strong dependence on the site topography, (iii) high non-linearity of the involved processes. The massive penetration of wind farms in the existing electrical power systems hence sensibly affects the related secure operation. To provide a solution at the above issue, the present paper aims at the development of an advanced methodology for estimating the wind farms producibility and for characterizing locally the predictions of European Center for Medium-Range Weather Forecasts (ECMWF) model or equivalently the ones of the Consortium for Small-scale Modeling (COSMO). The ingredients which makes the developed methodology optimal are high resolution digital terrain models, proper lateral boundary conditions provided by COSMO-I2 model, optimized wind generation curves derived by the application of statistical identification techniques on wind speed-power. The research activities are included in a research project with the partnership of the Italian TSO, TERNA, and the Italian Center for Aereospatial Research, CIRA.
Starting Page	466
Ending Page	471
File Size	1394401
Page Count	6
File Format	PDF
ISBN	9781479987047
DOI	10.1109/ICCEP.2015.7177558
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	downscaling Wind Wind speed optimal forecasting Predictive models Wind farms Wind power generation Forecasting Wind forecasting
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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