NDLI: Research on wind power ramp events prediction based on strongly convective weather classification

Content Provider	IET Digital Library
Author	Xiong, Yi Zha, Xiaoming Qin, Liang Ouyang, Tinghui Xia, Tian
Abstract	In this study a forecasting model for wind power ramps based on strongly convective weather classification is presented. First, the dynamics and thermodynamic behaviours of strongly convective weather are characterised by the predictors in the selected region. Then the support vector domain description for ramps scenario classification is introduced to establish an initialised extremum model, and the parameter templates method is used to identify the ramps weather in strongly convective weather library. Meanwhile, the original wind speed data is modified to obtain more accurate wind speed, and a new wind power ramps definition is proposed based on the ramp character itself and its impact on the power grid. Thus the catastrophe detection method (Bernaola Galvan algorithm) used for strongly convective weather forecasting. Finally, the wind power ramps forecasting method based on the discrimination of convective weather is developed. Comparing with the existing wind power ramps forecasting algorithms, the proposed prediction method here gets into meteorologic essence of triggering great fluctuation of wind speed.
Starting Page	1278
Ending Page	1285
Page Count	8
ISSN	17521416
Volume Number	11
e-ISSN	17521424
Issue Number	Issue 8, Jun (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/11/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0516
Journal	IET Renewable Power Generation
Publisher Date	2016-11-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Catastrophe Detection Method Convective Weather Classification Convective Weather Dynamics Behaviour Convective Weather Forecasting Convective Weather Thermodynamic Behaviour Extremum Model Power Grid Ramps Scenario Classification Support Vector Domain Description Weather Analysis And Prediction Weather Forecasting Wind Energy Wind Power Wind Power Plant Wind Power Ramp Event Prediction Wind Power Ramp Forecasting Method
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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

Forecasting ramps of wind power production with numerical weather prediction ensembles

Ramp events forecasting based on long-term wind power prediction and correction

Optimisation of time window size for wind power ramps prediction

Short-term wind power forecasting and uncertainty analysis using a hybrid intelligent method

Refined ramp event characterisation for wind power ramp control using energy storage system

Statistical scenarios forecasting method for wind power ramp events using modified neural networks

Scenario Generation of Wind Power Based on Statistical Uncertainty and Variability

Weather forecasting error in solar energy forecasting

Improving supervised wind power forecasting models using extended numerical weather variables and unlabelled data

Research on wind power ramp events prediction based on strongly convective weather classification

Similar Documents

Forecasting ramps of wind power production with numerical weather prediction ensembles

Ramp events forecasting based on long-term wind power prediction and correction

Optimisation of time window size for wind power ramps prediction

Short-term wind power forecasting and uncertainty analysis using a hybrid intelligent method

Refined ramp event characterisation for wind power ramp control using energy storage system

Statistical scenarios forecasting method for wind power ramp events using modified neural networks

Scenario Generation of Wind Power Based on Statistical Uncertainty and Variability

Weather forecasting error in solar energy forecasting

Improving supervised wind power forecasting models using extended numerical weather variables and unlabelled data

Research on wind power ramp events prediction based on strongly convective weather classification