NDLI: Optimal storage scheduling for minimizing schedule deviations considering variability of generated wind power

Content Provider	IEEE Xplore Digital Library
Author	Dutta, S. Overbye, T.J.
Copyright Year	2011
Description	Author affiliation: Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA (Dutta, S.; Overbye, T.J.)
Abstract	Incorporation of energy storage units with wind farms is being considered critical for wind farms to address variability in wind power generation and meeting committed generation schedules. However, operational constraints such as limited energy of storage units, in addition to the inherent variability of wind power, limit the maximum generation commitment that can be met reliably by a wind farm operating in combination with a storage plant. This paper presents a method for computing an optimal storage dispatch for a storage unit coupled with a wind farm over the period of one hour with the objective of minimizing generation schedule deviations and taking into consideration the uncertainties involved in wind power predictions. The optimization uses a stochastic dynamic programming framework in discrete time. The algorithm minimizes the total expected deviations from a steady power delivery schedule of the combined wind farm-energy storage plant. Tests on a simplified model of a wind-storage plant connected to a load verify the desired objectives. The deviations when generated wind power is known accurately are also presented as a special case. Results provide insights about the maximum generation commitment the combined wind-storage unit can meet without deviations over the scheduling horizon given the probabilities of power generation from wind.
Starting Page	1
Ending Page	7
File Size	833952
Page Count	7
File Format	PDF
ISBN	9781612847894
e-ISBN	9781612847887
e-ISBN	9781612847870
DOI	10.1109/PSCE.2011.5772521
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Wind probability distribution of wind power storage optimization stochastic dynamic programming schedule deviation generation schedule Discharges Wind power generation Wind farms coordination of energy storage with wind Dynamic programming Energy storage
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