NDLI: Online optimal power flow with renewables

Content Provider	IEEE Xplore Digital Library
Author	Seung-Jun Kim Giannakis, G.B. Lee, K.Y.
Copyright Year	2014
Description	Author affiliation: Dept. of ECE, Univ. of Minnesota, Minneapolis, MN, USA (Giannakis, G.B.) \|\| Dept. of CSEE, Univ. of Maryland, Baltimore, MD, USA (Seung-Jun Kim) \|\| Dept. of ECE, Baylor Univ., Waco, TX, USA (Lee, K.Y.)
Abstract	Optimal power flow (OPF) is a critical control task for reliable and efficient operation of power grids. Significant challenges are anticipated in the development of future power systems, as a substantial amount of inherently uncertain renewable resources are incorporated, imposing volatile dynamics to the grid. In this work, an online learning approach, which does not require elaborate models for uncertainty, yet is capable of providing a provable performance guarantee, is adopted to tackle the OPF with renewables in an online fashion. A two-stage procedure is considered, where the conventional generation level is committed before the renewable output is revealed, followed by spot market transactions to account for imbalance. Simulated tests with a 30-bus case show that, under high variability of renewables, the proposed hedging scheme beats a static alternative, which solves two OPF problems per time slot.
Starting Page	355
Ending Page	360
File Size	732252
Page Count	6
File Format	PDF
e-ISBN	9781479982974
DOI	10.1109/ACSSC.2014.7094462
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Uncertainty Generators Load modeling Reactive power Power system dynamics
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

Optimal power flow using power world simulator

Optimal power flow solutions under variable load conditions: reactive power cost modeling

Optimal reactive power dispatch with fuzzy variables

Impacts in Power System Modeling from Including Fuzzy Concepts in Models

Estimation of constraint parameters in optimal power flow data sets

Analytical reformulation of chance-constrained optimal power flow with uncertain load control

Generation and load uncertainties incorporated in load flow studies

Market oriented reactive power expansion planning

Online Voltage Collapse Prevention Through Optimal Load Shedding and Dynamic Generation Control

Online optimal power flow with renewables

Similar Documents

Optimal power flow using power world simulator

Optimal power flow solutions under variable load conditions: reactive power cost modeling

Optimal reactive power dispatch with fuzzy variables

Impacts in Power System Modeling from Including Fuzzy Concepts in Models

Estimation of constraint parameters in optimal power flow data sets

Analytical reformulation of chance-constrained optimal power flow with uncertain load control

Generation and load uncertainties incorporated in load flow studies

Market oriented reactive power expansion planning

Online Voltage Collapse Prevention Through Optimal Load Shedding and Dynamic Generation Control

Online optimal power flow with renewables