File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Two-Stage Stochastic Unit Commitment Considering Distribution Perturbation via Contamination Technique

TitleTwo-Stage Stochastic Unit Commitment Considering Distribution Perturbation via Contamination Technique
Authors
Keywordscontamination technique
stochastic unit commitment
probability distribution
Issue Date2020
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581
Citation
2020 IEEE Power & Energy Society General Meeting (PESGM), Montreal, QC, Canada, 2-6 August 2020, p. 1-5 How to Cite?
AbstractStochastic unit commitment (SUC) is deemed as an efficient operational strategy to tackle with the uncertainty in power system. However, in order to implement SUC, a predetermined probability distribution function (PDF) P or finite scenarios for uncertain parameters is often required, whose true pattern is hard to obtain in real world due to various misspecification. In this paper, contamination technique, by which continuous perturbations on P can be achieved, is introduced to study the stability and robustness of SUC with respect to P. We show that under certain conditions, analytical upper and lower bounds, i.e., contamination bounds for SUC can be constructed globally. Then, the proposed method is combined with a risk-based two-stage SUC, where wind penetration and demand response are considered. Numerical experiment on a modified IEEE 14-bus system is performed to test the feasibility and efficiency.
Persistent Identifierhttp://hdl.handle.net/10722/306244
ISSN
2020 SCImago Journal Rankings: 0.345

 

DC FieldValueLanguage
dc.contributor.authorLI, Y-
dc.contributor.authorYIN, W-
dc.contributor.authorFeng, S-
dc.contributor.authorHou, Y-
dc.date.accessioned2021-10-20T10:20:50Z-
dc.date.available2021-10-20T10:20:50Z-
dc.date.issued2020-
dc.identifier.citation2020 IEEE Power & Energy Society General Meeting (PESGM), Montreal, QC, Canada, 2-6 August 2020, p. 1-5-
dc.identifier.issn1944-9925-
dc.identifier.urihttp://hdl.handle.net/10722/306244-
dc.description.abstractStochastic unit commitment (SUC) is deemed as an efficient operational strategy to tackle with the uncertainty in power system. However, in order to implement SUC, a predetermined probability distribution function (PDF) P or finite scenarios for uncertain parameters is often required, whose true pattern is hard to obtain in real world due to various misspecification. In this paper, contamination technique, by which continuous perturbations on P can be achieved, is introduced to study the stability and robustness of SUC with respect to P. We show that under certain conditions, analytical upper and lower bounds, i.e., contamination bounds for SUC can be constructed globally. Then, the proposed method is combined with a risk-based two-stage SUC, where wind penetration and demand response are considered. Numerical experiment on a modified IEEE 14-bus system is performed to test the feasibility and efficiency.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581-
dc.relation.ispartofIEEE Power & Energy Society General Meeting (PESGM)-
dc.rightsIEEE Power & Energy Society General Meeting (PESGM). Copyright © IEEE.-
dc.rights©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectcontamination technique-
dc.subjectstochastic unit commitment-
dc.subjectprobability distribution-
dc.titleTwo-Stage Stochastic Unit Commitment Considering Distribution Perturbation via Contamination Technique-
dc.typeConference_Paper-
dc.identifier.emailHou, Y: yhhou@hku.hk-
dc.identifier.authorityHou, Y=rp00069-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/PESGM41954.2020.9281648-
dc.identifier.scopuseid_2-s2.0-85099120652-
dc.identifier.hkuros327410-
dc.identifier.spage1-
dc.identifier.epage5-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats