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Conference Paper: Multi-Stage Stochastic Planning of Wind Generation Considering Decision-Dependent Uncertainty in Wind Power Curve

TitleMulti-Stage Stochastic Planning of Wind Generation Considering Decision-Dependent Uncertainty in Wind Power Curve
Authors
Keywordswind generation
decision-dependent uncertainty
generation expansion planning
multi-stage stochastic programming
stochastic wind power curve
Issue Date2019
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800214
Citation
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, Romania, 29 September - 2 October 2019, p. 1-5 How to Cite?
AbstractVariability and uncertainty in wind generation brings new challenges to power system planning. In addition to inaccurate prediction of wind speed, recent studies have revealed that the actual wind turbine power curve (WTPC) is also uncertain before installation and operation of wind turbine (WT), which has unneglected impacts on future operations and should also be taken into consideration when make wind generation expansion plan. The uncertainty in actual WTPC is decision-dependent since its resolve time depends on previous investment decisions to acquire more accurate information of WTPC. Under this background, in this paper, we propose a multi-stage stochastic planning model for wind generation, considering both the exogenous uncertainty in load and wind speed prediction and the decision-dependent uncertainty in WTPC. First, the uncertainty modeling is presented and the decision-dependency of uncertainty in actual WTPC is illustrated. Then the multi-stage wind generation planning model is established with objectives of minimizing total expected cost in planning horizon, followed by physical constraints of power system and non-anticipativity constraints among scenarios. Case study demonstrated advantages of the proposed multi-stage stochastic planning of wind generation.
Persistent Identifierhttp://hdl.handle.net/10722/289875
ISBN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYin, W-
dc.contributor.authorXue, Y-
dc.contributor.authorLei, S-
dc.contributor.authorHou, Y-
dc.date.accessioned2020-10-22T08:18:43Z-
dc.date.available2020-10-22T08:18:43Z-
dc.date.issued2019-
dc.identifier.citation2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, Romania, 29 September - 2 October 2019, p. 1-5-
dc.identifier.isbn9781538682197-
dc.identifier.urihttp://hdl.handle.net/10722/289875-
dc.description.abstractVariability and uncertainty in wind generation brings new challenges to power system planning. In addition to inaccurate prediction of wind speed, recent studies have revealed that the actual wind turbine power curve (WTPC) is also uncertain before installation and operation of wind turbine (WT), which has unneglected impacts on future operations and should also be taken into consideration when make wind generation expansion plan. The uncertainty in actual WTPC is decision-dependent since its resolve time depends on previous investment decisions to acquire more accurate information of WTPC. Under this background, in this paper, we propose a multi-stage stochastic planning model for wind generation, considering both the exogenous uncertainty in load and wind speed prediction and the decision-dependent uncertainty in WTPC. First, the uncertainty modeling is presented and the decision-dependency of uncertainty in actual WTPC is illustrated. Then the multi-stage wind generation planning model is established with objectives of minimizing total expected cost in planning horizon, followed by physical constraints of power system and non-anticipativity constraints among scenarios. Case study demonstrated advantages of the proposed multi-stage stochastic planning of wind generation.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800214-
dc.relation.ispartofIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)-
dc.rightsIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe). Copyright © IEEE.-
dc.rights©2019 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.subjectwind generation-
dc.subjectdecision-dependent uncertainty-
dc.subjectgeneration expansion planning-
dc.subjectmulti-stage stochastic programming-
dc.subjectstochastic wind power curve-
dc.titleMulti-Stage Stochastic Planning of Wind Generation Considering Decision-Dependent Uncertainty in Wind Power Curve-
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/ISGTEurope.2019.8905758-
dc.identifier.scopuseid_2-s2.0-85075900576-
dc.identifier.hkuros316693-
dc.identifier.spage1-
dc.identifier.epage5-
dc.identifier.isiWOS:000550100400292-
dc.publisher.placeUnited States-

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