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dc.contributor.author정정주-
dc.date.accessioned2018-03-12T05:25:36Z-
dc.date.available2018-03-12T05:25:36Z-
dc.date.issued2013-07-
dc.identifier.citationPower and Energy Society General Meeting (PES), 2013 IEEE, pp.1 - 5en_US
dc.identifier.issn1932-5517-
dc.identifier.urihttp://ieeexplore.ieee.org/document/6673054/-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/45370-
dc.description.abstractThis paper develops dynamic economic dispatch (DED) using model predictive control (MPC) based on Weibull probabilistic distribution function (PDF). Firstly we performed economic dispatch (ED) based onWeibull PDF.We considered the probabilistic cost about over-estimated and under-estimated cost of wind power by using Weibull PDF. Secondly we implemented DED formulated in a MPC framework using the maximum wind power capability from the ED results since ED does not consider the ramp rate constraint. By using dispatch error cost, we could consider the current status of reliable generation by using the proposed MPC method. It turns out that the DED using MPC method is very effective in coping with intermittent resource such as wind variability.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.titleModel Predictive Control in Dynamic Economic Dispatch using Weibull PDFen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/PESMG.2013.6673054-
dc.relation.page1-5-
dc.contributor.googleauthorKim, Chunghun-
dc.contributor.googleauthorGui, Yonghao-
dc.contributor.googleauthorChung, Chung Choo-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING-
dc.identifier.pidcchung-
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COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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