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dc.contributor.author정정주-
dc.date.accessioned2018-03-23T06:19:38Z-
dc.date.available2018-03-23T06:19:38Z-
dc.date.issued2013-10-
dc.identifier.citationControl, Automation and Systems (ICCAS), 2013 13th International Conference on, 2013, 2013(10), P.1836-1839en_US
dc.identifier.isbn978-89-93215-05-2-
dc.identifier.issn2093-7121-
dc.identifier.urihttp://ieeexplore.ieee.org/document/6704239/-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/51380-
dc.description.abstractAn economic dispatch (ED) problem of committed turbines is solved minimizing each wind turbine’s output power variation by model predictive control (MPC) method. The proposed method could solve the ED problem on-line using prediction time horizon that could be selected flexibly considering time horizon based on wind forecasting errors. Dispatched wind turbines are classified into three groups considering variations of forecasted power generation: maximum power point tracking, balance control, and delta control. From the simulation study using 10 wind turbines we observed that the proposed method effectively provided the optimal solution to the scenario.en_US
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2012-0009146).en_US
dc.language.isoenen_US
dc.publisher제어로봇시스템학회en_US
dc.subjectEconomic dispatchen_US
dc.subjectwind farmen_US
dc.subjectwind turbineen_US
dc.subjectmodel predictive controlen_US
dc.subjectoptimalen_US
dc.titleEconomic Dispatch for Wind Farm Using Model Predictive Control Methoden_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICCAS.2013.6704239-
dc.relation.page1836-1839-
dc.contributor.googleauthorGui, Yonghao-
dc.contributor.googleauthorKim, Chunghun-
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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