Economic dispatch for wind farm using model predictive control method
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gui, Yonghao | - |
dc.contributor.author | Kim, Chunghun | - |
dc.contributor.author | Chung, Chung Choo | - |
dc.date.accessioned | 2022-07-16T06:22:38Z | - |
dc.date.available | 2022-07-16T06:22:38Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2014-01 | - |
dc.identifier.issn | 1598-7833 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/160869 | - |
dc.description.abstract | An 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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Economic dispatch for wind farm using model predictive control method | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Chung Choo | - |
dc.identifier.doi | 10.1109/ICCAS.2013.6704239 | - |
dc.identifier.scopusid | 2-s2.0-84893535217 | - |
dc.identifier.bibliographicCitation | International Conference on Control, Automation and Systems, pp.1836 - 1839 | - |
dc.relation.isPartOf | International Conference on Control, Automation and Systems | - |
dc.citation.title | International Conference on Control, Automation and Systems | - |
dc.citation.startPage | 1836 | - |
dc.citation.endPage | 1839 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Economic Dispatch | - |
dc.subject.keywordPlus | Economic dispatch problems | - |
dc.subject.keywordPlus | Maximum Power Point Tracking | - |
dc.subject.keywordPlus | optimal | - |
dc.subject.keywordPlus | Optimal solutions | - |
dc.subject.keywordPlus | Prediction time horizon | - |
dc.subject.keywordPlus | Simulation studies | - |
dc.subject.keywordPlus | Wind farm | - |
dc.subject.keywordPlus | Electric utilities | - |
dc.subject.keywordPlus | Model predictive control | - |
dc.subject.keywordPlus | Scheduling | - |
dc.subject.keywordPlus | Weather forecasting | - |
dc.subject.keywordPlus | Wind power | - |
dc.subject.keywordPlus | Wind turbines | - |
dc.subject.keywordPlus | Predictive control systems | - |
dc.subject.keywordAuthor | Economic dispatch | - |
dc.subject.keywordAuthor | model predictive control | - |
dc.subject.keywordAuthor | optimal | - |
dc.subject.keywordAuthor | wind farm | - |
dc.subject.keywordAuthor | wind turbine | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/6704239 | - |
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