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  • 标题:A Framework to Support the Fusion of Operation and Planning
  • 本地全文:下载
  • 作者:Yousu Chen ; Pavel Etingov ; Erin Fitzhenry
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:30
  • 页码:427-432
  • DOI:10.1016/j.ifacol.2015.12.416
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe management of the nation’s power system has progressed to the point where the boundary lines between operations and planning are becoming blurred. The dynamic behavior of smart grid technologies brings pressures of incorporating the predictive capability from planning to enhance operations. These needs are requiring a smoother, better integrated interplay between the functional roles of planning and operations. This paper presents a framework to support the fusion of operation and planning. A case study of predicting the intra-hour deficiency in generation capability and ramping capacity and presenting the outputs to operators was conducted. The study shows the benefits of the fusion and the effectiveness of the framework. All the function blocks used in the study were built upon GridOPTICS Software System (GOSS), a software system middleware platform that facilitates deployment of new applications for the future power grid. The framework has been used in an operator training class and its usability and effectiveness have been validated.
  • 关键词:KeywordsMiddlewarePower system managementPower system planningRamping capacityUncertainty analysis
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