公开(公告)号：US20180284707A1

公开(公告)日：2018-10-04

申请号：US15476124

申请日：2017-03-31

申请人： General Electric Company

发明人： Anup Menon ,  Sree Rama Raju Vetukuri ,  Olugbenga Anubi ,  Justin John ,  Marc Gavin Lindenmuth ,  Aditya Kumar ,  RUIJIE SHI ,  Jonathan Thatcher

IPC分类号： G05B19/042 ,  F02C9/28

CPC分类号： G05B19/042 ,  F02C9/28 ,  F05D2270/07 ,  F05D2270/20 ,  G05B2219/2639

摘要： A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.

公开(公告)号：US10452041B2

公开(公告)日：2019-10-22

申请号：US15476124

申请日：2017-03-31

申请人： General Electric Company

发明人： Anup Menon ,  Sree Rama Raju Vetukuri ,  Olugbenga Anubi ,  Justin John ,  Marc Gavin Lindenmuth ,  Aditya Kumar ,  Ruijie Shi ,  Jonathan Thatcher

IPC分类号： G05B19/042 ,  F02C9/28

摘要： A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.