发明名称 DECISION SUPPORT SYSTEM (DSS) FOR MAINTENANCE OF A PLURALITY OF RENEWABLE ENERGY GENERATORS IN A RENEWABLE POWER PLANT
摘要 The invention relates to a decision support system (DSS, 1) for maintenance of renewable energy generators, such as wind turbine generator (WTG, 11). A forecasting module (FM, 21) outputs renewable power plant relevant parameters (PF) in a prediction window of time (TW), whereas an optimization module (OPT, 22) receives the relevant parameters (PF), and proposes a maintenance schedule (PROP-MAN) for the renewable power plant (WPP) in order to optimize the produced energy with respect to the demand in said predefined prediction window (TW). A renewable energy generator condition module (WT-CON, 23) outputs condition data into maintenance recommendations (REC-MAN) for one or more renewable energy generators. Finally, a renewable energy generator maintenance recommendation module (WTM, 24) is arranged to combine the proposed maintenance schedule and the maintenance recommendations into a final maintenance decision proposal (FIN-PROP-MAN). The invention changes the traditional concept of reactive and predictive maintenance technique for renewable energy generators, such as wind turbine generators.
申请公布号 US2014316838(A1) 申请公布日期 2014.10.23
申请号 US201214358521 申请日期 2012.12.07
申请人 VESTAS WIND SYSTEMS A/S 发明人 Zhou Yu;Mohamed Salleh Mohamed Faisal Bin;Lim Khoon Peng;Vinther Rasmus Tarp
分类号 G06Q10/06;G06Q10/04 主分类号 G06Q10/06
代理机构 代理人
主权项 1. A decision support system for maintenance of a plurality of renewable energy generators in an associated renewable power plant, the system comprising: a forecasting module arranged for outputting a plurality of renewable power plant relevant parameters in a predefined prediction window of time, an optimization module, the module being capable of receiving said plurality of renewable power plant relevant parameters and processing therefrom a proposed maintenance schedule for the renewable power plant in order to optimize the produced energy with respect to the demand in said predefined prediction window, a renewable energy generator condition module arranged for storing and/or receiving condition data from the plurality of renewable energy generators in the renewable power plant, and processing said condition data into maintenance recommendations for one or more renewable energy generators, and a renewable energy generator maintenance recommendation module arranged for receiving said proposed maintenance schedule for the renewable power plant from the optimization module, and said maintenance recommendations for one or more renewable energy generators from the renewable energy generator condition module, and further being arranged to combine the proposed maintenance schedule and the maintenance recommendations into a final maintenance decision proposal.
地址 Aarhus N DK