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作 者:张海洋 谭启明 胡凯凯 张家友 ZHANG Haiyang;TAN Qiming;HU Kaikai;ZHANG Jiayou(CRRC Zhuzhou Institute Co.,Ltd.,Zhuzhou,Hunan 412001,China)
机构地区:[1]中车株洲电力机车研究所有限公司,湖南株洲412001
出 处:《控制与信息技术》2022年第6期99-103,共5页CONTROL AND INFORMATION TECHNOLOGY
摘 要:针对风电上网电价全面平价的政策背景和降低度电成本的行业要求,文章基于Maximo平台构建了企业资产管理(enterprise assets management,EAM)系统,通过信息系统集成、运维业务分层次处理和机组设计优化,实现了运维快速响应、自学习的故障处理和基于设备状态的预防性维护提醒,使风电场平均故障修复时间缩短了17%;通过风电机组数据的精细化管控、基于序列号的物料追溯和标准作业与过程管控,实现了基于物料周转率的库存动态调整,降低了风电场库存备品备件成本及风电场年运行维护费用C_(O&M),以此有效降低风电场度电成本。Aiming at the policy background of the comprehensive parity of wind power grid and the industry requirements for reducing the cost of electricity per kilowatt-hour,this paper implements EAM system based on Maximo platform.Through information system integration,hierarchical processing of operation and maintenance business,and wind turbine design optimization,fast response and self-learning fault handling,preventive maintenance reminder based on equipment status are implemented,and the mean time to repair(MTTR)of wind farms is reduced by 17%.Through the refined control of wind turbine data,material traceability based on serial number,standard operation and process control,dynamic adjustment of inventory based on material turnover rate has been realized,and the cost of spare parts in the wind farm inventory and the annual operation and maintenance costs(C_(O&M))of wind farm are reduced.This effectively reduces the levelized cost of energy in wind farms.
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