海上风电机组辅助监控系统方案设计 |
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引用本文: | 张振,杨源,阳熹. 海上风电机组辅助监控系统方案设计[J]. 南方能源建设, 2019, 6(1): 49-54. DOI: 10.16516/j.gedi.issn2095-8676.2019.01.009 |
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作者姓名: | 张振 杨源 阳熹 |
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作者单位: | 1.中国能源建设集团广东省电力设计研究院有限公司,广州 510663 |
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基金项目: | 中国能建广东院科技项目“海上风电场电气系统关键技术及电气设计”EV02861W |
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摘 要: | [目的] 考虑海上风电场生产监控与运营管理的需求,分析海上风电机组辅助监控系统总体设计、功能要求、子系统要求。 [方法] 整合风机状态监测系统(含振动在线状态监测系统、风机基础监测系统、螺栓载荷在线监测系统、桨叶状态监测系统、发电机绝缘电阻自动监测系统、雷电远程监测系统、齿轮箱润滑油质在线监测系统、箱变运行状态监测系统)、视频监控系统、风机IP电话系统、扩展功能等,实现风机动力设备、环境、安防的统一监控。 [结果] 该系统结合多参数信息融合,实现电气及机械特征量的风机故障诊断,为广东省海上风电大数据中心的风机性能比较提供支撑。 [结论] 辅助监控系统方案可实现预防性的运营维护,使风电场智能化监控和故障早期预警成为可能。
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关 键 词: | 海上风电机组 辅助监控系统 体系架构 功能要求 |
收稿时间: | 2018-05-28 |
Design of Offshore Wind Farm Auxiliary Monitoring System |
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Affiliation: | 1.China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd., Guangzhou 510663, China |
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Abstract: | [Introduction] This paper considered the requirements of production monitoring and operation management in offshore wind farms, and analyzed the overall design, functional requirements, and subsystem requirements of the auxiliary monitoring system for offshore wind turbines. [Method] This paper integrated the wind condition monitoring system (including vibration online condition monitoring system, wind foundation monitoring system, bolt load on-line monitoring system, blade condition monitoring system, generator insulation resistance automatic monitoring system, lightning remote detection system, gear box lubricant online monitoring system, box change operation monitoring system), video monitoring system, wind IP telephone system, extended functions, etc. [Result] The system incorporates multi-parameter information fusion to achieve fault diagnosis of electrical and mechanical characteristics of wind turbines, providing support for the performance comparison of wind turbines in offshore wind power big data centers in Guangdong Province. [Conclusion] In this way, preventive operation and maintenance can be realized, and a large number of corrective maintenance can be transformed into preventive maintenance, making it possible to intelligently monitor and early warning of wind farm. |
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