海上风电机组辅助监控系统方案设计
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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。
[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.
[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.
引文
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[8] 寇兴魁. 风电场管理信息系统的设计与实现 [D]. 成都:电子科技大学,2013.
[9] 卞俊善. 基于智能电网的变电站综合监控系统设计应用 [D]. 北京:华北电力大学(北京),2011.
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[11] 万黎升,曹洋,闫照云. 风电场群远程集中监控与生产管理系统设计 [J]. 江西电力,2016,40(6):13-17. WAN L S,CAO Y,YAN Z Y. Design of remote centralized monitoring and production management system for wind farms [J]. Jiangxi Electric Power,2016,40(6):13-17.
[12] 李辉,胡姚刚,李洋,等. 大功率并网风电机组状态监测与故障诊断研究综述 [J]. 电力自动化设备,2016,36(1):6-16. LI H,HU Y G,LI Y,et al. Overview of condition monitoring and fault diagnosis for grid-connected high-power wind turbine unit [J]. Electric Power Automation Equipment,2016,36(1):6-16.
[2] 中华人民共和国住房和城乡建设部.海上风力发电场设计规范(送审版) [S]. 北京:中国电力出版社,2017.
[3] 国家电网公司.智能变电站一体化监控系统建设技术规范:Q/GDW 679—2011 [S]. 北京:中国电力出版社,2011. State Grid Corporation.Technical specifications for construction of integrated supervision and control system of smart substation:Q/GDW 679—2011 [S]. Beijing:China Electric Power Press,2011.
[4] 国家电力监管管理委员会.电力二次系统安全防护规定:国家电力监督管理委员会令第5号 [S]. 北京:中国电力出版社,2005. State Electricity Regulatory Commission.Regulations on the protection of secondary power systems:State Electricity Regulatory Commission Order No.5 [S]. Beijing:China Electric Power Press,2005.
[5] 徐龙博,李煜东,汪少勇,等. 海上风电场数字化发展设想 [J]. 电力系统自动化,2014,38(3):189-193+199. XU L B,LI Y D,WANG S Y,et al. Digital development assumptions of offshore wind farms [J]. Automation of Electric Power Systems,2014,38(3):189-193+199.
[6] 傅质馨,袁越. 海上风电机组状态监控技术研究现状与展望 [J]. 电力系统自动化,2012,36(21):121-129. FU Z X,YUAN Y. Status and prospection condition monitoring technologies of offshore wind turbine [J]. Automation of Electric Power Systems,2012,36(21):121-129.
[7] 樊陈,倪益民,窦仁晖,等. 智能变电站一体化监控系统有关规范解读 [J]. 电力系统自动化,2012,36(19):1-5. FAN C,NI Y M,DOU R H,et al. Interpretation of relevant specifications of integrated supervision and control systems in smart substations [J]. Automation of Electric Power Systems,2012,36(19):1-5.
[8] 寇兴魁. 风电场管理信息系统的设计与实现 [D]. 成都:电子科技大学,2013.
[9] 卞俊善. 基于智能电网的变电站综合监控系统设计应用 [D]. 北京:华北电力大学(北京),2011.
[10] 中国长江三峡集团公司.风力发电机组状态在线监测与故障诊断系统技术导则:Q/CTG 91—2017 [S]. 北京:中国电力出版社,2017.
[11] 万黎升,曹洋,闫照云. 风电场群远程集中监控与生产管理系统设计 [J]. 江西电力,2016,40(6):13-17. WAN L S,CAO Y,YAN Z Y. Design of remote centralized monitoring and production management system for wind farms [J]. Jiangxi Electric Power,2016,40(6):13-17.
[12] 李辉,胡姚刚,李洋,等. 大功率并网风电机组状态监测与故障诊断研究综述 [J]. 电力自动化设备,2016,36(1):6-16. LI H,HU Y G,LI Y,et al. Overview of condition monitoring and fault diagnosis for grid-connected high-power wind turbine unit [J]. Electric Power Automation Equipment,2016,36(1):6-16.