电网与清洁能源
電網與清潔能源
전망여청길능원
ADVANCES OF POWER SYSTEM & HYDROELECTRIC ENGINEERING
2014年
11期
103-108
,共6页
王奇%张晗%邓军%耿大庆%吴芳慈
王奇%張晗%鄧軍%耿大慶%吳芳慈
왕기%장함%산군%경대경%오방자
风力发电设备%状态评价%故障诊断
風力髮電設備%狀態評價%故障診斷
풍력발전설비%상태평개%고장진단
wind power equipment%condition evaluation%fault diagnosis
基于状态评价的风力发电设备故障诊断系统,通过实时监控表征风力发电设备运行情况的状态量,依据风力发电设备状态评价导则,对风力发电设备进行状态评价,并依据状态评价的结果,对潜在故障进行诊断分析。同时给出相应的运维策略,通过早期故障预测,变事后维护为事前检修,科学合理地安排检修计划,极大地提高了风力发电设备的运维效率,降低了机组的维护成本,保证了风力发电机组的可靠稳定运行。依据此方法研制的风力发电设备故障诊断系统,已成功应用于南方电网超高压输电公司检修试验中心。实践证明,该方法有效地提高了风力发电设备故障诊断的实时性与准确性。
基于狀態評價的風力髮電設備故障診斷繫統,通過實時鑑控錶徵風力髮電設備運行情況的狀態量,依據風力髮電設備狀態評價導則,對風力髮電設備進行狀態評價,併依據狀態評價的結果,對潛在故障進行診斷分析。同時給齣相應的運維策略,通過早期故障預測,變事後維護為事前檢脩,科學閤理地安排檢脩計劃,極大地提高瞭風力髮電設備的運維效率,降低瞭機組的維護成本,保證瞭風力髮電機組的可靠穩定運行。依據此方法研製的風力髮電設備故障診斷繫統,已成功應用于南方電網超高壓輸電公司檢脩試驗中心。實踐證明,該方法有效地提高瞭風力髮電設備故障診斷的實時性與準確性。
기우상태평개적풍력발전설비고장진단계통,통과실시감공표정풍력발전설비운행정황적상태량,의거풍력발전설비상태평개도칙,대풍력발전설비진행상태평개,병의거상태평개적결과,대잠재고장진행진단분석。동시급출상응적운유책략,통과조기고장예측,변사후유호위사전검수,과학합리지안배검수계화,겁대지제고료풍력발전설비적운유효솔,강저료궤조적유호성본,보증료풍력발전궤조적가고은정운행。의거차방법연제적풍력발전설비고장진단계통,이성공응용우남방전망초고압수전공사검수시험중심。실천증명,해방법유효지제고료풍력발전설비고장진단적실시성여준학성。
This paper presents a fault diagnosis system for wind power equipment based on condition evaluation. The state variables and characterizing operation situation of the wind power equipment are monitored real-time. According to state assessment guidelines,condition evaluation is conducted and the result of the evaluation is used to analyze potential faults. In addition,appropriate maintenance strategy is given. Through the early failure prediction,the maintenance after the event is changed to pre-overhaul and the overhaul plan can be arranged reasonably. In this way,the operation and maintenance efficiency of wind power equipment is greatly improved with maintenance cost reduced at the same time. As a result,reliable and stable operation of wind turbines is ensured. The wind power equip-ment fault diagnosis system based on this method is successfully applied in the CSG EHV Power Transmission Company’s over-haul and test center,and the application has proved that this method can effectively improve the real-timing and accuracy of fault diagnosis for wind power equipment.