基于模糊综合评价的水轮发电机组局部放电状态评估
发布时间：2018-12-15 01:16
【摘要】：局部放电可以有效反映水轮发电机组的绝缘状况,因此对局部放电故障进行状态评估对掌握水电机组的绝缘劣化程度具有重要意义。本文建立了基于模糊综合评价的机组局部放电状态评估模型。首先根据水电机组的实际运行情况和放电能量,将机组的局部放电故障均划分为3种状态等级;然后以局部放电脉冲相位分布(PRPD)图谱的5个统计特征参数为评价指标,建立了基于模糊综合评价的水电机组局部放电状态评估模型;最后,根据得到的隶属度对机组局部放电故障的状态等级进行评定。实例分析结果表明,该方法能够准确、有效地判别水电机组局部放电故障的状态等级,从而实现对机组绝缘状况的准确评估,具有一定的工程实用价值。
[Abstract]:Partial discharge (PD) can effectively reflect the insulation condition of hydroelectric generating set, so it is important to evaluate the condition of PD fault to master the insulation deterioration degree of hydropower unit. In this paper, a model of unit partial discharge state evaluation based on fuzzy comprehensive evaluation is established. Firstly, according to the actual operation condition and discharge energy of the hydropower unit, the partial discharge faults of the unit are divided into three kinds of state grades. Then, based on the five statistical characteristic parameters of partial discharge pulse phase distribution (PRPD) spectrum, a fuzzy comprehensive evaluation model of hydropower unit partial discharge state evaluation is established. Finally, the status of partial discharge fault is evaluated according to the membership degree. The result of example analysis shows that the method can accurately and effectively judge the state grade of partial discharge fault of hydropower unit, and thus realize the accurate evaluation of unit insulation condition, which has certain practical value in engineering.
【作者单位】： 西安理工大学水利水电学院;甘肃省电力科学研究院;
【基金】：国家自然科学基金资助项目(51279161) 陕西省水利科技计划资助项目(2015slkj-04) 国网甘肃省电力公司科技项目(522722150012)
【分类号】：TM312
[Abstract]:Partial discharge (PD) can effectively reflect the insulation condition of hydroelectric generating set, so it is important to evaluate the condition of PD fault to master the insulation deterioration degree of hydropower unit. In this paper, a model of unit partial discharge state evaluation based on fuzzy comprehensive evaluation is established. Firstly, according to the actual operation condition and discharge energy of the hydropower unit, the partial discharge faults of the unit are divided into three kinds of state grades. Then, based on the five statistical characteristic parameters of partial discharge pulse phase distribution (PRPD) spectrum, a fuzzy comprehensive evaluation model of hydropower unit partial discharge state evaluation is established. Finally, the status of partial discharge fault is evaluated according to the membership degree. The result of example analysis shows that the method can accurately and effectively judge the state grade of partial discharge fault of hydropower unit, and thus realize the accurate evaluation of unit insulation condition, which has certain practical value in engineering.
【作者单位】： 西安理工大学水利水电学院;甘肃省电力科学研究院;
【基金】：国家自然科学基金资助项目(51279161) 陕西省水利科技计划资助项目(2015slkj-04) 国网甘肃省电力公司科技项目(522722150012)
【分类号】：TM312
【参考文献】
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1 武桦;贾嵘;罗兴，
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