基于模糊綜合評價的水輪發(fā)電機組局部放電狀態(tài)評估
發(fā)布時間:2018-12-15 01:16
【摘要】:局部放電可以有效反映水輪發(fā)電機組的絕緣狀況,因此對局部放電故障進行狀態(tài)評估對掌握水電機組的絕緣劣化程度具有重要意義。本文建立了基于模糊綜合評價的機組局部放電狀態(tài)評估模型。首先根據(jù)水電機組的實際運行情況和放電能量,將機組的局部放電故障均劃分為3種狀態(tài)等級;然后以局部放電脈沖相位分布(PRPD)圖譜的5個統(tǒng)計特征參數(shù)為評價指標,建立了基于模糊綜合評價的水電機組局部放電狀態(tài)評估模型;最后,根據(jù)得到的隸屬度對機組局部放電故障的狀態(tài)等級進行評定。實例分析結果表明,該方法能夠準確、有效地判別水電機組局部放電故障的狀態(tài)等級,從而實現(xiàn)對機組絕緣狀況的準確評估,具有一定的工程實用價值。
[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.
【作者單位】: 西安理工大學水利水電學院;甘肅省電力科學研究院;
【基金】:國家自然科學基金資助項目(51279161) 陜西省水利科技計劃資助項目(2015slkj-04) 國網(wǎng)甘肅省電力公司科技項目(522722150012)
【分類號】: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.
【作者單位】: 西安理工大學水利水電學院;甘肅省電力科學研究院;
【基金】:國家自然科學基金資助項目(51279161) 陜西省水利科技計劃資助項目(2015slkj-04) 國網(wǎng)甘肅省電力公司科技項目(522722150012)
【分類號】:TM312
【參考文獻】
相關期刊論文 前10條
1 武樺;賈嶸;羅興,
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