基于監測點數據分析的風電場電壓暫降預警研究
柏晶晶1，袁曉冬2，張帥1，柳偉1，陳兵2，顧偉1
1 東南大學 電氣工程學院，江蘇 南京 210096；
2 江蘇省電力公司電力科學研究院，江蘇 南京 210036
摘 要：對風電場電壓暫降指標進行深入數據挖掘并給出適當預警，可及時發現電網中已存在或潛在的電能質量問題并加以改善。利用改進的AHP法確定電壓暫降各個特征量的權重，結合改進的歐氏距離法計算出風電場并網點電壓暫降監測數據、自設等級限值以及前一段時間電壓暫降均值的距離系數，進而快速準確地對風電場電壓暫降干擾的真實水平做出及時預警。通過實例分析，證明了所提方法的實用性和高效率，可將其有效應用于電能質量異常數據預警系統。
關鍵詞：風電場；電壓暫降；預警；改進的歐氏距離法
中圖分類號：TM614；TM712 文獻標識碼：A 文章編號：1007-3175(2014)04-0008-04
Research on Early Warning of Wind Farm Voltage Sag Based on Monitored Data Analysis
BAI Jing-jing1, YUAN Xiao-dong2, ZHANG Shuai1, LIU Wei1, CHEN Bin2, GU Wei1
1 School of Electrical Engineering, Southeast University, Nanjing 210096, China;
2 Jiangsu Electric Power Research Institute, Nanjing 210036, China
Abstract: Further mining voltage sag index of wind farm and suitable early warning could make it possible to timely find the existed and potential power quality problems and to give warning prompts. The improved analytic hierarchy process (AHP) was used to determine the different characteristic weights of voltage sag. Combined with the improved Euclidean distance method, this paper calculate voltage sag monitoring data at wind farm grid points and disposed grading limited values and the distance coefficient of early voltage sag mean to carry out early warning quickly and correctly for the real level of voltage sag disturbance of wind farm. The cases analysis verifies that the proposed approach is useful and high efficient and it is possible to timely conduct power quality early warning for abnormal data.
Key words: wind farm; voltage sag; early warning; improved Euclidean distance method
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