Suzhou Electric Appliance Research Institute
期刊號: CN32-1800/TM| ISSN1007-3175

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基于最優(yōu)路徑的電網(wǎng)狀態(tài)計(jì)算與不良數(shù)據(jù)辨識

來源:電工電氣發(fā)布時(shí)間:2019-11-19 13:19 瀏覽次數(shù):648
基于最優(yōu)路徑的電網(wǎng)狀態(tài)計(jì)算與不良數(shù)據(jù)辨識
 
杜亮
(廣州供電局有限公司,廣東 廣州 510600)
 
    摘 要:電網(wǎng)狀態(tài)計(jì)算與不良數(shù)據(jù)辨識,能為電力系統(tǒng)運(yùn)行分析提供準(zhǔn)確可靠的數(shù)據(jù)系統(tǒng),是電網(wǎng)安全穩(wěn)定控制的基礎(chǔ)。提出了一種考慮不同量測精度和量測方向的網(wǎng)絡(luò)搜索新方法,選擇量測組合精度更高的最優(yōu)路徑進(jìn)行狀態(tài)計(jì)算。利用電壓一致性檢測、PMU/SCADA一致性檢測、KCL一致性檢測和KVL一致性檢測方法,實(shí)現(xiàn)不良數(shù)據(jù)辨識。IEEE 14節(jié)點(diǎn)系統(tǒng)算例結(jié)果表明,最優(yōu)路徑法具有較高的計(jì)算精度,且能正確辨識不良數(shù)據(jù)。
    關(guān)鍵詞:最優(yōu)路徑;狀態(tài)計(jì)算;不良數(shù)據(jù)辨識;一致性檢測
    中圖分類號:TM744     文獻(xiàn)標(biāo)識碼:A     文章編號:1007-3175(2019)11-0025-05
 
Power Grid State Calculation and Outlier Detection Based on Optimal Path-Finding Technique
 
DU Liang
(Guangzhou Power Supply Co., Ltd, Guangzhou 510600, China)
 
    Abstract: State calculation and outlier detection can provide reliable data for power grid security and stability control, so they are extremely important for power system. This paper presented a new state calculation method based on the optimal path-finding network search technique by selecting calculation paths considering redundancy, accuracy and direction. This paper used the voltage consistency check, the PMU/SCADA consistency check, the KCL consistency check and the KVL consistency check to realize the outlier detection. Examples on IEEE 14 bus system show that this method has a high accuracy in state calculation and outlier detection in power system.
    Key words: optimal path; state calculation; outlier detection; consistency check
 
參考文獻(xiàn)
[1] 于爾鏗. 電力系統(tǒng)狀態(tài)估計(jì)[M]. 北京:水利電力出版社,1985.
[2] 丁軍策,蔡澤祥,王克英. 基于廣域測量系統(tǒng)的狀態(tài)估計(jì)研究綜述[J]. 電力系統(tǒng)自動化,2006,30(7):98-103.
[3] 楊韻. 計(jì)及零注入約束的電力系統(tǒng)動態(tài)狀態(tài)估計(jì)[J]. 廣東電力,2016,29(9):73-77.
[4] 趙海天,相年德,王世纓,等. 多不良數(shù)據(jù)的相關(guān)量測檢測方法[J]. 中國電機(jī)工程學(xué)報(bào),1990,10(6):24-30.
[5] TAN P N, STEINBACK M, KUMAR V.Introduction to Data Mining[J].Data Analysis in the Cloud,2006,26(25):1-25.
[6] 錢景輝,梁棟. 一種基于多標(biāo)記的局部離群點(diǎn)檢測算法[J]. 微電子學(xué)與計(jì)算機(jī),2017(10):116-120.
[7] 李宇翀,羅興國,錢葉魁,等.RMPCM:一種基于健壯多元概率校準(zhǔn)模型的全網(wǎng)絡(luò)異常檢測方法[J]. 通信學(xué)報(bào),2015,36(11):201-212.
[8] YANG Y, HU W, MIN Y, et al.Outlier detection based on improved SOM and its application in power system[C]//IEEE Power and Energy Society General Meeting,2013:1-5.
[9] BONANOMI P, GRAMBERG G.Power system data validation and state calculation by network search techniques[J].IEEE Transactions on Power Apparatus and Systems,1983(1):238-249.
[10] 費(fèi)業(yè)泰. 誤差理論與數(shù)據(jù)處理[M]. 北京:機(jī)械工業(yè)出版社,2000.