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基于電場特征集和支持向量機的空氣間隙起暈和擊穿電壓預測研究

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  本文選題:空氣間隙 + 起暈電壓; 參考:《武漢大學》2014年博士論文


【摘要】:特高壓電網可以顯著提高電網的安全性、可靠性、靈活性和經濟性。電磁環(huán)境和外絕緣特性是特高壓輸變電工程設計和運行的重點關注問題,其核心內容分別為電暈控制和空氣間距選擇,基本依據分別為空氣間隙的起暈和擊穿特性?己诵栽囼炇菣z驗特高壓工程設計是否滿足要求的主要依據,但試驗存在周期長、代價高的問題,同時難以窮舉實際輸變電工程間隙。此外,試驗取得的研究結論大都建立在間隙尺度之上,對于工程上難以采用幾何尺度進行描述的復雜間隙結構,其適用范圍受到了很大的限制。因此,有必要深入開展空氣間隙放電機理和模型的研究,通過仿真手段預測得到各種間隙結構在不同運行條件下的起暈和擊穿電壓值,并用于指導實際輸變電工程設計。 目前,空氣間隙起暈和擊穿電壓的預測方法主要包括經驗、半經驗公式和物理模型。經驗、半經驗公式由于某些參數是在特定試驗條件或前提假設下獲得的,故適用范圍有限。物理模型從放電發(fā)展的物理過程來預測電暈或擊穿特性,在過去20年內取得了長足進展。然而,由于物理模型十分復雜,仍存在一些尚未解決的問題,導致其預測值與試驗值仍存在較大偏差,難以有效指導實際工程設計。針對上述問題,本文提出了一種基于電場特征集和支持向量機(support vector machine, SVM)的空氣間隙起暈和擊穿電壓預測方法;谔岢龅姆椒,對輸變電工程中的金具(如棒、球結構)和絞線的直流起暈電壓以及不同電極結構空氣間隙的擊穿電壓進行了預測,并分析了相關的影響因素。同時,對部分間隙結構的起暈和擊穿電壓進行了試驗測量,結合相關文獻的試驗數據,驗證了所提出的空氣間隙起暈和擊穿電壓預測方法的有效性。最后,提出了一種提高長空氣間隙絕緣強度的措施,并進行了試驗驗證。本文的研究成果對特高壓輸變電工程的電暈控制和空氣間距選擇具有一定的理論和工程應用價值。本文的主要內容及取得的成果如下: (1)提出了一種基于電場特征集和SVM的空氣間隙起暈和擊穿電壓預測方法。提出采用電場特征集表征空氣間隙結構,作為SVM的輸入參量;以間隙是否起暈或擊穿作為SVM的輸出參量,即將起暈和擊穿電壓的預測由回歸問題轉換成二分類問題,建立了空氣間隙起暈和擊穿電壓的預測模型。 (2)基于提出的方法,對棒-板間隙的正直流起暈電壓進行了預測研究,通過對比預測值與試驗值及已有方法的預測值,證明了所提出方法對起暈電壓預測的有效性和優(yōu)越性。提出了起暈電壓測量的臭氧檢測法,結合提出的預測方法,分析了絕緣罩對棒-板間隙負直流起暈電壓的影響,結果表明:在棒-板間距大于一定值后,絕緣罩表面積累的空間電荷會提高棒-板間隙的負直流起暈電壓值,起暈電壓增益隨間距的增大和絕緣罩內徑的減小而增大。對+660kV直流換流站閥廳內均壓球的起暈電壓進行了試驗和預測研究,得到了均壓球表面的起暈場強控制值,通過對比電場有限元數值計算結果,證明了均壓球在閥廳運行環(huán)境中不會起暈。 (3)將提出的方法應用于負直流下絞線的起暈電壓預測中,將預測值與試驗值及已有方法的預測值進行了對比。結合起暈電壓的光電離預測模型,分析了絞線起暈電壓與大氣參數(氣壓、海拔、溫度)和絞線結構參數(絞線半徑、對地高度、分裂間距、分裂數)的關系,以及絞線表面粗糙系數與絞線半徑和最外層細導線數的關系。 (4)采用提出的方法對稍不均勻電場短空氣間隙的工頻擊穿電壓進行了預測,同時開展了工頻耐壓試驗,研究中考慮了球隙、棒-板和球-板等典型電極結構和球-板-球異形電極結構。通過對比預測值和試驗值,驗證了方法對稍不均勻電場短空氣間隙擊穿電壓預測的有效性。對比分析了BP神經網絡、RBF神經網絡和SVM三種方法對考慮溫濕度影響的球隙工頻擊穿電壓的預測效果,證明了SVM方法在非線性逼近和泛化能力方面具有一定的優(yōu)越性。 (5)針對極不均勻電場長空氣間隙擊穿特性明顯受到電暈放電產生的空間電荷影響的問題,在稍不均勻電場短空氣間隙擊穿電壓預測模型的基礎上,提出了兩種考慮電暈影響的方法,并進行了對比分析。將提出的方法成功應用于球-板長間隙的正極性操作沖擊50%放電電壓預測中,從而在一定精度要求范圍內,可采用預測替代試驗,達到減少試驗次數和降低試驗費用的效果。最后,提出了一種多間隙結構提高長空氣間隙絕緣強度的措施,并進行了試驗驗證。
[Abstract]:UHV power grid can significantly improve the security, reliability, flexibility and economy of the power grid. The electromagnetic environment and external insulation characteristics are the key concerns of the design and operation of UHV transmission and transformation engineering. The core contents are corona control and air spacing selection, and the basic basis is the halo and breakdown characteristics of air gap, respectively. Nuclear test is the main basis for testing the requirements of UHV Engineering design, but the test has a long period and high cost. At the same time, it is difficult to exhaustion the actual transmission and Transformation Engineering gap. In addition, the research conclusions obtained by the experiment are mostly based on the gap scale, which can not be described by the geometric scale in the process. The gap structure has been greatly restricted. Therefore, it is necessary to carry out the research on the mechanism and model of air gap discharge, and predict the halo and breakdown voltage of various gap structures under different operating conditions by means of simulation, and use it to guide the design of actual transmission and transmission engineering.
At present, the prediction method of air clearance and breakdown voltage mainly includes experience, semi empirical formula and physical model. Experience, semi empirical formula, because some parameters are obtained under specific test conditions or premise assumptions, so the scope of application is limited. The physical model predicts corona or breakdown characteristics from the physical process of discharge development. It has made great progress in 20 years. However, because of the complexity of the physical model, there are still some unsolved problems, which lead to a large deviation between the predicted value and the test value, and it is difficult to effectively guide the actual engineering design. In this paper, an electric field feature set and a support vector machine (support vector machine) are proposed in this paper. SVM) the prediction method of air clearance and breakdown voltage. Based on the proposed method, the DC corona voltage and the breakdown voltage of different electrode structures in the transmission and transformation project are predicted, and the related factors are analyzed. At the same time, the halo and shock of some gap structures are also analyzed. The test measurements were carried out and the effectiveness of the proposed method for predicting the air clearance and breakdown voltage was verified by the experimental data of relevant literature. Finally, a measure to improve the insulation strength of the long air gap was proposed and tested. The results of the research on the corona control of the UHV transmission and transformation project. The selection of air distance has certain theoretical and engineering application value. The main contents and achievements of this paper are as follows:
(1) a prediction method of air clearance and breakdown voltage based on the characteristic set of electric field and SVM is proposed. It is proposed to use the characteristic set of the electric field to represent the air gap structure as the input parameter of the SVM. If the gap is halo or breakdown as the output parameter of the SVM, the prediction of the forthcoming halo and the breakdown voltage is converted from the regression to the two classification. A prediction model for the vignetting and breakdown voltage of the air gap is established.
(2) based on the proposed method, the positive DC corona voltage of the rod and plate gap is predicted. The effectiveness and superiority of the proposed method to the prediction of the halo voltage is proved by comparing the predicted values and the predicted values and the predicted values of the existing methods. The ozone detection method for the measurement of the halo voltage is proposed, and the analysis of the proposed method is analyzed. The effect of insulation cover on the negative DC corona voltage in rod and plate clearance is shown. The results show that after the rod and plate spacing is greater than a certain value, the space charge with the surface area of the insulating cover increases the negative DC corona voltage value of the rod and plate gap, and the gain of the halo voltage increases with the increase of the distance and the decrease of the inner diameter of the insulating cover. The valve hall of the +660kV DC converter station is increased. The corona voltage of the internal uniform pressure ball is tested and predicted, and the control value of the corona field strength on the surface of the pressure ball is obtained. By comparing the numerical results of the finite element analysis of the electric field, it is proved that the pressure sharing ball will not be halo in the operating environment of the valve hall.
(3) the proposed method is applied to the prediction of the halo voltage of the negative DC stranded wire. The predicted values are compared with the experimental values and the predicted values of the existing methods. Combined with the photoionization prediction model of the halo voltage, the stranded corona voltage and atmospheric parameters (air pressure, altitude, temperature) and the structure parameters of the strands (the radius of the twisted line, the ground height, and the height of the ground are analyzed. The relationship between the crack spacing, splitting number, and the surface roughness coefficient of the stranded wire is related to the radius of the stranded wire and the number of the outermost thin wires.
(4) the proposed method is used to predict the power frequency breakdown voltage of the short air gap in a slightly uneven electric field, and the power frequency pressure test is carried out at the same time. In the study, the typical electrode structure and the ball plate and ball special-shaped electrode structure are taken into consideration in the study. By comparing the predicted values and the experimental values, the method is proved to be slightly uneven electric field. The effectiveness of short air gap breakdown voltage prediction is compared and analyzed by comparing the prediction effect of three methods of BP neural network, RBF neural network and SVM on the frequency breakdown voltage of spherical gap considering the influence of temperature and humidity. It is proved that the SVM method has a certain advantage over the nonlinear approximation and generalization ability.
(5) on the basis of the prediction model of the short air gap breakdown voltage in a slightly uneven electric field, two methods to consider the effect of corona are put forward on the basis of the effect of the space charge of the corona discharge on the gap breakdown characteristic of the air gap in the extremely uneven electric field. The method is applied to the ball plate length successfully. The positive polar operation of the gap is used to predict the 50% discharge voltage. In the range of a certain precision, the prediction substitution test can be used to reduce the test times and reduce the cost of the test. Finally, a multi gap structure is proposed to improve the insulation strength of the long air gap, and the experimental verification is carried out.

【學位授予單位】:武漢大學
【學位級別】:博士
【學位授予年份】:2014
【分類號】:TM83

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