本文選題：回復電壓　切入點：變壓器　出處：《福州大學》2014年碩士論文　論文類型：學位論文

【摘要】：本課題是在國家自然科學基金項目《基于電路分析法和恢復電壓響應的油紙絕緣老化診斷方法》(基金編號為61174117)資助下提出的,以油紙絕緣變壓器的絕緣系統(tǒng)為主要研究對象,為了深入研究極化譜與回復電壓特征參數和變壓器絕緣狀態(tài)之間的關系,搭建計算機模型和制作模擬實驗平臺,完成大量的仿真和實驗,對油紙絕緣系統(tǒng)的回復電壓特性進行探討,并將本文獲得的回復電壓診斷判據思路與實際測試結果相結合,相互佐證了利用回復電壓法對變壓器絕緣狀態(tài)診斷的可行性。因此,基于極化譜和回復電壓特征參數的絕緣狀態(tài)診斷法具有繼續(xù)深入的探索價值和廣泛的實際應用前景。本文研究的主要工作在于：(1)以擴展德拜介質響應模型為出發(fā)點,對如何準確辨識模型參數進行研究,首次在該參數辨識中引入分層思路,并提出分層粒子群優(yōu)化算法,實現基于回復電壓現場測試數據的等值模型參數辨識,通過與未改進的粒子群優(yōu)化算法對比分析可知,其具有使用靈活、精確高效等特點。(2)在介質響應等值電路模型和參數辨識的基礎上,仿真研究絕緣狀態(tài)、極化譜、回復電壓特征參數和等值模型參數之間的內在聯系,并提出模型支路數與絕緣狀態(tài)之間的對應關系,即絕緣狀態(tài)越差,引用模型支路數則應有所增加；成功通過等值模型對回復電壓極化譜的非標準化進行了仿真,揭示絕緣狀態(tài)造成非標準極化譜的內部影響因素,提出對非標準極化譜的模型辨識研究思路。(3)根據實際油紙絕緣變壓器絕緣結構,提出“Ⅱ”型模擬絕緣系統(tǒng),基于模擬實驗平臺,實驗研究了充電電壓、充放電時間比等外設取值對測試數據的影響,并從水分、紙老化、絕緣紙層數和氣隙(氣泡)出發(fā),進行了回復電壓特性分析,目前運用回復電壓法對含氣隙的絕緣系統(tǒng)的研究還未見其他學者有所涉及,所以該研究方向具有一定的研究價值。(4)將現場測試結果與本文研究所得的絕緣診斷思路相結合,提出根據極化譜、回復電壓峰值時間和初始斜率三者綜合考量的診斷理念,具體項目如下：a)對相同電壓等級不同容量的油紙絕緣變壓器進行現場測試,提出容量接近的變壓器測試數據才具有可比性；b)根據實際變壓器不同絕緣狀態(tài)下獲取的極化譜和特征參數,提出該法可用于具體故障相的精確判別；c)根據現場測試,說明模型支路數確與絕緣狀態(tài)具有相關性；d)首次將實際測試所得的非標準極化譜成功用于建立等值模型,并指出局部受潮是其非標準化的原因之一。
[Abstract]:This subject is proposed under the project of National Natural Science Foundation of China, "diagnosis method of Oil-Paper Insulation Aging based on Circuit Analysis and recovery Voltage response" (fund number 61174117). The main research object is the insulation system of oil-paper insulated transformer. In order to deeply study the relationship between polarization spectrum and characteristic parameters of recovery voltage and insulation state of transformer, computer model and simulation experiment platform are built, and a large number of simulations and experiments are completed. The characteristics of recovery voltage of oil-paper insulation system are discussed, and the diagnostic criterion of recovery voltage obtained in this paper is combined with the actual test results, which proves the feasibility of diagnosing the insulation state of transformers by the method of recovery voltage. The insulation state diagnosis method based on polarization spectrum and recovery voltage characteristic parameters has further exploration value and wide application prospect. The main work of this paper is to expand the Debye medium response model. This paper studies how to identify the model parameters accurately, introduces the delamination idea into the parameter identification for the first time, and puts forward the layered particle swarm optimization algorithm to realize the equivalent model parameter identification based on the field test data of the recovery voltage. By comparing with the unimproved particle swarm optimization algorithm, it can be seen that it has the characteristics of flexibility, accuracy and high efficiency. On the basis of the equivalent circuit model of dielectric response and parameter identification, the insulation state and polarization spectrum are simulated and studied. The relationship between the characteristic parameters of the recovery voltage and the equivalent model parameters is put forward, and the corresponding relationship between the number of the model branches and the insulation state is put forward, that is, the worse the insulation state, the more the number of the quoting model branches should be increased. The non-standardization of the reverse-voltage polarization spectrum is successfully simulated by the equivalent model, and the internal influence factors of the non-standard polarization spectrum caused by the insulation state are revealed. According to the insulation structure of oil-paper insulated transformer, the "鈪，

本文編號：1587705