發(fā)布時間：2019-04-02 04:06

【摘要】：隨著電網規(guī)模不斷擴大,對電網的安全運行提出了更大的挑戰(zhàn),而準確的模型參數是電力系統(tǒng)運行分析、仿真和故障診斷的基礎,對電網安全運行有重要意義,故快速準確獲得可靠的模型參數是保證電力系統(tǒng)安全運行的基本問題。發(fā)電機作為電網能量的來源,其參數的精確性對電網運行分析有十分重要的影響。本文在原有同步發(fā)電機參數辨識方案的基礎上進行了改進,將對參數的靈敏度計算環(huán)節(jié)加入到參數辨識中,出一種以靈敏度分析為前提的同步發(fā)電機參數辨識方案,將辨識算法應用于Simulink仿真結果的辨識,并在PMU實測數據的環(huán)境下對辨識算法進行驗證,取得了良好的辨識效果,證明方案具有實用性。本文介紹了同步發(fā)電機的基本方程和在此基礎上推導出的幾種實用模型,根據需要選定六階同步發(fā)電機實用模型為參數辨識模型,并對六階實用模型進行了可辨識性分析。簡述了辨識的概念及同步發(fā)電機參數辨識的特點,介紹了同步發(fā)電機辨識的基本流程,并對辨識過程中用到的微分方程的數值解法和優(yōu)化算法進行了敘述。簡單了解幾種靈敏度分析辦法,選定軌跡靈敏度法作為同步發(fā)電機靈敏度分析的工具,對軌跡靈敏度法的分類和計算方法進行了敘述,最終確定選用攝動法計算同步發(fā)電機參數的靈敏度。利用Simulink建立仿真模型,得出在勵磁電壓發(fā)生擾動時同步發(fā)電機軌跡靈敏度的大小,分析了擾動大小和擾動時長對軌跡靈敏度大小的影響,根據各參數靈敏度的表現(xiàn)確定了發(fā)電機參數辨識方案。以MATLAB為工具搭建仿真平臺模擬多種擾動下同步發(fā)電機的行為,利用基于靈敏度分析的參數辨識方案對模擬結果進行辨識,基于辨識結果對辨識方案進行可行性和通用性地分析。在搭建的仿真平臺下對比了傳統(tǒng)參數辨識方案和基于靈敏度分析的參數辨識方案,對兩種方案的辨識結果進行分析,得出了不同方案的異同之處。簡單介紹了PMU數據及其處理過程,將基于靈敏度分析的參數辨識方案應用于實測數據下且對方案進行了可行性、穩(wěn)定性和精確性地分析。在實測算例下比較了傳統(tǒng)參數辨識方案和基于靈敏度分析參數辨識方案的異同之處,分析兩種方案的計算結果,得到基于靈敏度分析的參數辨識方案目標函數較小,參數辨識結果更加穩(wěn)定,更貼近同步發(fā)電機實際運行行為的實驗結果。
[Abstract]:With the expansion of power grid scale, the security operation of power grid is challenged more and more, and accurate model parameters are the basis of power system operation analysis, simulation and fault diagnosis, which is of great significance to the safe operation of power network. Therefore, fast and accurate obtaining reliable model parameters is the basic problem to ensure the safe operation of power system. As the source of power grid energy, the accuracy of generator parameters has a very important impact on the analysis of power grid operation. In this paper, based on the original parameter identification scheme of synchronous generator, the sensitivity calculation of parameters is added to the parameter identification, and a parameter identification scheme of synchronous generator based on sensitivity analysis is proposed. The identification algorithm is applied to the identification of Simulink simulation results, and the identification algorithm is verified in the environment of PMU measured data. Good identification results are obtained, and the scheme is proved to be practical. In this paper, the basic equation of synchronous generator and several practical models derived from it are introduced. According to the need, the practical model of six-order synchronous generator is selected as the parameter identification model, and the identifiability of the sixth-order practical model is analyzed. This paper briefly introduces the concept of identification and the characteristics of parameter identification of synchronous generator, introduces the basic flow chart of identification of synchronous generator, and describes the numerical solution and optimization algorithm of differential equation used in the process of identification. Several sensitivity analysis methods are simply understood. Trajectory sensitivity method is selected as a tool for sensitivity analysis of synchronous generators, and the classification and calculation method of trajectory sensitivity method are described. Finally, the sensitivity of parameters of synchronous generator is calculated by perturbation method. Based on the simulation model established by Simulink, the trajectory sensitivity of synchronous generator is obtained when the excitation voltage is disturbed, and the influence of the disturbance size and time length on the trajectory sensitivity is analyzed. According to the performance of the sensitivity of each parameter, the parameter identification scheme of the generator is determined. The simulation platform based on MATLAB is used to simulate the behavior of synchronous generators under various disturbances. The simulation results are identified by using the parameter identification scheme based on sensitivity analysis, and the feasibility and generality of the identification schemes are analyzed based on the identification results. Under the simulation platform, the traditional parameter identification scheme and the parameter identification scheme based on sensitivity analysis are compared, and the identification results of the two schemes are analyzed, and the similarities and differences between the two schemes are obtained. The PMU data and its processing process are briefly introduced. The parameter identification scheme based on sensitivity analysis is applied to the measured data and the feasibility, stability and accuracy of the scheme are analyzed. The similarities and differences between the traditional parameter identification scheme and the parameter identification scheme based on sensitivity analysis are compared, and the calculation results of the two schemes are analyzed, and the objective function of the parameter identification scheme based on sensitivity analysis is smaller than that of the traditional parameter identification scheme based on sensitivity analysis. The results of parameter identification are more stable and close to the experimental results of the actual operation behavior of synchronous generators.
【學位授予單位】：青島大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM31

【參考文獻】

相關期刊論文 前10條

1 孟波;孟現(xiàn)嶺;靳玉凱;任兆寅;;靈敏度分析法在靜態(tài)電壓穩(wěn)定中的應用[J];技術與市場;2014年04期

2 鄒建林;安軍;穆鋼;邵廣惠;徐興偉;候凱元;岳涵;;基于軌跡靈敏度的電力系統(tǒng)暫態(tài)穩(wěn)定性定量評估[J];電網技術;2014年03期

3 陳嵐峰;張亞琴;程立英;張志美;;基于數據的MATLAB系統(tǒng)辨識工具箱模型識別[J];沈陽師范大學學報(自然科學版);2013年04期

4 韓睿;鄭競宏;朱守真;盛超;張俊峰;肖先勇;;基于靈敏度分析的同步發(fā)電機參數分步辨識策略[J];電力自動化設備;2012年05期

5 王茂海;齊霞;牛四清;韓福坤;;基于相量測量單元實測數據的變壓器參數在線估計方法[J];電力系統(tǒng)自動化;2011年13期

6 謝會玲;鞠平;羅建裕;寧艷;朱寰;王小英;;基于靈敏度計算的電力系統(tǒng)參數可辨識性分析[J];電力系統(tǒng)自動化;2009年07期

7 孫黎霞;高運華;甄威;劉柏私;吳磊;鞠平;;考慮飽和效應的同步發(fā)電機參數辨識[J];河海大學學報(自然科學版);2008年03期

8 苗峰顯;郭志忠;;靈敏度方法在電力系統(tǒng)分析與控制中的應用綜述[J];繼電器;2007年15期

9 楊小東;董宸;盧文華;文勁宇;;基于遺傳算法的水輪發(fā)電機組調速系統(tǒng)參數辨識[J];繼電器;2006年01期

10 趙淵;周念成;謝開貴;況軍;;大電力系統(tǒng)可靠性評估的靈敏度分析[J];電網技術;2005年24期

相關碩士學位論文 前5條

1 李興;基于靈敏度分析和進化策略法的配電網無功規(guī)劃[D];華北電力大學;2014年

2 韓超先;基于PMU數據的同步發(fā)電機參數辨識[D];青島大學;2012年

3 郭小龍;基于PMU數據的勵磁控制器參數辨識[D];華北電力大學（北京）;2009年

4 喬曉艷;基于WAMS的同步電機參數辨識研究[D];華北電力大學（北京）;2009年

5 黃其新;基于功角測量的同步發(fā)電機參數辨識方法與應用研究[D];河海大學;2007年

，

本文編號：2452222