發(fā)布時間：2018-05-09 10:18

  本文選題：低頻振蕩 + 擾動源定位�。� 參考：《華北電力大學(xué)》2017年碩士論文

【摘要】：隨著電力工業(yè)的迅速發(fā)展,互聯(lián)電網(wǎng)的規(guī)模越來越大,電網(wǎng)動態(tài)穩(wěn)定性問題也日益復(fù)雜,低頻振蕩現(xiàn)象時有發(fā)生,既威脅著電網(wǎng)的安全穩(wěn)定運行,也制約了電網(wǎng)的輸電能力。及時準(zhǔn)確定位低頻振蕩擾動源對于抑制振蕩擴散、防止事故蔓延具有重要意義,為此,本文在前人研究的基礎(chǔ)上,將低頻振蕩發(fā)生時的能量分布特性與電網(wǎng)拓撲結(jié)構(gòu)相結(jié)合,提出了基于網(wǎng)絡(luò)拓撲數(shù)據(jù)的擾動源定位新思路。首先以簡單系統(tǒng)模型為例,對目前成熟的負阻尼機理及強迫振蕩機理進行推導(dǎo);然后以振蕩能量為擾動源定位的依據(jù),通過分析振蕩發(fā)生時的能量分布特性,確定可以將圖論應(yīng)用于研究擾動源定位問題;隨后在割集能量的基礎(chǔ)上,提出了最大振蕩能量流割集的概念,將擾動源定位問題轉(zhuǎn)化為最大振蕩能量流割集的搜索問題。由于電網(wǎng)規(guī)模較大,普通的割集搜索方法難以快速地搜索出最大振蕩能量流割集,故本文提出從以下兩方面提高搜索速度:1、縮小搜索空間;2、提高搜索的有效性。為了縮小搜索空間,本文對振蕩發(fā)生時的能量分布特性進行深入分析,發(fā)現(xiàn)了最大振蕩能量流割集的分布規(guī)律,提出了基于前K最短路徑的擾動源定位方法,將最大振蕩能量流割集的搜索限定在前K最短路徑的搜索結(jié)果中,可以大大縮小搜索空間、提高搜索速度。本文進一步提出了K值選取的校正經(jīng)驗法,使基于前K最短路徑的擾動源定位方法更具有工程實用性。為了提高搜索有效性,本文結(jié)合大規(guī)模網(wǎng)絡(luò)割集搜索問題的特點,對網(wǎng)絡(luò)中的支路進行01編碼,利用遺傳算法引導(dǎo)最大振蕩能量流割集的搜索,并根據(jù)擾動源定位問題的具體情況,提出了通過預(yù)選染色體來加速遺傳進化的措施,形成了基于遺傳算法的擾動源定位方法。以上兩種擾動源定位方法均同時適用于局部及區(qū)間振蕩模式,并且能夠在區(qū)域電網(wǎng)機組實時信息不全的情況下,只利用線路信息實現(xiàn)擾動源的定位。最后,蒙西電網(wǎng)的仿真算例驗證了以上方法的有效性和實用性。
[Abstract]:With the rapid development of power industry, the scale of interconnected power network is becoming larger and larger, the dynamic stability of power network is becoming more and more complex, the phenomenon of low-frequency oscillation occurs frequently, which not only threatens the safe and stable operation of power grid, but also restricts the transmission ability of power grid. It is very important to locate the disturbance source of low-frequency oscillation in time and accurately to restrain the spread of oscillation and prevent the spread of accident. Therefore, based on the previous research, the energy distribution characteristics of low-frequency oscillation are combined with the topology of power network. A new idea of disturbance source location based on network topology data is proposed. Firstly, taking the simple system model as an example, the current mature negative damping mechanism and forced oscillation mechanism are deduced, and then the oscillation energy is used as the basis of the disturbance source location, and the energy distribution characteristics when the oscillation occurs are analyzed. It is determined that the graph theory can be applied to study the problem of disturbance source location, and then the concept of maximum oscillatory energy flow cut set is proposed based on the cut set energy, and the problem of disturbance source location is transformed into the search problem of maximum oscillatory energy flow cut set. Because of the large scale of the power network, it is difficult for the ordinary cut set search method to search the maximum oscillatory energy flow cut-set quickly. Therefore, this paper proposes to improve the search speed from the following two aspects: 1, reduce the search space and improve the efficiency of the search. In order to reduce the search space, this paper analyzes the energy distribution characteristics of oscillations, finds out the distribution law of the cut set of maximum oscillatory energy flow, and proposes a method of source location based on the shortest path of previous K. By limiting the search of the maximum oscillatory energy flow cut set to the search result of the first K shortest path, the search space can be greatly reduced and the search speed can be improved. In this paper, a correction empirical method for the selection of K value is proposed, which makes the disturbance source location method based on the first K shortest path more practical in engineering. In order to improve the efficiency of the search, this paper combines the characteristics of the large-scale network cut set search problem, carries out 01 coding of the branch of the network, and uses genetic algorithm to guide the search of the maximum oscillatory energy flow cut set. According to the specific situation of the problem of perturbed source location, the method of accelerating genetic evolution by pre-selecting chromosomes is put forward, and the method of perturbed source location based on genetic algorithm is formed. The above two methods are suitable for both local and interval oscillation modes, and can only use the line information to realize the location of the disturbance source when the real-time information of the units in the regional power network is not complete. Finally, the effectiveness and practicability of the above methods are verified by a simulation example of Mengxi Power Grid.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM712

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本文編號：1865645