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基于諧波狀態(tài)估計(jì)的諧波源辨識(shí)方法研究

發(fā)布時(shí)間:2018-03-09 17:38

  本文選題:諧波污染 切入點(diǎn):諧波狀態(tài)估計(jì) 出處:《濟(jì)南大學(xué)》2015年碩士論文 論文類(lèi)型:學(xué)位論文


【摘要】:電能質(zhì)量對(duì)于全社會(huì)具有非常重要的意義,抑制諧波,保證電能質(zhì)量越來(lái)越重要。諧波不僅影響電網(wǎng)的供電質(zhì)量,還對(duì)用戶(hù)的安全構(gòu)成威脅,所以辨別諧波源成為比較重要的問(wèn)題。要進(jìn)行諧波狀態(tài)估計(jì)計(jì)算,如何對(duì)其進(jìn)行建模計(jì)算是關(guān)鍵。本文首先介紹電力系統(tǒng)的相關(guān)基礎(chǔ)知識(shí),了解電網(wǎng)的組成,解釋了電網(wǎng)中諧波狀態(tài)方程的建立過(guò)程,利用相量量測(cè),得到測(cè)量數(shù)據(jù)并根據(jù)誤差進(jìn)行數(shù)據(jù)進(jìn)行篩選。在已知網(wǎng)絡(luò)結(jié)構(gòu)參數(shù)以及線(xiàn)路拓?fù)浣Y(jié)構(gòu)的條件下,以諧波電流為狀態(tài)量,諧波電壓為量測(cè)量列相關(guān)節(jié)點(diǎn)的電壓方程、注入電流方程,并優(yōu)化算法進(jìn)行求解。根據(jù)負(fù)載節(jié)點(diǎn)是否可疑,可疑節(jié)點(diǎn)是否被量測(cè),舍去不用考慮的狀態(tài)量,并用已知的量測(cè)量和電網(wǎng)參數(shù)表示,簡(jiǎn)化方程。然后將相量方程化為實(shí)部和虛部?jī)山M方程,加快運(yùn)算速度,最后求出諧波估計(jì)值。并用IEEE-14網(wǎng)絡(luò)進(jìn)行計(jì)算仿真。根據(jù)諧波狀態(tài)估計(jì)的估計(jì)值對(duì)負(fù)載進(jìn)行諧波源辨識(shí),文中研究常用的幾種辨識(shí)諧波源的方法,如諧波功率方向法、辨識(shí)負(fù)荷參數(shù)法。分析了注入諧波有功和注入諧波無(wú)功的優(yōu)缺點(diǎn),在此基礎(chǔ)上本文結(jié)合非線(xiàn)性負(fù)載阻抗虛部與注入諧波有功功率、無(wú)功功率的符號(hào)關(guān)系改進(jìn)了基于諧波狀態(tài)估計(jì)的諧波源辨識(shí)法,相比諧波有功功率方向的辨識(shí)法,準(zhǔn)確性有所提高且計(jì)算簡(jiǎn)便。辨識(shí)得到諧波源之后,就需要考慮劃分用戶(hù)側(cè)與電網(wǎng)側(cè)的污染責(zé)任的問(wèn)題,文章后一部分簡(jiǎn)要介紹了劃分諧波責(zé)任指標(biāo)的改進(jìn)過(guò)程,從單個(gè)諧波源情況拓展到多個(gè)諧波源情況,并對(duì)不同連接情況的電路進(jìn)行仿真計(jì)算,最后結(jié)合計(jì)算實(shí)例對(duì)劃分諧波的污染責(zé)任指標(biāo)給出了基本要求。
[Abstract]:Power quality has a very important significance for the whole society to suppress the harmonic and guarantee the power quality becomes more and more important. The harmonic not only affects the quality of power supply, but also pose a threat to safety of users, so identifying harmonic sources become relatively important. To carry out harmonic state estimation, how to carry on the modeling calculation is the key this paper firstly introduces basic knowledge of power system, understand the grid composition, explains the process of establishing the state equation of harmonic in power system, the use of phasor measurement, and the data were screened according to the measured data. The error in the known network structure parameters and circuit topology conditions, the harmonic current as state variables, harmonic voltage measurement for the voltage equation of column related nodes, injection current equations, and solved optimization algorithm. According to the load node is suspicious, suspicious node is The measurement, without truncation of state variables are considered, and the measurement and the grid parameters known that simplified equation. Then the phasor equation into real and imaginary parts of the two equations, accelerate the speed of operation, and finally calculate the harmonic estimation value. And simulation with the IEEE-14 network. The harmonic source identification of load according to the estimation of harmonic state estimation value, study some methods commonly used in the identification of harmonic sources, such as harmonic power direction method, parameter identification of load method. Analyze the advantages and disadvantages of reactive power and harmonic active harmonic injection injection, on the basis of the combination of nonlinear load and imaginary impedance and injected harmonic active power, symbolic relations the reactive power of the improved harmonic source identification method based on harmonic state estimation, identification method compared with the harmonic active power direction, the accuracy is improved and the calculation is simple. After the identification of harmonic source, you need to test The problem about pollution liability division of user side and grid side, this part briefly introduces the improvement process of dividing the harmonic responsibility index, expanding from a single harmonic source to multiple harmonic sources, and the different circuit connection was calculated, finally gives the harmonic pollution to the division of responsibility index calculation the basic requirements.

【學(xué)位授予單位】:濟(jì)南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類(lèi)號(hào)】:TM711

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