【摘要】：隨著電力電子技術(shù)的發(fā)展,越來越多的非線性負(fù)荷接入配電網(wǎng),給電網(wǎng)注入大量的諧波,引起電能質(zhì)量惡化。為保證供電質(zhì)量的治理有據(jù)可依,必須對配電網(wǎng)中各諧波源的諧波責(zé)任進(jìn)行合理地定量劃分。在實際電網(wǎng)中,存在系統(tǒng)諧波波動、系統(tǒng)諧波阻抗改變、用戶諧波阻抗改變等參數(shù)時變工況,導(dǎo)致傳統(tǒng)的諧波責(zé)任劃分方法無法滿足計算準(zhǔn)確度的要求,因此需要開展時變參數(shù)條件下的配電網(wǎng)諧波責(zé)任劃分研究。本文研究了上述三種工況下的諧波責(zé)任定量劃分方法。將主導(dǎo)波動量法和分位數(shù)回歸法結(jié)合的方法用于劃分系統(tǒng)諧波波動情況下諧波源的諧波責(zé)任。首先采用主導(dǎo)波動量法,篩選用戶主導(dǎo)的波動量樣本,消除系統(tǒng)諧波波動帶來的影響,準(zhǔn)確地估計系統(tǒng)諧波阻抗;在此基礎(chǔ)上,將諧波責(zé)任劃分問題轉(zhuǎn)化為回歸方程截距的求取問題,采用分位數(shù)回歸法實現(xiàn)了系統(tǒng)諧波波動情況下諧波責(zé)任的準(zhǔn)確劃分,該方法穩(wěn)健性強(qiáng),并充分利用了系統(tǒng)諧波電流的波動規(guī)律。通過在IEEE 13節(jié)點(diǎn)系統(tǒng)中的仿真分析,驗證了主導(dǎo)波動量法和分位數(shù)回歸法結(jié)合的方法在系統(tǒng)諧波波動的工況下具有準(zhǔn)確性高和適應(yīng)性強(qiáng)的優(yōu)點(diǎn)。將小波變換模極大值法和穩(wěn)健整體最小二乘回歸法結(jié)合的方法用于劃分系統(tǒng)諧波阻抗改變情況下諧波源的諧波責(zé)任。首先對諧波電壓和諧波電流測量數(shù)據(jù)進(jìn)行加窗簡化處理,得到系統(tǒng)諧波阻抗的粗略估值,利用小波變換模極大值法檢測出系統(tǒng)諧波阻抗發(fā)生改變的時間,以此對測量數(shù)據(jù)進(jìn)行分段處理;在此基礎(chǔ)上,對每一段的數(shù)據(jù)采用穩(wěn)健整體最小二乘回歸對系統(tǒng)諧波阻抗進(jìn)行精確估計,進(jìn)而求得每段的諧波責(zé)任。最后,采用文中所定義的總諧波責(zé)任指標(biāo)來定量評估諧波源的諧波責(zé)任。分別在三饋線系統(tǒng)和IEEE 13節(jié)點(diǎn)系統(tǒng)中進(jìn)行仿真分析,驗證了小波變換模極大值法和穩(wěn)健整體最小二乘回歸法結(jié)合的方法在系統(tǒng)諧波阻抗改變情況下的有效性和準(zhǔn)確性。將變系數(shù)回歸法用于劃分用戶諧波阻抗改變情況下諧波源的諧波責(zé)任。首先建立諧波電壓和諧波電流的時變關(guān)系模型,再利用變系數(shù)回歸法計算模型的回歸系數(shù),根據(jù)回歸系數(shù)形成系統(tǒng)諧波阻抗向量,并以此計算各諧波源的總諧波責(zé)任。在IEEE 13節(jié)點(diǎn)系統(tǒng)中進(jìn)行仿真分析,驗證了變系數(shù)回歸法在用戶諧波阻抗改變情況下能夠準(zhǔn)確地估計系統(tǒng)諧波阻抗和諧波責(zé)任,并能有效地跟蹤諧波阻抗的變化規(guī)律。論文所做的理論研究和仿真結(jié)果表明:本文提出的三種方法分別適用于系統(tǒng)諧波波動、系統(tǒng)諧波阻抗改變、用戶諧波阻抗改變?nèi)N實際工況下的諧波責(zé)任定量劃分,計算結(jié)果更貼近于理論值,能為未來諧波監(jiān)督和諧波治理提供重要的理論依據(jù)。
[Abstract]:With the development of power electronics technology, more and more nonlinear loads are connected to the distribution network, and a large number of harmonics are injected into the power network, which results in the deterioration of power quality. In order to ensure the management of power supply quality can be relied on, it is necessary to reasonably and quantitatively divide the harmonic responsibility of each harmonic source in the distribution network. In the actual power network, there are system harmonic fluctuations, system harmonic impedance changes, user harmonic impedance changes and other parameters of time-varying operating conditions, resulting in the traditional harmonic responsibility division method can not meet the calculation accuracy requirements. Therefore, it is necessary to carry out the research on the distribution network harmonic responsibility division under the condition of time-varying parameters. In this paper, the method of quantitative division of harmonic responsibility under the above three working conditions is studied. The dominant volatility method and the quantile regression method are combined to divide the harmonic responsibility of the harmonic source in the case of harmonic fluctuation of the system. Firstly, the dominant fluctuation method is used to screen the sample of the user-led fluctuation, to eliminate the influence of the harmonic fluctuation of the system, and to estimate the harmonic impedance of the system accurately. The problem of harmonic responsibility division is transformed into the problem of obtaining the intercept of regression equation. The quantile regression method is used to realize the accurate division of harmonic responsibility in the case of harmonic fluctuation of the system. The method is robust. And make full use of the system harmonic current fluctuation law. Through simulation analysis in IEEE 13-bus system, it is verified that the combination of dominant volatility method and quantile regression method has the advantages of high accuracy and strong adaptability under the condition of harmonic fluctuation of the system. The wavelet transform modulus maximum method and the robust global least square regression method are combined to divide the harmonic responsibility of the harmonic source when the harmonic impedance of the system changes. Firstly, the harmonic voltage and harmonic current measurement data are processed by windowing, and the rough estimation of the harmonic impedance is obtained, and the time when the harmonic impedance changes is detected by the wavelet transform modulus maximum method. On the basis of this, the harmonic impedance of the system is estimated by robust global least square regression, and the harmonic responsibility of each section is obtained. Finally, the total harmonic liability index defined in this paper is used to quantitatively evaluate the harmonic responsibility of harmonic sources. The simulation analysis is carried out in the triple-fed system and the IEEE 13-bus system respectively, and the validity and accuracy of the wavelet transform modulus maximum method and the robust global least square regression method in the case of harmonic impedance change are verified. The variable coefficient regression method is used to divide the harmonic responsibility of the harmonic source when the user's harmonic impedance changes. First, the time-varying relation model of harmonic voltage and harmonic current is established, then the regression coefficient of the model is calculated by using the variable coefficient regression method, and the harmonic impedance vector of the system is formed according to the regression coefficient, and the total harmonic responsibility of each harmonic source is calculated. The simulation analysis in IEEE 13-bus system verifies that the variable coefficient regression method can accurately estimate the harmonic impedance and harmonic responsibility of the system when the user's harmonic impedance changes, and can effectively track the variation rule of harmonic impedance. The theoretical research and simulation results show that the three methods proposed in this paper are suitable for the quantitative division of harmonic responsibility under three actual operating conditions, namely, the harmonic fluctuation of the system, the change of the harmonic impedance of the system, and the change of the harmonic impedance of the user. The calculated results are closer to the theoretical values and can provide an important theoretical basis for harmonic supervision and harmonic control in the future.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM711

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