本文選題：短路電流 + 相控分斷　； 參考：《華中科技大學》2015年碩士論文

【摘要】：目前電力系統(tǒng)正向高壓、聯(lián)網(wǎng)、大容量方向發(fā)展,線路的短路電流也逐漸增大。因此,現(xiàn)有斷路器已不能滿足系統(tǒng)的開斷需要,調(diào)整電網(wǎng)結(jié)構(gòu)、發(fā)展限流裝置等傳統(tǒng)抑制措施會對系統(tǒng)規(guī)格及穩(wěn)定性造成負面影響。而短路故障電流相控分斷技術(shù)不僅可以減小觸頭燒蝕,延長設(shè)備電壽命,同時也可以提高現(xiàn)有斷路器的短路開斷水平,已經(jīng)成為智能化開關(guān)電器的研究熱點之一�？焖�、準確的還原短路電流波形,預(yù)測目標零點是實現(xiàn)短路故障電流相控分斷技術(shù)的基礎(chǔ)和難點。本文分析了現(xiàn)有預(yù)測算法的利弊,首次提出Prony算法在該領(lǐng)域的應(yīng)用可行性。深入研究后指出了Prony算法的應(yīng)用缺陷,并提出了一種更加穩(wěn)定的類-Prony算法,通過過程優(yōu)化,增強了算法的應(yīng)用穩(wěn)定性。最后結(jié)合Matlab中的算例檢驗結(jié)果,分析了采樣頻率、波長等因素對類-Prony算法的精度影響,形成了五種預(yù)測算法的綜合對比結(jié)果。本文首先利用低壓模擬短路故障的電流錄波數(shù)據(jù),對Prony算法及類-Prony算法的還原效果進行了對比。并通過多組數(shù)據(jù)處理結(jié)果的統(tǒng)計分析,得到類-Prony算法實際應(yīng)用時可能的誤差分布。最后結(jié)合三組實際電力系統(tǒng)短路故障錄波數(shù)據(jù),對本文類-Prony算法進行了進一步的零點預(yù)測效果檢驗。兩種錄波數(shù)據(jù)處理結(jié)果均顯示該算法可以高精度地還原短路電流,零點預(yù)測誤差滿足要求。本文最后設(shè)計了可用于相控開關(guān)的控制裝置,將常規(guī)設(shè)備選相策略與短路故障策略進行整合,應(yīng)用更加靈活。并基于該裝置的核心芯片,對類-Prony算法的執(zhí)行時間進行了硬件檢測:1kHz采樣率下,算法可以在1ms內(nèi)完成零點預(yù)測。同時,考慮到硬件求解精度的影響,本文算法在實際DSP芯片中的還原預(yù)測結(jié)果也通過算例得到了驗證。
[Abstract]:At present, the power system is developing in the direction of high voltage, interconnection and large capacity, and the short-circuit current of the line is increasing gradually. Therefore, the existing circuit breakers can not meet the needs of the system, adjusting the power network structure, developing current limiting devices and other traditional suppression measures will have a negative impact on the system specifications and stability. The short-circuit fault current-controlled breaking technology can not only reduce the ablation of the contact, prolong the electrical life of the equipment, but also improve the short-circuit level of the circuit breaker, which has become one of the research hotspots of intelligent switchgear. Fast and accurate reduction of short circuit current waveform and prediction of target zero are the foundation and difficulty of short circuit fault current phase controlled breaking technology. In this paper, the advantages and disadvantages of existing prediction algorithms are analyzed, and the feasibility of Prony algorithm in this field is put forward for the first time. After in-depth research, the application defects of Prony algorithm are pointed out, and a more stable class of -Prony algorithm is proposed. The stability of the algorithm is enhanced by process optimization. Finally, the influence of sampling frequency and wavelength on the precision of the class-Prony algorithm is analyzed with the example of Matlab, and the comprehensive comparison results of the five prediction algorithms are formed. In this paper, the reduction effect of the Prony algorithm and the similar -Prony algorithm are compared by using the current recording data of the low-voltage analog short-circuit fault. Through the statistical analysis of the results of multi-group data processing, the possible error distribution of the class -Prony algorithm is obtained when it is applied in practice. Finally, combined with three sets of actual power system short-circuit fault recording data, the paper makes a further zero-point prediction effect test for the class -Prony algorithm in this paper. The results of two recorded data processing show that the algorithm can restore the short-circuit current with high accuracy and the zero prediction error can meet the requirement. In the end, the paper designs a control device which can be used in the phase control switch. The conventional equipment phase selection strategy and the short circuit fault strategy are integrated, and the application is more flexible. Based on the core chip of the device, the execution time of the class -Prony algorithm is detected by hardware at the sampling rate of 1 kHz. The algorithm can achieve zero prediction in 1ms. At the same time, considering the effect of hardware solution accuracy, the algorithm in the actual DSP chip restore prediction results are also verified by an example.
【學位授予單位】：華中科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TM713

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