本文選題：孤島檢測 + 移頻式孤島檢測算法　； 參考：《東北大學》2014年碩士論文

【摘要】：近年來隨著分布式發(fā)電技術(Distributed Generation-DG)的迅速發(fā)展,越來越多的分布式電源被接入電網(wǎng),微電網(wǎng)以其智能、靈活的控制特點,不僅解決了DG大規(guī)模并網(wǎng)的問題,提高了供電可靠性和能源綜合利用率,而且滿足了負荷增長需求,符合電力可持續(xù)發(fā)展的趨勢。無論微電網(wǎng)處于非計劃孤島狀態(tài)還是計劃孤島狀態(tài),成功檢測出孤島是前提條件,因此孤島檢測技術的研究具有非常重要的現(xiàn)實意義。論文正是在這樣的背景下圍繞以下幾方面展開孤島檢測技術的研究。(1)在研究微電網(wǎng)孤島特性和相關孤島檢測技術的基礎上,得出孤島系統(tǒng)有功平衡、負載諧振頻率等于電網(wǎng)頻率以及Q,=2.5為最嚴重孤島的結論。(2)對現(xiàn)有孤島檢測方法進行系統(tǒng)分類,著重研究一些典型方法,對比分析了各自的優(yōu)缺點。深入研究移頻式孤島檢測方法的原理,指出移頻式孤島檢測失敗的根本原因是檢測算法產(chǎn)生的頻率偏移被負載阻抗角抵消。(3)檢測盲區(qū)是評估孤島檢測方法的重要指標,針對現(xiàn)有檢測盲區(qū)描述空間的不足,論文引用了一種新的空間坐標系Qfg×Cnorm,并在該坐標系下研究了滑膜頻率偏移法(SMS)、主動頻率偏移法(AFD)、帶正反饋主動頻率偏移法(AFDPF)的盲區(qū)分布圖,并以AFD和AFDPF的盲區(qū)分布圖為例,通過仿真驗證了在該坐標系下盲區(qū)范圍的準確性。針對現(xiàn)有移頻式孤島檢測方法的缺陷,論文提出了優(yōu)化AFDPF算法,并對其進行了仿真研究。(4)引入諧波電流大小是孤島檢測方法有效性評估的另一重要指標,論文研究了AFD和優(yōu)化AFDPF對電能質量的影響,分析了移頻式孤島檢測算法中的參數(shù)與引入電流畸變率增量ATHD之間的關系。針對電網(wǎng)正常頻率波動,導致算法引入的ATHD增加,論文提出了一種改進的低畸變率移頻式孤島檢測算法,并通過仿真對比驗證了改進算法的優(yōu)越性。(5)為了研究在多逆變器并聯(lián)運行情況下,各逆變器檢測性能之間的相互影響,本文首次在Qfg×Cnorm坐標系下研究了被動式孤島檢測法和移頻式孤島檢測法檢測性能之間的稀釋作用,同時研究了頻率偏差△f的檢測誤差對孤島檢測性能的影響,并通過Matlab/Simulink軟件搭建的仿真模型進行了理論驗證。
[Abstract]:In recent years, with the rapid development of distributed Generation Technology (DG), more and more distributed power sources are connected to the power grid. Microgrid, with its intelligent and flexible control characteristics, not only solves the problem of large-scale DG grid connection. The reliability of power supply and the comprehensive utilization rate of energy are improved, and the demand of load increase is satisfied, which is in line with the trend of sustainable development of electric power. Whether the microgrid is in the state of unplanned islanding or planned islanding, the successful detection of islanding is a prerequisite, so the research of islanding detection technology is of great practical significance. On the basis of studying the characteristics of islanding and the related islanding detection technology in microgrid, the active power balance of islanding system is obtained. The conclusion that the load resonance frequency equals the power grid frequency and the conclusion that QT 2.5 is the most serious isolated island is a systematic classification of the existing islanding detection methods. Some typical methods are emphatically studied and their advantages and disadvantages are compared and analyzed. The principle of frequency-shifted island detection method is deeply studied. It is pointed out that the fundamental reason of the detection failure is that the frequency offset generated by the detection algorithm is offset by the load impedance angle, and the blind area is an important index to evaluate the detection method of the isolated island. In this paper, a new spatial coordinate system, Qfg 脳 Cnormn, is used to study the blind area distribution of synovium frequency migration method, active frequency migration method, and active frequency migration method with positive feedback, aiming at the shortcomings of the existing detection blind area description space, in which a new spatial coordinate system Qfg 脳 Cnormnormal is used to study the blind area distribution of the synovial frequency migration method, the active frequency migration method and the active frequency migration method with positive feedback. The blind area distribution of AFD and AFDPF is taken as an example, and the accuracy of the blind area in the coordinate system is verified by simulation. Aiming at the defects of the existing detection methods of isolated island with frequency shift, this paper proposes an optimized AFDPF algorithm, and makes a simulation study on it. The introduction of harmonic current is another important index to evaluate the effectiveness of the islanding detection method. In this paper, the influence of AFD and AFDPF on power quality is studied, and the relationship between the parameters in the frequency-shifted islanding detection algorithm and the introduction of current distortion rate increment ATHD is analyzed. Aiming at the increase of ATHD caused by the normal frequency fluctuation of power system, an improved low distortion rate frequency shift isolated island detection algorithm is proposed in this paper. The superiority of the improved algorithm is verified by simulation. In order to study the interaction between the detection performance of the multi-inverter parallel operation, In this paper, the dilution effect between passive islanding detection method and frequency-shifted islanding detection method is studied for the first time in Qfg 脳 Cnorm coordinate system, and the influence of detection error of frequency deviation f on the detection performance of isolated island detection is also studied. The simulation model built by Matlab / Simulink software is used to verify the theory.
【學位授予單位】：東北大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM727

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