【摘要】：由于化石能源的衰竭與日益嚴(yán)重的環(huán)境問題以及大電網(wǎng)自身存在的缺陷,越來越多的分布式發(fā)電設(shè)備接入電網(wǎng)系統(tǒng)。但是,分布式發(fā)電系統(tǒng)規(guī)模不斷擴(kuò)大,供電系統(tǒng)會(huì)因?yàn)榇箅娋W(wǎng)中斷供電而造成一些嚴(yán)重的問題,如非計(jì)劃孤島運(yùn)行。這種運(yùn)行模式會(huì)對(duì)電力設(shè)備和工作人員造成巨大的危害,因此孤島檢測(cè)研究具有非常重要的意義。本文從孤島檢測(cè)的基本問題,常用孤島檢測(cè)方法的工作原理以及對(duì)其進(jìn)行改進(jìn)的方法展開較為深入的研究。精準(zhǔn)、有效的檢測(cè)和盡量不影響電能質(zhì)量是孤島檢測(cè)方法良好性能的標(biāo)準(zhǔn),本文在分析常用孤島檢測(cè)方法(遠(yuǎn)程孤島檢測(cè)法、被動(dòng)檢測(cè)法、主動(dòng)檢測(cè)法)的基礎(chǔ)上,找到它們各自優(yōu)缺點(diǎn)以及適用的情況。針對(duì)常用檢測(cè)方法的不足,提出一種復(fù)合型正反饋孤島檢測(cè)方法。該方法在電壓值和頻率兩個(gè)參數(shù)中加入不同的正反饋控制算法,避免單一參數(shù)檢測(cè)而造成的檢測(cè)失敗。同時(shí),該方法以電壓d軸分量和頻率的變化量為控制擾動(dòng)量,降低了正反饋控制對(duì)正常電能質(zhì)量的影響。該方法能夠提高檢測(cè)精度,又能降低對(duì)電能質(zhì)量的影響。本文針對(duì)并網(wǎng)逆變器控制模型展開研究,本系統(tǒng)采用雙環(huán)控制,設(shè)計(jì)了電壓環(huán)和電流環(huán)PI調(diào)節(jié)器。在Matlab/Simulink環(huán)境中構(gòu)建仿真模型,并通過仿真驗(yàn)證了所提出檢測(cè)方法的有效性和合理性。本文最后使用三相并網(wǎng)逆變器作為檢測(cè)系統(tǒng)的實(shí)驗(yàn)平臺(tái),對(duì)孤島檢測(cè)進(jìn)行實(shí)驗(yàn)研究,并進(jìn)行硬件以及軟件設(shè)計(jì)。硬件設(shè)計(jì)包括LCL并網(wǎng)濾波器參數(shù)設(shè)計(jì)、直流側(cè)濾波電容和功率開關(guān)管的選取、驅(qū)動(dòng)電流、控制電路以及交流電壓電流采樣電路、過流保護(hù)電路等;軟件設(shè)計(jì)為復(fù)合型正反饋檢測(cè)算法的實(shí)現(xiàn)。通過對(duì)實(shí)驗(yàn)結(jié)果的分析,驗(yàn)證了參數(shù)選擇的合理性以及所提檢測(cè)方案的有效性。
[Abstract]:Due to the depletion of fossil energy and the increasingly serious environmental problems as well as the shortcomings of large power grid, more and more distributed generation equipment is connected to the power grid system. However, the scale of distributed generation system is increasing, and the power supply system will cause some serious problems due to the interruption of power supply in large power grid, such as unplanned islanding operation. This operation mode will cause great harm to power equipment and staff, so the study of islanding detection is of great significance. In this paper, the basic problems of islanding detection, the working principle of the commonly used islanding detection methods and the improved methods are studied deeply. Accurate, effective detection and as far as possible do not affect the quality of power are the good performance of islanding detection methods, based on the analysis of common islanding detection methods (remote islanding detection, passive detection, active detection), Find out their respective strengths and weaknesses as well as the applicable situation. A compound positive feedback islanding detection method is proposed to overcome the shortcomings of common detection methods. In this method, different positive feedback control algorithms are added to the voltage and frequency parameters to avoid the detection failure caused by single parameter detection. At the same time, the influence of positive feedback control on normal power quality is reduced by taking the variation of voltage d axis component and frequency as the control disturbance. This method can improve the detection accuracy and reduce the influence on power quality. In this paper, the control model of grid-connected inverter is studied. The voltage loop and current loop Pi regulator are designed. The simulation model is constructed in Matlab/Simulink environment, and the validity and rationality of the proposed detection method are verified by simulation. In the end of this paper, three-phase grid-connected inverter is used as the experimental platform of the detection system, the detection of isolated islands is studied experimentally, and the hardware and software are designed. The hardware design includes the parameter design of LCL grid-connected filter, the selection of DC side filter capacitance and power switch, driving current, control circuit, AC voltage and current sampling circuit, over-current protection circuit and so on. The software is designed for the realization of compound positive feedback detection algorithm. Through the analysis of the experimental results, the rationality of the parameter selection and the validity of the proposed detection scheme are verified.
【學(xué)位授予單位】：江蘇大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM73

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本文編號(hào)：2190996