本文選題：孤島檢測　切入點(diǎn)：盲區(qū)分布　出處：《新疆大學(xué)》2017年碩士論文

【摘要】：從工業(yè)革命到現(xiàn)在,由于傳統(tǒng)化石燃料越來越少和環(huán)境問題越發(fā)嚴(yán)峻的雙重問題,人類加大了對風(fēng)能、太陽能等清潔能源的利用,分布式發(fā)電(generation ddistribute,DG)革新研究工作在當(dāng)今供電領(lǐng)域中占據(jù)了一定的地位。孤島現(xiàn)象是指當(dāng)主電網(wǎng)出現(xiàn)故障或人設(shè)關(guān)斷進(jìn)行檢修而處于失電情況下,分布式發(fā)電系統(tǒng)沒有對主電網(wǎng)斷開做出響應(yīng),仍持續(xù)給予本地負(fù)載進(jìn)行供電形成一種孤立狀態(tài),孤島發(fā)生意味著對公共配電網(wǎng)和人員等形成安全危機(jī),即反孤島檢測算法的設(shè)計(jì)和反孤島裝置的裝配是發(fā)電系統(tǒng)實(shí)際供電必備的。首先依次分別闡述孤島效應(yīng)和對應(yīng)的處理手段產(chǎn)生的具體背景、近況和算法優(yōu)化的實(shí)際價(jià)值,從發(fā)生機(jī)理角度出發(fā)簡述了海內(nèi)外關(guān)于不同算法的檢測性能評判指標(biāo),對現(xiàn)階段運(yùn)用十分普及的各類檢測手段都做了優(yōu)缺點(diǎn)分析并給出了亟待提高的對應(yīng)參量指標(biāo)。給出了孤島檢測盲區(qū)(etection-NonZoneD,NDZ)在不同評判坐標(biāo)系下的區(qū)域分布圖,并在normf0CQ?坐標(biāo)系下對AFD、AFDPF在孤島發(fā)生時(shí)的檢測時(shí)間、檢測成功率和漏檢情況進(jìn)行了指標(biāo)定性和定量對比。針對各孤島檢測算法在檢測速度、檢測成功率、檢測盲區(qū)和諧波畸變率存在固有矛盾,參數(shù)選取上難以單向統(tǒng)一。提出一種新型的智能盲區(qū)規(guī)避孤島檢測法(IAFDPF),在對負(fù)載進(jìn)行鑒相識別的基礎(chǔ)上定向變化初始斬波因子方向,并跟隨實(shí)時(shí)檢測頻率動(dòng)態(tài)調(diào)整盲區(qū)分布。通過ULINKMATLAB/SIM軟件模擬了簡易的協(xié)同并網(wǎng)供電模型,通過定時(shí)給予BREAK開關(guān)設(shè)置故障模式。對改進(jìn)的智能孤島檢測算法(IAFDPF)和AFD以及AFDPF檢測算法進(jìn)行各個(gè)評判指標(biāo)的對比。仿真結(jié)果表明:改進(jìn)的智能算法(IAFDPF)能夠較大降低孤島檢測盲區(qū),且能實(shí)現(xiàn)品質(zhì)因素5.20fQ(27)情況下的無盲區(qū)檢測,并根據(jù)負(fù)載特性智能改變盲區(qū)分布特征。從理論上實(shí)現(xiàn)了檢測速度、檢測成功率、諧波畸變率和檢測盲區(qū)的協(xié)調(diào)統(tǒng)一,為孤島檢測系統(tǒng)實(shí)物設(shè)計(jì)和改進(jìn)提供參考價(jià)值。
[Abstract]:Since the industrial revolution, due to the dual problems of less and less fossil fuels and more serious environmental problems, mankind has increased its use of clean energy such as wind energy and solar energy. The research of distributed generation DGG (distributed generation DGG) innovation has occupied a certain position in the field of power supply nowadays. The phenomenon of isolated island is that when the main power network is out of order or when the main power network is shut down and overhauled, it is in the situation of power loss. The distributed generation system does not respond to the disconnection of the main power grid and continues to supply the local load in an isolated state. The occurrence of the isolated island means a security crisis for the public distribution network and the personnel, etc. That is, the design of anti-islanding detection algorithm and the assembly of anti-islanding device are necessary for the actual power supply of power generation system. Firstly, the background of islanding effect and the corresponding processing means, the recent situation and the practical value of algorithm optimization are expounded respectively. From the point of view of occurrence mechanism, the detection performance evaluation indexes of different algorithms at home and abroad are briefly described. The advantages and disadvantages of all kinds of detection methods which are very popular at present are analyzed and the corresponding parameter indexes that need to be improved are given. The regional distribution map of the blind area of isolated island detection in different judgement coordinates is given, and the map is given in normf0CQ? In the coordinate system, the detection time, detection success rate and missed detection rate of AFDF are compared qualitatively and quantitatively in terms of the detection speed and detection success rate of each islanding detection algorithm. There are inherent contradictions between blind area detection and harmonic distortion rate, and the selection of parameters is difficult to be unified.A new intelligent blind zone detection method for avoiding isolated island is proposed, which changes the direction of initial chopper factor on the basis of phase identification of load. The blind area distribution is dynamically adjusted with the real-time detection frequency. A simple cooperative grid-connected power supply model is simulated by ULINKMATLAB/SIM software. The fault mode of BREAK switch is set by timing. The comparison between the improved intelligent islanding detection algorithm (IIAFDPF), AFD and AFDPF detection algorithm is made. The simulation results show that the improved intelligent algorithm can be reduced greatly. Low isolated island detection blind area, And can realize the blind area detection under the condition of the quality factor 5.20fQQ27), and change the blind area distribution characteristic intelligently according to the load characteristic. Theoretically, the detection speed, the detection success rate, the harmonic distortion rate and the detection blind area are coordinated and unified. It provides reference value for the physical design and improvement of islanding detection system.
【學(xué)位授予單位】：新疆大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM615;TM464

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