本文選題：電動汽車 + 風(fēng)力發(fā)電�。� 參考：《山東大學(xué)》2017年碩士論文

【摘要】：隨著國家十三五規(guī)劃的持續(xù)推進,我國經(jīng)濟高速發(fā)展,社會不斷進步,科技水平日益昌盛。在這樣繁榮的大環(huán)境下,人民的生產(chǎn)和生活方式也日新月異,導(dǎo)致人們生產(chǎn)活動與生活對資源以及能源的需求也在持續(xù)增加,也就給生態(tài)和生活環(huán)境造成了巨大壓力。與此同時全球能源危機和環(huán)境問題的日益突出,因此更加凸顯了我國可持續(xù)發(fā)展戰(zhàn)略的重要性。風(fēng)力發(fā)電等新能源開始投入運用并普及,電動汽車等新型交通工具走進千家萬戶。與傳統(tǒng)能源相比,可再生能源出力的隨機性和間歇性增加對電網(wǎng)的穩(wěn)定性和可靠性等方面帶來了新的挑戰(zhàn),同時電動汽車負(fù)荷也使得電網(wǎng)可靠性承受更大的負(fù)擔(dān)。因此,不僅要對有電動汽車接入的傳統(tǒng)電網(wǎng)進行可靠性評估,也要進一步研究風(fēng)電場對含電動汽車充電負(fù)荷的電力系統(tǒng)可靠性的貢獻。本文首先建立起電動汽車的充電負(fù)荷模型�？紤]電動汽車充電的幾種影響因素,利用統(tǒng)計學(xué)原理,擬合得到電動汽車開始補充電能的時刻的概率密度曲線,運動距離的概率密度曲線。根據(jù)電動汽車電池的充電特性,以及汽車的行駛特點求,采用蒙特卡洛模擬法計算和繪制出電動汽車充電功率曲線。從而了解充電負(fù)荷的基本特點以及對系統(tǒng)的影響。介紹了幾種風(fēng)速模型以及風(fēng)力發(fā)電機的基本原理,根據(jù)實際測量的全年風(fēng)速數(shù)據(jù),結(jié)合風(fēng)電機的出力特性,計算并建立了風(fēng)電機組的出力模型。以IEEE-RTS79測試系統(tǒng)為平臺,建立起含風(fēng)力發(fā)電場和電動汽車負(fù)荷的電力系統(tǒng)可靠性模型。采用基于序貫抽樣原理的蒙特卡洛模擬法,對電動汽車負(fù)荷接入的電力系統(tǒng)可靠水平進行計算,并分別考察了,電動汽車,風(fēng)力發(fā)電以及二者同時存在的情況下對電力系統(tǒng)可靠性的影響。定義了一種基于電動汽車負(fù)荷的風(fēng)力發(fā)電有效載荷能力,考察同一可靠性水平下,風(fēng)電場裝機容量和電動汽車充電負(fù)荷的匹配情況。為了充分發(fā)揮風(fēng)力發(fā)電的作用,保證電力系統(tǒng)可靠性的基礎(chǔ)上,進一步提升基于電動汽車負(fù)荷的載荷能力。在電動汽車技術(shù)不斷進步并投入使用的背景下引入了 V2G(vehicles-to-grid)技術(shù)的概念以及V2G管理系統(tǒng)。概括并闡述了 V2G技術(shù)的基本原理,在V2G模式的基礎(chǔ)上,闡明對電動汽車充電行為進行控制的可能性。在此基礎(chǔ)上,提出并試驗了考慮風(fēng)電出力特性的電動汽車充電負(fù)荷曲線。目的是使電動汽車充電功率保證實際需求的情況下,與風(fēng)力發(fā)電協(xié)同匹配,進一步提高風(fēng)電利用率,實現(xiàn)電動汽車與新能源發(fā)電協(xié)調(diào)發(fā)展。經(jīng)過計算,并將結(jié)果進行對比和評估,可以看出,基于風(fēng)電出力特性的控制策略能夠提高含風(fēng)電場及電動汽車的電力系統(tǒng)可靠性,并增強風(fēng)電場對電動汽車的有效載荷能力。
[Abstract]:With the continuous development of the Thirteenth Five-Year Plan, China's economy is developing rapidly, society is progressing and the level of science and technology is flourishing day by day. In such a prosperous environment, people's way of production and life are changing with each passing day, which leads to the increasing demand for resources and energy for people's production activities and daily life, which has caused great pressure to the ecology and living environment. At the same time, the global energy crisis and environmental problems are becoming more and more prominent, which highlights the importance of sustainable development strategy in China. Wind power and other new sources of energy began to be used and popularized, electric vehicles and other new vehicles into thousands of households. Compared with the traditional energy sources, the randomness and intermittency of the renewable energy sources bring new challenges to the stability and reliability of the power grid, and the load of electric vehicles also makes the power grid reliability bear a greater burden. Therefore, it is necessary not only to evaluate the reliability of the traditional electric network connected with electric vehicles, but also to further study the contribution of wind farms to the reliability of electric power system with electric vehicle charging load. In this paper, the charging load model of electric vehicle is established. Considering several influencing factors of electric vehicle charging, the probability density curve and the probability density curve of moving distance are obtained by using the statistical principle when the electric vehicle begins to replenish the electric energy. According to the charging characteristics of electric vehicle battery and the driving characteristics of electric vehicle, Monte Carlo simulation method is used to calculate and draw the charging power curve of electric vehicle. In order to understand the basic characteristics of the charge load and the impact on the system. This paper introduces several wind speed models and the basic principles of wind turbines. According to the wind speed data measured throughout the year and combined with the characteristics of wind motors, the generating force model of wind turbines is calculated and established. Based on IEEE-RTS79 test system, the reliability model of electric power system with wind farm and electric vehicle load is established. Using Monte Carlo simulation method based on sequential sampling principle, the reliability level of electric vehicle load access power system is calculated. The influence of wind power generation and the existence of both on the reliability of power system. The payload capacity of wind power generation based on electric vehicle load is defined, and the matching of installed capacity of wind farm and charging load of electric vehicle under the same reliability level is investigated. In order to give full play to the role of wind power generation and ensure the reliability of power system, the load capacity based on electric vehicle load is further improved. The concept of V2G vehicle to gridd technology and the V2G management system are introduced in the background of the continuous progress and application of electric vehicle technology. The basic principle of V2G technology is summarized and expounded. On the basis of V2G mode, the possibility of controlling the charging behavior of electric vehicle is expounded. On this basis, the charging load curve of electric vehicle considering wind power output characteristics is proposed and tested. The purpose of this paper is to make the electric vehicle charge power guarantee the actual demand, to match with the wind power generation, to further improve the utilization ratio of wind power, and to realize the coordinated development of electric vehicle and new energy generation. Through calculation, comparison and evaluation of the results, it can be seen that the control strategy based on wind power output characteristics can improve the reliability of electric power system with wind farm and electric vehicle, and enhance the payload capacity of wind farm to electric vehicle.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM614

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本文編號：1848037