本文選題：電動(dòng)汽車 + 雙層優(yōu)化�。� 參考：《華北電力大學(xué)(北京)》2017年碩士論文

【摘要】：隨著電動(dòng)汽車的普及和可再生能源的大力開(kāi)發(fā),傳統(tǒng)電網(wǎng)的經(jīng)濟(jì)調(diào)度策略已經(jīng)不能滿足大量隨機(jī)性負(fù)荷接入電網(wǎng)帶來(lái)的挑戰(zhàn)。通過(guò)合理的調(diào)度策略,可以利用電動(dòng)汽車的V2G功能來(lái)為配電網(wǎng)的運(yùn)行產(chǎn)生積極影響,本文利用電動(dòng)汽車的V2G功能與配電網(wǎng)中的可再生能源進(jìn)行優(yōu)化調(diào)度,具有很重要的現(xiàn)實(shí)意義。本文主要研究?jī)?nèi)容如下:1)針對(duì)電動(dòng)汽車用戶行駛習(xí)慣的特點(diǎn),模擬了電動(dòng)汽車無(wú)序充電的負(fù)荷特性;利用蒙特卡洛模擬的方法對(duì)電動(dòng)汽車總體充電功率負(fù)荷進(jìn)行模擬,結(jié)果表明電動(dòng)汽車進(jìn)行無(wú)序充電會(huì)增加配電網(wǎng)負(fù)荷峰谷差,影響電力系統(tǒng)穩(wěn)定性。2)分析了分布式可再生能源接入配電網(wǎng)對(duì)配電網(wǎng)產(chǎn)生的影響,在配電網(wǎng)運(yùn)行優(yōu)化中考慮風(fēng)電、光伏等隨機(jī)性和波動(dòng)性的可再生能源接入,并利用分布函數(shù)對(duì)可再生能源出力進(jìn)行預(yù)估,使得模型更加符合現(xiàn)實(shí)情況。3)利用雙層優(yōu)化的方法在含有電動(dòng)汽車與可再生能源的電網(wǎng)系統(tǒng)調(diào)度模型中既考慮電動(dòng)汽車及可再生能源的時(shí)間分布特征又考慮其空間分布特征,在上層優(yōu)化中獲得到的配電網(wǎng)中各個(gè)時(shí)段電動(dòng)汽車與可再生能源的功率分配情況,在下層優(yōu)化中考慮其空間分布特性。結(jié)果表明協(xié)同優(yōu)化調(diào)度策略不僅能夠減小配網(wǎng)的峰谷差提高其穩(wěn)定性,還能夠減小配網(wǎng)網(wǎng)損,提高可再生能源利用率。
[Abstract]:With the popularity of electric vehicles and the development of renewable energy, the traditional economic scheduling strategy of power grid can not meet the challenge of a large number of random load access network. Through reasonable dispatching strategy, the V2G function of electric vehicle can be used to make positive impact on the operation of distribution network. In this paper, the V2G function of electric vehicle and the renewable energy in distribution network can be used to optimize the dispatching. Has very important realistic significance. The main contents of this paper are as follows: (1) aiming at the characteristics of electric vehicle users' driving habits, the paper simulates the load characteristics of electric vehicle charging disorderly, and simulates the overall charging power load of electric vehicle by Monte Carlo simulation. The results show that the disordered charging of electric vehicles will increase the load peak and valley difference of distribution network and affect the stability of power system. (2) the influence of distributed renewable energy access to distribution network is analyzed, and wind power is considered in the optimization of distribution network operation. Random and volatile renewable energy access, such as photovoltaic, and use distribution function to estimate renewable energy output. Make the model more in line with the reality. 3) in the grid system scheduling model with electric vehicle and renewable energy, the time distribution characteristics and spatial distribution characteristics of electric vehicle and renewable energy are taken into account in the grid system dispatching model containing electric vehicle and renewable energy by using the double layer optimization method. The power distribution of electric vehicles and renewable energy in each period of time is obtained in the upper layer optimization, and the spatial distribution characteristics are considered in the lower layer optimization. The results show that the cooperative optimal scheduling strategy can not only reduce the peak and valley difference of distribution network to improve its stability, but also reduce the network loss and improve the utilization rate of renewable energy.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【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)：2071317