本文選題：微電網(wǎng) + 優(yōu)化配置　； 參考：《西華大學(xué)》2017年碩士論文

【摘要】：為實(shí)現(xiàn)能源的可持續(xù)發(fā)展和滿足社會(huì)日益增加的電力需求,分布式電源因其清潔環(huán)保、因地制宜發(fā)電、減少電能損失和延緩電網(wǎng)線路更新的優(yōu)點(diǎn),成為電網(wǎng)供電的重要組成部分。微電網(wǎng)作為分布式電源有效的集中管理方式,得到了各國的重點(diǎn)關(guān)注和大力發(fā)展。同時(shí),隨著電動(dòng)汽車的逐步發(fā)展和普及,通過分布式電源給電動(dòng)汽車充電,更有利于節(jié)能環(huán)保和降低損耗。但風(fēng)電機(jī)組和光伏陣列等分布式電源受到氣象條件影響較大,并且電動(dòng)汽車的充電時(shí)間和充電量具有隨機(jī)性。在考慮以上不確定因素的情況下,如何實(shí)現(xiàn)微電網(wǎng)的可靠運(yùn)行和電源的合理優(yōu)化是微電網(wǎng)研究中的重點(diǎn)。為此,本文主要針對(duì)含電動(dòng)汽車的微電網(wǎng)電源優(yōu)化配置問題展開研究。具體研究內(nèi)容如下:(1)建立微電網(wǎng)電源和電動(dòng)汽車模型。對(duì)于微電網(wǎng)中不同類型的分布式電源和電動(dòng)汽車(electric vehicles,EVs)進(jìn)行研究分析。根據(jù)風(fēng)力發(fā)電機(jī)、光伏陣列和蓄電池的工作原理和運(yùn)行特性建立相關(guān)模型;分析電動(dòng)汽車的充放電特性和針對(duì)其運(yùn)行特點(diǎn)進(jìn)行負(fù)荷模擬,最終建立電動(dòng)汽車和微電網(wǎng)的全年時(shí)序負(fù)荷模型。(2)含電動(dòng)汽車換電站的并網(wǎng)型微電網(wǎng)優(yōu)化配置研究。針對(duì)存在電動(dòng)汽車換電站(battery swap station,BSS)的并網(wǎng)型風(fēng)光儲(chǔ)微電網(wǎng),為合理利用大電網(wǎng)資源和考慮到并網(wǎng)型微電網(wǎng)實(shí)際運(yùn)行情況,提出含換電站的微電網(wǎng)并網(wǎng)運(yùn)行和獨(dú)立運(yùn)行策略;以微電源年總經(jīng)濟(jì)成本為目標(biāo)函數(shù),考慮大電網(wǎng)故障下并網(wǎng)型微電網(wǎng)的短時(shí)獨(dú)立可靠運(yùn)行,計(jì)及微電網(wǎng)與大電網(wǎng)的交換功率限制和不同運(yùn)行策略對(duì)蓄電池壽命的影響,采用小生境細(xì)菌覓食算法,優(yōu)化得出不同運(yùn)行模式下含換電站的微電網(wǎng)電源容量配置方案。根據(jù)仿真結(jié)果,分析不同微電網(wǎng)運(yùn)行策略的作用和特點(diǎn)。(3)考慮電動(dòng)汽車和風(fēng)光資源不確定性的獨(dú)立型微電網(wǎng)優(yōu)化配置研究。針對(duì)存在電動(dòng)汽車的獨(dú)立型微電網(wǎng),利用分時(shí)電價(jià)機(jī)制引導(dǎo)和蒙特卡洛方法模擬不同管理模式下的電動(dòng)汽車負(fù)荷,采用場景生成和K均值聚類算法構(gòu)造風(fēng)光典型場景集,以等年值成本最優(yōu)為目標(biāo)函數(shù),經(jīng)小生境細(xì)菌覓食算法優(yōu)化得出含EV的微電網(wǎng)電源容量配置方案。根據(jù)仿真結(jié)果,分析不同能量管理模式對(duì)EV用戶年充放電成本和微電網(wǎng)等年值成本的影響。
[Abstract]:In order to realize the sustainable development of energy and meet the increasing power demand of the society, distributed power generation has the advantages of clean and environmental protection, generating electricity according to local conditions, reducing power loss and delaying the renewal of power grid lines. It becomes an important part of power supply. As an effective centralized management mode of distributed power generation, microgrid has been paid more attention and developed greatly in many countries. At the same time, with the gradual development and popularization of electric vehicles, it is more beneficial to save energy and environmental protection and reduce the loss by charging electric vehicles with distributed power. However, distributed power sources such as wind turbines and photovoltaic arrays are greatly affected by meteorological conditions, and the charging time and charge quantity of electric vehicles are random. Considering the above uncertain factors, how to realize the reliable operation of microgrid and the reasonable optimization of power supply is the key point in the research of microgrid. Therefore, this paper mainly focuses on the optimization of power supply allocation for micro-grid with electric vehicles. The specific research contents are as follows: 1) establish the model of micro-grid power supply and electric vehicle. The research and analysis of different types of distributed generation and electric vehicle EVss in microgrid are carried out. According to the working principle and operation characteristics of wind turbine, photovoltaic array and battery, the related models are established, and the charge-discharge characteristics of electric vehicle are analyzed and the load simulation is carried out according to its operating characteristics. Finally, the full-year time-series load model of electric vehicle and microgrid is established. The optimal configuration of grid-connected microgrid with electric vehicle replacement power station is studied. Aiming at the grid-connected solar microgrid with battery swap station (BSS), in order to make rational use of large power grid resources and consider the actual operation situation of grid-connected microgrid, this paper puts forward the grid-connected and independent operation strategy of micro-grid with changing power station. Taking the total annual economic cost of micro-power as the objective function, the short-time independent and reliable operation of grid-connected microgrid under the fault of large power grid is considered, and the influence of the exchange power limit between microgrid and large power grid and different operation strategies on battery life is taken into account. By using the niche bacteria foraging algorithm, the configuration scheme of the power supply capacity of the microgrid with different operation modes is obtained. According to the simulation results, the function and characteristics of different microgrid operation strategies are analyzed. Aiming at the independent micro-grid with electric vehicles, the time-sharing pricing mechanism and Monte Carlo method are used to simulate the load of electric vehicles under different management modes, and the scene generation and K-means clustering algorithm are used to construct the typical scene sets. The optimal annual cost is taken as the objective function, and the configuration scheme of power supply capacity of microgrid with EV is obtained through the optimization of niche bacteria foraging algorithm. Based on the simulation results, the effects of different energy management modes on the annual charge / discharge cost of EV users and the annual cost of micro-grid are analyzed.
【學(xué)位授予單位】：西華大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM727

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本文編號(hào)：1972749