【摘要】：微網(wǎng)經(jīng)濟(jì)調(diào)度是微網(wǎng)系統(tǒng)優(yōu)化運(yùn)行的關(guān)鍵。微網(wǎng)中風(fēng)、光等分布式電源具有間歇性、隨機(jī)性的特點(diǎn),其大規(guī)模接入微電網(wǎng)將給電網(wǎng)帶來(lái)較大的沖擊。近年來(lái),受能源、環(huán)境的雙重壓力,電動(dòng)汽車EV(Electric Vehicle)受到了各國(guó)政府、能源企業(yè)以及汽車廠商的廣泛關(guān)注。電動(dòng)汽車這種移動(dòng)車載儲(chǔ)能裝置以“車-網(wǎng)”互動(dòng)V2G(Vehicle to Grid)模式接入微網(wǎng)能起到削峰填谷、平抑可再生能源的間歇性的作用。因此研究有電動(dòng)汽車參與的微網(wǎng)優(yōu)化運(yùn)行問(wèn)題顯得尤為重要和必要。本文的主要目的是探究電動(dòng)汽車接入微網(wǎng)對(duì)微網(wǎng)經(jīng)濟(jì)性帶來(lái)的影響。本文首先介紹了目前微網(wǎng)的研究現(xiàn)狀以及V2G技術(shù)的現(xiàn)狀,分析了電動(dòng)汽車接入微網(wǎng)帶來(lái)的機(jī)遇和挑戰(zhàn),得出了電動(dòng)汽車接入微網(wǎng)運(yùn)行的迫切性以及其優(yōu)勢(shì)。其次根據(jù)光伏、風(fēng)機(jī)、冷熱電聯(lián)產(chǎn)系統(tǒng)、燃料電池、蓄電池以及電動(dòng)汽車的排放特性以及運(yùn)行特性分別建立了發(fā)電成本、排放成本、冷熱收益以及維護(hù)成本等數(shù)學(xué)模型。然后介紹了里程焦慮這一概念并針對(duì)電動(dòng)汽車用戶里程焦慮這一問(wèn)題根據(jù)其里程焦慮程度大小提出了3種電動(dòng)汽車的充放電策略,隨后根據(jù)綜合成本最低這一目標(biāo)分別建立含電動(dòng)汽車微網(wǎng)在并網(wǎng)和孤島運(yùn)行狀態(tài)下經(jīng)濟(jì)優(yōu)化模型。最后通過(guò)采用變慣性權(quán)重的改進(jìn)粒子群算法對(duì)目標(biāo)函數(shù)進(jìn)行求解,并通過(guò)算例分析分別給出了在并網(wǎng)運(yùn)行條件下含電動(dòng)汽車微網(wǎng)不同典型日下不同里程焦慮模式下微源的最優(yōu)出力情況和電能交易情況,以及在孤島運(yùn)行模式下含電動(dòng)汽車微網(wǎng)不同典型日下微源最優(yōu)出力情況,并分析了電動(dòng)汽車接入微網(wǎng)的經(jīng)濟(jì)性。證了模型的合理性和有效性。
[Abstract]:The economic scheduling of microgrid is the key to the optimal operation of microgrid system. Microgrid stroke, optical and other distributed power supply has the characteristics of intermittent and random, and its large-scale access to microgrid will bring great impact to the power grid. In recent years, due to the dual pressure of energy and environment, electric vehicle EV (Electric Vehicle) has been widely concerned by governments, energy enterprises and automobile manufacturers. Electric vehicle, a mobile vehicle energy storage device, can cut peaks and fill valleys by using "car-net" interactive V2G (Vehicle to Grid) mode to connect to micronetworks, and can calm the intermittent of renewable energy. Therefore, it is particularly important and necessary to study the optimal operation of microgrid with the participation of electric vehicles. The main purpose of this paper is to explore the impact of electric vehicle access to microgrid on microgrid economy. This paper first introduces the current research status of microgrid and the present situation of V2G technology, analyzes the opportunities and challenges brought by electric vehicle access to microgrid, and obtains the urgency and advantages of electric vehicle access to microgrid. Secondly, according to the emission characteristics and operation characteristics of photovoltaic, fan, cogeneration system, fuel cell, battery and electric vehicle, the mathematical models of power generation cost, emission cost, cold and heat benefit and maintenance cost are established respectively. Then, the concept of mileage anxiety is introduced, and three kinds of charging and discharging strategies of electric vehicle are put forward according to the degree of mileage anxiety in view of the problem of mileage anxiety of electric vehicle users. Then, according to the goal of the lowest comprehensive cost, the economic optimization models of microgrid with electric vehicle in the state of grid connection and isolated island operation are established respectively. Finally, the objective function is solved by using the improved particle swarm optimization algorithm with variable inertia weight. The optimal output and power trading of micro-sources with different mileage anxiety modes under different typical mileage anxiety modes of electric vehicles under the condition of grid-connected operation are given by an example. The optimal output of micro-source with different typical daily microgrid in isolated island operation mode is analyzed, and the economy of electric vehicle connecting to microgrid is analyzed. The rationality and effectiveness of the model are proved.
【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)】：TM727

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