本文關(guān)鍵詞：微電網(wǎng)電源的優(yōu)化配置及其經(jīng)濟(jì)調(diào)度　出處：《上海電力學(xué)院》2014年碩士論文　論文類(lèi)型：學(xué)位論文

  更多相關(guān)文章： 微電網(wǎng) 微電源優(yōu)化配置 混合量子遺傳算法 經(jīng)濟(jì)調(diào)度 可平移負(fù)荷 動(dòng)態(tài)規(guī)劃 序列二次規(guī)劃 預(yù)估校正內(nèi)點(diǎn)算法

【摘要】：近幾年，，分布式發(fā)電大量興起，微電網(wǎng)以一種更為有效的方式集成了分布式發(fā)電、儲(chǔ)能設(shè)備及可控負(fù)荷，便于可再生能源的接入、提高能源利用效率和各種新興技術(shù)的融合，已經(jīng)成為智能電網(wǎng)的重要組成部分。微電網(wǎng)電源的優(yōu)化配置是微電網(wǎng)規(guī)劃設(shè)計(jì)階段的核心內(nèi)容，而如何實(shí)現(xiàn)能源資源的優(yōu)化分配與微電網(wǎng)的安全、可靠、經(jīng)濟(jì)、環(huán)保運(yùn)行又密切相關(guān)。因此，研究微電網(wǎng)電源的優(yōu)化配置及其經(jīng)濟(jì)調(diào)度具有重要的現(xiàn)實(shí)意義。 本文在分析微電網(wǎng)電源優(yōu)化配置及其經(jīng)濟(jì)調(diào)度問(wèn)題國(guó)內(nèi)外研究現(xiàn)狀和側(cè)重點(diǎn)的基礎(chǔ)上，首先建立了風(fēng)力發(fā)電系統(tǒng)、光伏發(fā)電系統(tǒng)、燃料電池、柴油發(fā)電機(jī)組和儲(chǔ)能系統(tǒng)的穩(wěn)態(tài)輸出及成本模型，并給出了微電網(wǎng)內(nèi)選擇各分布式電源及其并網(wǎng)方式的簡(jiǎn)單建議；其次針對(duì)一個(gè)風(fēng)光儲(chǔ)互補(bǔ)獨(dú)立型微電網(wǎng)，建立了其容量?jī)?yōu)化配置模型，提出了基于混合量子遺傳算法的模型求解方法，算例中通過(guò)與典型量子遺傳算法和普通遺傳算法的收斂性對(duì)比分析，驗(yàn)證了該算法在收斂速度和全局收斂性上的優(yōu)越性；然后從負(fù)荷可控性角度，將微電網(wǎng)內(nèi)負(fù)荷分為重要負(fù)荷、可調(diào)整負(fù)荷和可平移負(fù)荷三類(lèi)，針對(duì)可控性最強(qiáng)的一類(lèi)可平移負(fù)荷建立了其數(shù)學(xué)模型并提出了負(fù)荷平移策略；最后，結(jié)合能源分配與負(fù)荷資源管理，考慮動(dòng)態(tài)調(diào)度特點(diǎn)，研究了計(jì)及可平移負(fù)荷的微電網(wǎng)經(jīng)濟(jì)優(yōu)化調(diào)度問(wèn)題，將調(diào)度視為一類(lèi)多階段決策問(wèn)題，建立了其動(dòng)態(tài)規(guī)劃模型，根據(jù)問(wèn)題特殊性（目標(biāo)函數(shù)二次，約束條件線性），又將動(dòng)態(tài)規(guī)劃轉(zhuǎn)化為序列二次規(guī)劃，采用預(yù)估校正內(nèi)點(diǎn)算法進(jìn)行求解。仿真分析結(jié)果驗(yàn)證了負(fù)荷平移在電力負(fù)荷削峰填谷、提高微電網(wǎng)運(yùn)行經(jīng)濟(jì)性和減少棄風(fēng)棄光方面的作用。
[Abstract]:In recent years, a growing number of distributed generation, micro grid in a more effective way of integration of distributed generation, energy storage devices and controllable loads, access to renewable energy, improve energy efficiency and integration of emerging technology, has become an important part of smart grid. Optimization of micro grid power supply is the core content of micro grid planning and design stage, and how to realize the optimal allocation of energy resources and micro grid safety, reliability, economy, environmental protection and operation are closely related. Therefore, has important practical significance to research on the optimal allocation of micro grid power supply and economic dispatch.
Based on the analysis of micro grid power supply and optimization of economic dispatch status and research emphasis on domestic issues, first established the wind power generation system, photovoltaic system, fuel cell, steady output and cost model of diesel generators and energy storage system, and gives suggestions to choose a simple distributed power source and grid connected mode of micro in the network; for a second complementary scenery storage independent micro grid, establishes the capacity optimal allocation model, put forward the solution method of the model based on hybrid quantum genetic algorithm, convergence analysis is compared with the typical quantum genetic algorithm and genetic algorithm by ordinary cases, verify the superiority of the algorithm in convergence speed and global convergence; and then from the angle of controllable load in microgrid, the load is divided into important load, adjustable load and shifting load three, needle The strongest controllability of a class of moving load has established its mathematical model and put forward the load translation strategy; finally, combined with the energy load distribution and resource management, considering the characteristics of dynamic scheduling, and shifting load of micro grid economic scheduling problem, the scheduling is viewed as a kind of multi stage decision problems, establish the dynamic programming model, according to the special problem (objective function two times, and the linear constraints) dynamic programming is transformed into a sequence of two quadratic programming, the predictor corrector interior point algorithm. The simulation results show the load shift in power load peak, improve the micro economic operation of the power grid and reduce abandoned abandoned wind light effect.

【學(xué)位授予單位】：上海電力學(xué)院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TM73

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 宋洪磊;吳俊勇;冀魯豫;高立志;劉印磊;黃鵬洲;;風(fēng)光互補(bǔ)獨(dú)立供電系統(tǒng)的多目標(biāo)優(yōu)化設(shè)計(jì)[J];電工技術(shù)學(xué)報(bào);2011年07期

2 梁才浩,段獻(xiàn)忠;分布式發(fā)電及其對(duì)電力系統(tǒng)的影響[J];電力系統(tǒng)自動(dòng)化;2001年12期

3 魯宗相;王彩霞;閔勇;周雙喜;呂金祥;王云波;;微電網(wǎng)研究綜述[J];電力系統(tǒng)自動(dòng)化;2007年19期

4 王成山;王守相;;分布式發(fā)電供能系統(tǒng)若干問(wèn)題研究[J];電力系統(tǒng)自動(dòng)化;2008年20期

5 王松巖;于繼來(lái);;短時(shí)風(fēng)速概率分布的混合威布爾逼近方法[J];電力系統(tǒng)自動(dòng)化;2010年06期

6 王銳;顧偉;吳志;;含可再生能源的熱電聯(lián)供型微網(wǎng)經(jīng)濟(jì)運(yùn)行優(yōu)化[J];電力系統(tǒng)自動(dòng)化;2011年08期

7 茆美琴;孫樹(shù)娟;蘇建徽;;包含電動(dòng)汽車(chē)的風(fēng)/光/儲(chǔ)微電網(wǎng)經(jīng)濟(jì)性分析[J];電力系統(tǒng)自動(dòng)化;2011年14期

8 梁有偉,胡志堅(jiān),陳允平;分布式發(fā)電及其在電力系統(tǒng)中的應(yīng)用研究綜述[J];電網(wǎng)技術(shù);2003年12期

9 黃偉;孫昶輝;吳子平;張建華;;含分布式發(fā)電系統(tǒng)的微網(wǎng)技術(shù)研究綜述[J];電網(wǎng)技術(shù);2009年09期

10 牛銘;黃偉;郭佳歡;蘇玲;;微網(wǎng)并網(wǎng)時(shí)的經(jīng)濟(jì)運(yùn)行研究[J];電網(wǎng)技術(shù);2010年11期

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