本文關(guān)鍵詞： 微電網(wǎng) 微電源 儲(chǔ)能系統(tǒng) 容量?jī)?yōu)化配置 帕累托最優(yōu) 多目標(biāo)粒子群優(yōu)化算法　出處：《西安理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著經(jīng)濟(jì)的高速發(fā)展,化石能源隨之日益短缺且全球氣候不斷變暖,在國(guó)內(nèi)外研究領(lǐng)域微電網(wǎng)得到了前所未有的關(guān)注,作為集合可再生能源的有效形式,微電網(wǎng)在化石能源替代方面起到了日益關(guān)鍵的作用。儲(chǔ)能是微電網(wǎng)的重要組成部分,在微網(wǎng)控制、微源波動(dòng)平抑、電能質(zhì)量補(bǔ)償、應(yīng)急供電等方面提供重要技術(shù)作用。由于現(xiàn)階段儲(chǔ)能造價(jià)較高且難以滿足微網(wǎng)內(nèi)的眾多需求,在微電網(wǎng)優(yōu)化配置中如何合理利用各類微源,如何協(xié)調(diào)微電網(wǎng)之間的負(fù)荷分配,如何最大限度地優(yōu)化配置儲(chǔ)能裝置,如何量化評(píng)估微電網(wǎng)儲(chǔ)能系統(tǒng)的容量配置具有重要的現(xiàn)實(shí)意義。微電網(wǎng)內(nèi)部的儲(chǔ)能系統(tǒng)可以有效的改善微電源的功率輸出特性,提高微電網(wǎng)內(nèi)部可再生能源發(fā)電單元的穩(wěn)定性,同時(shí)可以給微電網(wǎng)提供短時(shí)供電,但是儲(chǔ)能裝置造價(jià)昂貴,如何合理選取儲(chǔ)能的額定容量是保障微電網(wǎng)安全經(jīng)濟(jì)運(yùn)行的重要前提。本文主要研究微電網(wǎng)儲(chǔ)能系統(tǒng)容量的多目標(biāo)優(yōu)化配置問題。首先分析了微電網(wǎng)微源的運(yùn)行模式和隨機(jī)規(guī)劃理論,其次針對(duì)傳統(tǒng)儲(chǔ)能系統(tǒng)容量無法科學(xué)定量配置,傳統(tǒng)多目標(biāo)算法解集單一,目標(biāo)函數(shù)之間沖突的問題,提出了一種基于帕累托(Pareto)最優(yōu)解集的微電網(wǎng)儲(chǔ)能系統(tǒng)容量多目標(biāo)優(yōu)化配置的數(shù)學(xué)模型。以功率平衡最優(yōu)、可再生能源波動(dòng)最小、投資成本最低為目標(biāo),從功率限幅、儲(chǔ)能系統(tǒng)放充電管理等角度分析了微電網(wǎng)儲(chǔ)能系統(tǒng)的配置,通過仿真實(shí)例分析,驗(yàn)證了本文提出的方法可以有效的匹配可再生能源和負(fù)荷之間的平衡匹配系數(shù),有效實(shí)現(xiàn)微電網(wǎng)儲(chǔ)能容量的定量科學(xué)配置。為微電網(wǎng)儲(chǔ)能系統(tǒng)容量的優(yōu)化配置提供理論基礎(chǔ)與實(shí)踐依據(jù)。
[Abstract]:With the rapid development of economy, fossil energy is becoming increasingly scarce and the global climate is getting warmer. Microgrid has received unprecedented attention in the field of domestic and foreign research, as an effective form of gathering renewable energy. Microgrid plays an increasingly critical role in fossil energy substitution. Energy storage is an important part of microgrid. Because the cost of energy storage is high and it is difficult to meet the needs of microgrid at present, how to make rational use of all kinds of microsources and how to coordinate the load distribution between microgrid in the optimal configuration of microgrid, and how to coordinate the load distribution among microgrid. How to optimize the configuration of energy storage devices to the maximum extent, and how to quantitatively evaluate the capacity configuration of microgrid energy storage system have important practical significance. The energy storage system within microgrid can effectively improve the power output characteristics of micro-power supply. Improving the stability of renewable energy generation units within microgrids and providing short-term power supply to microgrids, but energy storage units are expensive, How to reasonably select the rated capacity of energy storage is an important prerequisite to ensure the safe and economical operation of microgrid. This paper mainly studies the multi-objective optimal configuration of the capacity of micro-grid energy storage system. Firstly, the operation of micro-source in micro-grid is analyzed. Patterns and stochastic programming theories, Secondly, aiming at the problem that the capacity of traditional energy storage system can not be configured scientifically and quantitatively, the traditional multi-objective algorithm solves the problem of single set and conflict between objective functions. In this paper, a mathematical model of multi-objective optimal allocation of energy storage system capacity in microgrid based on Pareto optimal solution set is proposed. The optimal power balance, the minimum fluctuation of renewable energy and the lowest investment cost are the targets. The configuration of microgrid energy storage system is analyzed from the point of view of discharge and charge management of energy storage system. The simulation example shows that the proposed method can effectively match the balance matching coefficient between renewable energy and load. The quantitative and scientific allocation of energy storage capacity of microgrid is realized effectively, which provides the theoretical basis and practical basis for the optimal allocation of energy storage system capacity in microgrid.
【學(xué)位授予單位】：西安理工大學(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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