天堂国产午夜亚洲专区-少妇人妻综合久久蜜臀-国产成人户外露出视频在线-国产91传媒一区二区三区

當(dāng)前位置:主頁 > 科技論文 > 電氣論文 >

光伏微電網(wǎng)能量調(diào)度及儲能容量配置研究

發(fā)布時間:2018-09-06 20:02
【摘要】:儲能技術(shù)是現(xiàn)在智能電網(wǎng)、綠色清潔新能源網(wǎng)、電動交通工具乃至能源互聯(lián)網(wǎng)的關(guān)鍵技術(shù)之一,不但可以有效實現(xiàn)需求側(cè)管理、消除可再生能源不穩(wěn)定而產(chǎn)生的峰谷差、平滑具有隨機性的負(fù)荷,而且可以提高電力設(shè)備效率、改善發(fā)電成本、提高整體用電網(wǎng)絡(luò)運行穩(wěn)定性,是調(diào)整頻率、補償負(fù)荷波動的一種有效手段。實際工程中合理的配置儲能系統(tǒng),能夠在匹配光伏系統(tǒng)的同時,盡可能的減少前期建設(shè)投入和后期維護成本,對于新能源的推廣有著重要意義。本文基于我校11OkW光伏微網(wǎng)項目,主要進行了光伏微網(wǎng)復(fù)合儲能容量配置研究,考慮兩種儲能復(fù)合成微電網(wǎng)儲能系統(tǒng),采用模型地區(qū)的年光照歷史數(shù)據(jù)為基礎(chǔ),進行光伏出力預(yù)測。然后分析負(fù)載類型,預(yù)測系統(tǒng)需求和負(fù)載優(yōu)先級。再通過統(tǒng)計,使用離散型隨機變量的概率密度函數(shù)方法,求出最優(yōu)儲能容量,滿足約束條件。論文首先給出微網(wǎng)系統(tǒng)的研究背景,指出分布式新能源的智能微網(wǎng)在能源危機時代的重要意義、研究價值和應(yīng)用價值,并闡述國內(nèi)外光伏發(fā)電產(chǎn)業(yè)發(fā)展現(xiàn)狀。之后對儲能技術(shù)和基本需求加以分析。其次,給出光伏電池的數(shù)學(xué)模型和其工作特性,建立光伏電池的仿真模型。同時進行了鋰電池和超級電容的模型分析,建立單一儲能的模型。接著研究了基于環(huán)境因素的光伏微網(wǎng)輸出特性。本文提出了使用功率差額概率來進行復(fù)合儲能的容量配置,在預(yù)測光伏系統(tǒng)輸出和系統(tǒng)負(fù)載的基礎(chǔ)上,確保重要負(fù)載運行。確定優(yōu)化目標(biāo)和約束條件后,使用YALMIP工具箱進行標(biāo)準(zhǔn)優(yōu)化處理。最后結(jié)合我校110KW光伏微電網(wǎng)項目,進行算例分析,驗證復(fù)合儲能容量配置的合理性。微電網(wǎng)復(fù)合儲能容量配置多依賴工程經(jīng)驗,缺乏理論指導(dǎo)和定量標(biāo)準(zhǔn)。本文使用的復(fù)合儲能容量配置方法,以經(jīng)濟性最優(yōu)為主要優(yōu)化目標(biāo),同時考慮了負(fù)載中重要負(fù)載的可靠性,本文的研究結(jié)果可為光伏系統(tǒng)的復(fù)合儲能容量配置提供技術(shù)參考。但在實際運用中,由于考慮情況會更加復(fù)雜,本文提出的復(fù)合儲能系統(tǒng)的配置方法有待進一步研究。隨著科學(xué)技術(shù)的不斷發(fā)展,儲能材料與儲能技術(shù)的不斷創(chuàng)新,智能電網(wǎng)的不斷推廣,工程經(jīng)驗的持續(xù)累積,在工程建設(shè)之初必能更加準(zhǔn)確的預(yù)估滿足系統(tǒng)需求的儲能容量配置方案。
[Abstract]:Energy storage technology is one of the key technologies of smart grid, green clean new energy network, electric vehicle and even energy Internet. It can not only effectively realize the demand side management, but also eliminate the peak and valley difference caused by the instability of renewable energy. Smoothing the random load can improve the efficiency of power equipment, improve the cost of power generation and improve the stability of the whole power network. It is an effective means to adjust the frequency and compensate the load fluctuation. The reasonable configuration of energy storage system in practical engineering can reduce the cost of pre-construction and maintenance as much as possible while matching photovoltaic system, which is of great significance for the promotion of new energy. Based on the 11OkW photovoltaic microgrid project, this paper mainly studies the configuration of the composite energy storage capacity of the photovoltaic microgrid, considering two kinds of composite energy storage system of the micro-grid, based on the annual lighting history data of the model area. The prediction of photovoltaic force is carried out. Then analyze the load type, predict system requirements and load priority. Then the optimal energy storage capacity is obtained by using the probability density function method of discrete random variables and the constraint conditions are satisfied. Firstly, the research background of microgrid system is given, and the important significance, research value and application value of distributed new energy intelligent microgrid in the era of energy crisis are pointed out, and the development status of photovoltaic power generation industry at home and abroad is expounded. Then the energy storage technology and basic needs are analyzed. Secondly, the mathematical model of photovoltaic cell and its working characteristics are given, and the simulation model of photovoltaic cell is established. At the same time, the model of lithium battery and super capacitor is analyzed, and a single energy storage model is established. Then the output characteristics of photovoltaic microgrid based on environmental factors are studied. In this paper, the power difference probability is used to configure the capacity of composite energy storage. Based on the prediction of PV system output and system load, the important load operation is ensured. After determining the optimization objectives and constraints, use the YALMIP toolbox for standard optimization. Finally, combining the 110KW photovoltaic microgrid project of our school, an example analysis is carried out to verify the rationality of the configuration of composite energy storage capacity. The configuration of composite energy storage capacity of microgrid depends on engineering experience and lacks theoretical guidance and quantitative standard. The configuration method of composite energy storage capacity used in this paper takes the economic optimization as the main optimization objective and takes into account the reliability of the important load in the load. The research results in this paper can provide a technical reference for the configuration of the composite energy storage capacity of the photovoltaic system. However, in the practical application, the configuration method of the composite energy storage system proposed in this paper needs to be further studied because the situation will be more complex. With the development of science and technology, the innovation of energy storage materials and energy storage technology, the promotion of smart grid, and the continuous accumulation of engineering experience, At the beginning of engineering construction, it will be able to predict more accurately the energy storage capacity allocation scheme to meet the system requirements.
【學(xué)位授予單位】:安徽工程大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM615;TM76

【參考文獻】

相關(guān)期刊論文 前10條

1 婁素華;易林;吳耀武;侯婷婷;楊育豐;;基于可變壽命模型的電池儲能容量優(yōu)化配置[J];電工技術(shù)學(xué)報;2015年04期

2 馬速良;馬會萌;蔣小平;段國棟;李娜;;基于Bloch球面的量子遺傳算法的混合儲能系統(tǒng)容量配置[J];中國電機工程學(xué)報;2015年03期

3 馬曉博;陳敏;周辛男;;微電網(wǎng)概率性最優(yōu)的儲能容量研究[J];中國電力;2015年01期

4 路欣怡;黃揚琪;劉念;雷金勇;張建華;;含風(fēng)光柴蓄的海島獨立微電網(wǎng)多目標(biāo)優(yōu)化調(diào)度方法[J];現(xiàn)代電力;2014年05期

5 肖峻;張澤群;張磐;梁海深;王成山;;用于優(yōu)化微網(wǎng)聯(lián)絡(luò)線功率的混合儲能容量優(yōu)化方法[J];電力系統(tǒng)自動化;2014年12期

6 譚興國;王輝;張黎;鄒亮;;微電網(wǎng)復(fù)合儲能多目標(biāo)優(yōu)化配置方法及評價指標(biāo)[J];電力系統(tǒng)自動化;2014年08期

7 張峰;董曉明;梁軍;韓學(xué)山;孫舶皓;王洪濤;;考慮目標(biāo)分解及其互補平抑的風(fēng)電場復(fù)合儲能容量優(yōu)化[J];電力系統(tǒng)自動化;2014年07期

8 劉冠群;袁越;王敏;戴欣;許璐;;考慮經(jīng)濟成本的光伏電站儲能容量配置[J];可再生能源;2014年01期

9 趙奕凡;杜常清;顏伏伍;;動力電池組能量均衡管理控制策略[J];電機與控制學(xué)報;2013年10期

10 馬帥旗;;太陽能光伏電池建模及V-I特性研究[J];電源技術(shù);2013年08期

相關(guān)博士學(xué)位論文 前6條

1 侯婷婷;含大規(guī)模風(fēng)電的電力系統(tǒng)儲能電源優(yōu)化配置研究[D];華中科技大學(xué);2014年

2 譚興國;微電網(wǎng)復(fù)合儲能柔性控制技術(shù)與容量優(yōu)化配置[D];山東大學(xué);2014年

3 林少伯;含光伏電源的微電網(wǎng)儲能控制技術(shù)研究[D];華北電力大學(xué);2013年

4 陳昌松;光伏微網(wǎng)的發(fā)電預(yù)測與能量管理技術(shù)研究[D];華中科技大學(xué);2011年

5 唐西勝;超級電容器儲能應(yīng)用于分布式發(fā)電系統(tǒng)的能量管理及穩(wěn)定性研究[D];中國科學(xué)院研究生院(電工研究所);2006年

6 歐陽名三;獨立光伏系統(tǒng)中蓄電池管理的研究[D];合肥工業(yè)大學(xué);2004年

相關(guān)碩士學(xué)位論文 前5條

1 曾虎森;獨立微電網(wǎng)儲能系統(tǒng)的研究[D];廣西大學(xué);2013年

2 張勃;北京地區(qū)光伏系統(tǒng)發(fā)電功率預(yù)測的研究[D];燕山大學(xué);2013年

3 陳義鵬;獨立光伏發(fā)電系統(tǒng)儲能技術(shù)及放電管理的研究[D];燕山大學(xué);2012年

4 楊為;分布式電源的優(yōu)化調(diào)度[D];合肥工業(yè)大學(xué);2010年

5 羅光毅;蓄電池智能管理系統(tǒng)[D];浙江大學(xué);2003年

,

本文編號:2227394

資料下載
論文發(fā)表

本文鏈接:http://sikaile.net/kejilunwen/dianlidianqilunwen/2227394.html


Copyright(c)文論論文網(wǎng)All Rights Reserved | 網(wǎng)站地圖 |

版權(quán)申明:資料由用戶75a48***提供,本站僅收錄摘要或目錄,作者需要刪除請E-mail郵箱bigeng88@qq.com