光伏微電網(wǎng)能量調(diào)度及儲能容量配置研究
[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
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