【摘要】：儲(chǔ)能技術(shù)是現(xiàn)在智能電網(wǎng)、綠色清潔新能源網(wǎng)、電動(dòng)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(shí)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(jī)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(yùn)行穩(wěn)定性,是調(diào)整頻率、補(bǔ)償負(fù)荷波動(dòng)的一種有效手段。實(shí)際工程中合理的配置儲(chǔ)能系統(tǒng),能夠在匹配光伏系統(tǒng)的同時(shí),盡可能的減少前期建設(shè)投入和后期維護(hù)成本,對(duì)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(xiàng)目,主要進(jìn)行了光伏微網(wǎng)復(fù)合儲(chǔ)能容量配置研究,考慮兩種儲(chǔ)能復(fù)合成微電網(wǎng)儲(chǔ)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(jìn)行光伏出力預(yù)測(cè)。然后分析負(fù)載類型,預(yù)測(cè)系統(tǒng)需求和負(fù)載優(yōu)先級(jí)。再通過(guò)統(tǒng)計(jì),使用離散型隨機(jī)變量的概率密度函數(shù)方法,求出最優(yōu)儲(chǔ)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(jī)時(shí)代的重要意義、研究?jī)r(jià)值和應(yīng)用價(jià)值,并闡述國(guó)內(nèi)外光伏發(fā)電產(chǎn)業(yè)發(fā)展現(xiàn)狀。之后對(duì)儲(chǔ)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(shí)進(jìn)行了鋰電池和超級(jí)電容的模型分析,建立單一儲(chǔ)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(lái)進(jìn)行復(fù)合儲(chǔ)能的容量配置,在預(yù)測(cè)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(yùn)行。確定優(yōu)化目標(biāo)和約束條件后,使用YALMIP工具箱進(jìn)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(xiàng)目,進(jìn)行算例分析,驗(yàn)證復(fù)合儲(chǔ)能容量配置的合理性。微電網(wǎng)復(fù)合儲(chǔ)能容量配置多依賴工程經(jīng)驗(yàn),缺乏理論指導(dǎo)和定量標(biāo)準(zhǔn)。本文使用的復(fù)合儲(chǔ)能容量配置方法,以經(jīng)濟(jì)性最優(yōu)為主要優(yōu)化目標(biāo),同時(shí)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(chǔ)能容量配置提供技術(shù)參考。但在實(shí)際運(yùn)用中,由于考慮情況會(huì)更加復(fù)雜,本文提出的復(fù)合儲(chǔ)能系統(tǒng)的配置方法有待進(jìn)一步研究。隨著科學(xué)技術(shù)的不斷發(fā)展,儲(chǔ)能材料與儲(chǔ)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(yàn)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(chǔ)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(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM615;TM76

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本文編號(hào)：2227394