發(fā)布時(shí)間：2018-06-22 18:55

  本文選題：風(fēng)力發(fā)電 + 光伏發(fā)電��； 參考：《山西大學(xué)》2014年碩士論文

【摘要】：隨著經(jīng)濟(jì)社會(huì)的發(fā)展,科學(xué)技術(shù)在不斷進(jìn)步,全球資源和環(huán)境暴露出越來越多的問題。從我國能源分布情況和用電負(fù)荷地域的角度分析,國家提出要對可再生能源的高效利用。研究風(fēng)能和太陽能的高效利用,自然也成為了重點(diǎn)。單獨(dú)工作的風(fēng)力發(fā)電或者光伏發(fā)電都會(huì)因?yàn)橹車h(huán)境的波動(dòng),輸出功率發(fā)生極大的變化,而將二者合為一個(gè)系統(tǒng),即風(fēng)光互補(bǔ)發(fā)電系統(tǒng),能使兩種資源合理充分利用。如何在最大程度上充分發(fā)揮二者的協(xié)調(diào)控制,是判斷系統(tǒng)優(yōu)越的重要指標(biāo)。在提高系統(tǒng)性能的同時(shí),系統(tǒng)的成本問題也是必須考慮的。本文對風(fēng)光互補(bǔ)發(fā)電系統(tǒng)的控制策略和儲能容量優(yōu)化進(jìn)行了分析和研究。首先,對風(fēng)光互補(bǔ)發(fā)電系統(tǒng)的組成部件進(jìn)行了理論研究。其中風(fēng)力發(fā)電部分包括風(fēng)速、風(fēng)力機(jī)模型和風(fēng)力發(fā)電量的計(jì)算；光伏發(fā)電部分包括光伏發(fā)電原理和光伏發(fā)電量的計(jì)算；儲能部分包括常用儲能元件原理,并對比了它們的特點(diǎn)。其次,通過研究太陽能光伏發(fā)電和風(fēng)力發(fā)電最大功率的常用算法,根據(jù)它們的優(yōu)缺點(diǎn),提出一種變步長調(diào)整占空比的控制方法；分析了超級電容器與蓄電池混合使用,結(jié)果表明比單獨(dú)使用蓄電池儲能輸出性能強(qiáng)。最后,以系統(tǒng)能量損失率LPPP和能量缺失率LPSP作為可靠性指標(biāo),提出風(fēng)光互補(bǔ)儲能系統(tǒng)容量優(yōu)化模型,分析了系統(tǒng)能量損失率LPPP和能量缺失率LPSP的計(jì)算過程,給出目標(biāo)函數(shù)約束條件,并通過一種改進(jìn)遺傳算法對目標(biāo)函數(shù)求解。最后結(jié)合算例,按給定方法求解,得出本文所提出的控制方法能實(shí)現(xiàn)儲能容量優(yōu)化。
[Abstract]:With the development of economic society and the continuous progress of science and technology, more and more problems are exposed in the global resources and environment. From the point of view of the distribution of energy and the area of electricity load in China, the state proposes to use the renewable energy efficiently. The study of the efficient utilization of wind and solar energy has become a key point. The wind power generation or photovoltaic power generation will change the output power greatly because of the fluctuation of the surrounding environment, and combining the two people into a system, that is, the wind and scenery complementary power generation system, can make the two resources fully utilized. How to maximize the coordination control of the two, is an important index to judge the superiority of the system. At the same time, the cost problem of the system must be considered. In this paper, the control strategy and energy storage capacity optimization of the wind and solar power generation system are analyzed and studied. First, the component parts of the wind and wind complementary power generation system are theoretically studied. The photovoltaic generation part includes the principle of photovoltaic power generation and the calculation of the photovoltaic power generation; the energy storage part includes the principle of common energy storage components, and compares their characteristics. Secondly, by studying the common algorithms of solar photovoltaic power generation and the maximum power of the wind power generation, according to their advantages and disadvantages, a variable step length adjustment is put forward. The control method of air ratio is analyzed, and the combination of supercapacitor and battery is analyzed. The results show that the energy storage and output performance of the battery is stronger than that of the single battery. Finally, the system energy loss rate LPPP and the energy loss rate LPSP are used as the reliability index, and the capacity optimization model of the wind and solar energy storage system is put forward, and the energy loss rate LPPP and energy of the system are analyzed. The calculation process of the loss rate LPSP gives the constraint conditions of the objective function, and solves the target function by an improved genetic algorithm. Finally, a given method is solved by a given example, and the control method proposed in this paper can achieve the energy storage capacity optimization.
【學(xué)位授予單位】：山西大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM61

【參考文獻(xiàn)】

相關(guān)期刊論文 前7條

1 劉霞;江全元;;風(fēng)光儲混合系統(tǒng)的協(xié)調(diào)優(yōu)化控制[J];電力系統(tǒng)自動(dòng)化;2012年14期

2 蔡國偉;孔令國;潘超;楊德友;孫正龍;;風(fēng)光儲聯(lián)合發(fā)電系統(tǒng)的建模及并網(wǎng)控制策略[J];電工技術(shù)學(xué)報(bào);2013年09期

3 王建彬;楊宜民;甘璐;;基于改進(jìn)遺傳算法的風(fēng)／光互補(bǔ)發(fā)電系統(tǒng)電壓無功控制[J];控制理論與應(yīng)用;2008年01期

4 林閩;張艷紅;修強(qiáng);熱孜望;;風(fēng)光互補(bǔ)路燈控制系統(tǒng)的設(shè)計(jì)[J];可再生能源;2011年06期

5 張雪焱;楊波;;煤礦風(fēng)光互補(bǔ)LED路燈系統(tǒng)設(shè)計(jì)及實(shí)現(xiàn)[J];煤炭技術(shù);2012年10期

6 周世瓊;康龍?jiān)?曹秉剛;程苗苗;;太陽能電動(dòng)汽車儲能系統(tǒng)的優(yōu)化配置[J];太陽能學(xué)報(bào);2008年10期

7 廖志凌;阮新波;;任意光強(qiáng)和溫度下的硅太陽電池非線性工程簡化數(shù)學(xué)模型[J];太陽能學(xué)報(bào);2009年04期

，

本文編號：2053871