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風(fēng)光互補(bǔ)發(fā)電系統(tǒng)最大功率控制策略的研究

發(fā)布時(shí)間:2018-05-21 18:12

  本文選題:風(fēng)光互補(bǔ)發(fā)電系統(tǒng)最大功率點(diǎn)跟蹤 + Matlab仿真 ; 參考:《長(zhǎng)春大學(xué)》2017年碩士論文


【摘要】:風(fēng)能、太陽能的最大功率點(diǎn)(MPP)捕獲已成為國(guó)內(nèi)外新能源領(lǐng)域的一大研究熱點(diǎn),最大功率點(diǎn)跟蹤(MPPT)算法,不僅可以提高光伏發(fā)電系統(tǒng)和風(fēng)電機(jī)組的電能輸出效率,加快系統(tǒng)響應(yīng)時(shí)間,而且MPPT算法的優(yōu)劣會(huì)直接影響到風(fēng)能和太陽能的利用率以及系統(tǒng)的安全性能,F(xiàn)階段,已經(jīng)被應(yīng)用到實(shí)際產(chǎn)品中的MPPT方法主要有擾動(dòng)觀察法、增量電導(dǎo)法和智能控制法等。數(shù)據(jù)表明,現(xiàn)有算法實(shí)際應(yīng)用中存在抗干擾能力差以及跟蹤速度慢等缺陷;诖,需要以解決算法缺陷為出發(fā)點(diǎn),提出一種新型的最大功率點(diǎn)跟蹤策略,使系統(tǒng)輸出效率更高、更穩(wěn)定、更快速;陲L(fēng)能和太陽能具備天然的互補(bǔ)特性,相比較獨(dú)立的風(fēng)力或光伏發(fā)電系統(tǒng),風(fēng)光互補(bǔ)發(fā)電系統(tǒng)可以在很大程度上降低了因天氣變化對(duì)系統(tǒng)造成的不利影響,使系統(tǒng)具備良好的輸出特性。本文重點(diǎn)分析了幾種常見的MPPT算法,總結(jié)不同算法的優(yōu)勢(shì)和劣勢(shì),在傳統(tǒng)控制算法的基礎(chǔ)上,加以改進(jìn),提出適于光伏發(fā)電系統(tǒng)的新型MPPT控制方法以及適于風(fēng)電機(jī)組的新型MPPT控制方法。對(duì)于光伏發(fā)電系統(tǒng),基于傳統(tǒng)CVT算法實(shí)際應(yīng)用中更易于實(shí)現(xiàn)的優(yōu)勢(shì),但該法容易受到外界環(huán)境等因素的影響,使系統(tǒng)跟蹤精度易受外界條件影響;诖,本文在傳統(tǒng)恒壓控制法(CVT)法基礎(chǔ)上加以改進(jìn),采用電壓優(yōu)化法使系統(tǒng)在任何條件下跟蹤到系統(tǒng)最大功率點(diǎn),很大程度上解決了系統(tǒng)跟蹤精度低的問題。對(duì)于風(fēng)力發(fā)電系統(tǒng),為實(shí)現(xiàn)風(fēng)力發(fā)電系統(tǒng)在任何風(fēng)速條件下,均具備較高的輸出效率,本文采用模糊擾動(dòng)MPPT方法來提高系統(tǒng)在各種風(fēng)速狀況下的小型風(fēng)電機(jī)組的輸出效率。本文采用的新型MPPT控制策略,雖然解決了傳統(tǒng)MPPT算法存在的一些缺陷并具備上述優(yōu)勢(shì),但系統(tǒng)輸出震動(dòng)仍在較大,為解決該問題,本文將免疫反饋響應(yīng)理論應(yīng)用于風(fēng)光互補(bǔ)發(fā)電系統(tǒng),通過仿真得到風(fēng)光互補(bǔ)發(fā)電系統(tǒng)輸出特性曲線,結(jié)果表明免疫反饋響應(yīng)理論的引入使系統(tǒng)輸出振幅減小,穩(wěn)定性有所增強(qiáng),系統(tǒng)供電可靠性大幅提升,創(chuàng)造出了良好的社會(huì)、經(jīng)濟(jì)效益。
[Abstract]:The maximum power point (MPP) capture of wind energy and solar energy has become a research hotspot in the field of new energy at home and abroad. The maximum power point tracking (MPPTT) algorithm can not only improve the power output efficiency of photovoltaic power generation system and wind turbine. Speed up the system response time, and the MPPT algorithm will directly affect the utilization of wind and solar energy, as well as the security performance of the system. At present, the MPPT methods which have been applied to practical products mainly include disturbance observation method, incremental conductance method and intelligent control method. The data show that the existing algorithms have some shortcomings such as poor anti-jamming ability and slow tracking speed. Based on this, a new maximum power point tracking strategy is proposed to improve the efficiency, stability and speed of the system. Based on the natural complementarities of wind and solar energy and the relatively independent wind or photovoltaic systems, wind and solar complementary power systems can significantly reduce the adverse effects of weather changes on the system, Make the system have good output characteristics. This paper analyzes several common MPPT algorithms, summarizes the advantages and disadvantages of different algorithms, and improves them on the basis of traditional control algorithms. A new MPPT control method for photovoltaic power generation system and a new MPPT control method for wind turbine are proposed. For photovoltaic power generation system, it is easier to realize based on the traditional CVT algorithm in practical application, but the method is easy to be affected by the external environment and other factors, so the tracking accuracy of the system is easy to be affected by the external conditions. Based on this, this paper improves on the traditional constant voltage control method and adopts the voltage optimization method to track the maximum power point of the system under any conditions. To a great extent, the problem of low tracking accuracy is solved. For wind power system, in order to achieve higher output efficiency of wind power system under any wind speed, fuzzy disturbance MPPT method is used to improve the output efficiency of small wind turbine under various wind speed conditions. The new MPPT control strategy adopted in this paper solves some defects of the traditional MPPT algorithm and has the advantages mentioned above, but the output vibration of the system is still large. In order to solve this problem, In this paper, the immune feedback response theory is applied to the wind-wind complementary power generation system, and the output characteristic curve of the wind-wind complementary power generation system is obtained by simulation. The results show that the immune feedback response theory can reduce the output amplitude and enhance the stability of the system. System power supply reliability has been greatly improved, creating a good social and economic benefits.
【學(xué)位授予單位】:長(zhǎng)春大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM61

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