基于滑??刂频墓夥l(fā)電MPPT控制
張濤,程帆,沈天驕,雷蕾,陳珉爍
(東南大學(xué) 電氣工程學(xué)院,江蘇 南京 210096)
摘 要:為了快速進(jìn)行最大功率點(diǎn)跟蹤控制,提高太陽(yáng)電池輸出效率,將滑??刂茟?yīng)用在光伏系統(tǒng)最大功率點(diǎn)跟蹤控制中,設(shè)計(jì)了基于光伏MPPT 控制的滑??刂破?。搭建太陽(yáng)電池組件模型及Boost 變換器和滑模MPPT 控制模型,并在MATLAB 仿真環(huán)境下進(jìn)行了仿真,結(jié)果表明采用滑模MPPT 控制可以快速地實(shí)現(xiàn)光伏系統(tǒng)的最大功率點(diǎn)跟蹤控制,縮短系統(tǒng)調(diào)整時(shí)間,減小超調(diào)量與穩(wěn)態(tài)誤差。
關(guān)鍵詞:光伏發(fā)電;Boost 變換器;滑模控制;最大功率點(diǎn)跟蹤控制
中圖分類(lèi)號(hào):TM615 文獻(xiàn)標(biāo)識(shí)碼:A 文章編號(hào):1007-3175(2017)05-0015-04
Maximum Power Point Tracking for Photovoltaic Systems with Sliding Mode Control
ZHANG Tao, CHENG Fan, SHEN Tian-jiao, LEI Lei, CHEN Min-shuo
(School of Electrical Engineering, Southeast University, Nanjing, 210096, China)
Abstract: In order to carry out the maximum power point tracking (MPPT) control and improve the output efficiency of solar battery, this paper used the sliding mode control in the photovoltaic system for MPPT control and designed the sliding mode controller based on photovoltaic MPPT control. The solar battery model was established, as well as the Boost converter and the sliding mode MPPT control model, and they were carried out simulation in MATLAB. The results show that the sliding mode MPPT control can quickly realize the MPPT for photovoltaic systems, shorten the adjustment time, and reduce the overshoot and steady-state errors.
Key words: photovoltaic generation; Boost converter; sliding mode control; maximum power point tracking
參考文獻(xiàn)
[1] 周文源,袁越,傅質(zhì)馨,等. 恒電壓結(jié)合牛頓法的光伏系統(tǒng)MPPT 控制[J]. 電力系統(tǒng)及其自動(dòng)化學(xué)報(bào),2012,24(6):6-9.
[2] 肖伸平,曾鈺,趙培哲. 改進(jìn)干擾觀測(cè)法在光伏發(fā)電系統(tǒng)MPPT中的應(yīng)用[J]. 新型工業(yè)化,2014,4(4):45-50.
[3] LIU F, DUAN S, LIU F, et al.A variable step size INC MPPT method for PV systems[J].IEEE Transactions on Industrial Electronics,2008,55(7):2622-2628.
[4] DATTA M, SENJYU T.Fuzzy control of distributed PV inverters energy storage systems electric vehicles for frequency regulation in a large power system[J].IEEE Transactions on Smart Grid,2013,4(1):479-488.
[5] 劉永軍,萬(wàn)頻,王東海,等. 自適應(yīng)模糊算法在光伏系統(tǒng)MPPT中的應(yīng)用[J]. 太陽(yáng)能學(xué)報(bào),2008,29(6):657-661.
[6] MESSALTI S, HARRAG A G, LOUKRIZ A E.A new neural networks MPPT controller for PV systems[C]//2015 6th International Renewable Energy Congress(IREC),2015.
[7] 周華安,孟志強(qiáng),王保田. 光伏發(fā)電系統(tǒng)MPPT固定頻率滑模控制[J]. 湖南大學(xué)學(xué)報(bào)( 自然科學(xué)版),2015,42(10):97-101.