单开关控制风光互补发电系统的控制策略研究
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摘要
传统风光互补发电系统大多采用两个DC/DC变换器或者将风力发电机得到的交流电整流后与太阳能电池板并联作为DC/DC变换器的输入,本文提出了一个新型风光互补发电系统,采用太阳能电池板输出与风力发电机整流输出串联的方式,通过一个Buck/Boost电路向蓄电池充电。通过MATLAB仿真分析,提出了扫描法与扰动观察法(P&O,Perturbation and observation method)相结合的MPPT控制方法,结合蓄电池充放电工作特点,采用了恒压与恒流综合控制的充电策略,实验结果验证了该方法的有效性。
Two DC/DC converters are often used in traditional wind-photovoltaic hybrid generation system or the output of PV panels and wind powered generation after rectification are connected in parallel.A new wind-photovoltaic hybrid generation system is proposed in this paper. The output of PV panels and wind powered generation after rectification are connected in series and they charge the battery through a Buck/Boost converter. A maximum power point tracking(MPPT) control strategy combining scanning method and P&O method is proposed,and verified in MATLAB. Considering the charging and discharging characteristic of the battery,a charging method where constant voltage mode and constant current mode are both valid is also adopted,and the experiment results demonstrate the validity of the method.
Two DC/DC converters are often used in traditional wind-photovoltaic hybrid generation system or the output of PV panels and wind powered generation after rectification are connected in parallel.A new wind-photovoltaic hybrid generation system is proposed in this paper. The output of PV panels and wind powered generation after rectification are connected in series and they charge the battery through a Buck/Boost converter. A maximum power point tracking(MPPT) control strategy combining scanning method and P&O method is proposed,and verified in MATLAB. Considering the charging and discharging characteristic of the battery,a charging method where constant voltage mode and constant current mode are both valid is also adopted,and the experiment results demonstrate the validity of the method.
引文
[1]李翠萍,卓君武,李军徽,等.光伏发电与风光联合发电系统输出特性分析[J].电网与清洁能源,2017,33(1):95-102.
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[6]李源启,陈雪亮,李巍,等.基于几何平均数的风光互补发电系统MPPT控制策略研究[J].船电技术,2017,37(9):14-16.
[7]经琦,刘贤兴,施凯,等.风光互补发电系统设计及最大功率点跟踪控制[J].电力电子技术,2015,49(1):63-66.
[8]杨东海,刘洋,王毅,等.基于二进制蚁群模糊神经网络的光伏系统MPPT控制算法研究[J].电气工程学报,2017,12(6):41-46.
[9]李帅,毕大强,任先文.基于BP神经网络的复杂光照条件下光伏列阵MPPT控制研究[J].电气开关,2016,54(6):66-71.
[10]葛超铭,李少纲.风光互补发电系统MPPT及其逆变电源控制的研究[J].电工电气,2013(2):6-9.
[11]牛欢欢,郑喻.基于MPPT的小型风光互补系统控制策略的研究[J].电气开关,2015,53(5):38-40.
[12]云珂,杨舟,杨东升,等.光伏系统MPPT方法的分析比较与改进[J].电力学报,2015(2):111-116.
[2]李鹏雁,孙硕.基于学习曲线的西北地区光伏发电成本分析[J].节能技术,2017,35(5):469-474.
[3]王明,吴晓玮,张寓涵,等.基于随机出力的风光联合出力算法及应用研究[J].电网与清洁能源,2017,33(11):101-104.
[4]齐志远,王生铁,田桂珍.风光互补发电系统的协调控制[J].太阳能学报,2010,31(5):654-660.
[5]刘立群,王志新,顾临峰.基于改进模糊法的分布式风光互补发电系统MPPT控制[J].电力系统保护与控制,2011,39(15):70-74.
[6]李源启,陈雪亮,李巍,等.基于几何平均数的风光互补发电系统MPPT控制策略研究[J].船电技术,2017,37(9):14-16.
[7]经琦,刘贤兴,施凯,等.风光互补发电系统设计及最大功率点跟踪控制[J].电力电子技术,2015,49(1):63-66.
[8]杨东海,刘洋,王毅,等.基于二进制蚁群模糊神经网络的光伏系统MPPT控制算法研究[J].电气工程学报,2017,12(6):41-46.
[9]李帅,毕大强,任先文.基于BP神经网络的复杂光照条件下光伏列阵MPPT控制研究[J].电气开关,2016,54(6):66-71.
[10]葛超铭,李少纲.风光互补发电系统MPPT及其逆变电源控制的研究[J].电工电气,2013(2):6-9.
[11]牛欢欢,郑喻.基于MPPT的小型风光互补系统控制策略的研究[J].电气开关,2015,53(5):38-40.
[12]云珂,杨舟,杨东升,等.光伏系统MPPT方法的分析比较与改进[J].电力学报,2015(2):111-116.