基于遗传算法与模式搜索法组合的MPPT技术
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摘要
针对传统单一MPPT算法无法兼顾动态性和稳态性的问题,尝试将传统遗传算法与模式搜索法进行组合应用于光伏发电MPPT控制,技术原理是当系统靠近功率曲线两端时采用遗传算法跟踪,当系统位于最大功率点附近采用模式搜索法跟踪.通过MATLAB/Simulink仿真分析,分别对比研究了扰动观察法、电导增量法、模糊控制法与组合算法跟踪光伏发电最大功率的输出特性.研究结果表明,遗传算法和模式搜索法的组合算法与扰动观察法、电导增量法和模糊控制法等传统最大功率跟踪方法相比,具有响应速度快,控制精度高,稳定性良好等优点.
Aimed at the problem in traditional single maximum power point tracking(MPPT)algorithm that it can not take care of both dynamic performance and steady-state performance at the same time,it is tried to combine genetic algorithm(GA)and pattern search method(PS)together and apply them to MPPT control of photovoltaic power generation.The principle of this technique is as follows:When the system approaches to the ends of power curve,GA will be used to conduct the MPPT;when the system works close at maximum power point,PS will be used to track.Several tracking methods such as perturbation observation,conductance increment,fuzzy logic control,and combination of GA with PS are used for comparative study of tracking of maximum power output characteristics of photovoltaic power generation by means of simulation analysis with MATLAB/Simulink.The investigation result shows that compared with traditional tracking method for maximum power such as perturbation observation,conductance increment,and fuzzy control,the combination algorithm of GA with PS will have such advantage as fast response,high control precision,and fine stability.
Aimed at the problem in traditional single maximum power point tracking(MPPT)algorithm that it can not take care of both dynamic performance and steady-state performance at the same time,it is tried to combine genetic algorithm(GA)and pattern search method(PS)together and apply them to MPPT control of photovoltaic power generation.The principle of this technique is as follows:When the system approaches to the ends of power curve,GA will be used to conduct the MPPT;when the system works close at maximum power point,PS will be used to track.Several tracking methods such as perturbation observation,conductance increment,fuzzy logic control,and combination of GA with PS are used for comparative study of tracking of maximum power output characteristics of photovoltaic power generation by means of simulation analysis with MATLAB/Simulink.The investigation result shows that compared with traditional tracking method for maximum power such as perturbation observation,conductance increment,and fuzzy control,the combination algorithm of GA with PS will have such advantage as fast response,high control precision,and fine stability.
引文
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[9]赵小强,何智娥.基于改进混合遗传算法的水资源优化调度[J].兰州理工大学学报,2015,41(4):65-70.
[10]LI Y,YI J H,SALE D.Recent improvement of optimization methods in a tidal current turbine optimal design tool[M].Plymouth:Ocean Publishing,2012.
[2]冯垛生,王飞.太阳能光伏发电技术图解指南[M].北京:人民邮电出版社,2011.
[3]HOUSSAMO I,LOCEMENT F,SECHILARIU M.Maximum power tracking for photovoltaic power system:development and experimental comparison of two algorithms[J].Renewable Energy,2010,35:2381-2387.
[4]GHASSAMI A A,SADEGHZADEH S M.High performance maximum power point tracker for PV systems[J].Electrical Power and Energy Systems,2013,53:237-243.
[5]HUSSEIN K H,MUTA I,OSHIN T.Maximum photovolataic power tracking:an algorithm for rapidly changing atmospheric conditions[J].IEEE Proc Gener Transmision Distribution,1995,142:59-64.
[6]LOKANADHAM M,BHASKAR K V.Incremental conductance based maximum power point tracking(MPPT)for phtovoltais system[J].International Journal of Engineering Research and Applications(IJERA),2012,2:13-19.
[7]ZOU Y,ZHANG Y,LU J.MPPT control for PV generation system based on an improved Inccond algorithm[J].Procedia Engineering,2012,29:105-109.
[8]GOLDBERG D.Genetic algorithm in search,optimization and machine learning[M].New Jersey:Addison Wesley,1992.
[9]赵小强,何智娥.基于改进混合遗传算法的水资源优化调度[J].兰州理工大学学报,2015,41(4):65-70.
[10]LI Y,YI J H,SALE D.Recent improvement of optimization methods in a tidal current turbine optimal design tool[M].Plymouth:Ocean Publishing,2012.