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机构地区:[1]南京铁道职业技术学院自动控制系,江苏苏州215137 [2]苏州大学电子信息学院,江苏苏州215006
出 处:《测控技术》2012年第7期130-135,共6页Measurement & Control Technology
基 金:江苏省2009年度高校科研成果产业化推广项目(JHZD09-49)
摘 要:组合典型MPPT算法以优化系统性能是光伏发电新的研究范式。针对传统单一MPPT算法无法兼顾动态性能和稳态性能问题,尝试将模糊控制技术和扰动观察法进行组合用于光伏发电MPPT控制,具体方法是当系统靠近功率曲线两端时采用扰动观察法跟踪,当系统位于最大功率点附近采用模糊控制技术跟踪。实验结果表明,组合控制算法能够根据系统所处状态准确地在扰动观察法和模糊控制算法之间切换,系统响应时间相对于模糊控制缩短了31%,稳态误差相对于扰动观察法减少了67%,系统性能显著提升。Combination of typical MPPT( maximum power point tracking) algorithm to optimize the photovohaic system performance has become a new research paradigm. Traditional single MPPT algorithm can not get excellent dynamic performance and excellent steady-state performance at same time. Two algorithms, that is, fuzzy logic control (FLC) and perturbation & observation (P&O) are combined to control photovoltaic MPPT. When the system works close to the ends of power curve, P&O will be used to describe the MPPT. When the system works near maximum power point, FLC will be used. The experimental results show that combination algorithm can switch accurately between P&O and FLC, and the response time of combination algorithm reduces by 31% in comparison with FLC algorithm, steady-state error reduces by 67% as contrast to P&O algorithm, and the system performance is greatly improved.
分 类 号:TM615[电气工程—电力系统及自动化]
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