...
首页> 外文期刊>Energies >Comparison of Extremum-Seeking Control Techniques for Maximum Power Point Tracking in Photovoltaic Systems
【24h】

Comparison of Extremum-Seeking Control Techniques for Maximum Power Point Tracking in Photovoltaic Systems

机译:光伏系统中最大功率点跟踪的极值搜索控制技术的比较

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Due to Japan’s recent nuclear crisis and petroleum price hikes, the search for renewable energy sources has become an issue of immediate concern. A promising candidate attracting much global attention is solar energy, as it is green and also inexhaustible. A maximum power point tracking (MPPT) controller is employed in such a way that the output power provided by a photovoltaic (PV) system is boosted to its maximum level. However, in the context of abrupt changes in irradiance, conventional MPPT controller approaches suffer from insufficient robustness against ambient variation, inferior transient response and a loss of output power as a consequence of the long duration required of tracking procedures. Accordingly, in this work the maximum power point tracking is carried out successfully using a sliding mode extremum-seeking control (SMESC) method, and the tracking performances of three controllers are compared by simulations, that is, an extremum-seeking controller, a sinusoidal extremum-seeking controller and a sliding mode extremum-seeking controller. Being able to track the maximum power point promptly in the case of an abrupt change in irradiance, the SMESC approach is proven by simulations to be superior in terms of system dynamic and steady state responses, and an excellent robustness along with system stability is demonstrated as well.
机译:由于日本最近发生核危机和石油价格上涨,寻找可再生能源已成为当务之急。太阳能是绿色环保且取之不尽用之不竭的工程,它是吸引全球关注的一个有前途的候选人。采用最大功率点跟踪(MPPT)控制器,以使光伏(PV)系统提供的输出功率提升到最大水平。但是,在辐照度突然变化的情况下,由于跟踪过程所需的时间长,传统的MPPT控制器方法承受的环境变化的鲁棒性不足,瞬态响应较差,并且输出功率也有所损失。因此,在这项工作中,成功地使用滑模极值搜索控制(SMESC)方法进行了最大功率点跟踪,并通过仿真比较了三个控制器的跟踪性能,即极值搜索控制器,正弦曲线极值搜寻控制器和滑模极值搜寻控制器。能够在辐照度突然变化的情况下迅速跟踪最大功率点,通过仿真证明了SMESC方法在系统动态和稳态响应方面具有优越性,并证明了出色的鲁棒性和系统稳定性好。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号