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首页> 外文会议>2010 the 5th IEEE Conference on Industrial Electronics and Applications >Photovoltaic system with voltage-based maximum power point tracking using support vector machine
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Photovoltaic system with voltage-based maximum power point tracking using support vector machine

机译：使用支持向量机的基于电压的最大功率点跟踪的光伏系统

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摘要

A novel approach for maximum power tracking of photovoltaic power systems is presented in this paper. This maximum power point tracking controller is based on the theory of support vector machine (SVM) to estimate the solar insolation without any outdoor measurements. The inputs of SVM estimator are chosen as the photovoltaic output voltage and power. The proposed controller is robust to environmental changes of solar insolation and load variations. During the offline training, a specified function relates the inputs to the output is obtained. Then, solar insolation is determined on-line from the predicted off-line function and the instantaneous inputs. The performance of the controller is verified through simulation results at different insolation conditions. It is demonstrated that the proposed approach can be implemented effectively and economically. Simulations have been carried-out using PSIM software and the effectiveness of the proposed method is verified through simulations under various weather conditions.
机译：本文提出了一种用于光伏发电系统最大功率跟踪的新颖方法。该最大功率点跟踪控制器基于支持向量机（SVM）的理论，无需任何室外测量即可估算日照量。选择SVM估计器的输入作为光伏输出电压和功率。所提出的控制器对于日照和负载变化的环境变化具有鲁棒性。在离线训练期间，指定的功能会将输入与输出相关联。然后，根据预测的离线功能和瞬时输入值，在线确定日照量。通过在不同日照条件下的仿真结果验证了控制器的性能。结果表明，所提出的方法可以有效，经济地实施。使用PSIM软件进行了仿真，并通过在各种天气条件下的仿真验证了所提方法的有效性。

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