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An improved MPPT control strategy based on incremental conductance method

机译:基于增量电导法的改进的MPPT控制策略

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摘要

Photovoltaic cells efficiency can be effectively improved by maximum power point tracking (MPPT) technology. An improved MPPT control strategy is proposed to solve the current problems of poor convergence speed and accuracy of incremental conductance method. In this method, the P–U characteristic curve is divided into three sections: non-MPP sections, MPP-like section and MPP sections. In the non-MPP section, the constant voltage method is adopted to reduce the tracking time. In the MPP-like section, the incremental conductance method is adopted and its step size is improved, which effectively reduces the tracking time. In MPP section, particle swarm algorithm is adopted to improve tracking accuracy. Taking light intensity and temperature variation as examples, the proposed method and the traditional method are simulated respectively. Simulation results show that compared with the constant voltage method, the accuracy can be improved by more than 4% when the temperature or light intensity is changed, while maintaining the tracking speed. Compared with the traditional incremental conductivity method, the method can reduce the tracking time by 33% and improve the tracking accuracy by 1% when the light intensity or temperature changes.
机译:通过最大功率点跟踪(MPPT)技术可以有效地改善光伏电池效率。提出了一种改进的MPPT控制策略,以解决收敛速度差的当前问题和增量电导法的准确性。在该方法中,P-U特性曲线分为三个部分:非MPP部分,类似MPP部分和MPP部分。在非MPP部分中,采用恒定电压方法来减少跟踪时间。在MPP样部分中,采用增量电导方法,并提高了步长,从而有效地降低了跟踪时间。在MPP部分中,采用粒子群算法来提高跟踪精度。采用光强度和温度变化作为示例,分别模拟所提出的方法和传统方法。仿真结果表明,与恒定电压法相比,当温度或光强度发生变化时,可以提高精度超过4%,同时保持跟踪速度。与传统的增量电导率法相比,该方法可以将跟踪时间减少33%,当光强度或温度变化时,将跟踪精度提高1%。

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