Authors

Abstract

Maximum power point tracking (MPPT) strategy has been performed by experimental simulation and measurement in order to minimize the energy loss for photovoltaic greenhouse projects. Calculations and simulation of power prediction algorithm were carried out for obtaining the suitable parameters and duty cycle of the fuzzy control algorithm, to modulate output power in real-time. Experiments were carried out to evaluate the performance by using simulation and measurement involving corresponding circuits. Results of experiments demonstrate that the proposed method in this paper can achieve quicker response and less power loss than traditional method. The proposed algorithm can be adopted and optimized by carrying out further experiments for increasing the efficiency of solar energy utilization.

Abstract in Chinese

为了使光伏温室项目的能量损失最小化,通过实验仿真和测量来实现最大功率点跟踪策略。研究中采用了功率预测算法和模糊控制算法相结合的方法。为能实时调节输出功率，进行功率预测计算和仿真，得到模糊控制算法的合理参数并输出合适的占空比，以实现功率最大化。并通过对相应电路的仿真和测量，对其性能进行实验评价。实验结果表明，本文提出的方法比传统方法具有更快的响应时间和更小的功耗。为提高太阳能利用效率，本文提出的算法可以通过进一步的实验加以采用和优化