基于峰值功率估计的TCT光伏阵列动态重构方法

Dynamic Reconfiguration Method of TCT Photovoltaic Array Based on Peak Power Evaluation

为了解决局部阴影遮挡引起总交叉绑定型(total-cross-tied,TCT)光伏阵列电流失配导致的输出功率损失、热斑效应问题,该文通过探究TCT光伏阵列的功率运行特性提出了一种基于峰值功率估计的动态重构方法。该方法基于新的峰值功率估计(peak power evaluation,PPE)理论采用遗传算法将其应用在TCT光伏阵列功率优化重构的求解中。峰值功率估计理论仅需要光伏阵列的额定参数和光辐照度,就可以快速、准确计算出光伏阵列的最大功率运行点,解决了现有方法仅依靠直接功率估计原理导致功率估计精度低的问题,从而提升了光伏阵列功率优化重构的效率。在长方形、三角形、梯形阴影遮挡场景中进行仿真分析,证明了该方法对最大功率估计误差小于1%,进而能有效提升光伏阵列的输出功率。

In order to solve the output power loss and hot spot effect caused by the current mismatch of the TCT(Total-Cross-Tied) photovoltaic array due to the partial shadow occlusion, a dynamic reconstruction based on the peak power evaluation is proposed through exploring the power operation characteristics of the TCT photovoltaic array. Based on the new peak power evaluation(PPE) theory, this method solves the power optimization and reconstruction of the TCT photovoltaic array by using the genetic algorithm. The peak power evaluation theory can quickly and accurately calculate the maximum power operation point of the photovoltaic array with the rated parameters and irradiance of the photovoltaic array,eliminating the problem of low power evaluation accuracy caused by the existing methods only relying on the direct power evaluation principle, so as to improve the efficiency of power optimization and reconstruction of the photovoltaic array. The simulation analysis in rectangular, triangular and trapezoidal shadow occlusion scenes shows that the maximum power evaluation error of this method is less than 1%, which can effectively improve the output power of photovoltaic array.