光伏系统
计算
非线性系统
还原(数学)
拐点
控制重构
电压
算法
控制理论(社会学)
线性化
功能(生物学)
计算机科学
数学
工程类
物理
电气工程
几何学
控制(管理)
量子力学
人工智能
进化生物学
生物
嵌入式系统
作者
Juan David Bastidas‐Rodríguez,Carlos Andrés Ramos‐Paja,Andrés Julián Saavedra‐Montes
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2023-06-22
卷期号:16 (13): 4875-4875
被引量:1
摘要
Dynamic reconfiguration, the monitoring of power production, and the fault diagnosis of photovoltaic arrays, among other applications, require fast and accurate models of photovoltaic arrays. In the literature, some models use the Lambert-W function to represent each module of the array, which increases the calculation time. Other models that use implicit equations to avoid the Lambert-W function do not use the inflection voltages to simplify the system of nonlinear equations that represent the array, increasing the computational burden. Therefore, this paper proposes mathematical models for series-parallel (SP) and total-cross-tied (TCT) photovoltaic arrays based on the implicit equations of the single-diode model and the inflection points of the current–voltage curves. These models decrease the calculation time by reducing the complexity of the nonlinear equation systems that represent each string of SP arrays and the whole TCT. Consequently, the calculation process that solves the model speeds up in comparison with processes that solve traditional explicit models based on the Lambert-W function. The results of several simulation scenarios using the proposed SP model with different array sizes show a reduction in the computation time by 82.97% in contrast with the traditional solution. Additionally, when the proposed TCT model for arrays larger than 2×2 is used, the reduction in the computation time is between 47.71% and 92.28%. In dynamic reconfiguration, the results demonstrate that the proposed SP model provides the same optimal configuration but 7 times faster than traditional solutions, and the TCT model is solved at least 4 times faster than classical solutions.
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