Analytical model of mismatched photovoltaic fields by means of Lambert W-function

Petrone, G.; Spagnuolo, G.; Vitelli, M.

doi:10.1016/j.solmat.2007.05.021

Cited by 189 publications

(127 citation statements)

References 5 publications

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“…To evaluate the P-V characteristic of a PV array different PV models have been proposed in literature: simplified fast models exhibiting [12], accurate models with long processing times (named Complex) [13], and balanced models with high accuracy but medium processing times (named Tradeoff) [1]. The performances of such models were tested in [1], where the Tradeoff model provides the best balance between accuracy and processing speed: Fast model introduces errors up to 5 %, which could lead to a wrong selection of the optimal configuration; while Tradeoff and Complex models introduce errors smaller than 0.1 %, which is acceptable.…”

Section: Figure 3 Pv String Under Mismatched Conditionsmentioning

confidence: 99%

Reconfiguration of photovoltaic arrays based on genetic algorithm

Camarillo-Peñaranda

Ramírez-Quiroz

Montoya

et al. 2015

Rev. Fac. Ing. Antioquia

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This paper describes a Genetic Algorithm (GA) implementation devoted to the calculation of reconfiguration patterns for Photovoltaic Arrays (PVs). The proposed solution is compared with the classical Brute Force (BF) approach, which use is very restrictive due to its long processing times. The GA tuning up process is described, and several cases of study, including partial shading profiles for the PV array, are presented. Results show a very superior performance of the GA, when compared to the BF approach. Improvements in output power, as a result of the calculated reconfiguration, are also shown.----------Keywords: reconfiguration of PV systems, genetic algorithm, online optimization ResumenEste artículo describe una implementación de un algoritmo genético orientada al cálculo de patrones de reconfiguración de arreglos fotovoltaicos. La solución propuesta se compara con el enfoque clásico de fuerza bruta, el cual es muy restrictivo debido a sus tiempos de procesamiento excesivamente largos. Se describe el proceso de puesta punto del algoritmo y se presentan varios casos de estudio, incluyendo perfiles de sombreado parcial para el arreglo fotovoltaico. Los resultados muestran un desempeño muy superior del algoritmo genético en contraste con el enfoque de fuerza bruta. También se presentan las mejoras obtenidas en la potencia de salida como resultado del patrón de reconfiguración calculado.----------Palabras clave: reconfiguración de sistemas PV, algoritmo genético, optimización en línea

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Section: Figure 3 Pv String Under Mismatched Conditionsmentioning

confidence: 99%

Reconfiguration of photovoltaic arrays based on genetic algorithm

Camarillo-Peñaranda

Ramírez-Quiroz

Montoya

et al. 2015

Rev. Fac. Ing. Antioquia

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“…The overall efficiency of photovoltaic systems dramatically decreases due to panel mismatching [16,17], switching losses in the PV inverter [18,19], maximum power extraction losses [20], and cable conduction losses [21,22]. The power losses become important in complex photovoltaic configurations, like those integrated in roofs and facades, or in large PV systems.…”

Section: Open Accessmentioning

confidence: 99%

Transient Analysis of Large Scale PV Systems with Floating DC Section

et al. 2012

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Abstract:The increasing penetration of renewable sources with power-electronic interfaces in power systems is raising technical problems and the overall efficiency of photovoltaic systems can decrease dramatically. In this context, the optimal layout for the photovoltaic system is required. The most adequate strategy to connect the renewable system to the electrical power grid or to supply the end users must be adopted. The present paper proposes a design layout of a PV plant using a DC bus system to improve the overall energy conversion efficiency. An analysis of steady-state system stability, voltage drop and DC cable conduction losses is conducted. The leakage currents to the ground are investigated through simulations. Experimental results are shown focused on the analysis of optimal layout of photovoltaic systems under particular operating conditions.

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“…Tradicionalmente, se utiliza un algoritmo de búsqueda del MPP (denominado algoritmo MPPT) que maximiza la potencia de todo el arreglo PV. Ese esquema se conoce como sistema centralizado [11], e.g. Fig.…”

Section: Introductionunclassified

Modelo matemático de sistemas fotovoltaicos para búsqueda distribuida del punto de máxima potencia

Henao‐Bravo

Márquez-Viloria

Villegas-Ceballos

et al. 2016

TecnoL.

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Este articulo presenta un modelo para sistemas de generación fotovoltaica orientado a evaluar el desempeño de algoritmos distribuidos de búsqueda del punto de máxima potencia. El modelo considera la conexión en serie de n conjuntos módulo-convertidor que pueden ser dimensionados dependiendo de la aplicación en particular. Dicho modelo está compuesto por un conjunto de ecuaciones que pueden ser implementadas en cualquier software de cálculo matemático o en un lenguaje de programación que soluciones este tipo de ecuaciones. El modelo incluye el comportamiento estático del módulo fotovoltaico a partir de una ecuación que estima su relación voltaje-corriente, además, incluye el modelo del convertidor elevador de potencia con pérdidas en el inductor, esto con el fin de aproximar el modelo general a una solución realística de la aplicación. El modelo final es validado mediante simulaciones y comparado con una implementación del mismo en un software de simulación electrónica tradicional.

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Analytical model of mismatched photovoltaic fields by means of Lambert W-function

Cited by 189 publications

References 5 publications

Reconfiguration of photovoltaic arrays based on genetic algorithm

Reconfiguration of photovoltaic arrays based on genetic algorithm

Transient Analysis of Large Scale PV Systems with Floating DC Section

Modelo matemático de sistemas fotovoltaicos para búsqueda distribuida del punto de máxima potencia

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