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Title: Dynamic Modeling Analysis of Direct-Coupled Photovoltaic Power Systems

Abstract

Photovoltaic (PV) cells utilization is getting more attention due to the depletion of the world's natural resources and the increased progress in power electronics and semiconductor technologies. The first step to analyze and study a PV power system is to develop a model that is capable of providing an accurate prediction for the system's performance at different operating conditions. The availability of precise models for PV systems in hand allows the designers, operators, and researchers to predict, optimize, and evaluate the behavior of the system under different dynamics amid the development, which is very helpful for design and control purpose. Additionally, these models help to investigate the interaction between the PV system and other connected networks. Therefore, this chapter presents a general mathematical dynamic modeling technique for direct-coupled PV power systems. The nonlinear mathematical formulas for each component in the system are derived, and the connection among the different components is addressed. The modeling approach is applied to two different direct-coupled PV systems: grid-connected and stand-alone system. The accuracy of the developed models was verified based on the simulation and experimental data. The results demonstrate the ability of the proposed models for predicting the system performance under different environmental andmore » operating conditions.« less

Authors:
ORCiD logo [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1559771
Report Number(s):
NREL/CH-5400-74712
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Book
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 30 DIRECT ENERGY CONVERSION; photovoltaic cells; modeling; direct-coupled PV power systems

Citation Formats

Mohamed, Ahmed A. Dynamic Modeling Analysis of Direct-Coupled Photovoltaic Power Systems. United States: N. p., 2019. Web. doi:10.1007/978-3-030-05578-3_17.
Mohamed, Ahmed A. Dynamic Modeling Analysis of Direct-Coupled Photovoltaic Power Systems. United States. doi:10.1007/978-3-030-05578-3_17.
Mohamed, Ahmed A. Wed . "Dynamic Modeling Analysis of Direct-Coupled Photovoltaic Power Systems". United States. doi:10.1007/978-3-030-05578-3_17.
@article{osti_1559771,
title = {Dynamic Modeling Analysis of Direct-Coupled Photovoltaic Power Systems},
author = {Mohamed, Ahmed A},
abstractNote = {Photovoltaic (PV) cells utilization is getting more attention due to the depletion of the world's natural resources and the increased progress in power electronics and semiconductor technologies. The first step to analyze and study a PV power system is to develop a model that is capable of providing an accurate prediction for the system's performance at different operating conditions. The availability of precise models for PV systems in hand allows the designers, operators, and researchers to predict, optimize, and evaluate the behavior of the system under different dynamics amid the development, which is very helpful for design and control purpose. Additionally, these models help to investigate the interaction between the PV system and other connected networks. Therefore, this chapter presents a general mathematical dynamic modeling technique for direct-coupled PV power systems. The nonlinear mathematical formulas for each component in the system are derived, and the connection among the different components is addressed. The modeling approach is applied to two different direct-coupled PV systems: grid-connected and stand-alone system. The accuracy of the developed models was verified based on the simulation and experimental data. The results demonstrate the ability of the proposed models for predicting the system performance under different environmental and operating conditions.},
doi = {10.1007/978-3-030-05578-3_17},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {7}
}

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