Modeling and Optimal Sizing of a Standalone Photovoltaic System: An Application of Random Forests Technique and Numerical Algorithm - Couverture souple

Ibrahim, Ibrahim Anwar; Mohamed, Azah

 
9786137429631: Modeling and Optimal Sizing of a Standalone Photovoltaic System: An Application of Random Forests Technique and Numerical Algorithm
Couverture souple
ISBN 10 : 6137429636 ISBN 13 : 9786137429631
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

This book presents the development of new techniques for modeling and determining the optimal sizing of the standalone PV system. The research is implemented in two phases in which in the first phase, a novel approach is proposed for predicting the PV array performance using the Random Forests (RFs) technique. The developed RFs model predicts the output current of the PV array based on four inputs meteorological variables, namely, solar energy, ambient temperature, day number and daily hours. In the second phase, an improved numerical algorithm is developed for optimizing the energy sources in the standalone PV system. An optimization problem is formulated to minimize the total life cycle cost of the standalone PV system subject to specific availability level. Then an iterative numerical algorithm is used to generate different system configurations with different prices and availability levels based on the input meteorological and load demand data. The concept of loss of load probability (LLP) is employed to evaluate the availability of each generated configuration and then only configurations with the desired availability are nominated.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book presents the development of new techniques for modeling and determining the optimal sizing of the standalone PV system. The research is implemented in two phases in which in the first phase, a novel approach is proposed for predicting the PV array performance using the Random Forests (RFs) technique. The developed RFs model predicts the output current of the PV array based on four inputs meteorological variables, namely, solar energy, ambient temperature, day number and daily hours. In the second phase, an improved numerical algorithm is developed for optimizing the energy sources in the standalone PV system. An optimization problem is formulated to minimize the total life cycle cost of the standalone PV system subject to specific availability level. Then an iterative numerical algorithm is used to generate different system configurations with different prices and availability levels based on the input meteorological and load demand data. The concept of loss of load probability (LLP) is employed to evaluate the availability of each generated configuration and then only configurations with the desired availability are nominated.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
6137429636
ISBN 13 
9786137429631
Reliure
Broché
Nombre de pages
168
Coordonnées du fabricant
non disponible
Personne responsable
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