Gradient-based optimization with ranking mechanisms for parameter identification of photovoltaic systems

Gradient-based optimization with ranking mechanisms for parameter identification of photovoltaic systems

Deriving optimal photovoltaic (PV) models’ optimal parameters have tremendous significance in simulating, evaluating, and controlling the photovoltaic systems. Determining unknown parameters of these PV models is a multimodal, nonlinear, and complex optimization problem. Hence, developing a robust o...

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Bibliographic Details
Main Authors: Iman Ahmadianfar, Wenyin Gong, Ali Asghar Heidari, Noorbakhsh Amiri Golilarz, Arvin Samadi-Koucheksaraee, Huiling Chen
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Energy Reports
Subjects:
Photovoltaic models
Parameter identification
Gradient-based optimizer
Optimization
Swarm intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484721004315

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