Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models-Reference-Cited by-同舟云学术

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Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models

Published:2020-01 Issue: Volume:203 Page:112138
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Liang Jing,Ge Shilei,Qu Boyang,Yu Kunjie^ORCID,Liu Fengjiao,Yang Haotian,Wei Panpan,Li Zhimeng

Funder

National Natural Science Foundation of China

Zhengzhou University of Light Industry

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference49 articles.

1. Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy;Chen;Appl Energy,2016

2. Performance evaluation of twin piezoelectric wind energy harvesters under mutual interference;Hu;Appl Phys Lett,2019

3. A new hybrid bee pollinator flower pollination algorithm for solar PV parameter estimation;Ram;Energy Convers Manage,2017

4. Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm;Xiong;Energy Convers Manage,2018

5. Parameters extraction of solar cell models using a modified simplified swarm optimization algorithm;Lin;Sol Energy,2017

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