Research on MPPT control strategy based on CCAOA algorithm-Reference-Cited by-同舟云学术

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Research on MPPT control strategy based on CCAOA algorithm

Published:2024-06-24 Issue: Volume: Page:1-21
ISSN:0020-7217
Container-title:International Journal of Electronics
language:en
Short-container-title:International Journal of Electronics

Author:

Xiao Yiping¹²,Shen Zongtao¹,Jiao Hongjian¹,Zhao Yunfeng¹

Affiliation:

1. School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China

2. Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, China

Funder

Hubei Provincial Natural Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207217.2024.2370903

Reference27 articles.

1. An improved genetic algorithm based fractional open circuit voltage MPPT for solar PV systems

2. Maximum Power Point Tracking of PV Systems under Partial Shading Conditions Based on Opposition-Based Learning Firefly Algorithm

3. Evaluation of several initialization methods on arithmetic optimization algorithm performance

4. Arithmetic optimization algorithm based maximum power point tracking for grid-connected photovoltaic system

5. Hardware-In-the-Loop Validation of Direct MPPT Based Cuckoo Search Optimization for Partially Shaded Photovoltaic System

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