Parameter Identification Algorithm for Grid-Connected Photovoltaic Power Generation System Based on Extended Kalman Filter-Reference-Cited by-同舟云学术

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Parameter Identification Algorithm for Grid-Connected Photovoltaic Power Generation System Based on Extended Kalman Filter

Published:2023-05-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Power Science and Technology (ICPST)
language:
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Author:

Li Chun¹,Shi Haifeng²,Wang Keding¹,Shen Jun²,Zheng Di³

Affiliation:

1. State Grid Zhejiang Electric Power Corporation Limited,Jiaxing Power Supply Company,Jiaxing,China

2. State Grid Zhejiang Electric Power Corporation Limited,Haining Power Supply Company,Haining,China

3. China Jiliang University,College of Mechanical and Electrical Engineering,Hangzhou,China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164831/10164814/10165311.pdf?arnumber=10165311

Reference16 articles.

1. Photovoltaic MPPT control based on improved perturbation observation method;zhang;Mechanical and Electrical Information,2023

2. Design of 100kW photovoltaic power generation simulator and its application in Microgrid;bi;Electronic Technology and Software Engineering,2022

3. Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy

4. Modeling and Parameter identification of photovoltaic power generation for electromechanical transient Analysis;cui;Master Northeastern University,2022

5. The Application and Analysis of grid-connected Technology of distributed photovoltaic power generation System;tan;Theoretical Research in Urban Construction (electronic edition),2023

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