Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

<Previous Article In Volume
Next Article In Volume>

Systematic Study of Renewable Energy Power Generation Simulation Technology

Authors
Zhengyu Zhao1, *
1School of electrical engineering, Shandong University, Shandong, China
*Corresponding author. Email: 202200190166@mail.sdu.edu.cn
Corresponding Author
Zhengyu Zhao
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_29How to use a DOI?
Keywords
Rnewable Energy Power Generation; Simulation Technology; Maximum Power Point Tracking (MPPT) Algorithm; Doubly-Fed Induction Generator (DFIG)
Abstract

This study examines the simulation techniques for renewable energy generation, with a focus on the Maximum Power Point Tracking (MPPT) algorithms in photovoltaic (PV) systems and the simulation models of Doubly-Fed Induction Generators (DFIG) in wind power systems. The research reveals that optimized MPPT algorithms can significantly enhance the efficiency of PV power generation by dynamically tracking the maximum power point under varying environmental conditions. Additionally, accurate DFIG models improve the operational stability and control performance of wind power systems, particularly in complex grid environments. These findings provide valuable insights for the simulation design and performance optimization of renewable energy systems, offering a robust theoretical basis and practical guidance. The results are expected to contribute to the advancement and large-scale deployment of renewable energy technologies, supporting the transition towards sustainable energy systems. Future work will explore multi-energy coordinated simulation and intelligent control strategies to further enhance the integration and stability of renewable energy systems.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_29How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zhengyu Zhao
PY  - 2025
DA  - 2025/08/31
TI  - Systematic Study of Renewable Energy Power Generation Simulation Technology
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 261
EP  - 269
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_29
DO  - 10.2991/978-94-6463-821-9_29
ID  - Zhao2025
ER  -