DOI: https://doi.org/10.61435/ijred.2025.61125

A new energy frequency adjustment model based on adaptive power control optimization algorithm for photovoltaic power generation systems

System Operation Department, Yunnan Power Grid Company Ltd., Kunming, 650217, China

Received: 12 Feb 2025; Revised: 26 Jun 2025; Accepted: 10 Jul 2025; Available online: 20 Jul 2025; Published: 1 Sep 2025.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2025 The Author(s). Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

With the low-carbon transformation of the global energy structure, photovoltaic power generation, as one of the renewable energy sources, continues to expand its installed capacity and grid connection scale. However, traditional photovoltaic power generation systems mainly use constant power output algorithms, which make it difficult to effectively handle complex situations such as sudden load changes or power shortages during dynamic adjustment, and can easily cause frequency exceeding standards or even system instability. Therefore, this paper proposes a new energy frequency adjustment model based on Newton's quadratic interpolation method. Firstly, this study constructs a new energy frequency regulation model for the adaptive power control optimization algorithm of photovoltaic power generation systems and then conducts a detailed analysis of the model. The results showed that when load 2 was cut off, the highest frequency of the research model could reach 52.50 Hz, while the highest frequency value of the traditional frequency regulation model was only 48.46 Hz. This indicated that the research model had better frequency regulation performance when dealing with large load fluctuations. In the photovoltaic power generation system, when there was a power deficit, the output power of the new energy frequency regulation model based on the adaptive power control optimization algorithm was reduced by 0.032 MW. The output power of the traditional rated regulation model was reduced by 0.029 MW. Overall, the frequency regulation performance and stability of the system were improved. It is of great significance to solve the challenges faced by photovoltaic power generation systems.

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Keywords: Photovoltaic power generation system; Adaptive; P&O power control algorithm; Newton's quadratic interpolation method; New energy

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Section: Original Research Article
Language : EN
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