Research on MPPT Control of a Direct-Drive Wave Energy Converter Based on Adaptive Perturbation Observation Method

As an efficient wave energy conversion technology, direct-drive wave energy converters (WECs) have attracted extensive attention. Due to the highly unstable and nonlinear nature of the wave energy environment, effectively capturing maximum power from the wave is crucial to improve system efficiency. In this paper, an adaptive perturbation observation (APO) method is proposed, which dynamically adjusts the perturbation step size by introducing adaptive strategy, so that the system can track the maximum power point more quickly and stably. Simulation results demonstrates that the algorithm not only improves the tracking speed, but also effectively reduces the oscillation and energy loss of the system.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1109/aeees64634.2025.11019001
Primary Topic
Wave and Wind Energy Systems
Type
article
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article

Research on MPPT Control of a Direct-Drive Wave Energy Converter Based on Adaptive Perturbation Observation Method

Ruixian Wang, Hailian Jing, Linlin Li, Hongyu Zhu
Wave and Wind Energy Systems
article

Research on MPPT Control of a Direct-Drive Wave Energy Converter Based on Adaptive Perturbation Observation Method

Ruixian Wang, Hailian Jing, Linlin Li, Hongyu Zhu
article en

Abstract

As an efficient wave energy conversion technology, direct-drive wave energy converters (WECs) have attracted extensive attention. Due to the highly unstable and nonlinear nature of the wave energy environment, effectively capturing maximum power from the wave is crucial to improve system efficiency. In this paper, an adaptive perturbation observation (APO) method is proposed, which dynamically adjusts the perturbation step size by introducing adaptive strategy, so that the system can track the maximum power point more quickly and stably. Simulation results demonstrates that the algorithm not only improves the tracking speed, but also effectively reduces the oscillation and energy loss of the system.

Chengdu University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 83%
Wave and Wind Energy Systems
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