Comparison of PPO-DRL and A2C-DRL Algorithms for MPPT in Photovoltaic Systems via Buck-Boost Converter

Wiwat Jeungthanasirigool (), Thanyaphob Sirimaskasem (), Terapong Boonraksa () and Promphak Boonraksa ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 3, 2438-2453

Abstract: This research investigates the effectiveness of two deep reinforcement learning algorithms, Proximal Policy Optimization (PPO) and Advantage Actor-Critic (A2C), in achieving the MPPT for PV systems implemented via a Buck-Boost converter. The algorithms were trained and evaluated under varying environmental conditions, including different levels of irradiance and temperature. The results are presented through duty cycle heatmaps, power output heatmaps, and performance curves for power, voltage, and current. The PPO algorithm demonstrated stable and consistent control across all scenarios, maintaining a nearly constant duty cycle and achieving high power output. In contrast, A2C exhibited more adaptive control behavior, adjusting the duty cycle based on environmental changes, but showed lower power output under weak irradiance. Overall, PPO outperformed A2C in terms of stability, accuracy, and ability to reach the optimal operating point, making it a more suitable choice for MPPT applications in PV systems under dynamic conditions.

Keywords: A2C-DRL Algorithms; Deep reinforcement learning; MPPT; DC/DC Buck-boost converter; PPO-DRL algorithms; PV systems. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijirss.com/index.php/ijirss/article/view/7022/1439 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aac:ijirss:v:8:y:2025:i:3:p:2438-2453:id:7022

Access Statistics for this article

International Journal of Innovative Research and Scientific Studies is currently edited by Natalie Jean

More articles in International Journal of Innovative Research and Scientific Studies from Innovative Research Publishing
Bibliographic data for series maintained by Natalie Jean ().