Research on Self-Decision Control Strategy in Distributed Photovoltaic Intelligent Monitoring Device

This study proposes an intelligent monitoring self-decision control strategy based on multi-agent reinforcement learning algorithm for distributed photovoltaic systems to improve the efficiency and stability of the system under variable environments. In order to cope with the uncertainty in the dist...

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Veröffentlicht in:	IEEE International Conference on Automation, Electronics and Electrical Engineering (Online) S. 515 - 519
Hauptverfasser:	Lei, Tinghao, Cai, Xinya, Wu, Yang, Guo, Yingjie, Li, Yao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 27.12.2024
Schlagworte:	Collaboration Distributed photovoltaic intelligent monitoring Inverters Monitoring multi-agent reinforcement learning algorithm Optimization Photovoltaic systems Power grids Power system stability Real-time systems Reinforcement learning self-decision-making control Stability analysis
ISSN:	2831-4549
Online-Zugang:	Volltext
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