Self-Organized Operation and Control of Power Electronic-Based Renewable Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".
Deadline for manuscript submissions: 10 October 2025 | Viewed by 24
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the development of power electronic technology, the proportion of power electronic devices in highly renewable power systems is increasing, greatly enhancing their controllability and flexibility. Electronic power networks are the inevitable trend, resulting in profound changes in the dynamic characteristics, control profile, and operation framework. Nowadays, power coordination operations and dynamic stability control are moving from a centralized to a decentralized approach. The traditional centralized control mode, highly dependent on high-energy storage configurations and high-bandwidth communication, cannot meet the development needs of flexible and reliable, plug-and-play, and variable system operation. Self-organized operation is fundamental for building networked system structure self-similarity and achieving power energy self-balance. This emphasizes that, without external instructions, each subsystem within the system can form a certain structure and function according to certain rules, in line with the system’s autonomous decision-making adjustment which tends to guide rather than force control. Under the self-organized operation framework of power electronic networks, the aim is to reduce dependence on high-bandwidth communication and abundant energy storage, fully tapping the flexible controllability of multi-level converters. Therefore, it is urgent to develop new self-organized operation and control rules to manage complex electronic renewable power networks.
This Special Issue primarily focuses on the latest research concerning state-of-the-art technologies for the self-organized control and operation of power electronic-based renewable energy systems. Topics of interest for publication include, but are not limited to, the following:
- Self-synchronization control of AC-dominated power system;
- Self-adaptive control against variable operation conditions;
- Self-optimization management of microgrids;
- Self-disciplined robust stability of power electronic clusters;
- Self-learning machine learning and AI for distributed power systems;
- Self-healing and dynamic reconfiguration of networked resilient energy systems;
- Self-diagnosis and fault analysis of electric power systems.
Dr. Feng Zhou
Guest Editor
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Keywords
- microgrids
- power distribution systems
- renewable energy resources
- distributed control methods
- smart optimization techniques
- intelligent energy management systems
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