Modeling, Optimization, and Control of Distributed Energy Systems, 2nd Edition

Dear Colleagues,

The push towards constructing clean, low-carbon, secure, and efficient distributed energy systems has gained broad consensus within the energy and power industry. As diverse energy sources with varying spatiotemporal distribution characteristics integrate into these systems, traditional modeling, optimization, and control methods face significant challenges. Relying solely on mechanism-based research methods often proves inadequate for solving the complex non-convex optimization problems inherent in distributed energy systems, limiting the ability to fully explore the synergy and potential value of various energy sources. Moreover, the interactive coordination of the "source–grid–load–storage" within distributed energy systems significantly increases the complexity of information interactions, making data sharing between different energy entities a critical bottleneck in the optimization process. Centralized control methods also struggle to accommodate distributed energy systems' multi-entity, multi-spatial, and temporal scale operational characteristics. Thus, to address these challenges, there is an urgent need for advanced research on the modeling, optimization, and control technologies for distributed energy systems.

Special Issue on “Modeling, Optimization, and Control of Distributed Energy Systems, 2nd Edition”, as a follow up of the previous edition, showcases recent advancements in this area. Topics of interest include, but are not limited to, the following:

• Multi-time scale dynamic modeling and simulation of distributed energy systems;
• Modeling methods for cyber–physical distributed energy systems;
• Morphological evolution and planning technologies for distributed energy systems;
• Energy management and optimal operations of distributed energy systems;
• Restoration control methods for distributed energy systems;
• Evaluation and improvement of resilience and flexibility in distributed energy systems;
• Application of artificial intelligence in the modeling, optimization, and control of distributed energy systems;
• Stable operation and control technologies for distributed energy systems;
• Aggregation of demand-side flexible resources and market mechanism;
• Transactive energy control of distributed energy systems.

Dr. Lei Sun
Dr. Xiaodong Yang
Dr. Yue Yang
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

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• distributed energy sources
• modeling
• optimization algorithms
• control strategy
• distributed energy systems
• renewable energy

• Modeling, Optimization, and Control of Distributed Energy Systems in Processes (11 articles)