Distributed Optimization and Resilient Control for Smart Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: 25 August 2026 | Viewed by 318
Editors
Interests: smart grid; energy-efficient; microgrid; photovoltaic; model predictive control (MPC) for smart grids and microgrids
Interests: internet of things (IoT); robotics; machine learning (ML); deep learning; CNNS; LLMs and agentic AI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The transition toward renewable-dominated and interconnected power infrastructures is transforming the operation of modern energy systems. Increasing penetration of distributed energy resources (DERs), electric vehicles, energy storage systems, and demand-side management technologies is shifting the traditional practice from centralized generation towards distributed, data-driven, and cyber–physical energy networks. While this transformation enhances flexibility and sustainability, it also introduces new challenges related to coordination, scalability, uncertainty management, control, and system resilience.
Advanced distributed optimization and resilient control methodologies are emerging as key enablers of reliable and efficient smart energy systems. Distributed and decentralized control architectures allow scalable management of geographically dispersed resources without relying on vulnerable centralized controllers. At the same time, resilient control approaches are required to ensure stable operation under disturbances, cyber threats, communication delays, model uncertainties, and extreme events.
This Special Issue aims to provide a comprehensive platform for recent advances in distributed optimization and resilient control strategies for smart energy systems, fully aligned with the scope of Energies. Contributions may address theoretical developments, algorithm design, modeling techniques, simulation frameworks, and real-world validation studies across microgrids, smart grids, hybrid AC/DC systems, energy communities, electric vehicle integration, and renewable-dominated power networks.
Topics of interest include, but are not limited to:
- Distributed and decentralized optimization algorithms for energy management.
- Model Predictive Control (MPC) and hierarchical control of distributed energy resources.
- Multi-agent and consensus-based coordination strategies.
- Robust and fault-tolerant control of cyber-physical energy systems.
- AI- and data-driven approaches for adaptive energy system control.
- Stability and resilience enhancement under uncertainty and disturbances.
- Distributed scheduling and energy trading mechanisms.
- Optimization-based integration of EVs, storage systems, and renewable sources.
By bringing together researchers working at the intersection of control engineering, optimization, power systems, and intelligent energy management, this Special Issue seeks to advance scalable, reliable, and resilient solutions that support the global transition toward sustainable and secure energy infrastructures.
Dr. Yusuf Abubakar Sha’aban
Dr. Umar Raza
Dr. Abdullahi Bala Kunya
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- distributed optimization
- decentralized control
- resilient control
- smart energy systems
- smart grids
- microgrids
- distributed energy resources (DERs)
- model predictive control (MPC)
- multi-agent systems
- consensus algorithms
- renewable energy integration
- energy management systems
- electric vehicle integration
- vehicle-to-grid (V2G)
- cyber-physical energy systems
- robust and fault-tolerant control
- AI-driven energy optimization
- hybrid AC/DC systems
- energy storage coordination
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