Intelligent Distributed Control of Electrical Power Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".
Deadline for manuscript submissions: 5 March 2026 | Viewed by 317
Special Issue Editors
Interests: power systems; cooperative control; event-triggered control
Interests: AI for science; multi-energy system; energy transition
Interests: distributed control; robust control; model predictive control; power systems; internet of things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As new power systems accelerate their transition toward high proportions of renewable energy and power electronic devices, traditional centralized control models struggle to meet the demands of dynamic and complex grid operations due to their reliance on single-point information, weak interference resistance, and limited scalability. Intelligent distributed control (IDC), as a novel control paradigm based on multi-agent collaboration and decentralized decision-making, integrates multi-agent systems (MASs), adaptive control, data-driven algorithms, and advanced communication technologies. It provides a critical pathway for addressing distributed optimization, coordinated regulation, and resilience enhancement in power systems, positioning itself at the forefront of current research in power system control.
This Special Issue, entitled “Intelligent Distributed Control of Electrical Power Systems", aims to collate the latest achievements from international scholars in theoretical innovation, technological breakthroughs, and engineering practice, thereby advancing the transformation of intelligent distributed control from theoretical exploration to practical implementation. This Special Issue centers on the following core directions:
- Event-Triggered Distributed Control in Electrical Power Systems;
- Modeling of Distributed Control in Power Systems Based on Digital Twins;
- Intelligent Distributed Collaborative Optimization Control for Power Systems;
- Distributed Optimal Dispatching and Demand Response of Electrical Power Systems;
- Intelligent Distributed Fault-Tolerant Control of Power Systems;
- Privacy and Security Mechanisms of Electrical Power Systems;
- Distributed Model Predictive Control of Electrical Power Systems.
Dr. Guangliang Liu
Dr. Zhengguang Liu
Dr. Zhijian Hu
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-blind 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
- power systems
- distributed control
- model predictive control
- fault-tolerant control
- intrusion detection
- resilient control
- privacy and security control
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