Stability, Operation, and Control in Power Systems
A special issue of Electricity (ISSN 2673-4826).
Deadline for manuscript submissions: 20 May 2026 | Viewed by 398
Special Issue Editors
Interests: study of stray currents; regenerative braking energy utilization; traction power supply system simulation
Special Issues, Collections and Topics in MDPI journals
Interests: smart grid information and communication technology; multimodal power IoT technology; cyber–physical integration systems; smart power consumption; multi-dimensional load management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid integration of renewable energy and smart grid technologies, modern power systems face unprecedented challenges in stability, operational efficiency, and control robustness. The traditional power system paradigm, which was designed for centralized generation and unidirectional power flow, is undergoing a profound transformation driven by the increased incorporation of variable renewable energy sources (VRESs), the proliferation of distributed energy resources (DERs), advanced metering infrastructure, and demand response programs. Furthermore, with the development of complex cyber–physical systems (CPSs), physical components, communication networks, and computational resources are deeply intertwined. This information–physical fusion has fundamentally transformed power system architectures, enabling real-time data exchange between generation, transmission, distribution, and consumption nodes—but simultaneously introducing unprecedented challenges in stability, operational efficiency, and control robustness.
Against this backdrop, artificial intelligence (AI) has emerged as a transformative force, redefining how power systems are monitored, analyzed, and controlled. Machine learning algorithms, deep neural networks, and reinforcement learning techniques are increasingly deployed to handle the massive data streams generated by smart meters, sensors, and IoT devices in cyber–physical power systems. These AI-driven solutions offer breakthrough capabilities in predicting renewable energy fluctuations, optimizing real-time power flow, detecting cyber–physical anomalies, and adapting control strategies to dynamic operating conditions.
This Special Issue invites original research addressing cutting-edge solutions for the following areas:
- Stability enhancement in high-penetration renewable scenarios;
- Cloud–edge–end collaboration for reliable power systems;
- Sensing–Communication–Computing–Control Integration;
- AI-driven optimization for grid operation and load balancing;
- Resilience strategies against extreme events (e.g., cyberattacks, natural disasters);
- Decentralized control of microgrids and distributed energy resources;
- Machine learning and artificial intelligence applications in power system operations;
- Robust control methods for dealing with uncertainties in renewable generation;
- Market mechanisms and their impact on power system operation and control;
- Power system planning considering stability and control requirements.
Dr. Wei Liu
Prof. Dr. Zhenyu Zhou
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. Electricity is an international peer-reviewed open access quarterly 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 1200 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
- transient stability analysis
- renewable energy integration
- smart grid automation
- microgrid coordination
- AI-based predictive control
- voltage/frequency regulation
- cyber–physical security
- hybrid AC/DC systems
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