Special Session SS14

Joint Management of Information Resources and Power Demand for Large-Scale Distributed Power Systems

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Introduction:

The rapid evolution information systems present an unprecedented opportunity to enhance the efficiency, reliability, and sustainability of modern power systems. Driven by the large-scale integration of distributed renewable energy resources and microgrids, power systems become more complex and decentralized, where the role of real-time and reliable information transmission becomes even more crucial. Information systems play a key role in optimizing power generation, distribution, and consumption. Advanced informatic techniques, including data-driven analysis, on-demand communication services, distributed optimization algorithms, and precise measurement systems, are essential for addressing the complex challenges associated with modern power systems. These techniques enable more accurate forecasting, improved grid reliability, and dynamic energy management that can balance supply and demand effectively.
This special issue aims to explore the deep integration of information systems and power systems, focusing on innovative theories and approaches that improve understanding of how advanced information system techniques can enhance the performance and resilience of power systems. On the theoretical side, it investigates how measurement accuracy, transmission latency, communication reliability and other uncertainties from information systems can influence the performance of power systems. On the practical side, it examines approaches that leverage cutting-edge technologies, including artificial intelligence, machine learning, and distributed optimization, to improve the operation, maintenance, and expansion of power systems. From both theoretical and practical perspectives, this special issue focuses on advancing efficient grid management, enhancing emergency recovery strategies, and enabling real-time decision-making processes to ensure long-term power system stability. We solicit original research papers on topics including, but not limited to:
1. Distributed optimization over large-scale distributed power systems;
2. Privacy, security, and reliability aspects of power systems;
3. Communication-efficient distributed machine learning for distributed power systems;
4. Techniques for improving the scalability and efficiency of distributed power systems;
5. Distributed control and coordination of renewable energy resources;
6. Cyber-physical systems coupling modeling

SS14's Session Chair:

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Prof. Quan Zhou, Hunan University, China

SS14's Session Co-chairs:

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Prof. Zhaoyue Xia, Hunan University, China

Assoc. Prof. Xiaoguang Wei, Southwest Jiaotong University, China

Assoc. Prof. Chenhao Sun, Changsha University of Science & Technology, China

Paper Review

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1. All papers will undergo a thorough peer review process. Accepted full papers that are presented at the conference will be published in proceedings.

2. The corresponding author is responsible for ensuring that the article’s publication has been approved by all other co-authors and takes responsibility for the paper during submission and peer review.

3. Review comments will be communicated to you and you may require to do necessary revisions and send revised paper on or before prescribed day.

Call for Reviewers

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Reviewers evaluate article submissions to IEECSC, based on the requirements of the conference proceedings, predefined criteria, and quality, completeness and accuracy of the research presented. They suggest improvements and make a recommendation to the editor about whether to accept, reject or request changes to the article. We sincerely welcome experts in the areas of Electrical Engineering and Energy join the conference as reviewer. If you are interested in joining IEECSC as Reviewer, please click the below button to submit your information.

Apply for Reviewer

Plagiarism Policy

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The content of any submissions should be original and must not be submitted simultaneously for consideration towards publication in any other conference or journal. Reuse of material previously published by the authors is possible under the conditions that the authors fully disclose (cite) the reference and clearly highlight the innovative contribution of the IEECSC 2026 submission and the significance of this contribution.