Modeling and Optimization of Power Grid
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 672
Special Issue Editor
Interests: peer-to-peer transaction; distributed system operation; distributed renewables; virtual power plant; energy trading
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Reshaping the grid into digitalized and decentralized networks is essential for carbon neutrality and renewable energy integration. This structural evolution involves moving away from traditional centralized power grids toward highly interconnected systems with bidirectional energy flows. As this transformation progresses, however, the resulting complexity poses significant challenges to traditional operational paradigms in ensuring stability, reliability and economic efficiency. Furthermore, the digitalization of the grid, while providing better visibility, introduces new interdependencies between communication layers and physical infrastructure, necessitating more robust cyber–physical security measures. To address these issues, advanced modeling and optimization techniques have become more critical than ever.
This Special Issue aims to gather innovative research articles and comprehensive reviews that tackle the multifaceted problems of next-generation power grids, particularly focusing on advanced methodologies for modeling large-scale power grids, addressing DER-related uncertainties, and enhancing the operational efficiency of microgrids and smart systems. Topics to be covered in this Special Issue include, but are not limited to, the following:
- Advanced Power System Modeling and Planning
- Optimization of Smart Grids and Microgrids
- Renewable Energy Integration and Uncertainty Management
- Optimal Sizing and Scheduling of Energy Storage Systems (ESS)
- Demand Response and Load Management
- Grid Resilience and Reliability Analysis
- AI and Machine Learning for Power Systems
- Cyber–Physical Energy Systems
Dr. Young Gyu Jin
Guest Editor
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 system modeling
- grid optimization and planning
- smart grid and microgrids
- renewable energy integration
- energy storage systems (ESS)
- demand response and load management
- grid resilience and reliability analysis
- AI and machine learning for power systems
- cyber–physical energy systems
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