Smart Power System Optimization, Operation, and Control

Dear Colleagues,

This Special Issue focuses on advancing the theory and practice of optimization, operation, and control in modern power systems, particularly those undergoing transformation via the integration of distributed energy resources (DERs), renewable energy, smart grid technologies, and digital intelligence. The aim of this Special Issue is to provide a timely and cohesive collection of research that addresses the emerging challenges and opportunities in designing resilient, adaptive, and intelligent power systems.

(1) Focus, Scope, and Purpose:

1. Focus:

This Special Issue will present innovative approaches to the optimization and control of smart power systems. It encompasses both theoretical advancements and practical implementations related to system efficiency, reliability, real-time operation, and the integration of intelligent technologies, including AI, machine learning, and advanced control frameworks.

2. Scope:

We welcome the submission of original research articles, case studies, and review papers that explore the modeling, optimization, and control of power systems under uncertainty, with a focus on intelligent and decentralized solutions.

3. Purpose:

This Special Issue aims to compile interdisciplinary research that addresses the evolving complexity of smart power systems. By highlighting innovative control mechanisms and optimization techniques, the Special Issue aims to bridge the gap between academic research and practical deployment in power grid applications. It also seeks to foster collaboration between engineers, researchers, and system operators to accelerate the development of resilient and efficient smart power infrastructures.

(2) Relation to Existing Literature:

The past decade has witnessed a significant increase in research on smart grid technologies and the integration of renewable energy systems. However, the existing literature often treats optimization, control, and operational management in isolation. This Special Issue aims to build upon foundational works in power system engineering, AI-driven optimization, and control theory by presenting a comprehensive and unified perspective on smart power system management. In doing so, it will offer new insights into how these domains intersect, particularly in scenarios involving distributed decision-making, uncertainty, and real-time system constraints. The Special Issue will serve as both a supplement to and an extension of the existing body of work, offering novel methodologies, scalable solutions, and practical applications for future energy systems.

Assoc. Prof. Dr. Saher Javaid
Prof. Dr. Yuto Lim
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. Electronics 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 2400 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.