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Power Systems Optimization and Sustainable Energy

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: 25 June 2026 | Viewed by 599

Special Issue Editor


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Guest Editor
Engineering and Design Department, Western Washington University, Bellingham, WA 98225, USA
Interests: power system reliability; fault detection; event detection; real-time power system health monitoring; renewable energy integration
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Special Issue Information

Dear Colleagues,

It is our pleasure to announce a new Special Issue “Power Systems Optimization and Sustainable Energy” of the journal Sustainability.

The unprecedented and continuous growth in all sectors of power systems, including generation, transmission, and distribution, introduces many design and operational challenges. Optimization has been used to solve many of these problems in power system planning, operation, and control, all the while accounting for increasing levels of uncertainty. These uncertainties stem from the presence of a large number of renewable energy resources with intermittent and uncertain power generation profiles. Traditionally, large-scale system optimization techniques have been used to solve the optimal power flow problem (OPF). Recently, these techniques have been extended to integrating renewable energy resources and dispatchable loads onto the power system. Methods for solving optimization problems include linear programming, nonlinear programming, integer programming, convex programming, dynamic programming, artificial intelligence and heuristics, just to name a few. While most problems seek a globally optimal solution, many of the methods used today can only guarantee local optimality. New advancements in dynamic programming and artificial intelligence are making progress in the search for global optimality, but there is still much room for improvement.

This Special Issue aims to present the latest advancements in all aspects of power system optimization, including innovations in modelling, algorithms, and solution techniques. The focus will be on novel methods for optimizing power system control, reliability, flexibility, and security, including data-driven algorithms and emerging technologies. Both theoretical and practical studies on these topics are welcome.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Power system optimization;
  • Power system reliability;
  • Electricity markets;
  • Renewable energy integration;
  • Power system monitoring and control;
  • Data-driven approaches for power system operation.

Dr. Xichen Jiang
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. Sustainability 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.

Keywords

  • distributed energy resources
  • power system operation
  • reliability
  • integration
  • optimization
  • sustainable energy

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Published Papers (1 paper)

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Research

22 pages, 2994 KB  
Article
A Grey Wolf Optimization Approach for Solving Constrained Economic Dispatch in Power Systems
by Olukorede Tijani Adenuga and Senthil Krishnamurthy
Sustainability 2025, 17(23), 10648; https://doi.org/10.3390/su172310648 - 27 Nov 2025
Viewed by 215
Abstract
In this study, the economic dispatch problems, which are indispensable in electrical engineering, are addressed utilizing Grey Wolf Optimization (GWO). Conventional mathematical methods struggle to provide quick, reliable solutions to nonlinear problems in power systems with many generation units. An economic dispatch solution [...] Read more.
In this study, the economic dispatch problems, which are indispensable in electrical engineering, are addressed utilizing Grey Wolf Optimization (GWO). Conventional mathematical methods struggle to provide quick, reliable solutions to nonlinear problems in power systems with many generation units. An economic dispatch solution operates by allocating generation sets with the lowest fuel costs to meet predetermined power balance constraints. GWO is a meta-heuristic set of rules that has garnered significant attention in the literature due to its suitable exploratory and exploitative properties, rapid and mature convergence rate, and straightforward architecture. When dealing with a nonlinear constraints problem, such as ED, it has gained significant recognition for its balance of exploration and exploitation, reliable convergence characteristics, and simple implementation framework. The proposed Grey Wolf Optimization algorithm is evaluated using real-world generation case benchmark comparisons for 3-unit, 6-unit, and 15-unit systems. Results demonstrate the impact of incorporating renewable energy source (RES) uncertainty; fuel costs increase significantly from USD 7598 to USD 21,240 for the 3-unit system, USD 13,397 to USD 46,216,658 for the 6-unit system, and USD 32,622.55 to USD 33,723.11 for the 15-unit system, highlighting that RES integration is more economically viable in larger systems. The paper’s significant contribution is its essential mechanism for power systems, which enables lower global energy costs, improved operational efficiency, and enhanced grid reliability through strategic resource allocation in a constrained economic dispatch energy management system. Full article
(This article belongs to the Special Issue Power Systems Optimization and Sustainable Energy)
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