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Advanced Control and Resilience Planning for Sustainable Energy Systems
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Advanced Control and Resilience Planning for Sustainable Energy Systems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: 28 February 2027 | Viewed by 1312

Special Issue Editors

Prof. Dr. Diego Arcos Aviles

E-Mail Website
Guest Editor
Department of Electrical, Electronic, and Telecommunications Engineering, Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador
Interests: energy management systems; microgrids; power electronics; renewable generation systems
Prof. Dr. Freddy Flores-Bahamonde

E-Mail Website
Guest Editor
Departamento de Ciencias de la Ingeniería en la Universidad Andres Bello, Santiago de Chile, Chile
Interests: power electronics; renewable energy; microgrids

Special Issue Information

Dear Colleagues,

The rapid transition toward low-carbon and decentralized energy systems has increased the complexity of power system operation and planning. The high penetration of renewable energy sources, extensive use of power electronic converters, microgrids, and hybrid energy storage systems introduces new challenges related to stability, reliability, and resilience. Addressing these challenges requires advanced control strategies and resilience-oriented planning to ensure sustainable operation under uncertainty and variability.

This Special Issue on Advanced Control and Resilience Planning for Sustainable Energy Systems aims to gather high-quality research that advances modeling, control, optimization, and energy management of renewable-based power systems. It focuses on advanced control approaches for power converters, distributed generation, and microgrids, as well as energy management systems that coordinate multiple energy resources and storage technologies. Topics of interest include resilient and fault-tolerant control, optimal and predictive control, intelligent and data-driven methods, and real-time validation through experimental platforms or hardware-in-the-loop testing.

Beyond technical performance, this Special Issue emphasizes sustainability as a measurable objective. Contributions that quantify sustainability through indicators such as energy efficiency, emission reduction, system reliability, resilience metrics, lifecycle impacts, and socio-economic benefits are particularly encouraged. By linking advanced control and resilience planning with sustainability assessment, this Special Issue complements the existing literature and supports the development of robust, efficient, and socially responsible energy systems.

Prof. Dr. Diego Arcos Aviles
Prof. Dr. Freddy Flores-Bahamonde
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. 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

  • sustainable energy systems
  • advanced control strategies
  • resilience planning
  • renewable energy integration
  • microgrids and distributed generation
  • power electronic converters
  • energy management systems
  • hybrid energy storage
  • sustainability assessment and metrics

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Published Papers (2 papers)

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47 pages, 11862 KB  
Article
Adaptive Preference-Based Multi-Objective Energy Management in Smart Microgrids: A Novel Hierarchical Optimization Framework with Dynamic Weight Allocation and Advanced Constraint Handling
by Nahar F. Alshammari, Faraj H. Alyami, Sheeraz Iqbal, Md Shafiullah and Saleh Al Dawsari
Sustainability 2026, 18(7), 3591; https://doi.org/10.3390/su18073591 - 6 Apr 2026
Viewed by 444
Abstract
The paper proposed an adaptive preference-based multi-objective optimization framework of intelligent energy management in smart microgrids that are dynamically adapted to operational priorities with regard to real-time grid conditions, stakeholder preferences, and environmental constraints. The suggested hierarchical algorithm combines an improved Non-dominated Sorting [...] Read more.
The paper proposed an adaptive preference-based multi-objective optimization framework of intelligent energy management in smart microgrids that are dynamically adapted to operational priorities with regard to real-time grid conditions, stakeholder preferences, and environmental constraints. The suggested hierarchical algorithm combines an improved Non-dominated Sorting Genetic Algorithm II (NSGA-II) with an advanced dynamic preference weight distribution system that can trade off between minimization of operational cost. Reduction of carbon emission, enhancement of voltage stability, enhancement of power quality and maximization of system reliability and adaptability to different operational conditions, such as renewable energy intermittency, demand response schemes and emergencies. The framework presents a new multi-layered preference-learning module that represents the intricate stakeholder priorities in terms of more sophisticated fuzzy logic-based decision matrices, neural network preference prediction, and adaptive reinforcement learning methods and transforms them into dynamic optimization weights with feedback mechanisms. Large-scale simulations on a modified IEEE 33-bus test system coupled with various renewable energy sources, energy storage facilities, electric vehicle charging points, and smart appliances demonstrate superior improvements in performance: 23.7% operational costs reduction, 31.2% carbon emissions reduction, 18.5% system reliability improvement, 15.3% voltage stability increase and 12.8% reduction of deviations in power quality. The proposed system has an adaptive nature with better performance in a variety of operating conditions such as peak demand times, renewable energy intermittency events, grid-connected and islanded operations, emergency load shedding situations, and cyber–physical security risks. The framework is shown to be highly effective under different conditions of uncertainty and variation in parameters and communication delay through intense sensitivity analysis and robustness testing, thus demonstrating its practical applicability in real-world applications of smart grids. Full article
(This article belongs to the Special Issue Advanced Control and Resilience Planning for Sustainable Energy Systems)
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33 pages, 2053 KB  
Systematic Review
Neighborhood-Level Energy Hubs for Sustainable Cities: A Systematic Integrative Framework for Multi-Carrier Energy Systems and Energy Justice
by Fuad Alhaj Omar and Nihat Pamuk
Sustainability 2026, 18(9), 4209; https://doi.org/10.3390/su18094209 - 23 Apr 2026
Viewed by 538
Abstract
This study presents a comprehensive and systematic integrative review of Neighborhood-Level Energy Hubs (NLEHs) as pivotal enablers of sustainable and resilient urban energy systems. In response to accelerating climate pressures, rapid urbanization, and the decentralization of energy production, NLEHs are conceptualized as multi-carrier [...] Read more.
This study presents a comprehensive and systematic integrative review of Neighborhood-Level Energy Hubs (NLEHs) as pivotal enablers of sustainable and resilient urban energy systems. In response to accelerating climate pressures, rapid urbanization, and the decentralization of energy production, NLEHs are conceptualized as multi-carrier platforms that enable coordinated energy generation, storage, conversion, and exchange at the neighborhood scale. Utilizing a PRISMA-informed methodology to synthesize 125 core studies, the review systematically evaluates recent advances across five interconnected dimensions: conceptual foundations, system typologies, energy flow architectures, urban integration, and optimization paradigms. Unlike conventional reviews, this study explicitly bridges the critical gap between techno-economic optimization and socio-environmental priorities. A key novelty is the proposed mathematical integration of energy justice and Social Life Cycle Assessment (S-LCA) directly into optimization algorithms (e.g., MILP and MPC) as dynamic constraints and penalty terms. Particular emphasis is placed on participatory governance models, lifecycle sustainability metrics, and digitalization tools such as AI-driven energy management systems and urban digital twins. The analysis further reveals critical research gaps, highlighting a stark geographic dichotomy between high-tech, market-driven NLEHs in the Global North and resilience-oriented hybrid microgrids in the Global South, alongside the lack of adaptive regulatory frameworks. By proposing a unified Cyber–Physical–Social perspective, this study provides actionable insights for planners, policymakers, and researchers to support the development of scalable, inclusive, and context-sensitive NLEH implementations. Ultimately, the paper contributes to redefining neighborhood-scale energy systems as not only efficient and low-carbon infrastructures, but also as socially equitable, globally scalable, and institutionally adaptive components of future smart cities. Full article
(This article belongs to the Special Issue Advanced Control and Resilience Planning for Sustainable Energy Systems)
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