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Energy Technology, Power Systems and Sustainability

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

Deadline for manuscript submissions: 15 April 2026 | Viewed by 121

Special Issue Editor

Special Issue Information

Dear Colleagues,

The global energy landscape is undergoing a profound transformation, driven by the urgent need to reduce greenhouse gas emissions, improve energy efficiency, and transition to more sustainable and resilient power systems. This Special Issue, entitled "Energy Technology, Power Systems and Sustainability", invites original research and comprehensive reviews that address the development, integration, optimization, and sustainability assessment of emerging energy technologies and modern power systems.

We aim to explore how innovative solutions—from renewable energy integration and smart grid technologies to energy storage and the electrification of transport—can contribute to a cleaner, more efficient, and equitable energy future. Contributions are welcome from interdisciplinary perspectives, including technical, environmental, economic, and policy analyses. Topics may span theoretical modeling, experimental studies, case studies, and simulation-based approaches.

By bringing together insights from academia, industry, and policy, this Special Issue seeks to advance the scientific understanding and practical deployment of technologies that enable sustainable energy systems, and to highlight pathways for achieving global decarbonization goals.

Papers can be submitted on the following subtopics:

  • Renewable energy integration in smart grids;
  • Energy storage systems and management;
  • Sustainable electrification of transport;
  • Grid flexibility and demand-side management;
  • Power electronics for renewable systems;
  • Energy efficiency in industrial and residential applications;
  • Microgrids and distributed energy resources;
  • Digitalization and AI in energy systems;
  • Life cycle assessment and sustainability metrics;
  • Policy and regulatory frameworks for sustainable power systems.

Dr. Dmitry Baimel
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 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • power electronics
  • power systems
  • energy technologies
  • renewable systems
  • sustainability

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Published Papers (1 paper)

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Research

28 pages, 13030 KiB  
Article
Meta-Heuristic Optimization for Hybrid Renewable Energy System in Durgapur: Performance Comparison of GWO, TLBO, and MOPSO
by Sudip Chowdhury, Aashish Kumar Bohre and Akshay Kumar Saha
Sustainability 2025, 17(15), 6954; https://doi.org/10.3390/su17156954 (registering DOI) - 31 Jul 2025
Abstract
This paper aims to find an efficient optimization algorithm to bring down the cost function without compromising the stability of the system and respect the operational constraints of the Hybrid Renewable Energy System. To accomplish this, MATLAB simulations were carried out using three [...] Read more.
This paper aims to find an efficient optimization algorithm to bring down the cost function without compromising the stability of the system and respect the operational constraints of the Hybrid Renewable Energy System. To accomplish this, MATLAB simulations were carried out using three optimization techniques: Grey Wolf Optimization (GWO), Teaching–Learning-Based Optimization (TLBO), and Multi-Objective Particle Swarm Optimization (MOPSO). The study compared their outcomes to identify which method yielded the most effective performance. The research included a statistical analysis to evaluate how consistently and stably each optimization method performed. The analysis revealed optimal values for the output power of photovoltaic systems (PVs), wind turbines (WTs), diesel generator capacity (DGs), and battery storage (BS). A one-year period was used to confirm the optimized configuration through the analysis of capital investment and fuel consumption. Among the three methods, GWO achieved the best fitness value of 0.24593 with an LPSP of 0.12528, indicating high system reliability. MOPSO exhibited the fastest convergence behaviour. TLBO yielded the lowest Net Present Cost (NPC) of 213,440 and a Cost of Energy (COE) of 1.91446/kW, though with a comparatively higher fitness value of 0.26628. The analysis suggests that GWO is suitable for applications requiring high reliability, TLBO is preferable for cost-sensitive solutions, and MOPSO is advantageous for obtaining quick, approximate results. Full article
(This article belongs to the Special Issue Energy Technology, Power Systems and Sustainability)
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