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Advanced Solutions for Enhancing Power Quality and Reliability of Electrical Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: 25 September 2026 | Viewed by 1001

Special Issue Editors


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Guest Editor
Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy
Interests: integration of distributed resources in distribution systems; distribution system and microgrid optimization; power quality; multi-criteria decision making
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Guest Editor
Electrical Engineering Department, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-598, Brazil
Interests: analysis and optimization of power systems; renewable energy; reliability; stochastic simulation; distributed generation; high performance computing

Special Issue Information

Dear Colleagues,

In the current energy transition process, the electrification and the increasing presence of variable renewable energy, as well as updated operating paradigms, require more reliable and efficient electrical systems characterized by high levels of power quality and reliability. In this framework, tools and solutions for improving service quality in electrical networks are becoming more and more important and strategic.

This Special Issue aims to present and disseminate the most recent advances related to solutions for enhancing power quality and reliability.

Topics of interest for publication include, but are not limited to, the following

  • Power quality disturbances;
  • Impact of variable renewable energy;
  • Electric vehicle charging stations and energy storage systems;
  • Role of microgrids; 
  • Monitoring and metrics;
  • Mitigation technologies and solutions;
  • New technologies and modeling.

Dr. Angela Russo
Prof. Dr. Carmen L.T. Borges
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. 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

  • electric power systems
  • power quality
  • reliability
  • new grid paradigms
  • variable renewable energy
  • grid solutions

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Published Papers (1 paper)

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Research

28 pages, 67271 KB  
Article
Characterizing the Spatiotemporal Complexity of Power Outages in the U.S. Power Grid: A Reliability Assessment Perspective
by Qun Yu, Zhiyi Zhou, Tongshuai Jin, Weimin Sun and Jiongcheng Yan
Energies 2026, 19(5), 1252; https://doi.org/10.3390/en19051252 - 2 Mar 2026
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Abstract
With the intensification of climate change, deepening energy transition, and increasing social vulnerability, extreme power outage events pose escalating challenges to the governance capacity of modern power systems. Existing evaluation frameworks primarily focus on engineering reliability and economic loss estimation, lacking systematic quantification [...] Read more.
With the intensification of climate change, deepening energy transition, and increasing social vulnerability, extreme power outage events pose escalating challenges to the governance capacity of modern power systems. Existing evaluation frameworks primarily focus on engineering reliability and economic loss estimation, lacking systematic quantification of the governance complexity arising from multidimensional interacting pressures behind outage events. This creates a blind spot in both theoretical research and governance practice, hindering differentiated resilience decision-making. To address this gap, this study develops a four-dimensional evaluation framework of power outage governance complexity encompassing event attributes, external environment, internal system, and social impacts. Based on county-level outage data and multi-source auxiliary data in the United States from 2015 to 2024 and employing the XGBoost–SHAP interpretable machine learning approach, we construct the Power Outage Complexity Index (POCI) for all U.S. counties and systematically analyze its spatiotemporal evolution and core driving factors. The results show that outage governance complexity in the U.S. power grid exhibits a significant upward trend during 2015–2024, with an average annual growth rate of 1.84%. Spatially, significant positive autocorrelation is observed, and 146 high-complexity hotspot counties are identified, mainly clustered along the East and West Coasts, the Gulf Coast, and the Southwest. Driver analysis reveals that social impact and event attribute dimensions together account for nearly 90% of the variance in complexity, with cumulative outage exposure burden, outage frequency, and large-scale event ratio being the most critical drivers. Theoretically, this study extends power resilience research from an engineering-physical paradigm to a socio-technical governance paradigm and provides a reproducible methodological framework for assessing governance complexity in critical infrastructure systems. Practically, the POCI can serve as a governance diagnostic tool for the power industry and regulators, supporting resilience investment prioritization, emergency resource optimization, and differentiated governance strategy formulation. It also provides empirical evidence for safeguarding energy security in highly vulnerable communities and promoting energy resilience equity. Full article
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