Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
8.3
3.2
Journals
Energies
Special Issues
Advances in Microgrids Energy Management with Integrated Renewables and Power...
energies-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Energies Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Advances in Microgrids Energy Management with Integrated Renewables and Power Electronics—2nd Edition

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: 15 October 2026 | Viewed by 716

Special Issue Editor

Dr. Alessia Cagnano

E-Mail Website
Guest Editor
Department of Information Engineering, Infrastructure and Sustainable Energy (DIIES), University Mediterranea of Reggio Calabria, 89122 Reggio Calabria, Italy
Interests: power system analysis; distribution systems; microgrids; smart grid; energy management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, renewable-powered microgrids have emerged as a promising solution to address contemporary energy and environmental challenges. By offering decentralized electricity generation with significantly reduced carbon emissions compared to traditional sources, microgrids pave the way for a more sustainable and resilient energy future. However, the integration of renewable energy sources through power electronics poses several energy management challenges. While modern power converters enhance controllability and flexibility, they can also impact microgrid stability by altering system inertia compared to conventional generators. These complexities are compounded by the inherent variability of renewable supplies, underscoring the need for advanced energy management strategies.

Considering these challenges, this special issue aims to gather cutting-edge research on microgrid energy management, focusing on innovative methodologies, algorithms, and technologies. We invite contributions that explore strategies to optimize microgrid performance, enhance its stability, and increase its efficiency in the context of high renewable integration and advanced power electronics.

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

  1. Advanced control algorithms for Energy Management in high renewable penetration microgrids.
  2. Modern control techniques for load balancing and demand management in microgrids.
  3. Innovative methods for optimal sizing and placement of distributed energy resources in microgrids
  4. Novel power converter designs and their impact on microgrid dynamics.
  5. Power converter modulation techniques for improving power quality.
  6. Innovative real-time control methodologies for enhancing microgrid stability, efficiency, and reliability.
  7. Advanced control methodologies for real-time monitoring, control, and optimization of energy storage systems.
  8. Case studies and real-world implementations of renewable-powered microgrids.

Dr. Alessia Cagnano
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. 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

  • microgrids
  • renewable energy sources
  • energy storage systems
  • power electronics
  • energy management
  • advanced control algorithms
  • real-time control
  • power quality
  • microgrid stability
  • demand management
  • load balancing
  • predictive control

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

25 pages, 3006 KB  
Article
Data-Driven Digital Twin for Real-Time Management of Community-Scale Grid-Connected Battery Energy Storage Systems
by Songyang Liu, Hongze Xie and Mohsen Eskandari
Energies 2026, 19(11), 2696; https://doi.org/10.3390/en19112696 - 3 Jun 2026
Viewed by 187
Abstract
In Australia’s National Electricity Market (NEM), community-scale battery energy storage systems (BESS) operate under five-minute price volatility and frequent negative pricing. However, unmeasured internal states and degradation processes constrain the effectiveness of rule-based and simplified optimisation methods for real-time arbitrage. To address these [...] Read more.
In Australia’s National Electricity Market (NEM), community-scale battery energy storage systems (BESS) operate under five-minute price volatility and frequent negative pricing. However, unmeasured internal states and degradation processes constrain the effectiveness of rule-based and simplified optimisation methods for real-time arbitrage. To address these challenges, this study proposes a data-driven digital-twin framework for real-time management of a 1 MW/4 MWh grid-connected community BESS. The framework integrates a control-oriented single-particle model (SPM), an Unscented Kalman Filter (UKF)-based estimation layer for state-of-charge (SOC), state-of-health (SOH) and internal-state estimation and a degradation-aware nonlinear model predictive control (NMPC) strategy. Within this architecture, the SPM provides an interpretable electrochemical representation, the estimation layer reconstructs internal states from measurable signals, and the NMPC performs five-minute rolling arbitrage subject to voltage, power, and SOC constraints while accounting for ageing-related costs and ramp penalties. Simulation case studies based on high-volatility daily price profiles from four NEM regions indicate that the proposed framework can coordinate arbitrage-oriented dispatch, constraint-aware operation, and degradation-related cost consideration under the tested conditions. These results suggest the potential of the SPM–UKF–NMPC digital-twin architecture for supporting real-time community-scale BESS management, while further validation under forecast uncertainty and hardware or field conditions remains necessary. Full article
(This article belongs to the Special Issue Advances in Microgrids Energy Management with Integrated Renewables and Power Electronics—2nd Edition)
►▼ Show Figures

Figure 1

21 pages, 5700 KB  
Article
Tri-Stage Optimization Framework for Optimal Clustering of Power Distribution Systems into Sustainable Microgrids
by Yahia N. Ahmed, Ahmed Abd Elaziz Elsayed and Hany E. Z. Farag
Energies 2026, 19(9), 2050; https://doi.org/10.3390/en19092050 - 23 Apr 2026
Viewed by 334
Abstract
Decentralized sustainable microgrids are emerging as a promising approach for addressing the increasing complexity of modern power systems while ensuring reliable and efficient operation. A fundamental driver of this transition is the partitioning of distribution networks into self-sufficient microgrids supported by the effective [...] Read more.
Decentralized sustainable microgrids are emerging as a promising approach for addressing the increasing complexity of modern power systems while ensuring reliable and efficient operation. A fundamental driver of this transition is the partitioning of distribution networks into self-sufficient microgrids supported by the effective integration of Distributed Energy Resources (DERs) and Energy Storage Systems (ESSs), enabling improved power flow management and enhanced voltage stability. In this regard, this paper proposes a tri-stage optimization framework designed to segment power distribution systems into multiple self-sustaining microgrids while maintaining optimal network performance. In the first stage, the distribution grid is partitioned into microgrid clusters based on electrical distance metrics and bus correlation analysis. The second stage focuses on the optimal sizing and operational management of DERs and ESSs within each identified microgrid to ensure energy self-sufficiency and minimize greenhouse gas (GHG) emissions. In the third stage, an optimal resource allocation strategy is implemented, where the resources determined in the previous stage are optimally placed within the distribution network to achieve optimal power flow, reduce system losses, and maintain voltage stability under worst-case operating conditions. The proposed framework is validated using the IEEE 33-bus test system. Simulation results demonstrate its effectiveness in multi-microgrid classification, coordinated planning, and resource allocation, highlighting its superiority in enhancing system performance and resilience. Full article
(This article belongs to the Special Issue Advances in Microgrids Energy Management with Integrated Renewables and Power Electronics—2nd Edition)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop