Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.3
3.2
Journals
Energies
Special Issues
Advances in Power System and Renewable Energy
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 Power System and Renewable Energy

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: 25 February 2026 | Viewed by 462

Special Issue Editors

Prof. Dr. Fushuan Wen

E-Mail Website
Guest Editor
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Interests: smart grids and electric vehicles; power economics and electricity markets; power system investment, planning and operation optimization; power system alarm processing, fault diagnosis and system restoration
Special Issues, Collections and Topics in MDPI journals
Dr. Lei Chen

E-Mail Website
Guest Editor
School of Electrical Engineering and Automation, Wuhan University, Wuhan, China
Interests: power system protection and control; new energy grid connection stability; superconducting power application
Special Issues, Collections and Topics in MDPI journals
Dr. Jiajia Yang

E-Mail Website
Guest Editor
College of Science and Engineering, James Cook University, Townsville, QLD 4810, Australia
Interests: power system operation and optimization; smart grids; electricity markets; network modelling/planning for renewable integration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The global energy sector is undergoing a profound transformation, as most developed and some developing nations strive to meet decarbonization goals, enhance energy security, and improve grid resilience. The rapid integration of renewable energy sources (RESs) into power systems, such as solar and wind power, as well as emerging technologies like green hydrogen and tidal energy, have introduced both opportunities and challenges. Modern power systems must adapt to increasing RES penetration while maintaining security, stability, reliability and economics. Advances in smart grid technologies, energy storage, power electronics, and digitalization are critical to enabling this transition. Additionally, regulatory frameworks, market mechanisms, and economic policies play a pivotal role in accelerating the adoption of sustainable energy solutions.

This Special Issue aims to compile cutting-edge research addressing the technical, economic, and policy challenges associated with the evolution of power systems and renewable energy integration. By fostering interdisciplinary collaboration, we seek to highlight innovative approaches that can drive the transition toward a cleaner, smarter, and more resilient energy future.

We invite original research articles, review papers, and case studies that explore recent advancements in (but not limited to) the following areas:

Renewable Energy Integration

Grid-friendly inverter technologies and grid-forming control strategies
Hybrid renewable energy systems
Forecasting and uncertainty management for variable RES 

Smart Grids and Modern Power Systems

Microgrid, virtual power plant (VPP), and decentralized energy system
Artificial intelligence applications in power system and renewable energy
Security, stability, reliability, economics and resilience in smart grids
Cybersecurity in smart grids

Energy Storage and Flexible Resource

Next-generation battery technologies
Thermal, mechanical, and chemical storage systems
Flexible resource exploration and effective employment
Demand-side management and demand response strategies

Power/energy economics and electricity markets

Electricity market mechanisms and strategies
Carbon-neutral transition strategies
Renewable energy market mechanisms and pricing models
Techno-economic analysis of RES deployment
Regulatory frameworks for different kinds of markets

This Special Issue is designed for researchers, engineers, industry professionals, and policymakers working in power systems, renewable energy, and related fields. We encourage submissions that present novel methodologies, experimental validations, real-world case studies, or policy analyses that contribute to the sustainable energy transition.

Authors are invited to submit high-quality manuscripts that align with the theme of this Special Issue. All submissions will undergo a rigorous peer-review process. We look forward to your contributions!

Prof. Dr. Fushuan Wen
Dr. Lei Chen
Dr. Jiajia Yang
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

  • power system
  • renewable energy
  • power and energy economics
  • electricity market
  • energy storage
  • flexible resource

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.

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

23 pages, 4790 KB  
Article
Data-Driven Probabilistic Power Flow for Energy-Storage Planning Considering Interconnected Grids
by Tingting Cheng, Xirui Jiang, Zheng Fan, Yanan Wu, Ying Mu, Dashun Guan, Dongliang Zhang and Ying Bai
Energies 2025, 18(24), 6633; https://doi.org/10.3390/en18246633 - 18 Dec 2025
Viewed by 109
Abstract
As renewable energy penetration increases, the volatility and uncertainty of photovoltaic generation and load demand pose significant challenges to power-system stability. This paper proposes a data-driven probabilistic load-flow method that employs a Gaussian mixture model (GMM) to model uncertainties in photovoltaic generation and [...] Read more.
As renewable energy penetration increases, the volatility and uncertainty of photovoltaic generation and load demand pose significant challenges to power-system stability. This paper proposes a data-driven probabilistic load-flow method that employs a Gaussian mixture model (GMM) to model uncertainties in photovoltaic generation and load demand. Cumulative quantity analysis is then applied to conduct probabilistic load-flow studies, quantifying the impact of these uncertainties on the power system. Building upon this foundation, a two-layer optimization model is constructed to optimize the siting, capacity, and operational strategies of energy storage systems. Experimental results demonstrate that this method effectively reduces the probability of voltage-limit violations, ensures the reliability of supply–demand balance, and enhances system stability and reliability even under fluctuating PV generation and load-demand conditions. Full article
(This article belongs to the Special Issue Advances in Power System and Renewable Energy)
►▼ Show Figures

Figure 1

21 pages, 4116 KB  
Article
Lactic Fermentation Spectral Analysis of Target Substrates and Food and Feed Wastes for Energy Applications
by Mariusz Adamski, Marcin Herkowiak, Przemysław Marek, Katarzyna Dzida, Magdalena Kapłan and Kamila E. Klimek
Energies 2025, 18(23), 6360; https://doi.org/10.3390/en18236360 - 4 Dec 2025
Viewed by 176
Abstract
The article deals with the creation of a calibration model of lactic acid content in an aqueous solution. The research concept included the preparation of a control tool for the process of modifying the properties of the food fraction for methane fermentation bacteria. [...] Read more.
The article deals with the creation of a calibration model of lactic acid content in an aqueous solution. The research concept included the preparation of a control tool for the process of modifying the properties of the food fraction for methane fermentation bacteria. The thesis was formulated that it is possible to prepare a systemic solution for real-time observation and monitoring of lactic acid secretion during the digestion of a hydrated mixture of food fractions. The scientific aim of the work was to develop and verify a calibration model of lactic acid content in an aqueous mixture with limited transparency for visible light waves. The research methodology was based on near-infrared spectroscopy with multivariate analysis. Stochastic modeling with noise reduction based on orthogonal decomposition was used. A calibration model was created using Gaussian processes (GP) to predict the lactic acid concentration in an aqueous solution or mixture using an NIR-Vis spectrophotometer. The design of the calibration model was based on absorbance spectra and computational data from selected wavelength ranges from 450 nm to 1900 nm. The measurement data in the form of spectra were limited from the initial wider range (400–2250 nm) to reduce interference. The generated calibration model achieved a mean error level not exceeding 2.47 g∙dm−3 of the identified lactic acid fraction. The coefficient of determination R2 was 0.996. The effect of absorbing the emitter waves was achieved despite the limited transparency of the mixture. Full article
(This article belongs to the Special Issue Advances in Power System and Renewable Energy)
►▼ 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