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Advanced Power Electronics and Sustainable Energy Systems: Recent Developments, Challenges...
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Advanced Power Electronics and Sustainable Energy Systems: Recent Developments, Challenges and Future Perspectives

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 15 September 2025 | Viewed by 3416

Special Issue Editors

Prof. Dr. Jizhong Zhu

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Guest Editor
School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China
Interests: power system; renewable energy; smart grid
Special Issues, Collections and Topics in MDPI journals
Dr. Hongying He

E-Mail Website
Guest Editor
School of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Interests: load prediction; distributed energy management; application of artificial intelligence in power systems; insulation fault diagnosis of high voltage
Dr. Di Zhang

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Guest Editor
School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China
Interests: power system low-carbon dispatch; power system resilience; application of artificial intelligence in power systems; demand side management
Dr. Ziyu Chen

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Guest Editor
School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China
Interests: operation and control of cyber-physical-social systems; cyber attack detection; electricity market trading mechanism; electricity-carbon coordinated optimization dispatch
Dr. Shenglin Li

E-Mail Website
Guest Editor
School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China
Interests: demand-side energy management; distributed energy resources; renewable energy microgrids; active distribution networks

Special Issue Information

Dear Colleagues,

Energy is the cornerstone and motivational force of modern industry. The energy revolution will introduce a new generation of electrical technology applications in industries. Power electronics provide multiple ways for many new challenges arising from a dynamic and accelerated transformation towards a carbon-neutral energy system to be solved. From generation to consumption, power electronics enables solutions such as battery energy storage systems, pumped hydro storage, hydrogen production, and conversion back to electricity.

In past decades, power electronics has brought about efficiency, compactness, and reliability, which have strongly contributed to the journey towards achieving carbon-neutral targets. The combination of digital technologies and PE facilitates the control of the system by gathering and analyzing data, and thus improving decision-making. Edge and cloud solutions improve the control and interaction of PE solutions with the power grid. Augmented reality, machine learning, digital twin technologies, virtual technology, and artificial intelligence bring about more healthy management and new experiences.

Due to its speed and outcome, the energy system is now undergoing a tremendous ‘revolution’. Increasing sustainability and environmental attention and supporting new technology developments in the power sector are making electricity the backbone of the future energy system. Its speed of reaction, flexibility of control, and the scalability across power and voltage levels are key attributes that will ensure resiliency of the future energy system.

This Special Issue, entitled “Advanced Power Electronics and Sustainable Energy Systems: Recent Developments, Challenges and Future Perspectives”, provides an exchange platform for researchers in related fields.

The scope of this Special Issue includes, but is not limited to, the following topics:

  • Sustainable energy production;
  • optimization of conventional energy resources;
  • electricity storage and energy efficiency;
  • objectives of using renewable energy;
  • renewable energy management and environmental impact;
  • power planning reducing emissions;
  • envisioning future energy systems;
  • energy harvesting;
  • clean and renewable energy;
  • photovoltaic systems;
  • wind energy systems;
  • new energy applications;
  • energy-saving technology;
  • energy management system;
  • active load management;
  • demand management;
  • market operation system.

Prof. Dr. Jizhong Zhu
Dr. Hongying He
Dr. Di Zhang
Dr. Ziyu Chen
Dr. Shenglin Li
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 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. Electronics 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

  • integrated energy system
  • sustainable energy system
  • wind power
  • power system operation optimization
  • application of artificial intelligence in power systems
  • renewable energy
  • energy management
  • electric carbon collaboration

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Published Papers (4 papers)

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Research

22 pages, 2442 KiB  
Article
Generator-Level Transient Stability Assessment in Power System Based on Graph Deep Learning with Sparse Hybrid Pooling
by Jiyu Huang, Lin Guan, Yinsheng Su, Zihan Cai, Liukai Chen, Yongzhe Li and Jinyang Zhang
Electronics 2025, 14(6), 1180; https://doi.org/10.3390/electronics14061180 - 17 Mar 2025
Viewed by 181
Abstract
Aimed at increasingly challenging operation conditions in modern power systems, online pre-fault transient stability assessment (TSA) acts as a significant tool to detect latent stability risks and provide abundant generator-level information for preventive controls. Distinguished from “system-level” to describe terms concerning the whole [...] Read more.
Aimed at increasingly challenging operation conditions in modern power systems, online pre-fault transient stability assessment (TSA) acts as a significant tool to detect latent stability risks and provide abundant generator-level information for preventive controls. Distinguished from “system-level” to describe terms concerning the whole system, here “generator-level” describes those concerning a generator. Due to poor topology-related expressive power, existing deep learning-based TSA methods can hardly predict generator-level stability indexes, unless they adopt the generator dynamics during and after faults by time-domain simulation (TDS) as the model input. This makes it difficult to fully leverage the speed advantages of deep learning. In this paper, we propose a generator-level TSA (GTSA) scheme based on topology-oriented graph deep learning which no longer requires time-domain simulation to provide the dynamic features. It integrates two modules to extract the network-dominated interaction trends from only the steady-state information. A sparse Edge Contraction-based Attention Pooling (ECAP) scheme is designed to dynamically simplify the network structure by feature aggregation, where the generator-specific information and key area features are kept. A Global Attention Pooling (GAP) module works to generate the interaction features among generators across the system. Hence, the constructed ECAP&GAP-GTSA scheme can not only output the system stability category but also provide the dominant generators and inter-generator oscillation severity. The performance as well as interpretability and generalization of our scheme are validated on the IEEE 39-bus system and the IEEE 300-bus system under various operation topologies and generator scales. The averaging inference time of a sample on the IEEE 39-bus system and IEEE 300-bus system is merely 1/671 and 1/149 of that of TDS, while the accuracy reaches about 99%. Full article
(This article belongs to the Special Issue Advanced Power Electronics and Sustainable Energy Systems: Recent Developments, Challenges and Future Perspectives)
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29 pages, 8045 KiB  
Article
A Surrogate-Assisted Intelligent Adaptive Generation Framework for Cost-Effective Coal Blending Strategy in Thermal Power Units
by Xiang Wang, Siyu Wu, Teng Wang and Jiangrui Ding
Electronics 2025, 14(3), 561; https://doi.org/10.3390/electronics14030561 - 30 Jan 2025
Viewed by 618
Abstract
The coal cost of coal-fired units accounts for more than 70% of the total power generation cost. In addition to determining coal costs, coal blending strategies (CBS) significantly impact various types of costs, such as pollutant removal and emissions. To address these issues, [...] Read more.
The coal cost of coal-fired units accounts for more than 70% of the total power generation cost. In addition to determining coal costs, coal blending strategies (CBS) significantly impact various types of costs, such as pollutant removal and emissions. To address these issues, we propose a framework for generating cost-effective CBS. The framework includes a unit output condition recognition module (UOCR) that enables the adaptive classification of output conditions based on historical operation datasets, performing intelligent condition recognition with Imitator and pre-trained image classification models using blending strategies and unit parameters as inputs. The cost-effective strategy generation module (CESG) employs a surrogate model to evaluate the economic viability of strategies in terms of coal and environmental costs, among other factors. It also employs UOCR as another surrogate model to validate strategy feasibility. Cost-effective strategies are generated via a population-based metaheuristic algorithm. In the case study, the UOCR achieved an average training accuracy of 96.64%, and the generated cost-effective strategies reduced costs by an average of 3.37% compared to currently implemented strategies. Full article
(This article belongs to the Special Issue Advanced Power Electronics and Sustainable Energy Systems: Recent Developments, Challenges and Future Perspectives)
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25 pages, 3439 KiB  
Article
Research on Multi-Microgrid Electricity–Carbon Collaborative Sharing and Benefit Allocation Based on Emergy Value and Carbon Trading
by Yanhe Yin, Yong Xiao, Zhijie Ruan, Yuxin Lu, Jizhong Zhu, Linying Huang and Jing Lan
Electronics 2024, 13(17), 3394; https://doi.org/10.3390/electronics13173394 - 26 Aug 2024
Viewed by 1114
Abstract
In response to climate change, the proportion of renewable energy penetration is increasing daily. However, there is a lack of flexible energy transfer mechanisms. The optimization effect of low-carbon economic dispatch in a single park is limited. In the context of the sharing [...] Read more.
In response to climate change, the proportion of renewable energy penetration is increasing daily. However, there is a lack of flexible energy transfer mechanisms. The optimization effect of low-carbon economic dispatch in a single park is limited. In the context of the sharing economy, this study proposes a research method for multi-park electricity sharing and benefit allocation based on carbon credit trading. Firstly, a framework for multi-park system operation is constructed, and an energy hub model is established for the electrical, cooling, and heating interconnections with various energy conversions. Secondly, a park carbon emission reduction trading model is established based on the carbon credit mechanism, further forming an optimal economic and environmental dispatch strategy for multi-park electricity sharing. Matlab+Gurobi is used for solving. Then, based on asymmetric Nash bargaining, the comprehensive contribution rate of each park is calculated by considering their energy contribution and carbon emission reduction contribution, thereby achieving a fair distribution of cooperation benefits among multiple parks. The results show that the proposed method can effectively reduce the overall operational cost of multiple parks and decrease carbon emissions, and the benefit allocation strategy used is fair and reasonable, effectively motivating the construction of new energy in parks and encouraging active participation in cooperative operations by all parks. Full article
(This article belongs to the Special Issue Advanced Power Electronics and Sustainable Energy Systems: Recent Developments, Challenges and Future Perspectives)
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29 pages, 5764 KiB  
Article
Evaluation and Improvement of the Flexibility of Biomass Blended Burning Units in a Virtual Power Plant
by Qiwei Zheng, Heng Chen, Kaijie Gou, Peiyuan Pan, Gang Xu and Guoqiang Zhang
Electronics 2024, 13(16), 3320; https://doi.org/10.3390/electronics13163320 - 21 Aug 2024
Cited by 1 | Viewed by 929
Abstract
Aiming at the problems of small thermal power units and biomass mixed combustion units with small generation loads and insufficient primary frequency modulation capability, which cannot be connected to the virtual power plant, this paper adopts a variety of flexibility retrofit methods for [...] Read more.
Aiming at the problems of small thermal power units and biomass mixed combustion units with small generation loads and insufficient primary frequency modulation capability, which cannot be connected to the virtual power plant, this paper adopts a variety of flexibility retrofit methods for the units and explores the peak load capability of the units. Then, multiple units are coupled, and the unit coupling scheme with better economy and environmental protection is screened using comprehensive evaluation indexes. While evaluating the peaking load space of multiple unit coupling, the units’ primary frequency regulation capability and new energy consumption capability are improved. According to the calculation results, the low-pressure cylinder zero-output retrofit has the largest peaking potential among different technical paths, in which unit #3 has 27.55 MW of peaking space. The compression heat pump decoupling retrofit has the best economy, in which the daily profit of unit #3 increases from 0.93 to 1.02 million CNY with an increase of 0.09 million CNY. After the unit has been retrofitted with steam extraction, the three units can be coupled to meet the national feed-in standards. The multiple unit coupling can accommodate up to 203.44 MW of other energy sources while meeting the standard. Full article
(This article belongs to the Special Issue Advanced Power Electronics and Sustainable Energy Systems: Recent Developments, Challenges and Future Perspectives)
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