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Application of Advanced Control Theories to Power Electronics and Power Systems: 2nd Edition

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

Deadline for manuscript submissions: 10 August 2025 | Viewed by 82

Special Issue Editor


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Guest Editor
Department of Electrical Engineering, Institute of Engineering-Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4249-015 Porto, Portugal
Interests: photovoltaic systems; fractional order control systems; fuzzy control systems; evolutionary algorithms
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Special Issue Information

Dear Colleagues,

Power electronics and power systems involve many areas strongly important in the real world. Nowadays, these systems are related to the areas of energy markets and regulation, electric machines and drives, electronic devices, inverters, power converters, control, computational techniques or artificial intelligent algorithms, among many others.

The research in the area of power electronics and power systems focuses its attention on the management of electrical power and control, so that global energy consumption can be reduced. Improving the efficiency of power conversion systems is crucial to reducing energy waste, particularly during conversion.

In these fields, many works have aimed to improve the cost-effectiveness and efficiency of power electronics technologies and to guarantee the stability, reliability, and flexibility of power systems. To achieve that, several techniques have been implemented in industries in the fields of optimization converter topologies, design of advanced control algorithms, smart grid technologies, and exploring novel semiconductor devices. Nevertheless, some challenges related to power generation, the integration of renewable energy sources, the implementation of more efficient control algorithms, and the improvement of energetic distribution still need to be addressed.

In this perspective, the main topics of this Special Issue include, but are not limited to:

  • Advanced power semiconductor devices;
  • Medium voltage power electronics for applications in renewable energy;
  • Energy storage and smart grid systems;
  • High-frequency-power-electronic conversion systems;
  • DC power grids;
  • Power system analyses;
  • Modeling and simulation of power systems;
  • Energy system optimization;
  • Electricity markets;
  • Distributed generation;
  • Artificially intelligent algorithms for power systems.

Prof. Dr. Isabel Jesus
Guest Editor

Manuscript Submission Information

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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

  • advanced power semiconductor devices
  • medium voltage power electronics for applications in renewable energy
  • energy storage and smart grid systems
  • high-frequency-power-electronic conversion systems
  • DC power grids
  • power system analyses
  • modeling and simulation of power systems
  • energy system optimization
  • electricity markets
  • distributed generation
  • artificially intelligent algorithms for power systems

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Published Papers (1 paper)

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Research

21 pages, 2477 KiB  
Article
Photovoltaic Hosting Capacity Assessment of Distribution Networks Considering Source–Load Uncertainty
by Chao Chen, Weifeng Peng, Cheng Xie, Shufeng Dong and Yibo Hua
Energies 2025, 18(8), 2134; https://doi.org/10.3390/en18082134 - 21 Apr 2025
Abstract
With the continuous expansion of distributed photovoltaic (PV) integration, the hosting capacity of distribution networks has become a critical issue in power system planning and operation. Under varying meteorological and load fluctuation conditions, traditional assessment methods often face adaptability and uncertainty handling challenges. [...] Read more.
With the continuous expansion of distributed photovoltaic (PV) integration, the hosting capacity of distribution networks has become a critical issue in power system planning and operation. Under varying meteorological and load fluctuation conditions, traditional assessment methods often face adaptability and uncertainty handling challenges. To enhance the practical applicability and accuracy of hosting capacity evaluations, this paper proposes a PV hosting capacity assessment model that incorporates source–load uncertainty and constructs an alternative scenario optimization evaluation framework driven by target-oriented scenario generation. The model considers system constraints and employs the sparrow search algorithm (SSA) to optimize the maximum PV hosting capacity. On the source side, PV output scenarios with temporal characteristics are generated based on the mapping relationship between meteorological factors and PV power. On the load side, historical data are employed to extract fluctuation ranges and to introduce random perturbations to simulate load uncertainty. In addition, a PV power scenario generation method based on the Wasserstein generative adversarial network with gradient penalty (WGAN-GP) is proposed, integrating physical-data dual-driven strategies to enhance the physical consistency of generated data, while incorporating a target-driven weighted sampling mechanism to improve its learning ability for key features. Case studies verify that the proposed method demonstrates strong adaptability and accuracy under varying meteorological and load conditions. Full article
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