Applied Technologies for Renewable Energies Integration in Power Systems

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

Deadline for manuscript submissions: closed (1 April 2023) | Viewed by 2380

Special Issue Editors


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Electrical Engineering Department, Polytechnic University of Catalonia (EEBE-UPC), Avinguda Eduard Maristany 16, Building A, Office A9.7, 08019 Barcelona, Spain
Interests: energy transition; energy management systems; renewable energies; biomass; hydrogen; microgrids; Smart Grid; power quality; power calculation; space microgrids; lunar microgrids
Special Issues, Collections and Topics in MDPI journals
Electric Engineering Department, Barcelona East School of Engineering (EEBE), Polytechnic University of Catalonia (UPC), Barcelona, Spain
Interests: power electronics; power quality; grid monitoring; renewable energy systems; nonlinear control of power electronics and microgrids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Power and energy conversion, distribution and management face critical challenges in the current context of energy transition. Novel equipment designs, control strategies, approaches and techniques are beign developed to achieve the necessary improvements in full-scale power systems. Integrating renewable energy sources, storage and distribution in a conventional electrical grid network is also a fundamental milestone toward achieving the smart grid concept. A multidisciplinary approach is essential for achieving these goals, along with adhering to the UN SDG (Agenda 2030) and the commitment to the de-carbonization of society.

Novel emerging energy vectors, such as marine power and biofuels, and classical energy vectors, such as wind or solar energy, constitute the distributed generational core of future smart grid. Their integration should be able to cope with the associated generation intermittencies and uncertainties. These issues drive power quality degradation, protection management challenges, and a lack of efficiency in generation and distribution, etc.

The scope of this Special Issue comprises renewable energies conversion efficiency, enhancement in power quality, applied techniques for electrical machines and generation, novel power electronic equipment, smart sensors, renewable energies integration, marine power, on-shore and off-shore wind power, solar power, biofuels and biomass.

The main topics of interest for this Special Issue include but are not limited to:

  1. Power systems integration;
  2. Power quality in distribution;
  3. Electronic equipment and instrumentation for electrotechnical applications;
  4. Renewable energies conversion efficiency and sustainable development;
  5. Applied techniques in energy systems and electrical machinery (control);
  6. Smart sensors/sensors arrays and virtual instrumentation;
  7. IoT for industrial automation or energy management;
  8. Active power filters designs for power quality;
  9. Protections in distribution networks;
  10. Renewable energies systems integration (wind, marine, solar, biomass);
  11. Frequency and voltage stability in power systems.

Dr. Jorge El Mariachet
Prof. Dr. José Matas
Guest Editors

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Keywords

  • power systems
  • power quality in distribution
  • electronic equipment
  • renewable energies
  • conversion efficiency
  • control
  • smart sensors/sensors arrays
  • IoT
  • active power filters
  • protections
  • renewable energies integration
  • wind
  • marine
  • solar
  • biofuels and biomass

Published Papers (1 paper)

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Research

14 pages, 2785 KiB  
Article
An Algorithm Based on Improved K_shell Key Node Identification of the Power Grid Integrated with Renewable Energy
by Di Zhang, Yaxiong Kang, Li Ji, Ruifeng Shi and Limin Jia
Electronics 2023, 12(1), 85; https://doi.org/10.3390/electronics12010085 - 26 Dec 2022
Cited by 1 | Viewed by 1641
Abstract
In this paper, we propose an improved K_shell algorithm for identifying the key nodes of a power grid. This method is improved on the basis of the original Ks value calculation with the degree as the index. The electrical characteristics in the power [...] Read more.
In this paper, we propose an improved K_shell algorithm for identifying the key nodes of a power grid. This method is improved on the basis of the original Ks value calculation with the degree as the index. The electrical characteristics in the power grid are weighted to the network measure and then added as the new Ks value. The new key nodes are selected by iteratively refreshing the network. Additionally, combined with an entropy weight method, the comprehensive weights of the above indicators are reported from objective viewpoints to obtain key nodes of the power grid. Then, an IEEE 39-bus system is used for simulation. The results show that the key nodes can be identified more accurately by comprehensively considering the structural and electrical characteristics of the power grid by establishing multidimensional indicators and comparing the results with those of other studies. Finally, taking full account of the electrical information of the grid node and its neighboring nodes, a reasonable load redistribution strategy for faulty nodes is formulated, which more effectively reflects the grid performance by comparing it with the Thiel entropy method and the maximum flow method in the literature. The results show that the proposed method improves the influences of key nodes on the grid load by 5.6%, and improves the network efficiency by 15.7%. Full article
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