Grid Influence by Increasing the Penetration of Renewable Energy Based on Power Electronics

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

Deadline for manuscript submissions: closed (15 May 2022) | Viewed by 5388

Special Issue Editors


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Guest Editor
Department of Electrical Engineering, Hanbat National University, Daejeon 305-719, Republic of Korea
Interests: renewable energy; power system integration

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Guest Editor
Department of Electronics, Information and BioEngineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, MI, Italy
Interests: simulation and modelling of electrical systems; hardware in the loop simulation; electrical vehicle simulation and modelling; smart grid simulation; Industry 4.0
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Guest Editor
Department of Electrical, Computer and Software Engineering, Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, ON L1G 0C5, Canada
Interests: smart grid; power system protection and automation; renewable energy systems

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Guest Editor
Institute of Marine Engineering, National Research Council of Italy, via Ugo La Malfa 153, 90146 Palermo, Italy
Interests: MV and LV real-time network management; load flow; power line communications; smart grid solutions; transducer characterization in non-sinusoidal conditions
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Power conversion system (PCS)-based renewable generation systems are currently experiencing rapid growth in power grids. The stability and dynamic response issues of power grids are receiving attention with this trend. The main focus of this Special Issue is to provide a plan that can solve these issues on the operator side. PCS-based units offer the possibility of providing new ancillary services to several industrial sectors. In order to utilize the entire function of PCSs in expanding clusters of renewable generators, several studies must be carried out, from the detailed study of electronic devices to comprehensive operational strategies consisting of large-scale renewable-generation farms. This Special Issue of Electronics, “Grid influence by increasing the penetration of renewable energy based on power electronics”, intends to present novel promising methods and techniques to cover the high penetration of power-electronic-based renewable resources in the power grid.

Prospective authors are invited to submit original contributions for publication in this Special Issue. Topics of interest include, but are not limited to:

  • Supplementary control design of renewable energy in grid operation, support, and management;
  • Power electronics combined models and solutions including storage devices;
  • Frequency and voltage regulation in large-scale renewable farms;
  • HVDC composition and operation for large-scale renewable energy;
  • Frequency control of grid with high penetration of renewable generation systems;
  • Hardware-in-the-loop methodology for performance evaluation;
  • Smart communication integrated with power converters for control design of renewable energy in grid operation, support, and management;
  • Power quality issues on grids with high penetration of power conversion systems;
  • Monitoring, management and communication devices and architectures for distributed generation and storage system integration in smart grid framework.

Dr. Seungmin Jung
Dr. Giambattista Gruosso
Prof. Dr. Tarlochan Sidhu
Dr. Dario Di Cara
Guest Editors

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Keywords

  • renewable penetration
  • renewable energy
  • grid stability
  • smart and distributed generation

Published Papers (3 papers)

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Research

13 pages, 2416 KiB  
Article
Analysis of the Impact of Particulate Matter on Net Load and Behind-the-Meter PV Decoupling
by Yeuntae Yoo and Seokheon Cho
Electronics 2022, 11(14), 2261; https://doi.org/10.3390/electronics11142261 - 20 Jul 2022
Viewed by 1245
Abstract
With the increasing penetration of the photovoltaic (PV) generator, uncertainty surrounding the power system has increased simultaneously. The uncertainty of PV generation output has an impact on the load demand forecast due to the presence of behind-the-meter (BtM) PV generation. As it is [...] Read more.
With the increasing penetration of the photovoltaic (PV) generator, uncertainty surrounding the power system has increased simultaneously. The uncertainty of PV generation output has an impact on the load demand forecast due to the presence of behind-the-meter (BtM) PV generation. As it is hard to assess the amount of BtM PV generation, the load demand pattern can be distorted depending on the solar irradiation level. In several literature works, the influence of the load demand pattern from BtM PV generation is modeled using environmental data sets such as the level of solar irradiation, temperature, and past load demand data. The particulate matter is a severe meteorological event in several countries that can reduce the level of solar irradiation on the surface. The accuracy of the forecast model for PV generation and load demand can be exacerbated if the impact of the particulate matter is not properly considered. In this paper, the impact of particulate matter to load demand patterns is analyzed for the power system with high penetration of BtM PV generation. Actual meteorological data are gathered for the analysis and correlations between parameters are built using Gaussian process regression. Full article
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14 pages, 4641 KiB  
Article
Development of Reactive Power Allocation Method for Radial Structure Wind Farm Considering Multiple Connections
by Deokki Yoo, Sungwoo Kang, Gilsoo Jang and Seungmin Jung
Electronics 2022, 11(14), 2176; https://doi.org/10.3390/electronics11142176 - 11 Jul 2022
Cited by 2 | Viewed by 1510
Abstract
In recent years, the number of wind farms consisting of type 3 and type 4 wind turbines located within the distribution system has been growing rapidly. Wind turbines can be utilized as a continuous reactive power source to support the system voltage by [...] Read more.
In recent years, the number of wind farms consisting of type 3 and type 4 wind turbines located within the distribution system has been growing rapidly. Wind turbines can be utilized as a continuous reactive power source to support the system voltage by taking advantage of their reactive power control capability. This paper aims to further develop the reactive power assignment strategy in order to minimize losses in wind farms described in the published paper. We introduce the method of reconfiguration and numbering to apply the algorithm to the wind farm structure and develop the previously-defined allocation ratio into two types of allocation ratios. The goal is to apply the loss minimization algorithm to a wind farm configuration with up to two wind turbines connected to one ring main unit (RMU). The proposed strategy reduces power loss and increases the real power flow in the wind farm by allocating reactive power to connected wind turbines taking into account the resistance value. The proposed allocation technique is validated in a Real Time Digital Simulator (RTDS)-based Hardware-in-the-loop Simulation (HILS) environment considering the Dongbok wind farm configuration in Jeju, South Korea. In the simulation, a Raspberry Pi acts as a wind farm controller sending a reactive power dispatch signal to each wind turbine via Modbus TCP/IP protocol. The simulation results mean that, applying the proposed algorithm, we can expect loss reduction effects in the wind farm. Full article
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19 pages, 8610 KiB  
Article
Analysis and Design of a Smart Controller for Managing Penetration of Renewable Energy Including Cybersecurity Issues
by Harshavardhan Palahalli, Marziyeh Hemmati and Giambattista Gruosso
Electronics 2022, 11(12), 1861; https://doi.org/10.3390/electronics11121861 - 13 Jun 2022
Cited by 6 | Viewed by 1854
Abstract
This article presents an optimal distributed energy resource management system for a smart grid connected to photovoltaics, battery energy storage, and an electric vehicle aggregator. These management systems are one of the key factors for the optimal control of power converters connected to [...] Read more.
This article presents an optimal distributed energy resource management system for a smart grid connected to photovoltaics, battery energy storage, and an electric vehicle aggregator. These management systems are one of the key factors for the optimal control of power converters connected to the grid. The proposed management system includes the communication architecture necessary for realizing the information flow between the individual control of the distributed generators and the master supervisory control algorithm. The work carried out on two levels is first to design a control strategy for energy management and validate it with the grid in real-time hardware-in-the-loop simulation integrating the IEC61850 communication layer and physical intelligent electronic devices. The second is to analyze the vulnerabilities of the designed methodology for cybersecurity threats explicitly with the extension of IEC61850 to electric vehicle aggregators for communication with the master energy management. A man-in-the-middle attack conducted in the supervisory communication layer enabled us to investigate the effects of such an attack on the performance and operation of the smart electric grid. Full article
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