Special Issue "Micro Grid Protection"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Smart Grids and Microgrids".

Deadline for manuscript submissions: 29 February 2020.

Special Issue Editor

Prof. Dr. Chul Hwan Kim
E-Mail Website
Guest Editor
Sungkyunkwan University, College of Information and Communication Engineering, Jongno-gu, South Korea
Interests: electric power systems; electrical and electronics engineering; renewable energy technologies; electrical power engineering; power systems analysis; power systems simulation; power engineering; distributed generation; power systems modelling; power quality; power transmission; power system protection; grid integration; power system studies; transmission; lightning; lightning protection; EMTP

Special Issue Information

Dear Colleagues,

One of the most efficient ways of integrating a significant number of distributed generation (DG) into power systems is by using a micro grid (MG). The MG is a small distribution system consisting of DG, loads, and energy management systems (EMSs). MG operation, such as switching between grid-connected and islanded modes, enhances the distribution system's reliability, power quality, and efficiency. The difference between the MG operation and the conventional distribution system, however, raises several protection problems.

Because, in each scenario, the MG experiences a substantially different fault current as a result of bidirectional power flows, radial-loop switching between topologies, and various scenarios in the grid-tied and islanded mode for a similar fault location, protection schemes designed for traditional distribution systems cannot be implemented to the MG. The MG protection schemes have to deal with the issues mentioned above.

This Special Issue will help in the expansion of innovative technology for MG protection. Publication topics of concern include, but are not limited to, adaptive protection, intelligent fault detection, classification of faults, and islanding detection. For the advancement of MG protection technology, we welcome all papers linked to the subjects listed above. In addition, we would like to thank the readers and authors interested in this Special Issue.

Prof. Dr. Chul Hwan Kim
Guest Editor

Manuscript Submission Information

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Keywords

  • protection algorithm
  • protection equipment and applications
  • protective coordination
  • adaptive protection scheme
  • intelligent fault detection and classification
  • fault location
  • islanding detection
  • distributed generation protection
  • grid interconnection
  • operation of micro grid
  • renewable energy technology

Published Papers (3 papers)

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Research

Open AccessArticle
An Innovative Operation Strategy of ESS for Capacity Expansion of Renewable Energy and Customer Load with Electric Vehicle Chargers in Low Voltage Distribution Systems
Energies 2019, 12(24), 4668; https://doi.org/10.3390/en12244668 - 09 Dec 2019
Abstract
This paper proposes an innovative operation strategy to extend the acceptance of EVC (Electric Vehicle Charger) and RES (Renewable Energy Resource) in LVDS (Low Voltage Distribution System) by introducing an ESS (Energy Storage System). In conventional LVDS, the load and RES capacity are [...] Read more.
This paper proposes an innovative operation strategy to extend the acceptance of EVC (Electric Vehicle Charger) and RES (Renewable Energy Resource) in LVDS (Low Voltage Distribution System) by introducing an ESS (Energy Storage System). In conventional LVDS, the load and RES capacity are designed not to exceed the pole transformer capacity. However, when the ESS is connected to the end of LVDS and the bidirectional power flow becomes possible, the linkable capacity of the load and renewable energy can be improved up to twice the capacity of the pole transformer. In addition, even though the power consumption of the load and the power generation of RES exceed the pole transformer capacity, it is possible to maintain the feeder capacity and grid voltage within the allowable limit by the appropriate operation of the ESS. The simulations are performed in the environment of PSCAD/EMTDC, and the ability of the proposed strategy is assessed and discussed. Full article
(This article belongs to the Special Issue Micro Grid Protection)
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Open AccessArticle
Photovoltaic-Driven SiC MOSFET Circuit Breaker with Latching and Current Limiting Capability
Energies 2019, 12(23), 4585; https://doi.org/10.3390/en12234585 - 02 Dec 2019
Abstract
This paper introduces a Solid State Circuit Breaker with Latching and Current Limiting capabilities for DC distribution systems. The proposed circuit uses very few electronic parts and it is fully analog. A SiC N-MOSFET driven by a photovoltaic driver and a maximum current [...] Read more.
This paper introduces a Solid State Circuit Breaker with Latching and Current Limiting capabilities for DC distribution systems. The proposed circuit uses very few electronic parts and it is fully analog. A SiC N-MOSFET driven by a photovoltaic driver and a maximum current detector circuit are the core elements of the system. This work details circuit operation under different conditions and includes experimental validation at 1 kVdc. Wide versatility, highly configurable, and very fast response, less than 1 µs in the case of short-circuit, are the most remarkable outcomes. Full article
(This article belongs to the Special Issue Micro Grid Protection)
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Open AccessArticle
Intelligent Fault Classification and Location Identification Method for Microgrids Using Discrete Orthonormal Stockwell Transform-Based Optimized Multi-Kernel Extreme Learning Machine
Energies 2019, 12(23), 4504; https://doi.org/10.3390/en12234504 - 27 Nov 2019
Abstract
This paper proposes an intelligent fault classification and location identification method for microgrids using discrete orthonormal Stockwell transform (DOST)-based optimized multi-kernel extreme learning machine (MKELM). The proposed method first extracts useful statistical features from one cycle of post-fault current signals retrieved from sending-end [...] Read more.
This paper proposes an intelligent fault classification and location identification method for microgrids using discrete orthonormal Stockwell transform (DOST)-based optimized multi-kernel extreme learning machine (MKELM). The proposed method first extracts useful statistical features from one cycle of post-fault current signals retrieved from sending-end relays of microgrids using DOST. Then, the extracted features are normalized and fed to the MKELM as an input. The MKELM, which consists of multiple kernels in the hidden nodes of an extreme learning machine, is used for the classification and location of faults in microgrids. A genetic algorithm is employed to determine the optimum parameters of the MKELM. The performance of the proposed method is tested on the standard IEC microgrid test system for various operating conditions and fault cases, including different fault locations, fault resistance, and fault inception angles using the MATLAB/Simulink software. The test results confirm the efficacy of the proposed method for classifying and locating any type of fault in a microgrid with high performance. Furthermore, the proposed method has higher performance and is more robust to measurement noise than existing intelligent methods. Full article
(This article belongs to the Special Issue Micro Grid Protection)
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