Optimal Allocation and Control of Superconducting Fault Current Limiter and ‎Superconducting Magnetic Energy Storage in Mesh Microgrid Networks to ‎Improve Fault Ride Through

Voltage drop during the fault can be effected on the performance of generation units such as wind turbines. The ability to ride through the fault is important for these generation units. Superconducting fault current limiter and superconducting magnetic energy storage can improve the fault ride thro...

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Main Authors: A. Komijani, M. Kheradmandi, M. Sedighizadeh
Format: Article
Language:English
Published: University of Mohaghegh Ardabili 2023-04-01
Series:Journal of Operation and Automation in Power Engineering
Subjects:
Online Access:http://joape.uma.ac.ir/article_1472_2ee642dd875b13a1e7c51b529de8b387.pdf
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author A. Komijani
M. Kheradmandi
M. Sedighizadeh
author_facet A. Komijani
M. Kheradmandi
M. Sedighizadeh
author_sort A. Komijani
collection DOAJ
description Voltage drop during the fault can be effected on the performance of generation units such as wind turbines. The ability to ride through the fault is important for these generation units. Superconducting fault current limiter and superconducting magnetic energy storage can improve the fault ride through due to fault current limiting and voltage restoring ability during the fault, respectively. This paper presents a method for optimal allocation and control of superconducting magnetic energy storage and superconducting fault current limiters in meshed microgrids. For this purpose, the doubly-fed induction generator voltage deviation, the point of common coupling power deviation, the fault current of transmission lines, and superconducting fault current limiter and superconducting magnetic energy storage characteristics were considered as objective functions. In this paper, the optimization is performed in single-step and two-step by particle swarm optimization algorithm, and the system with the optimal superconducting magnetic energy storage and superconducting fault current limiters are analyzed and compared. The results of simulations show superconducting fault current limiter and superconducting magnetic energy storage reduce 85% of voltage drop, decreases 63% of doubly fed induction generator power deviation, and limits the maximum fault current of transmission lines by 9.8 pu. Finally, the status of the studied system variables has been investigated, in two scenarios related to the different fault locations with equipment that the optimal allocated.
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spelling doaj.art-b589eaf962b9473db6163101070957ca2022-12-22T00:28:12ZengUniversity of Mohaghegh ArdabiliJournal of Operation and Automation in Power Engineering2322-45762023-04-01111223210.22098/joape.2023.9577.16681472Optimal Allocation and Control of Superconducting Fault Current Limiter and ‎Superconducting Magnetic Energy Storage in Mesh Microgrid Networks to ‎Improve Fault Ride ThroughA. Komijani0M. Kheradmandi1M. Sedighizadeh2Department of Electrical Engineering, Shahid Beheshti University, Evin, Tehran, Iran.‎Department of Electrical Engineering, Shahid Beheshti University, Evin, Tehran, Iran.‎Department of Electrical Engineering, Shahid Beheshti University, Evin, Tehran, Iran.‎Voltage drop during the fault can be effected on the performance of generation units such as wind turbines. The ability to ride through the fault is important for these generation units. Superconducting fault current limiter and superconducting magnetic energy storage can improve the fault ride through due to fault current limiting and voltage restoring ability during the fault, respectively. This paper presents a method for optimal allocation and control of superconducting magnetic energy storage and superconducting fault current limiters in meshed microgrids. For this purpose, the doubly-fed induction generator voltage deviation, the point of common coupling power deviation, the fault current of transmission lines, and superconducting fault current limiter and superconducting magnetic energy storage characteristics were considered as objective functions. In this paper, the optimization is performed in single-step and two-step by particle swarm optimization algorithm, and the system with the optimal superconducting magnetic energy storage and superconducting fault current limiters are analyzed and compared. The results of simulations show superconducting fault current limiter and superconducting magnetic energy storage reduce 85% of voltage drop, decreases 63% of doubly fed induction generator power deviation, and limits the maximum fault current of transmission lines by 9.8 pu. Finally, the status of the studied system variables has been investigated, in two scenarios related to the different fault locations with equipment that the optimal allocated.http://joape.uma.ac.ir/article_1472_2ee642dd875b13a1e7c51b529de8b387.pdfmeshed microgridsuperconducting fault current limitersuperconducting magnetic energy storageoptimization
spellingShingle A. Komijani
M. Kheradmandi
M. Sedighizadeh
Optimal Allocation and Control of Superconducting Fault Current Limiter and ‎Superconducting Magnetic Energy Storage in Mesh Microgrid Networks to ‎Improve Fault Ride Through
Journal of Operation and Automation in Power Engineering
meshed microgrid
superconducting fault current limiter
superconducting magnetic energy storage
optimization
title Optimal Allocation and Control of Superconducting Fault Current Limiter and ‎Superconducting Magnetic Energy Storage in Mesh Microgrid Networks to ‎Improve Fault Ride Through
title_full Optimal Allocation and Control of Superconducting Fault Current Limiter and ‎Superconducting Magnetic Energy Storage in Mesh Microgrid Networks to ‎Improve Fault Ride Through
title_fullStr Optimal Allocation and Control of Superconducting Fault Current Limiter and ‎Superconducting Magnetic Energy Storage in Mesh Microgrid Networks to ‎Improve Fault Ride Through
title_full_unstemmed Optimal Allocation and Control of Superconducting Fault Current Limiter and ‎Superconducting Magnetic Energy Storage in Mesh Microgrid Networks to ‎Improve Fault Ride Through
title_short Optimal Allocation and Control of Superconducting Fault Current Limiter and ‎Superconducting Magnetic Energy Storage in Mesh Microgrid Networks to ‎Improve Fault Ride Through
title_sort optimal allocation and control of superconducting fault current limiter and ‎superconducting magnetic energy storage in mesh microgrid networks to ‎improve fault ride through
topic meshed microgrid
superconducting fault current limiter
superconducting magnetic energy storage
optimization
url http://joape.uma.ac.ir/article_1472_2ee642dd875b13a1e7c51b529de8b387.pdf
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AT mkheradmandi optimalallocationandcontrolofsuperconductingfaultcurrentlimiterandsuperconductingmagneticenergystorageinmeshmicrogridnetworkstoimprovefaultridethrough
AT msedighizadeh optimalallocationandcontrolofsuperconductingfaultcurrentlimiterandsuperconductingmagneticenergystorageinmeshmicrogridnetworkstoimprovefaultridethrough