Performance of static synchronous series compensator and superconducting magnetic energy storage controllers for frequency regulation in two area hybrid wind‐thermal power system using Cuckoo Search Algorithm

Abstract To improve the management of limited real power resources, the controller parameters of flexible alternating current transmission systems (FACTs) and energy storage systems (ESS) may be simultaneously tuned to optimize the frequency regulation in a two‐area thermal power system penetrated b...

Full description

Bibliographic Details
Main Authors: Sabita Chaine, Manish Tripathy
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:Engineering Reports
Subjects:
CSA
Online Access:https://doi.org/10.1002/eng2.12313
id doaj-cbea5ff54b644f3a8baaeb528a835f78
record_format Article
spelling doaj-cbea5ff54b644f3a8baaeb528a835f782021-04-22T12:41:42ZengWileyEngineering Reports2577-81962021-04-0134n/an/a10.1002/eng2.12313Performance of static synchronous series compensator and superconducting magnetic energy storage controllers for frequency regulation in two area hybrid wind‐thermal power system using Cuckoo Search AlgorithmSabita Chaine0Manish Tripathy1Electrical Engineering Department Veer Surendra Sai University of Technology Burla IndiaElectrical Engineering Department Veer Surendra Sai University of Technology Burla IndiaAbstract To improve the management of limited real power resources, the controller parameters of flexible alternating current transmission systems (FACTs) and energy storage systems (ESS) may be simultaneously tuned to optimize the frequency regulation in a two‐area thermal power system penetrated by wind power. In this regard, superconducting magnetic energy storage (SMES) and static synchronous series compensator (SSSC), are operated together in different combinations in a two‐area power system. The controller parameters of SMES and SSSC placed in the system are optimized by means of Cuckoo Search Algorithm (CSA). Among the two, SMES is found to provide the best dynamic performance. The performance of coordinated controllers of SMES in both the areas supported by wind power from a double‐fed induction generator (DFIG), is also tested. In the event of any load perturbation, the dynamic performance of the controllers is analyzed with the sole participation of the DFIG and with the simultaneous operation of DFIG and SMES in both areas. Finally, time and frequency domain performance indices are reported and discussed.https://doi.org/10.1002/eng2.12313automatic generation controlCSADFIGSMESSSSCwind‐thermal
collection DOAJ
language English
format Article
sources DOAJ
author Sabita Chaine
Manish Tripathy
spellingShingle Sabita Chaine
Manish Tripathy
Performance of static synchronous series compensator and superconducting magnetic energy storage controllers for frequency regulation in two area hybrid wind‐thermal power system using Cuckoo Search Algorithm
Engineering Reports
automatic generation control
CSA
DFIG
SMES
SSSC
wind‐thermal
author_facet Sabita Chaine
Manish Tripathy
author_sort Sabita Chaine
title Performance of static synchronous series compensator and superconducting magnetic energy storage controllers for frequency regulation in two area hybrid wind‐thermal power system using Cuckoo Search Algorithm
title_short Performance of static synchronous series compensator and superconducting magnetic energy storage controllers for frequency regulation in two area hybrid wind‐thermal power system using Cuckoo Search Algorithm
title_full Performance of static synchronous series compensator and superconducting magnetic energy storage controllers for frequency regulation in two area hybrid wind‐thermal power system using Cuckoo Search Algorithm
title_fullStr Performance of static synchronous series compensator and superconducting magnetic energy storage controllers for frequency regulation in two area hybrid wind‐thermal power system using Cuckoo Search Algorithm
title_full_unstemmed Performance of static synchronous series compensator and superconducting magnetic energy storage controllers for frequency regulation in two area hybrid wind‐thermal power system using Cuckoo Search Algorithm
title_sort performance of static synchronous series compensator and superconducting magnetic energy storage controllers for frequency regulation in two area hybrid wind‐thermal power system using cuckoo search algorithm
publisher Wiley
series Engineering Reports
issn 2577-8196
publishDate 2021-04-01
description Abstract To improve the management of limited real power resources, the controller parameters of flexible alternating current transmission systems (FACTs) and energy storage systems (ESS) may be simultaneously tuned to optimize the frequency regulation in a two‐area thermal power system penetrated by wind power. In this regard, superconducting magnetic energy storage (SMES) and static synchronous series compensator (SSSC), are operated together in different combinations in a two‐area power system. The controller parameters of SMES and SSSC placed in the system are optimized by means of Cuckoo Search Algorithm (CSA). Among the two, SMES is found to provide the best dynamic performance. The performance of coordinated controllers of SMES in both the areas supported by wind power from a double‐fed induction generator (DFIG), is also tested. In the event of any load perturbation, the dynamic performance of the controllers is analyzed with the sole participation of the DFIG and with the simultaneous operation of DFIG and SMES in both areas. Finally, time and frequency domain performance indices are reported and discussed.
topic automatic generation control
CSA
DFIG
SMES
SSSC
wind‐thermal
url https://doi.org/10.1002/eng2.12313
work_keys_str_mv AT sabitachaine performanceofstaticsynchronousseriescompensatorandsuperconductingmagneticenergystoragecontrollersforfrequencyregulationintwoareahybridwindthermalpowersystemusingcuckoosearchalgorithm
AT manishtripathy performanceofstaticsynchronousseriescompensatorandsuperconductingmagneticenergystoragecontrollersforfrequencyregulationintwoareahybridwindthermalpowersystemusingcuckoosearchalgorithm
_version_ 1721514390441689088