Power system frequency control enhancement by optimization of wind energy control system

Future trends are increasingly directed towards replacing traditional energy sources by new and renewable energy ones, with Wind Energy coming first in the row of these sources worldwide. The Egyptian electric power system still has a relatively low penetration level, around 3%, of Wind Energy to it...

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Autores principales: Mohammad H. Soliman, Hossam E.A. Talaat, Mahmoud A. Attia
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/0281fc561b5d41b19bcfef75c6c6ee2a
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spelling oai:doaj.org-article:0281fc561b5d41b19bcfef75c6c6ee2a2021-11-22T04:22:31ZPower system frequency control enhancement by optimization of wind energy control system2090-447910.1016/j.asej.2021.03.027https://doaj.org/article/0281fc561b5d41b19bcfef75c6c6ee2a2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2090447921002033https://doaj.org/toc/2090-4479Future trends are increasingly directed towards replacing traditional energy sources by new and renewable energy ones, with Wind Energy coming first in the row of these sources worldwide. The Egyptian electric power system still has a relatively low penetration level, around 3%, of Wind Energy to its generation mix. However, it is planned to increase this ratio to 14.6% by the year 2035. This paper studies the frequency dynamics associated with significant penetration levels of Wind Energy into the Egyptian grid, which leads to reducing the overall system inertia. The control strategy adopted depends on maximizing the wind energy contribution to frequency control, in order to compensate that reduction of system inertia. The Real data of the Egyptian power system model used is verified by the National Electricity Control Centre, updated to the latest values declared and tested under the lowest and highest loads recorded. A modified control loop is added to the control system in order to allow the Wind Energy Conversion System to significantly contribute to the Load Frequency Control. The PI controller gains used in that loop are tuned using three methods; Local Unimodal Sampling, Harmony Search Algorithm and Equilibrium Optimizer (EO). The Equilibrium Optimizer (EO) proved its superiority to the other methods, as it gave the best dynamic response. The simulated results are presented using MATLAB/SMULINK.Mohammad H. SolimanHossam E.A. TalaatMahmoud A. AttiaElsevierarticleWind EnergyFrequency controlDoubly Fed Induction GeneratorLocal unimodal samplingHarmony search algorithmEngineering (General). Civil engineering (General)TA1-2040ENAin Shams Engineering Journal, Vol 12, Iss 4, Pp 3711-3723 (2021)
institution DOAJ
collection DOAJ
language EN
topic Wind Energy
Frequency control
Doubly Fed Induction Generator
Local unimodal sampling
Harmony search algorithm
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle Wind Energy
Frequency control
Doubly Fed Induction Generator
Local unimodal sampling
Harmony search algorithm
Engineering (General). Civil engineering (General)
TA1-2040
Mohammad H. Soliman
Hossam E.A. Talaat
Mahmoud A. Attia
Power system frequency control enhancement by optimization of wind energy control system
description Future trends are increasingly directed towards replacing traditional energy sources by new and renewable energy ones, with Wind Energy coming first in the row of these sources worldwide. The Egyptian electric power system still has a relatively low penetration level, around 3%, of Wind Energy to its generation mix. However, it is planned to increase this ratio to 14.6% by the year 2035. This paper studies the frequency dynamics associated with significant penetration levels of Wind Energy into the Egyptian grid, which leads to reducing the overall system inertia. The control strategy adopted depends on maximizing the wind energy contribution to frequency control, in order to compensate that reduction of system inertia. The Real data of the Egyptian power system model used is verified by the National Electricity Control Centre, updated to the latest values declared and tested under the lowest and highest loads recorded. A modified control loop is added to the control system in order to allow the Wind Energy Conversion System to significantly contribute to the Load Frequency Control. The PI controller gains used in that loop are tuned using three methods; Local Unimodal Sampling, Harmony Search Algorithm and Equilibrium Optimizer (EO). The Equilibrium Optimizer (EO) proved its superiority to the other methods, as it gave the best dynamic response. The simulated results are presented using MATLAB/SMULINK.
format article
author Mohammad H. Soliman
Hossam E.A. Talaat
Mahmoud A. Attia
author_facet Mohammad H. Soliman
Hossam E.A. Talaat
Mahmoud A. Attia
author_sort Mohammad H. Soliman
title Power system frequency control enhancement by optimization of wind energy control system
title_short Power system frequency control enhancement by optimization of wind energy control system
title_full Power system frequency control enhancement by optimization of wind energy control system
title_fullStr Power system frequency control enhancement by optimization of wind energy control system
title_full_unstemmed Power system frequency control enhancement by optimization of wind energy control system
title_sort power system frequency control enhancement by optimization of wind energy control system
publisher Elsevier
publishDate 2021
url https://doaj.org/article/0281fc561b5d41b19bcfef75c6c6ee2a
work_keys_str_mv AT mohammadhsoliman powersystemfrequencycontrolenhancementbyoptimizationofwindenergycontrolsystem
AT hossameatalaat powersystemfrequencycontrolenhancementbyoptimizationofwindenergycontrolsystem
AT mahmoudaattia powersystemfrequencycontrolenhancementbyoptimizationofwindenergycontrolsystem
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