Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller

This article proposes an intelligent control strategy to enhance the frequency dynamic performance of interconnected multi-source power systems composing of thermal, hydro, and gas power plants and the high penetration level of wind energy. The proposed control strategy is based on a combination of...

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Autores principales:	Ahmed H. A. Elkasem, Mohamed Khamies, Gaber Magdy, Ibrahim B. M. Taha, Salah Kamel
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	load frequency control (LFC) multi-source power system fuzzy logic control (FLC) high wind energy penetration Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/07922ed8c12045e8ba2374bd2ba3287f
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spelling	oai:doaj.org-article:07922ed8c12045e8ba2374bd2ba3287f2021-11-11T19:44:03ZFrequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller10.3390/su1321120952071-1050https://doaj.org/article/07922ed8c12045e8ba2374bd2ba3287f2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12095https://doaj.org/toc/2071-1050This article proposes an intelligent control strategy to enhance the frequency dynamic performance of interconnected multi-source power systems composing of thermal, hydro, and gas power plants and the high penetration level of wind energy. The proposed control strategy is based on a combination of fuzzy logic control with a proportional-integral-derivative (PID) controller to overcome the PID limitations during abnormal conditions. Moreover, a newly adopted optimization technique namely Arithmetic optimization algorithm (AOA) is proposed to fine-tune the proposed fuzzy-PID controller to overcome the disadvantages of conventional and heuristic optimization techniques (i.e., long time in estimating controller parameters-slow convergence curves). Furthermore, the effect of the high voltage direct current link is taken into account in the studied interconnected power system to eliminate the AC transmission disadvantages (i.e., frequent tripping during oscillations in large power systems–high level of fault current). The dynamic performance analysis confirms the superiority of the proposed fuzzy-PID controller based on the AOA compared to the fuzzy-PID controller based on a hybrid local unimodal sampling and teaching learning-based optimization (TLBO) in terms of minimum objective function value and overshoots and undershoots oscillation measurement. Also, the AOA’s proficiency has been verified over several other powerful optimization techniques; differential evolution, TLBO using the PID controller. Moreover, the simulation results ensure the effectiveness and robustness of the proposed fuzzy-PID controller using the AOA in achieving better performance under several contingencies; different load variations, the high penetration level of the wind power, and system uncertainties compared to other literature controllers adjusting by various optimization techniques.Ahmed H. A. ElkasemMohamed KhamiesGaber MagdyIbrahim B. M. TahaSalah KamelMDPI AGarticleload frequency control (LFC)multi-source power systemfuzzy logic control (FLC)high wind energy penetrationEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12095, p 12095 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	load frequency control (LFC) multi-source power system fuzzy logic control (FLC) high wind energy penetration Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	load frequency control (LFC) multi-source power system fuzzy logic control (FLC) high wind energy penetration Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Ahmed H. A. Elkasem Mohamed Khamies Gaber Magdy Ibrahim B. M. Taha Salah Kamel Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller
description	This article proposes an intelligent control strategy to enhance the frequency dynamic performance of interconnected multi-source power systems composing of thermal, hydro, and gas power plants and the high penetration level of wind energy. The proposed control strategy is based on a combination of fuzzy logic control with a proportional-integral-derivative (PID) controller to overcome the PID limitations during abnormal conditions. Moreover, a newly adopted optimization technique namely Arithmetic optimization algorithm (AOA) is proposed to fine-tune the proposed fuzzy-PID controller to overcome the disadvantages of conventional and heuristic optimization techniques (i.e., long time in estimating controller parameters-slow convergence curves). Furthermore, the effect of the high voltage direct current link is taken into account in the studied interconnected power system to eliminate the AC transmission disadvantages (i.e., frequent tripping during oscillations in large power systems–high level of fault current). The dynamic performance analysis confirms the superiority of the proposed fuzzy-PID controller based on the AOA compared to the fuzzy-PID controller based on a hybrid local unimodal sampling and teaching learning-based optimization (TLBO) in terms of minimum objective function value and overshoots and undershoots oscillation measurement. Also, the AOA’s proficiency has been verified over several other powerful optimization techniques; differential evolution, TLBO using the PID controller. Moreover, the simulation results ensure the effectiveness and robustness of the proposed fuzzy-PID controller using the AOA in achieving better performance under several contingencies; different load variations, the high penetration level of the wind power, and system uncertainties compared to other literature controllers adjusting by various optimization techniques.
format	article
author	Ahmed H. A. Elkasem Mohamed Khamies Gaber Magdy Ibrahim B. M. Taha Salah Kamel
author_facet	Ahmed H. A. Elkasem Mohamed Khamies Gaber Magdy Ibrahim B. M. Taha Salah Kamel
author_sort	Ahmed H. A. Elkasem
title	Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller
title_short	Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller
title_full	Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller
title_fullStr	Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller
title_full_unstemmed	Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller
title_sort	frequency stability of ac/dc interconnected power systems with wind energy using arithmetic optimization algorithm-based fuzzy-pid controller
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/07922ed8c12045e8ba2374bd2ba3287f
work_keys_str_mv	AT ahmedhaelkasem frequencystabilityofacdcinterconnectedpowersystemswithwindenergyusingarithmeticoptimizationalgorithmbasedfuzzypidcontroller AT mohamedkhamies frequencystabilityofacdcinterconnectedpowersystemswithwindenergyusingarithmeticoptimizationalgorithmbasedfuzzypidcontroller AT gabermagdy frequencystabilityofacdcinterconnectedpowersystemswithwindenergyusingarithmeticoptimizationalgorithmbasedfuzzypidcontroller AT ibrahimbmtaha frequencystabilityofacdcinterconnectedpowersystemswithwindenergyusingarithmeticoptimizationalgorithmbasedfuzzypidcontroller AT salahkamel frequencystabilityofacdcinterconnectedpowersystemswithwindenergyusingarithmeticoptimizationalgorithmbasedfuzzypidcontroller
_version_	1718431389969285120

Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller

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