Central Tunicate Swarm NFOPID-Based Load Frequency Control of the Egyptian Power System Considering New Uncontrolled Wind and Photovoltaic Farms

This paper presents load frequency control of the 2021 Egyptian power system, which consists of multi-source electrical power generation, namely, a gas and steam combined cycle, and hydro, wind and photovoltaic power stations. The simulation model includes five generating units considering physical...

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Main Authors: Hady H. Fayek, Panos Kotsampopoulos
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/12/3604
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spelling doaj-3fedf8b76ed64d94b3ee4c16f40ae2822021-07-01T00:25:14ZengMDPI AGEnergies1996-10732021-06-01143604360410.3390/en14123604Central Tunicate Swarm NFOPID-Based Load Frequency Control of the Egyptian Power System Considering New Uncontrolled Wind and Photovoltaic FarmsHady H. Fayek0Panos Kotsampopoulos1Electromechanics Engineering Department, Faculty of Engineering, Heliopolis University, Cairo 11785, EgyptSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, GreeceThis paper presents load frequency control of the 2021 Egyptian power system, which consists of multi-source electrical power generation, namely, a gas and steam combined cycle, and hydro, wind and photovoltaic power stations. The simulation model includes five generating units considering physical constraints such as generation rate constraints (GRC) and the speed governor dead band. It is assumed that a centralized controller is located at the national control center to regulate the frequency of the grid. Four controllers are applied in this research: PID, fractional-order PID (FOPID), non-linear PID (NPID) and non-linear fractional-order PID (NFOPID), to control the system frequency. The design of each controller is conducted based on the novel tunicate swarm algorithm at each operating condition. The novel method is compared to other widely used optimization techniques. The results show that the tunicate swarm NFOPID controller leads the Egyptian power system to a better performance than the other control schemes. This research also presents a comparison between four methods to self-tune the NFOPID controller at each operating condition.https://www.mdpi.com/1996-1073/14/12/3604tunicate swarm algorithmNFOPID controllercentralized controlload frequency controlEgyptian power systemneural network and self-tuning
collection DOAJ
language English
format Article
sources DOAJ
author Hady H. Fayek
Panos Kotsampopoulos
spellingShingle Hady H. Fayek
Panos Kotsampopoulos
Central Tunicate Swarm NFOPID-Based Load Frequency Control of the Egyptian Power System Considering New Uncontrolled Wind and Photovoltaic Farms
Energies
tunicate swarm algorithm
NFOPID controller
centralized control
load frequency control
Egyptian power system
neural network and self-tuning
author_facet Hady H. Fayek
Panos Kotsampopoulos
author_sort Hady H. Fayek
title Central Tunicate Swarm NFOPID-Based Load Frequency Control of the Egyptian Power System Considering New Uncontrolled Wind and Photovoltaic Farms
title_short Central Tunicate Swarm NFOPID-Based Load Frequency Control of the Egyptian Power System Considering New Uncontrolled Wind and Photovoltaic Farms
title_full Central Tunicate Swarm NFOPID-Based Load Frequency Control of the Egyptian Power System Considering New Uncontrolled Wind and Photovoltaic Farms
title_fullStr Central Tunicate Swarm NFOPID-Based Load Frequency Control of the Egyptian Power System Considering New Uncontrolled Wind and Photovoltaic Farms
title_full_unstemmed Central Tunicate Swarm NFOPID-Based Load Frequency Control of the Egyptian Power System Considering New Uncontrolled Wind and Photovoltaic Farms
title_sort central tunicate swarm nfopid-based load frequency control of the egyptian power system considering new uncontrolled wind and photovoltaic farms
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-06-01
description This paper presents load frequency control of the 2021 Egyptian power system, which consists of multi-source electrical power generation, namely, a gas and steam combined cycle, and hydro, wind and photovoltaic power stations. The simulation model includes five generating units considering physical constraints such as generation rate constraints (GRC) and the speed governor dead band. It is assumed that a centralized controller is located at the national control center to regulate the frequency of the grid. Four controllers are applied in this research: PID, fractional-order PID (FOPID), non-linear PID (NPID) and non-linear fractional-order PID (NFOPID), to control the system frequency. The design of each controller is conducted based on the novel tunicate swarm algorithm at each operating condition. The novel method is compared to other widely used optimization techniques. The results show that the tunicate swarm NFOPID controller leads the Egyptian power system to a better performance than the other control schemes. This research also presents a comparison between four methods to self-tune the NFOPID controller at each operating condition.
topic tunicate swarm algorithm
NFOPID controller
centralized control
load frequency control
Egyptian power system
neural network and self-tuning
url https://www.mdpi.com/1996-1073/14/12/3604
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AT panoskotsampopoulos centraltunicateswarmnfopidbasedloadfrequencycontroloftheegyptianpowersystemconsideringnewuncontrolledwindandphotovoltaicfarms
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