An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System Stabilization

In this paper, the impact of one of the challenges of the power transmission system, namely three-phase short-circuits, on the stability of the system is discussed. This fault causes the speed change of the synchronous generators, and the control system needs to quickly zero this speed difference. T...

Full description

Bibliographic Details
Main Authors: Ye Wang, Zhaiaibai Ma, Mostafa M. Salah, Ahmed Shaker
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/11/2500
_version_ 1827739430088081408
author Ye Wang
Zhaiaibai Ma
Mostafa M. Salah
Ahmed Shaker
author_facet Ye Wang
Zhaiaibai Ma
Mostafa M. Salah
Ahmed Shaker
author_sort Ye Wang
collection DOAJ
description In this paper, the impact of one of the challenges of the power transmission system, namely three-phase short-circuits, on the stability of the system is discussed. This fault causes the speed change of the synchronous generators, and the control system needs to quickly zero this speed difference. This paper introduces a completely new and innovative method for power system stabilizer design. In the proposed method, there is a PID controller with a type-2 fuzzy compensator whose optimal parameter values are obtained using an improved virus colony search (VCS) algorithm at any time. In the simulation section, both transient short-circuits (timely operation of breakers and protection relays) and permanent short-circuits (failure of breakers and protection relays) are applied. For transient short-circuits, the three control systems of type-1 fuzzy-PID, type-2 fuzzy-PID, and optimized type-2 fuzzy-PID based on VCS for the nominal load and heavy load modes were compared in the simulations. Apart from the three control systems mentioned earlier, the response of a standalone PID controller was also evaluated in the context of the permanent short-circuit mode. According to the simulation results, the proposed method demonstrates superior performance and high efficiency. In contrast, the standalone PID exhibits divergence.
first_indexed 2024-03-11T03:02:39Z
format Article
id doaj.art-7217969dbc68413098b686526aea008d
institution Directory Open Access Journal
issn 2227-7390
language English
last_indexed 2024-03-11T03:02:39Z
publishDate 2023-05-01
publisher MDPI AG
record_format Article
series Mathematics
spelling doaj.art-7217969dbc68413098b686526aea008d2023-11-18T08:12:52ZengMDPI AGMathematics2227-73902023-05-011111250010.3390/math11112500An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System StabilizationYe Wang0Zhaiaibai Ma1Mostafa M. Salah2Ahmed Shaker3School of Electrical and Mechanical Engineering, Xuchang University, Xuchang 461000, ChinaMechatronics and Automotive Engineering College, Xuchang Vocational and Technical College, Xuchang 461000, ChinaElectrical Engineering Department, Future University in Egypt, Cairo 11835, EgyptEngineering Physics and Mathematics Department, Faculty of Engineering, Ain Shams University, Cairo 11535, EgyptIn this paper, the impact of one of the challenges of the power transmission system, namely three-phase short-circuits, on the stability of the system is discussed. This fault causes the speed change of the synchronous generators, and the control system needs to quickly zero this speed difference. This paper introduces a completely new and innovative method for power system stabilizer design. In the proposed method, there is a PID controller with a type-2 fuzzy compensator whose optimal parameter values are obtained using an improved virus colony search (VCS) algorithm at any time. In the simulation section, both transient short-circuits (timely operation of breakers and protection relays) and permanent short-circuits (failure of breakers and protection relays) are applied. For transient short-circuits, the three control systems of type-1 fuzzy-PID, type-2 fuzzy-PID, and optimized type-2 fuzzy-PID based on VCS for the nominal load and heavy load modes were compared in the simulations. Apart from the three control systems mentioned earlier, the response of a standalone PID controller was also evaluated in the context of the permanent short-circuit mode. According to the simulation results, the proposed method demonstrates superior performance and high efficiency. In contrast, the standalone PID exhibits divergence.https://www.mdpi.com/2227-7390/11/11/2500power system stabilizationtype-2 fuzzyevolutionary algorithmshort-circuitself-tuning PID
spellingShingle Ye Wang
Zhaiaibai Ma
Mostafa M. Salah
Ahmed Shaker
An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System Stabilization
Mathematics
power system stabilization
type-2 fuzzy
evolutionary algorithm
short-circuit
self-tuning PID
title An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System Stabilization
title_full An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System Stabilization
title_fullStr An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System Stabilization
title_full_unstemmed An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System Stabilization
title_short An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System Stabilization
title_sort evolutionarily based type 2 fuzzy pid for multi machine power system stabilization
topic power system stabilization
type-2 fuzzy
evolutionary algorithm
short-circuit
self-tuning PID
url https://www.mdpi.com/2227-7390/11/11/2500
work_keys_str_mv AT yewang anevolutionarilybasedtype2fuzzypidformultimachinepowersystemstabilization
AT zhaiaibaima anevolutionarilybasedtype2fuzzypidformultimachinepowersystemstabilization
AT mostafamsalah anevolutionarilybasedtype2fuzzypidformultimachinepowersystemstabilization
AT ahmedshaker anevolutionarilybasedtype2fuzzypidformultimachinepowersystemstabilization
AT yewang evolutionarilybasedtype2fuzzypidformultimachinepowersystemstabilization
AT zhaiaibaima evolutionarilybasedtype2fuzzypidformultimachinepowersystemstabilization
AT mostafamsalah evolutionarilybasedtype2fuzzypidformultimachinepowersystemstabilization
AT ahmedshaker evolutionarilybasedtype2fuzzypidformultimachinepowersystemstabilization