Scheduling of Generation Stations, OLTC Substation Transformers and VAR Sources for Sustainable Power System Operation Using SNS Optimizer

Typically, the main control on alternating current (AC) power systems is performed by the scheduling of rotary machines of synchronous generators and static machines of on-load tap changer (OLTC) transformers and volt-ampere reactive (VAR) sources. Large machines of synchronous generators can be man...

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Autores principales:	Ragab El-Sehiemy, Abdallah Elsayed, Abdullah Shaheen, Ehab Elattar, Ahmed Ginidi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	optimal power flow social network search algorithm electrical power grids power losses fuel costs emissions Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/0b709fffca7e471caaef5c9621c1ffc3
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spelling	oai:doaj.org-article:0b709fffca7e471caaef5c9621c1ffc32021-11-11T19:37:44ZScheduling of Generation Stations, OLTC Substation Transformers and VAR Sources for Sustainable Power System Operation Using SNS Optimizer10.3390/su1321119472071-1050https://doaj.org/article/0b709fffca7e471caaef5c9621c1ffc32021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11947https://doaj.org/toc/2071-1050Typically, the main control on alternating current (AC) power systems is performed by the scheduling of rotary machines of synchronous generators and static machines of on-load tap changer (OLTC) transformers and volt-ampere reactive (VAR) sources. Large machines of synchronous generators can be managed by utilizing terminal voltage control when synchronized in parallel to the power system. These machines are typically terminal voltage regulated. In addition, substation on-load tap changer (OLTC) transformers improve system voltage management by controlling variable turn ratios that are adjusted in different levels known as taps along either the primary or secondary winding. Moreover, volt-ampere reactive (VAR) sources of static VAR compensators (SVCs), which are automated impedance devices connected to the AC power network, are designed for voltage regulation and system stabilization. In this paper, scheduling of these machines is coordinated for optimal power system operation (OPSO) using a recent algorithm of social network search optimizer (SNSO). The OPSO is performed by achieving many optimization targets of cost of fuel, power losses, and polluting emissions. The SNS is a recent optimizer that is inspired from users in social networks throughout the different moods of users such as imitation, conversation, disputation, and innovation mood. The SNSO is developed for handling the OPSO problem and applied on an IEEE standardized 57-bus power system and real Egyptian power system of the West Delta area. The developed SNSO is used in various assessments and quantitative analyses with various contemporary techniques. The simulated findings prove the developed SNSO’s solution accuracy and resilience when compared to other relevant techniques in the literature.Ragab El-SehiemyAbdallah ElsayedAbdullah ShaheenEhab ElattarAhmed GinidiMDPI AGarticleoptimal power flowsocial network search algorithmelectrical power gridspower lossesfuel costsemissionsEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11947, p 11947 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	optimal power flow social network search algorithm electrical power grids power losses fuel costs emissions Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	optimal power flow social network search algorithm electrical power grids power losses fuel costs emissions Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Ragab El-Sehiemy Abdallah Elsayed Abdullah Shaheen Ehab Elattar Ahmed Ginidi Scheduling of Generation Stations, OLTC Substation Transformers and VAR Sources for Sustainable Power System Operation Using SNS Optimizer
description	Typically, the main control on alternating current (AC) power systems is performed by the scheduling of rotary machines of synchronous generators and static machines of on-load tap changer (OLTC) transformers and volt-ampere reactive (VAR) sources. Large machines of synchronous generators can be managed by utilizing terminal voltage control when synchronized in parallel to the power system. These machines are typically terminal voltage regulated. In addition, substation on-load tap changer (OLTC) transformers improve system voltage management by controlling variable turn ratios that are adjusted in different levels known as taps along either the primary or secondary winding. Moreover, volt-ampere reactive (VAR) sources of static VAR compensators (SVCs), which are automated impedance devices connected to the AC power network, are designed for voltage regulation and system stabilization. In this paper, scheduling of these machines is coordinated for optimal power system operation (OPSO) using a recent algorithm of social network search optimizer (SNSO). The OPSO is performed by achieving many optimization targets of cost of fuel, power losses, and polluting emissions. The SNS is a recent optimizer that is inspired from users in social networks throughout the different moods of users such as imitation, conversation, disputation, and innovation mood. The SNSO is developed for handling the OPSO problem and applied on an IEEE standardized 57-bus power system and real Egyptian power system of the West Delta area. The developed SNSO is used in various assessments and quantitative analyses with various contemporary techniques. The simulated findings prove the developed SNSO’s solution accuracy and resilience when compared to other relevant techniques in the literature.
format	article
author	Ragab El-Sehiemy Abdallah Elsayed Abdullah Shaheen Ehab Elattar Ahmed Ginidi
author_facet	Ragab El-Sehiemy Abdallah Elsayed Abdullah Shaheen Ehab Elattar Ahmed Ginidi
author_sort	Ragab El-Sehiemy
title	Scheduling of Generation Stations, OLTC Substation Transformers and VAR Sources for Sustainable Power System Operation Using SNS Optimizer
title_short	Scheduling of Generation Stations, OLTC Substation Transformers and VAR Sources for Sustainable Power System Operation Using SNS Optimizer
title_full	Scheduling of Generation Stations, OLTC Substation Transformers and VAR Sources for Sustainable Power System Operation Using SNS Optimizer
title_fullStr	Scheduling of Generation Stations, OLTC Substation Transformers and VAR Sources for Sustainable Power System Operation Using SNS Optimizer
title_full_unstemmed	Scheduling of Generation Stations, OLTC Substation Transformers and VAR Sources for Sustainable Power System Operation Using SNS Optimizer
title_sort	scheduling of generation stations, oltc substation transformers and var sources for sustainable power system operation using sns optimizer
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0b709fffca7e471caaef5c9621c1ffc3
work_keys_str_mv	AT ragabelsehiemy schedulingofgenerationstationsoltcsubstationtransformersandvarsourcesforsustainablepowersystemoperationusingsnsoptimizer AT abdallahelsayed schedulingofgenerationstationsoltcsubstationtransformersandvarsourcesforsustainablepowersystemoperationusingsnsoptimizer AT abdullahshaheen schedulingofgenerationstationsoltcsubstationtransformersandvarsourcesforsustainablepowersystemoperationusingsnsoptimizer AT ehabelattar schedulingofgenerationstationsoltcsubstationtransformersandvarsourcesforsustainablepowersystemoperationusingsnsoptimizer AT ahmedginidi schedulingofgenerationstationsoltcsubstationtransformersandvarsourcesforsustainablepowersystemoperationusingsnsoptimizer
_version_	1718431449348046848

Scheduling of Generation Stations, OLTC Substation Transformers and VAR Sources for Sustainable Power System Operation Using SNS Optimizer

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