Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index

Electric power plant loads; Learning algorithms; MATLAB; Multiobjective optimization; Optimization; Reactive power; Back tracking; Backtracking search algorithms; Identification method; Load-shedding; Multi-objective functions; Power flow simulation; System contingencies; Under voltage load shedding...

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Main Authors: Verayiah R., Mohamed A., Shareef H., Abidin I.H.Z.
Other Authors: 26431682500
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-231862023-05-29T14:38:16Z Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index Verayiah R. Mohamed A. Shareef H. Abidin I.H.Z. 26431682500 57195440511 57189691198 35606640500 Electric power plant loads; Learning algorithms; MATLAB; Multiobjective optimization; Optimization; Reactive power; Back tracking; Backtracking search algorithms; Identification method; Load-shedding; Multi-objective functions; Power flow simulation; System contingencies; Under voltage load shedding; Electric load shedding This paper demonstrates on the development of weak bus identification method using novel reactive power tracing index for determination and selection on appropriate buses for load shedding purpose. Power tracing principles using downstream looking algorithm is utilized for the development of a novel reactive power tracing index known as LQP-LT. The results obtained from the weak bus identification from various power system contingencies are analyzed for determination of the load shed amount. Optimization on the total amount of load shed is customized based on multi-objective functions via backtracking search algorithm. The objective functions are set to minimize the amount of load shedding and to minimize the total LQP-LT indices for all buses. A standard IEEE 57 test bus system is used as a data platform for the power flow simulations carried out in MATLAB environment. The results obtained post-load shedding for the proposed method is found to be robust, efficient and reliable for the implementation and execution of optimized amount and location selection for Under Voltage Load Shedding scheme in large network. � 2016 IEEE. Final 2023-05-29T06:38:16Z 2023-05-29T06:38:16Z 2017 Conference Paper 10.1109/PECON.2016.7951628 2-s2.0-85024365624 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024365624&doi=10.1109%2fPECON.2016.7951628&partnerID=40&md5=14423653185d94313434865b468b493c https://irepository.uniten.edu.my/handle/123456789/23186 7951628 585 590 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Electric power plant loads; Learning algorithms; MATLAB; Multiobjective optimization; Optimization; Reactive power; Back tracking; Backtracking search algorithms; Identification method; Load-shedding; Multi-objective functions; Power flow simulation; System contingencies; Under voltage load shedding; Electric load shedding
author2 26431682500
author_facet 26431682500
Verayiah R.
Mohamed A.
Shareef H.
Abidin I.H.Z.
format Conference Paper
author Verayiah R.
Mohamed A.
Shareef H.
Abidin I.H.Z.
spellingShingle Verayiah R.
Mohamed A.
Shareef H.
Abidin I.H.Z.
Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index
author_sort Verayiah R.
title Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index
title_short Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index
title_full Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index
title_fullStr Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index
title_full_unstemmed Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index
title_sort development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427587573972992
score 13.188404