Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M)

Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M)

Increment of power demand in power system can cause a rapid reduction in voltage profile that can disrupt the system stability thus make an entire system failure as the system has to work under contingencies and stress conditions. In this paper, Grasshopper Optimization Algorithm (GOA) has been appl...

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Main Authors: Muhamad Amirul, Asyraf Juhari, Nor Rul Hasma, Abdullah, Ibrahim Haruna, Shanono, Mahfuzah, Mustafa, Rosdiyana, Samad, Pebrianti, Dwi
Format: Conference or Workshop Item
Language:English
Published: Springer Verlag 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/25488/
http://umpir.ump.edu.my/id/eprint/25488/
http://umpir.ump.edu.my/id/eprint/25488/1/26.1%20Optimal%20placement%20of%20TCSC%20for%20reactive%20power%20planning.pdf
id ump-25488
recordtype eprints
spelling ump-254882019-11-21T03:06:08Z http://umpir.ump.edu.my/id/eprint/25488/ Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M) Muhamad Amirul, Asyraf Juhari Nor Rul Hasma, Abdullah Ibrahim Haruna, Shanono Mahfuzah, Mustafa Rosdiyana, Samad Pebrianti, Dwi TK Electrical engineering. Electronics Nuclear engineering Increment of power demand in power system can cause a rapid reduction in voltage profile that can disrupt the system stability thus make an entire system failure as the system has to work under contingencies and stress conditions. In this paper, Grasshopper Optimization Algorithm (GOA) has been applied for solving the reactive power planning, considering a line outage occurs in the system with Thyristor Controlled Series Compensator (TCSC) which minimizes transmission power loss. Standard IEEE-30 bus test system has been applied to the test system. Optimal setting of all control variables, namely locations and the sizes of the TCSC has been determined by GOA and power flow analysis method. The investigation is carried out via simulation using MATPOWER and MATLAB software. Springer Verlag 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25488/1/26.1%20Optimal%20placement%20of%20TCSC%20for%20reactive%20power%20planning.pdf Muhamad Amirul, Asyraf Juhari and Nor Rul Hasma, Abdullah and Ibrahim Haruna, Shanono and Mahfuzah, Mustafa and Rosdiyana, Samad and Pebrianti, Dwi (2019) Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M). In: National Seminar On Underwater System Technology 2018 (NUSYS’18), 26 - 27 September 2018 , Universiti Malaysia Pahang, Pekan. pp. 623-635., 538. ISSN 18761100 ISBN 978-981133707-9 https://doi.org/10.1007/978-981-13-3708-6_57
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Muhamad Amirul, Asyraf Juhari
Nor Rul Hasma, Abdullah
Ibrahim Haruna, Shanono
Mahfuzah, Mustafa
Rosdiyana, Samad
Pebrianti, Dwi
Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M)
description Increment of power demand in power system can cause a rapid reduction in voltage profile that can disrupt the system stability thus make an entire system failure as the system has to work under contingencies and stress conditions. In this paper, Grasshopper Optimization Algorithm (GOA) has been applied for solving the reactive power planning, considering a line outage occurs in the system with Thyristor Controlled Series Compensator (TCSC) which minimizes transmission power loss. Standard IEEE-30 bus test system has been applied to the test system. Optimal setting of all control variables, namely locations and the sizes of the TCSC has been determined by GOA and power flow analysis method. The investigation is carried out via simulation using MATPOWER and MATLAB software.
format Conference or Workshop Item
author Muhamad Amirul, Asyraf Juhari
Nor Rul Hasma, Abdullah
Ibrahim Haruna, Shanono
Mahfuzah, Mustafa
Rosdiyana, Samad
Pebrianti, Dwi
author_facet Muhamad Amirul, Asyraf Juhari
Nor Rul Hasma, Abdullah
Ibrahim Haruna, Shanono
Mahfuzah, Mustafa
Rosdiyana, Samad
Pebrianti, Dwi
author_sort Muhamad Amirul, Asyraf Juhari
title Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M)
title_short Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M)
title_full Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M)
title_fullStr Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M)
title_full_unstemmed Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M)
title_sort optimal placement of tcsc for reactive power planning using grasshopper optimization algorithm considering line outage (n-m)
publisher Springer Verlag
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/25488/
http://umpir.ump.edu.my/id/eprint/25488/
http://umpir.ump.edu.my/id/eprint/25488/1/26.1%20Optimal%20placement%20of%20TCSC%20for%20reactive%20power%20planning.pdf
first_indexed 2023-09-18T22:39:10Z
last_indexed 2023-09-18T22:39:10Z
_version_ 1777416798714462208

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