Optimal Placement and Sizing of Distributed Generators Based on a Novel MPSI Index

The Objective: This paper presents a method to identify the optimal location and size of DGs based on the power stability index and particle swarm optimization (PSO) algorithm.Materials and methods: First, a novel maximum power stability index (MPSI) is derived from the well-established theorem of m...

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Main Authors:	Ruhaizad, Ishak, Azah, Mohamed, Abdalla, Ahmed N., Mohd Zamri, Che Wanik
Format:	Article
Language:	English
Published:	Elsevier 2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/7984/ http://umpir.ump.edu.my/id/eprint/7984/ http://umpir.ump.edu.my/id/eprint/7984/ http://umpir.ump.edu.my/id/eprint/7984/1/Optimal%20Placement%20and%20Sizing%20of%20Distributed%20Generators%20Based%20on%20a%20Novel%20MPSI%20Index.pdf

id	ump-7984
recordtype	eprints
spelling	ump-79842018-10-03T07:43:13Z http://umpir.ump.edu.my/id/eprint/7984/ Optimal Placement and Sizing of Distributed Generators Based on a Novel MPSI Index Ruhaizad, Ishak Azah, Mohamed Abdalla, Ahmed N. Mohd Zamri, Che Wanik TK Electrical engineering. Electronics Nuclear engineering The Objective: This paper presents a method to identify the optimal location and size of DGs based on the power stability index and particle swarm optimization (PSO) algorithm.Materials and methods: First, a novel maximum power stability index (MPSI) is derived from the well-established theorem of maximum power transfer. The MPSI is utilized as an objective function to determine the optimal DG locations. Next, a PSO-based model with randomized load is developed to optimize DG sizing in view of the system’s real power losses.Results and Conclusion: Lastly, a IEEE 30-bus test system is employed in the simulation. The performance of proposed MPSI index are comparable with other voltage stability indices. The DG optimization model considering voltage stability and loss minimization provides better results compared to that obtained using only loss minimization approach. Elsevier 2014-03 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7984/1/Optimal%20Placement%20and%20Sizing%20of%20Distributed%20Generators%20Based%20on%20a%20Novel%20MPSI%20Index.pdf Ruhaizad, Ishak and Azah, Mohamed and Abdalla, Ahmed N. and Mohd Zamri, Che Wanik (2014) Optimal Placement and Sizing of Distributed Generators Based on a Novel MPSI Index. International Journal of Electrical Power & Energy Systems, 60. pp. 389-398. ISSN 0142-0615 http://dx.doi.org/10.1016/j.ijepes.2014.03.044 DOI: 10.1016/j.ijepes.2014.03.044
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 Ruhaizad, Ishak Azah, Mohamed Abdalla, Ahmed N. Mohd Zamri, Che Wanik Optimal Placement and Sizing of Distributed Generators Based on a Novel MPSI Index
description	The Objective: This paper presents a method to identify the optimal location and size of DGs based on the power stability index and particle swarm optimization (PSO) algorithm.Materials and methods: First, a novel maximum power stability index (MPSI) is derived from the well-established theorem of maximum power transfer. The MPSI is utilized as an objective function to determine the optimal DG locations. Next, a PSO-based model with randomized load is developed to optimize DG sizing in view of the system’s real power losses.Results and Conclusion: Lastly, a IEEE 30-bus test system is employed in the simulation. The performance of proposed MPSI index are comparable with other voltage stability indices. The DG optimization model considering voltage stability and loss minimization provides better results compared to that obtained using only loss minimization approach.
format	Article
author	Ruhaizad, Ishak Azah, Mohamed Abdalla, Ahmed N. Mohd Zamri, Che Wanik
author_facet	Ruhaizad, Ishak Azah, Mohamed Abdalla, Ahmed N. Mohd Zamri, Che Wanik
author_sort	Ruhaizad, Ishak
title	Optimal Placement and Sizing of Distributed Generators Based on a Novel MPSI Index
title_short	Optimal Placement and Sizing of Distributed Generators Based on a Novel MPSI Index
title_full	Optimal Placement and Sizing of Distributed Generators Based on a Novel MPSI Index
title_fullStr	Optimal Placement and Sizing of Distributed Generators Based on a Novel MPSI Index
title_full_unstemmed	Optimal Placement and Sizing of Distributed Generators Based on a Novel MPSI Index
title_sort	optimal placement and sizing of distributed generators based on a novel mpsi index
publisher	Elsevier
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/7984/ http://umpir.ump.edu.my/id/eprint/7984/ http://umpir.ump.edu.my/id/eprint/7984/ http://umpir.ump.edu.my/id/eprint/7984/1/Optimal%20Placement%20and%20Sizing%20of%20Distributed%20Generators%20Based%20on%20a%20Novel%20MPSI%20Index.pdf
first_indexed	2023-09-18T22:05:12Z
last_indexed	2023-09-18T22:05:12Z
_version_	1777414661530976256

Optimal Placement and Sizing of Distributed Generators Based on a Novel MPSI Index

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