Optimal placement and sizing of distributed generators based on a novel MPSI index

Ruhaizad Ishak; Azah Mohamed; Ahmed N. Abdalla; Mohd Zamri Che Wanik

doi:10.1016/j.ijepes.2014.03.044

Optimal placement and sizing of distributed generators based on a novel MPSI index

Ruhaizad Ishak^*, Azah Mohamed, Ahmed N. Abdalla, Mohd Zamri Che Wanik

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

51 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	389-398
Number of pages	10
Journal	International Journal of Electrical Power and Energy Systems
Volume	60
DOIs	https://doi.org/10.1016/j.ijepes.2014.03.044
Publication status	Published - Sept 2014
Externally published	Yes

Keywords

Distributed generation
Loadability
Maximum power transfer
Stability index
Voltage collapse prediction
Voltage variation

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10.1016/j.ijepes.2014.03.044

Cite this

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title = "Optimal placement and sizing of distributed generators based on a novel MPSI index",

abstract = "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.",

keywords = "Distributed generation, Loadability, Maximum power transfer, Stability index, Voltage collapse prediction, Voltage variation",

author = "Ruhaizad Ishak and Azah Mohamed and Abdalla, {Ahmed N.} and {Che Wanik}, {Mohd Zamri}",

year = "2014",

month = sep,

doi = "10.1016/j.ijepes.2014.03.044",

language = "English",

volume = "60",

pages = "389--398",

journal = "International Journal of Electrical Power and Energy Systems",

issn = "0142-0615",

publisher = "Elsevier Ltd",

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TY - JOUR

T1 - Optimal placement and sizing of distributed generators based on a novel MPSI index

AU - Ishak, Ruhaizad

AU - Mohamed, Azah

AU - Abdalla, Ahmed N.

AU - Che Wanik, Mohd Zamri

PY - 2014/9

Y1 - 2014/9

N2 - 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.

AB - 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.

KW - Distributed generation

KW - Loadability

KW - Maximum power transfer

KW - Stability index

KW - Voltage collapse prediction

KW - Voltage variation

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DO - 10.1016/j.ijepes.2014.03.044

M3 - Article

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SN - 0142-0615

VL - 60

SP - 389

EP - 398

JO - International Journal of Electrical Power and Energy Systems

JF - International Journal of Electrical Power and Energy Systems

ER -

Optimal placement and sizing of distributed generators based on a novel MPSI index

Abstract

Keywords

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