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

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

Research output: Contribution to journalArticle

30 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 languageEnglish
Pages (from-to)389-398
Number of pages10
JournalInternational Journal of Electrical Power and Energy Systems
Volume60
DOIs
Publication statusPublished - 2014

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Voltage control
Particle swarm optimization (PSO)

Keywords

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

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Optimal placement and sizing of distributed generators based on a novel MPSI index. / Ishak, Ruhaizad; Mohamed, Azah; Abdalla, Ahmed N.; Che Wanik, Mohd Zamri.

In: International Journal of Electrical Power and Energy Systems, Vol. 60, 2014, p. 389-398.

Research output: Contribution to journalArticle

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