Optimal Sizing and Siting of Distributed Generators by Exhaustive Search

Authors

  • Mahmoud Pesaran H.A Department of Power Engineering in Universiti Teknology Malaysia (UTM)
  • Abdullah Asuhaimi Mohd Zin Universiti Teknologi Malaysia (UTM)
  • Azhar Khairuddin Elec - trical Power Department, Universiti Teknologi Malaysia
  • Omid Shariati Islamic Azad University (IAU), Tehran, Iran

DOI:

https://doi.org/10.13052/dgaej2156-3306.3032

Keywords:

Distributed Generation (DG), Dispersed Generation, Ex - haustive Search, Optimal Allocation, Optimal Sizing, Network Loss, Voltage Profile.

Abstract

Dispersed generation generally refers to power generation on
the customer side of a power network. This article demonstrates the
improvement in network parameters which could be achieved by us -
ing single and multiple Distributed Generation units in three selected
standard networks. A reliable multi variable method is used for find -
ing optimal installation point and size of distributed generation units.
Their sites and sizes are recognized by implementation of a proposed
method with exhaustive search. Optimization has been applied on
network total active and reactive losses together with voltage varia -
tion. IEEE 6, 14 and 30 buses standard networks have been selected as
study cases. The total active and reactive power losses are minimized
while voltage profile is improved by installing Distributed Generation
units on recognized optimal points with achieved optimal size.

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Author Biographies

Mahmoud Pesaran H.A, Department of Power Engineering in Universiti Teknology Malaysia (UTM)

Mahmoud Pesaran H.A. received his B.Sc. degree (2002) from
Amirkabir University of Technoligy (AUT), M.Sc. degree (2005) from
Zanjan University in electrical engineering. He is currently a Ph.D. can -
didate at the Department of Power Engineering in Universiti Teknology
Malaysia (UTM). He has experiences in: power and distribution trans-
former testing, electrical utility design and installation, switchgear de -
sign and construction and power saving and management in factories.
His special fields of interest included power system modeling, power
saving, renewable energy production and management and artificial
intelligence applications in power systems. He can be contacted via
email at mpesaran@fkegraduate.utm.my.

Abdullah Asuhaimi Mohd Zin, Universiti Teknologi Malaysia (UTM)

Abdullah Asuhaimi Mohd Zin (M*88, SM*97) is currently a
Professor at the Faculty of Electrical Engineering, Universiti Teknologi
Malaysia (UTM). He received his B.Sc. degree (1976) from Gadjah
Mada University, Indonesia, M.Sc. degree (1981) from University of
Strathclyde, United Kingdom and PhD degree (1988) from UMIST,
United Kingdom. He has been teaching at UTM for more than 30
years. He also has authored/co authored over 130 technical papers.
His research interests include power system protection, application of
neural network in power system, smart grid, power quality and dy -
namic equivalent of power system. Dr. Mohd.Zin is also a Corporate
Member of The Institution of Engineers, Malaysia (IEM), a Member
of IET (UK) and a Senior Member of IEEE (USA). He is a registered
Professional Engineer (P. Eng.) in Malaysia and Chartered Engineer
(C.Eng.) in United Kingdom. He can be contacted via email at abdul -
lah@fke.utm.my.

Azhar Khairuddin, Elec - trical Power Department, Universiti Teknologi Malaysia

Azhar Khairuddin received the degrees of B.Sc. (Louisiana State
University, USA), M.E. (Universiti Teknologi Malaysia) & Ph.D. (Uni-
versiti Teknologi Malaysia) in electrical engineering. He has published
many technical papers related to power system locally and internation -
ally. Currently he is an Associate Professor and Acting Head of Elec -
trical Power Department, Universiti Teknologi Malaysia. His current
interests include power system security, deregulation, renewable and
distributed generation, and new approaches in teaching power system.
He can be contacted via email at azhar@fke.utm.my

Omid Shariati, Islamic Azad University (IAU), Tehran, Iran

Omid Shariati received the B.Eng. degree in Electrical Engineer -
ing from Power and Water University of Technology (PWUT), Tehran,
Iran, 2002. He obtained the M.Eng. from Islamic Azad University
(IAU), Tehran, Iran, 2005. He is currently a PhD candidate at the De -
partment of Power Engineering, Universiti Teknologi Malaysia (UTM),
Johor, Malaysia. He is a member of Islamic Azad University academic
teaching staff and a member of IEEE (USA). Mr. Shariati’s research in -
terests are Power System Stability and Control, Power System Dynam -
ics and Artificial Intelligence application in Electrical Power Systems.
He can be contacted via email at omid.shariati@ieee.org.

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Published

2015-07-25

How to Cite

H.A, M. P. ., Zin, A. A. M. ., Khairuddin, A. ., & Shariati, O. . (2015). Optimal Sizing and Siting of Distributed Generators by Exhaustive Search. Distributed Generation &Amp; Alternative Energy Journal, 30(03), 29–56. https://doi.org/10.13052/dgaej2156-3306.3032

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