Optimal Sizing and Siting of Distributed Generators by Exhaustive Search

  • Mahmoud Pesaran H.A. Department of Power Engineering in Universiti Teknology Malaysia (UTM)
  • Abdullah Asuhaimi Mohd Zin Electrical Engineering, Universiti Teknologi Malaysia (UTM)
  • Azhar Khairuddin Electrical Power Department, Universiti Teknologi Malaysia
  • Omid Shariati Department of Power Engineering, Universiti Teknologi Malaysia (UTM)
Keywords: Distributed Generation (DG), Dispersed Generation, Exhaustive 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 using single and multiple Distributed Generation units in three selected standard networks. A reliable multi variable method is used for finding 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 variation. 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. candidate at the Department of Power Engineering in Universiti Teknology Malaysia (UTM). He has experiences in: power and distribution transformer testing, electrical utility design and installation, switchgear design 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, Electrical Engineering, 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 dynamic 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 abdullah@fke.utm.my.

Azhar Khairuddin, Electrical Power Department, Universiti Teknologi Malaysia

Azhar Khairuddin received the degrees of B.Sc. (Louisiana State University, USA), M.E. (Universiti Teknologi Malaysia) & Ph.D. (Universiti Teknologi Malaysia) in electrical engineering. He has published many technical papers related to power system locally and internationally. Currently he is an Associate Professor and Acting Head of Electrical 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 , Department of Power Engineering, Universiti Teknologi Malaysia (UTM)

Omid Shariati received the B.Eng. degree in Electrical Engineering 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 Department 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 interests are Power System Stability and Control, Power System Dynamics and Artificial Intelligence application in Electrical Power Systems. He can be contacted via email at omid.shariati@ieee.org.

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