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Abstract
Dispersed generation generally refers to power generation on the customer side of the power network. This article demonstrates the improvement in network parameters that could be achieved by the usage of single and multiple distributed generation (DG) units in three selected standard networks. A reliable multi-variable method is suggested for finding the optimal installation point and size of distributed generation units. Their sites and sizes are recognized by the implementation of the proposed method with an exhaustive search. Optimization is applied on network total active and reactive losses together with voltage variation. IEEE 6-, 14-, and 30-bus standard networks are selected as study cases. The total active and reactive power losses are minimized, while the voltage profile is improved by installing distributed generation units on the recognized optimal points with the achieved optimal size.
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Notes on contributors
Mahmoud Pesaran
Mahmoud Pesaran received his B.Sc. (2002) from Amirkabir University of Technoligy (AUT), M.Sc. (2005) from Zanjan University in electrical engineering and Ph.D. (2014) in Electrical Power Engineering from Universiti Teknology Malaysia (UTM). He is a member of Iran Construction Engineering Organization (IRCEO) and a member of IEEE. He has experiences in: power and distribution transformer construction and testing, electrical utility design and installation, switchgear design and construction, power saving and management in industries. His special fields of interest included power system modeling, power saving, renewable energy production and management and artificial intelligence applications in power systems.
Abdullah Asuhaimi Mohd Zin
Abdullah Asuhaimi Mohd Zin 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 Ph.D degree (1988) from UMIST, United Kingdom. He has been teaching at UTM for more than 30 years. He also has authored/co authored over 155 technical papers. He is also a Corporate Member of The Institution of Engineers, Malaysia (IEM), a Member of IET and a Senior Member of IEEE. He is a registered Professional Engineer in Malaysia and Chartered Engineer in United Kingdom. His research interests include power system protection, application of neural network in power system, smart grid, power quality and dynamic equivalent of power system.
Azhar Khairuddin
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.
Omid Shariati
Omid Shariati received the B.Eng. degree in Electrical Engineering from Power and Water University of Technology (PWUT), Iran, 2002. He obtained the M.Eng. from Islamic Azad University (IAU), Iran, 2005. He is currently a Ph.D candidate at the Department of Power Engineering, Universiti Teknologi Malaysia (UTM). He is a member of Islamic Azad University academic teaching staff and a student member of IEEE. His research interests are Power System Stability and Control, Power System Dynamics and Artificial Intelligence application in Electrical Power Systems.