Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/814
Title: Single phase load balancing in a three phase system at distribution and unit level
Authors: Fahim, Michella
Hassan, Moustapha El 
Najjar, Maged B. 
Affiliations: Department of Electrical Engineering
Department of Computer Engineering
Keywords: Power systems
Conferences
Optimization
High definition video
Neural network
Subjects: Sustainable development
Technological innovations
Issue Date: 2018
Publisher: IEEE
Part of: 2018 IEEE International Conference on Industrial Technology (ICIT)
Start page: 1
End page: 5
Conference: International Conference on Industrial Technology (ICIT) (20-22 Feb 2018 : Lyon, France) 
Abstract: 
A major concern in modern electricity is power quality and reliability of the supplied electricity. With the development of new technologies, the continuous changes in consumption trends, and the presence of unknown sources, the act of load balancing at distribution level becomes more complex and much needed. One of the best methods to achieve balance is finding the optimal reconfiguration. While most literature on the topic focuses on reducing power losses through network reconfiguration at feeder level, the focus of this paper is on consumer load rearrangement at the installation level of the unit itself. These changes are made in order to achieve balance between the phases and guarantee reduction of the electric bill. Furthermore, balancing has an effect on fuel consumption reduction resulting in positive effect on the environment. Automatic balancing is based on a switching technique following certain constraints and equations. This method can be applied on both feeders and the unit level and is guaranteed to give better results when compared to other techniques. The percentage of unbalance dropped below 1 % using phase commitment algorithm reaching 0.329% and 0.0227% for 15 and 150 loads testing systems, respectively. Also, the neutral current and the difference between the phases is minimal compared to other techniques. The study is conducted on real data for different types of distribution loads.
URI: https://scholarhub.balamand.edu.lb/handle/uob/814
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

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