Abstract
The electrical network system is to ensure that an adequate supply is available to meet the estimated load of the consumers in both the near and more distant future. This must of course, be done for minimum possible cost consistent with satisfactory reliability and quality of the supply. In order to avoid excessive voltage drop and minimize loss, it may be economical to install apparatus to balance or partially balance the loads. It is believed that the technology to achieve an automatic load balancing lends itself readily for the implementation of different types of algorithms for automatically rearranging the connection of consumers on the low voltage and of a feeder for optimal performance. In this paper the combination of the fuzzy logic with Newtown Raphson as optimization method are been implemented to balance the load in the secondary part of the transformer.
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Siti, W., Jimoh, A., Nicolae, D. (2009). Phase Load Balancing in the Secondary Distribution Network Using a Fuzzy Logic and a Combinatorial Optimization Based on the Newton Raphson. In: Corchado, E., Yin, H. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2009. IDEAL 2009. Lecture Notes in Computer Science, vol 5788. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04394-9_12
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DOI: https://doi.org/10.1007/978-3-642-04394-9_12
Publisher Name: Springer, Berlin, Heidelberg
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