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Power loss estimation in smart grids using a neural network model
The techniques of minimizing losses in a smart grid system need a fast algorithm to estimate the conditions of the active distribution system. Excessive losses threat the reliability and security of the smart grid system. This paper presents a novel method for estimating power loss in a real-time of each line in the active distribution system. The proposed method, which is called, a neural network power loss estimation (NN-PLE) is a computational method for estimation the line losses using an artificial neural network. The proposed method provides a fast calculation with high accuracy comparing to other traditional methods that take a very long execution time. Simulation results are presented to demonstrate the performance of (NN-PLE) for a 33-bus distribution system with different data resolutions.
- Aswan University Egypt
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
