A Novel Smart Grid State Estimation Method Based on Neural Networks
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TLDR
The proposed SE-NN method is a very fast tool to estimate voltages and re/active power loss with a high accuracy compared to the traditional methods.Abstract:
The rapid development in smart grids needs efficient state estimation methods. This paper presents a novel
method for smart grid state estimation (e.g., voltages, active and reactive power loss) using artificial neural
networks (ANNs). The proposed method which is called SE-NN (state estimation using neural network)
can evaluate the state at any point of smart grid systems considering fluctuated loads. To demonstrate the
effectiveness of the proposed method, it has been applied on IEEE 33-bus distribution system with different data
resolutions. The accuracy of the proposed method is validated by comparing the results with an exact power
flow method. The proposed SE-NN method is a very fast tool to estimate voltages and re/active power loss with
a high accuracy compared to the traditional methods.read more
Citations
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References
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