# Study of power flow in electricity system using extreme learning machine
> Darwis M.

URL kanonis: https://discover.unhas.ac.id/publications/study-of-power-flow-in-electricity-system-using-extreme-learning-machine
Jurnal / Konferensi: Iop Conference Series Earth and Environmental Science
Tahun terbit: 2021
DOI: https://doi.org/10.1088/1755-1315/926/1/012028
ISSN: 17551307
Citations: 0

## Authors
- Darwis M.

## Abstract
Abstract Load Flow or Power Flow Analysis in the power system in used to determine the power system parameters such as voltage, current, active power, and reactive power contained in the power grid. The method that has long been used in the calculation of load flow or power flow is the Newton-Raphson iteration method. As for its development, to complete the power flow study, it is carried out by implementing the Artificial Intelligence method, one of which is the Extreme Learning Machine method. This method is used in the simulation of the simple 39 Bus system calculation from IEEE. In this Extreme Learning Machine, the testing analysis is carried out with 2 inputs, 1 hidden layer, 5 neurons, and 2 outputs and the number of datasets is 39 to produce MAE and MAPE respectively 2.02 and 0.76% and with a very fast processing time of 0.010s

## Keywords
- Extreme learning machine
- Power-flow study
- Computer science
- Electric power system
- Power (physics)
- AC power
- Flow (mathematics)
- Voltage
- Artificial neural network
- Artificial intelligence
- Electrical engineering
- Engineering
- Mathematics
- Quantum mechanics
- Physics
- Geometry

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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