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Artificial Neural Network based Transmission Line Loss Evaluation of Power Transmission System

Seema*, Shekhappa G. Ankaliki **

*-** Department of Electrical and Electronics Engineering, S. D. M. College of Engineering and Technology, Dharwad, Karnataka, India.

Periodicity:August - October'2020
DOI : https://doi.org/10.26634/jps.8.3.17700

Abstract

Contemporary power systems are associated with serious issues of faults on high voltage transmission lines. Instant isolation of fault is necessary to maintain the system stability. Protective relay utilizes current and voltage signals to detect, classify, and locate the fault in transmission line. This paper presents the application of Artificial Neural Network (ANN) for transmission line loss evaluation of a power transmission system. Active and reactive powers of generators and loads; as well as the magnitudes of voltages at voltage – controlled buses and load buses are chosen as inputs to the ANN. System losses are chosen as targets to the ANN. Training data are obtained by NR Load Flow Studies for different load levels and system topologies using Mi-power software.

Keywords

Transmission Line losses, Load Flow, Artificial Neural Network, System Stability.

How to Cite this Article?

Seema, & Ankaliki, S. G. (2020). Artificial Neural Network based Transmission Line Loss Evaluation of Power Transmission System. i-manager's Journal on Power Systems Engineering, 8(3), 1-6. https://doi.org/10.26634/jps.8.3.17700

References

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Artificial Neural Network based Transmission Line Loss Evaluation of Power Transmission System

Abstract

Keywords

How to Cite this Article?

References

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