Transient Stability Assessment Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

Authors

  • สิริวุฒิ คลอวุฒิเสถียร
  • สมชาติ จิริวิภากร

Keywords:

transient stability,, adaptive neuro-fuzzy inference system (ANFIS),, critical clearing time,, step-by-step method

Abstract

This paper presents transient stability assessment using adaptive neuro-fuzzy inference system (ANFIS). It is a hybrid intelligent system. ANFIS is completed with core competency of neural network and fuzzy logic in order to predict the critical clearing time by using two test systems named New England 39 bus test system and Western System Coordinating Council 9 bus. From the results, it shows the structure of ANFIS for these electrical power systems. Prediction results compared with the critical clearing times obtained from simulations using step-by-step method of Power world program version17 are accurate. 

References

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Published

2020-06-17

How to Cite

[1]
คลอวุฒิเสถียร ส. . . and จิริวิภากร ส. ., “Transient Stability Assessment Using Adaptive Neuro-Fuzzy Inference System (ANFIS)”, Eng. & Technol. Horiz., vol. 32, no. 4, pp. 13–18, Jun. 2020.

Issue

Vol. 32 No. 4 (2015): October - December

Section

Research Articles

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