Assessment of the risk of voltage collapse in a power system using intelligent techniques
This paper describes the implementation of a fast and easy-to-use, intelligence-based algorithm to assess the risk of voltage collapse when risk is defined as the product of the event likelihood and a severity function. In the event likelihood, the effect of weather is taken into account; the failur...
Saved in:
Main Authors: | Marsadek, M., Mohamed, A., Nopiah, Z.M. |
---|---|
Format: | Article |
Language: | en_US |
Published: |
2017
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Risk-based voltage collapse assessment using generalized regression neural network
by: Marsadek, M., et al.
Published: (2017) -
Risk-based voltage collapse assessment using generalized regression neural network
by: Marsadek M., et al.
Published: (2023) -
Classification of risk of voltage collapse using risk matrix
by: Aminudin, N., et al.
Published: (2017) -
Classification of risk of voltage collapse using risk matrix
by: Aminudin N., et al.
Published: (2023) -
Voltage collapse risk index prediction for real time system's security monitoring
by: Aminudin, N., et al.
Published: (2017)