LAPSE:2023.35503v1
Published Article
LAPSE:2023.35503v1
A Mathematical Approach of Voltage Sag Analysis Incorporating Bivariate Probability Distribution in a Meshed System
Jagannath Patra, Nitai Pal
May 2, 2023
Abstract
In this paper, different mathematical expressions are derived to compute the residual magnitude of voltage caused by faults along the line and on the bus. Symmetrical and unsymmetrical faults are taken into consideration, and the consequences of the various fault distributions are considered. A new way of assessing a sag is proposed that incorporates the method of fault position and mathematical expression based on sequence currents and voltages. The fault impedance is introduced to obtain a better result. A fast and efficient load flow analysis technique produces quick computational results. In addition, the sag analysis is performed using the bivariate joint discrete probability distribution method that gives a clear idea about the probability of occurrence of sag in a meshed network. The suggested approach is applied in the IEEE 39-bus system and with an existing real-time electrical power distribution system in India.
Keywords
bivariate joint probability distribution, fault position method, mathematical approach, symmetrical and unsymmetrical fault, voltage sag assessment
Suggested Citation
Patra J, Pal N. A Mathematical Approach of Voltage Sag Analysis Incorporating Bivariate Probability Distribution in a Meshed System. (2023). LAPSE:2023.35503v1
Author Affiliations
Patra J: Department of Electrical Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, India
Pal N: Department of Electrical Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, India [ORCID]
Journal Name
Energies
Volume
15
Issue
20
First Page
7592
Year
2022
Publication Date
2022-10-14
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15207592, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.35503v1
This Record
External Link

https://doi.org/10.3390/en15207592
Publisher Version
Download
Files
May 2, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
521
Version History
[v1] (Original Submission)
May 2, 2023
 
Verified by curator on
May 2, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.35503v1
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version