Estimation of Transmission Line Parameters Using Voltage-Current Measurements and Whale Optimization Algorithm

Wael S. Hassanein, Marwa M. Ahmed, Mohamed I. Mosaad and A. Abu-Siada
Additional contact information
Wael S. Hassanein: Department of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 80204, Saudi Arabia
Marwa M. Ahmed: Department of Electrical Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 80204, Saudi Arabia
Mohamed I. Mosaad: Yanbu Industrial College (YIC), Yanbu Industrial City 46452, Saudi Arabia
A. Abu-Siada: Electrical and Computer Engineering Discipline, Curtin University, Bentley, WA 6152, Australia

Energies, 2021, vol. 14, issue 11, 1-15

Abstract: Real-time estimation of transmission line (TL) parameters is essential for proper management of transmission and distribution networks. These parameters can be used to detect incipient faults within the line and hence avoid any potential consequences. While some attempts can be found in the literature to estimate TL parameters, the presented techniques are either complex or impractical. Moreover, none of the presented techniques published in the literature so far can be implemented in real time. This paper presents a cost-effective technique to estimate TL parameters in real time. The proposed technique employs easily accessible voltage and current data measured at both ends of the line. For simplicity, only one quarter of the measured data is sampled and utilized in a developed objective function that is solved using the whale optimization algorithm (WOA) to estimate the TL parameters. The proposed objective function comprises the sum of square errors of the measured data and the corresponding estimated values. The robustness of the proposed technique is tested on a simple two-bus and the IEEE 14-bus systems. The impact of uncertainties in the measured data including magnitude, phase, and communication delay on the performance of the proposed estimation technique is also investigated. Results reveal the effectiveness of the proposed method that can be implemented in real time to detect any incipient variations in the TL parameters due to abnormal or fault events.

Keywords: transmission lines; voltage-current measurements; parameters estimation; whale optimization algorithm; fault location (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/11/3239/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/11/3239/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:11:p:3239-:d:567248

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().