Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Quantifying TRM by Modified DCQ Load Flow Method

Nadia, A., Hossain, M.S., Hasan, M.M., Islam, K.Z. and Miah, S. (2021) Quantifying TRM by Modified DCQ Load Flow Method. European Journal of Electrical Engineering, 23 (2). pp. 157-163.

PDF - Published Version
Download (1MB) | Preview
Free to read:
*No subscription required


In the integrated power system network uncertainty can occur at any time. The transmission reliability (TRM) margin is the amount of transmission capacity that guarantees that the transmission network is protected from instability in the operating state of the system. The calculation of the available transfer capacity (ATC) of the transmission reliability margin should be included in a deregulated power system to ensure that the transmission network is safe within a fair range of uncertainties that arise during the power transfer. However, the TRM is conserved as a reliability margin to reflect the unpredictability of the operation of the electric system. Besides, the system operator (SO) utilizes the TRM value during unreliability by adjusting the ATC value some amount up or down to account for errors in data and uncertainty in the model. This paper describes a technique for TRM estimation by modified DCQ load flow method considering VAR transfer distribution factor. The main focus of this study is to get a new approach to determine TRM by incorporating with ATCQ considered reactive power and sensitivity w.r.t ATC considered voltage magnitude. This technique is applied to the IEEE 6 bus system, and results are compared with previous results for validation. The technique leads to more exact and secure estimates of transmission reliability margin.

Item Type: Journal Article
Murdoch Affiliation(s): IT, Media and Communications
Publisher: International Information and Engineering Technology Association
Copyright: © 2021 IIETA.
Item Control Page Item Control Page


Downloads per month over past year