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Best positions for UPFC for power quality enhancement under various contingencies.

Authors :
Hassan, Yasser Falah
Hadi, Mahmood Khalid
Daealhaq, Haitham
Altahir, Ali Abdul Razzaq
Othman, Mohammad Lutfi
Source :
AIP Conference Proceedings. 2024, Vol. 3091 Issue 1, p1-15. 15p.
Publication Year :
2024

Abstract

Due to the higher power consumption demand arising from rapid and exponential growth in power transmission networks, the use of Flexible A.C. Transmission System (FACTS) equipment has become necessary to increase the controllability and flexibility of power system operation to facilitate high-quality power transmission. One significant factor that plays a particular role in efficiency of operation is the maximum power transmission capacity, and this paper thus examines one of the evolutionary computation techniques used to determine the best location and parameter extraction of FACTS devices, such as Unified Power Flow Controllers (UPFCs), which must be installed within a power system to maximise this. Differential evolution with an adaptive mutation a roach (DEAM) was a lied to reduce power system losses and optimise the network voltage profile. The system used was interactively loaded from the base case in steps of 5%, 10%, 15% and 20%)of the total load demand, and system performance both with and without UPFCs then analysed to confirm the effects within the power system. The acquired results allowed a theoretical a lication of the a roach to the Iraqi national high voltage grid transmission system (400 kV) as a convenient way to enhance power handling, including managing power losses and optimising voltage profile and of enhancing the control capacity of A.C. power flow systems. MATLAB software was used to execute DEAM and Newton Raphson methods to solve system load flow analysis, and the results, which may be are considered very encouraging and of value in restructuring the electrical grid, are thus presented with proper discussion in this work. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
3091
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
176993853
Full Text :
https://doi.org/10.1063/5.0205456