scholarly journals Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm

2019 ◽  
Vol 5 (1) ◽  
pp. 10
Author(s):  
Oloulade Arouna ◽  
Moukengue Imano Adolphe ◽  
Fifatin François-Xavier ◽  
Ganye Sewlan Amedee Arcadius ◽  
Badarou Ramanou ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Differential Evolution ◽  
Power Flow ◽  
Differential Evolution Algorithm ◽  
Optimal Placement ◽  
Unified Power Flow Controller ◽  
Transmission Network ◽  
Evolution Algorithm ◽  
Flow Controller ◽  
Power Flow Controller

scholarly journals Transmission Capacity Improvement Using Unified Power Flow Controller with New Control Strategy

2021 ◽  
pp. 225-232
Author(s):  
Moe Moe Oo ◽  
◽  
Myint Thuzar
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Power Flow ◽  
Transmission Capacity ◽  
System Response ◽  
Unified Power Flow Controller ◽  
Transmission Network ◽  
Flow Controller ◽  
Power Flow Controller

This paper presents Unified Power Flow Controller (UPFC) with a new control strategy to improve the transmission capacity in power system network. With the growing demand of electricity, it is not possible to erect new lines to face the situation. Therefore UPFC is optimally utilizes to enhance the existing transmission network. A detail explanation of the controllers for both shunt and series converters of UPFC and DC link capacitor rating are presented in this study. To justify the performance of the UPFC model, 230kV transmission system in Upper Myanmar National Grid is considered as case study. The proposed control system performance is checked by applying different faults across a transmission line to which UPFC is connected. This is necessary because of the chance for occurance of fault is larger for this case study network. And, loading condition is changed to study the control system response. The simulation results show the effectiveness and suitable performance of the control strategy at improving transmission capacity. Transmission network model and all simulations have been done using MATLAB/Simulink software.

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