Determination of optimal location of TCSC and STATCOM for congestion management in deregulated power system

2015 ◽  
Vol 8 (S1) ◽  
pp. 110-117 ◽  
Author(s):  
Anwar Shahzad Siddiqui ◽  
Mohd Tauseef Khan ◽  
Fahad Iqbal
Keyword(s):  
Power System ◽  
Congestion Management ◽  
Optimal Location ◽  
Deregulated Power System

scholarly journals Congestion Management in Deregulated Power System using Adaptive Moth Swarm Optimization

2021 ◽  
Author(s):  
R Ramaporselvi ◽  
G. Geetha
Keyword(s):  
Power System ◽  
Congestion Management ◽  
Optimal Location ◽  
Bacterial Foraging Optimization ◽  
Swarm Optimization ◽  
The Past ◽  
Deregulated Power System ◽  
Thyristor Controlled Series Capacitor ◽  
Compensation Rate ◽  
Bacterial Foraging Optimization Algorithm

Abstract Transmission line congestion is considered the most acute trouble during the operation of the power system. Therefore, congestion management acts as an effective tool in utilizing the available power without breaking the system hindrances or limitations. Over the past few years, determining an optimal location and size of the devices have pinched a great deal of consideration. Numerous approaches have been established to mitigate the congestion rate and this paper aims to enhance the line congestion and minimize power loss by determining the compensation rate and optimal location of thyristor-controlled series capacitor (TCSC) using adaptive moth swarm optimization (AMSO) algorithm. An adaptive moth swarm AMSO algorithm utilizes the performances of moth flame and chaotic local search-based shrinking scheme of the bacterial foraging optimization algorithm. The proposed AMSO approach is executed and discussed for IEEE-30 bus system for determining the optimal location of single TCSC and dual TCSC. In addition to this, the proposed algorithm is compared with various other existing approaches and the results thus obtained provide better performances when compared with other techniques.

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