Effective Power Congestion Management Technique Using Hybrid Nelder–Mead – Grey Wolf Optimizer (HNMGWO) in Deregulated Power System

2021 ◽  
pp. 1-12
Author(s):  
S. Charles Raja ◽  
S. Prakash ◽  
J. Jeslin Drusila Nesamalar
Author(s):  
Anubha Gautam ◽  
◽  
Parsh Ram Sharma ◽  
Yogendra Kumar ◽  
◽  
...  

In a deregulated power system as the power demand is increasing rapidly, with a limited power system framework, it is very difficult to transmit bulk power. This limitation is due to the thermal constraints of the transmission line. There is a need to increase the loadability of the line without hitting the thermal limits of the system. Thyristor Controlled Series Compensator (TCSC) is used in this paper to reduce congestion in the system by reducing losses and increasing the loadability of the lines. The sensitivity factor applied to optimally allocate TCSC is Disparity Line Utilization Factor (DLUF) and parameter setting is optimized using Grey Wolf Optimisation (GWO). The lines are sorted in terms of the degree of congestion with the help of LUF and then optimal location of TCSC is obtained using DLUF to minimize congestion. TCSC parameters are optimally calculated by the multivariable objective function applying GWO. The method is validated on IEEE 30 bus system. The congestion is reduced and the loadability of a line is increased by the algorithm used in this paper. Effects of congestion alleviation by proposed method are suitably demonstrated in this paper for reduced real and reactive power loss, reduced voltage deviation and incremented security margin of the test system. Results obtained by the proposed algorithm is establishing an upper hand over other state of art algorithms in terms of solution of problem formulated for congestion alleviation.


Sign in / Sign up

Export Citation Format

Share Document