Congestion Management Based on Real Power Rescheduling Using Moth Flame Optimization

2020 ◽  
pp. 365-376
Author(s):  
Kaushik Paul ◽  
Niranjan Kumar ◽  
Debolina Hati ◽  
Anumeha
Keyword(s):  
Congestion Management ◽  
Real Power

scholarly journals An Efficient Hybrid TLBO-PSO Approach for Congestion Management Employing Real Power Generation Rescheduling

2021 ◽  
Vol 12 (08) ◽  
pp. 113-135
Author(s):  
Muneeb Ul Bashir ◽  
Ward Ul Hijaz Paul ◽  
Mubassir Ahmad ◽  
Danish Ali ◽  
Md. Safdar Ali
Keyword(s):  
Power Generation ◽  
Congestion Management ◽  
Real Power

Relieving Transmission Congestion by Optimal Rescheduling of Generators Using PSO

2014 ◽  
Vol 626 ◽  
pp. 213-218 ◽  
Author(s):  
K. Muthulakshmi ◽  
C.K. Babulal
Keyword(s):  
Particle Swarm Optimization ◽  
Power Output ◽  
Optimization Methods ◽  
Congestion Management ◽  
Test System ◽  
Transmission Congestion ◽  
Reliable System ◽  
Swarm Optimization ◽  
Real Power ◽  
The Real

Congestion management is one of the most important issues for secure and reliable system operations. One of the most practiced techniques for congestion management is rescheduling the real power output of generators in the system. In this paper Particle Swarm Optimization (PSO) is used to determine the optimal generation levels to alleviate transmission congestion. Numerical results on IEEE 30 Bus test system is presented and the experimental outcomes demonstrate that PSO is one among the demanding optimization methods which are certainly capable of obtaining higher quality solutions for the proposed problem.

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