Particle Swarm Optimization Algorithm to Find the Location of Facts Controllers for a Transmission Line

Author(s):  
S. Harish Kiran ◽  
C. Subramani ◽  
S. S. Dash ◽  
M. Arunbhaskar ◽  
M. Jagadeeshkumar

This paper indicates the nonlinear congestion mitigation in the transmission lines. The generator active power is rescheduled to achieve the congestion- transmission line network in electrical power system. The transmission congestion in the buses can be reconfigured by using the Improved Particle Swarm Optimization Algorithm. By locating the Distributed Generators in the identified weak buses the voltage profile and the power loss in the transmission system can be improved. The proposed solution’s achievability is tested by estimating the cost of congestion on different standard IEEE transmission line networks. The algorithm have the recompense such as the capability of local search and the capability of global search in the algorithms Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) algorithm respectively. Consistence with the calculation is tried by considering different contextual investigations including clog on the separate test transport arrange because of two-sided, polygonal exchanges and line blackouts.


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