Particle swarm optimization with an aging leader and challengers algorithm for optimal power flow problem with FACTS devices

2015 ◽  
Vol 64 ◽  
pp. 1185-1196 ◽  
Author(s):  
Rudra Pratap Singh ◽  
V. Mukherjee ◽  
S.P. Ghoshal
Keyword(s):  
Particle Swarm Optimization ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Problem ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Facts Devices ◽  
Optimal Power ◽  
Power Flow Problem

Optimal Power Flow with TCSC and TCPS Modeling using Craziness and Turbulent Crazy Particle Swarm Optimization

2010 ◽  
Vol 1 (3) ◽  
pp. 34-50 ◽  
Author(s):  
P. K. Roy ◽  
S. P. Ghoshal ◽  
S. S. Thakur
Keyword(s):  
Particle Swarm Optimization ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Particle Swarm ◽  
Solution Quality ◽  
Swarm Optimization ◽  
Facts Devices ◽  
Computation Efficiency ◽  
Optimal Power ◽  
Real Coded Genetic Algorithm

This paper presents two new Particle swarm optimization methods to solve optimal power flow (OPF) in power system incorporating flexible AC transmission systems (FACTS). Two types of FACTS devices, thyristor-controlled series capacitor (TCSC) and thyristor controlled phase shifting (TCPS), are considered. In this paper, the problems of OPF with FACTS are solved by using particle swarm optimization with the inertia weight approach (PSOIWA), real coded genetic algorithm (RGA), craziness based particle swarm optimization (CRPSO), and turbulent crazy particle swarm optimization (TRPSO). The proposed methods are implemented on modified IEEE 30-bus system for four different cases. The simulation results show better solution quality and computation efficiency of TRPSO and CRPSO algorithms over PSOIWA and RGA. The study also shows that FACTS devices are capable of providing an economically attractive solution to OPF problems.

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