scholarly journals An Optimal Power Flow To Improve Power System Security By Using Particle Swarm Optimization 

2015 ◽  
Vol 4 (2) ◽  
pp. 79-92
Author(s):  
B.Venkata Silpa
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Particle Swarm ◽  
System Security ◽  
Power System Security ◽  
Swarm Optimization ◽  
Optimal Power

scholarly journals A binary particle swarm optimization approach for power system security enhancement

2022 ◽  
Vol 12 (2) ◽  
pp. 1929
Author(s):  
Padmanabha Raju Chinda ◽  
Ragaleela Dalapati Rao
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Optimal Power Flow ◽  
Cost Minimization ◽  
Particle Swarm ◽  
System Security ◽  
Binary Particle Swarm Optimization ◽  
Optimization Approach ◽  
Power System Security ◽  
Swarm Optimization

Improvement of power system security manages the errand of making healing move against conceivable system overloads in the framework following the events of contingencies. Generation re-dispatching is answer for the evacuation of line overloads. The issue is the minimization of different goals viz. minimization of fuel cost, minimization of line loadings and minimization of overall severity index. Binary particle swarm optimization (BPSO) method was utilized to take care of optimal power flow issue with different targets under system contingencies. The inspiration to introduce BPSO gets from the way that, in rivalry with other meta-heuristics, BPSO has demonstrated to be a champ by and large, putting a technique as a genuine alternative when one needs to take care of a complex optimization problem. The positioning is assessed utilizing fuzzy logic. Simulation Results on IEEE-14 and IEEE-30 bus systems are presented with different objectives.

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.

Comparative analysis of a new VSC‐optimal power flow formulation for power system security planning

2020 ◽  
Vol 30 (3) ◽  
Author(s):  
Oludamilare Bode Adewuyi ◽  
Harun Or Rashid Howlader ◽  
Isaiah Opeyemi Olaniyi ◽  
David Abdul Konneh ◽  
Tomonobu Senjyu
Keyword(s):  
Comparative Analysis ◽  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
System Security ◽  
Power System Security ◽  
Optimal Power ◽  
Security Planning

Stochastic Weight Trade-Off Particle Swarm Optimization for Optimal Power Flow

2014 ◽  
Vol 2 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Luong Dinh Le ◽  
Jirawadee Polprasert ◽  
Weerakorn Ongsakul ◽  
Dieu Ngoc Vo ◽  
Dung Anh Le
Keyword(s):  
Particle Swarm Optimization ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Trade Off ◽  
Optimal Power
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