Constrained optimal power flow using Craziness Based Particle Swarm Optimization considering valve point loading and prohibited operating zone

2009 ◽  
Author(s):  
P. K. Roy ◽  
S. P. Ghoshal ◽  
S.S. Thakur
Keyword(s):  
Particle Swarm Optimization ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Prohibited Operating Zone ◽  
Optimal Power ◽  
Operating Zone

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.

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

A Chaos Particle Swarm Optimization Algorithm for Optimal Power Flow

2014 ◽  
Vol 1008-1009 ◽  
pp. 466-472
Author(s):  
Cheng Jun Xia ◽  
Yun Zhou ◽  
Hao Yu Huang
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Premature Convergence ◽  
Swarm Optimization ◽  
Optimal Power ◽  
Performance Of Algorithm

The chaos particle swarm optimization algorithm was presented to solving optimal power flow. The proposed OPF considers the total cost of generators as the objective functions. To enhance the performance of algorithm, a premature convergence strategy was proposed. The strategy can be divided into two parts. In the first part, a method is introduced to judge premature convergence, while another part provides an advance method to improve the performance of algorithm with searching the solution in total feasible region. The control strategy used to prevent premature convergence will obtain starting values for initial particle before program iterating, so it can provide bitter probability of detecting global optimum solution. The simulation results on standard IEEE 30-bus system minimizing fuel cost of generator show the effectiveness of the chaos particle swarm optimization algorithm, and can obtain a good solution.

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