scholarly journals Two dimensional particle swarm optimization algorithm for load flow analysis

2014 ◽  
Vol 7 (6) ◽  
pp. 1074-1082 ◽  
Author(s):  
Shabana Mehfuz ◽  
Sumit Kumar
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Flow Analysis ◽  
Particle Swarm ◽  
Load Flow ◽  
Two Dimensional ◽  
Swarm Optimization ◽  
Load Flow Analysis

scholarly journals Optimal Cost Analysis of Battery Swapping Station for EV Using PSO

2021 ◽  
Vol 9 (11) ◽  
pp. 2060-2067
Author(s):  
Prafull Bhumarkar
Keyword(s):  
Particle Swarm Optimization ◽  
Electric Vehicles ◽  
Flow Analysis ◽  
Particle Swarm ◽  
Load Flow ◽  
Swarm Optimization ◽  
Optimal Cost ◽  
Charging Station ◽  
Load Flow Analysis ◽  
Current Scenario

Abstract: Electric vehicles are the demand of the current scenario to fight with the increasing levels of pollution. Electric vehicles operate by getting power from the battery which needs to be charged after a particular duration. Battery swapping stations are used for providing the optimal power for charging these batteries. An algorithm known as Particle swarm optimization can be used to find the optimal cost of these battery swapping stations. The project presents an expository study about ParticleSwarm Optimization and thus various factors related to it. Keywords: Battery Swapping Station, Battery Charging Station, Load flow Analysis, Particle Swarm Optimization

scholarly journals Two-Dimensional Steady-State Boundary Shape Inversion of CGM-SPSO Algorithm on Temperature Information

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Shoubin Wang ◽  
Huangchao Jia ◽  
Xiaogang Sun ◽  
Li Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Steady State ◽  
Optimization Algorithm ◽  
Conjugate Gradient ◽  
Gradient Method ◽  
Hybrid Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Two Dimensional ◽  
Swarm Optimization

Addressing the problem of two-dimensional steady-state thermal boundary recognition, a hybrid algorithm of conjugate gradient method and social particle swarm optimization (CGM-SPSO) algorithm is proposed. The global search ability of particle swarm optimization algorithm and local search ability of gradient algorithm are effectively combined, which overcomes the shortcoming that the conjugate gradient method tends to converge to the local solution and relies heavily on the initial approximation of the iterative process. The hybrid algorithm also avoids the problem that the particle swarm optimization algorithm requires a large number of iterative steps and a lot of time. The experimental results show that the proposed algorithm is feasible and effective in solving the problem of two-dimensional steady-state thermal boundary shape.

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