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Statistics report
Dec. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 116
Paper Published : 1401
No. of Authors : 3560
  Journal Paper


Paper Title :
Application Of Particle Swarm Optimization For Load-Flow Computation

Author :Poulami Ghosh, Anand Gopal Mukherjee, Siddharth Kumar Singh, Hari Prasad Dubey

Article Citation :Poulami Ghosh ,Anand Gopal Mukherjee ,Siddharth Kumar Singh ,Hari Prasad Dubey , (2016 ) " Application Of Particle Swarm Optimization For Load-Flow Computation " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 70-77, Volume-4, Issue-7

Abstract : This paper presents the particle swarm optimization(PSO) algorithm for solvingLoad-Flow Computation problem for power loss minimization. The PSO is a relatively new and powerful intelligent evolution algorithm for solving optimization problems. It is a population- based approach. The proposed approach employs the PSO algorithm for the optimal setting of optimal power flow (OPF) based on loss minimization function. This paper also compares the loss for conventional Newton-Raphson method and PSO method on power flow .The approach of PSO has been examined and tested on standard IEEE 14,IEEE 30 bus test systems. The obtained results are compared with conventional using Newton-Raphson method to evaluate the performance. Index Terms— Particle Swarm Optimization evolutionary algorithm, Load flow.

Type : Research paper

Published : Volume-4, Issue-7


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-5179   View Here

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