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Optimal Power Flow by Vector PSO

version 2.0.0.0 (41.6 KB) by RMS Danaraj
OPF by Vector PSO

34 Downloads

Updated 27 Aug 2015

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This program solves the OPF by vectorised PSO

Cite As

RMS Danaraj (2021). Optimal Power Flow by Vector PSO (https://www.mathworks.com/matlabcentral/fileexchange/46002-optimal-power-flow-by-vector-pso), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (17)

Tounsi Willy

zhenshuai

Saeed Nikpour

please share the reference paper of this work

asm fawzy

i need help to write code of Inequality constraints to minimize power loss and voltage deviation
to get optimal sizing and location of dg

Shuvasish Dolui

Can someone please provide me simulink model for optimal load flow and unit comittment, it is very urgent for my project work...

Basar Baydar

Shreeram Choudhury

Hello Mr. RMS Danaraj,

I'm Naremi from Malaysia.I need your help. I really need latest modification for psoopf26.m file. It dont have lineflow limit (LF). Please help me sir. This is my email naremi.azwanm@gmail.com

Thanks You Sir

Gourav Gupta

my mailid gouravgu97@gmail.com

ahmed abdulsahib

think you ... where is equation which write this code or where is the refreance paper for this code ... and have you optimal sizing and location to reduce power losses in radial distribution system my email
al_mohnds2006@yahoo.com

Muhammad Zahid

xiang gao

Dear Sir/Madam,

Could you possible send me the email?

Thanks

Siddique Tomal

Dear sir,
May I get the source code? I would be so much grateful if you kindly send this code to me . I'm doing a project related to it.
My maid address siddiquetomal93@gmail.com
Regards
Siddique Tomal

aastha dewan

Sir,
I want to apply PSO algo to optimally place the upfc fact devive in a 30-IEEE bus system.can u please help me with that.

Chirag Tanti

Dear sir, I want to "optimal location of statcom among various IEEE bus system by pso" ------urgently

sinoy john

MATLAB Release Compatibility
Created with R14SP3
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Particle Swarm Optimization Toolbox

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