Deakin University
Browse

File(s) under permanent embargo

Multi-gradient PSO algorithm for economic dispatch of thermal generating units in smart grid

Version 2 2024-06-13, 13:06
Version 1 2019-05-21, 12:54
conference contribution
posted on 2024-06-13, 13:06 authored by Loau Tawfak Al-Bahrani, Jagdish C Patra, Ryszard Kowalczyk
We propose a novel algorithm called, multi-gradient particle swarm optimization (MG-PSO), for solving economic dispatch (ED) problem of thermal generating units (TGUs) under smart power grid constraints. The curve of cost function of TGUs becomes non-convex when these are subjected to ramp rate limits and prohibited operating zones. The proposed MG-PSO algorithm is able to solve such complex problem. In MG-PSO algorithm, different negative gradients are used. These negative gradients are used as guides for m particles in the search of global minima. The diversity in negative gradients is a key of the MG-PSO algorithm. Due to this diversity, the m particles cover largest search area as much as possible. The velocity vectors of the m particles are significantly affected by only one negative gradient called, the best negative gradient among all used negative gradients. This makes the m particles adjust their positions and improve their direction according to the best negative gradient. The performance of the MG-PSO algorithm has been verified on 6 and 15 TGUs test systems. The proposed MG-PSO algorithm gives good quality and promising results in solving the ED problem. In addition, the MG-PSO algorithm produces better results in terms of fitness values when compared with PSO algorithm and other optimization techniques.

History

Pagination

258-263

Location

Melbourne, Vic.

Start date

2016-11-28

End date

2016-12-01

Language

eng

Publication classification

E Conference publication, E1.1 Full written paper - refereed

Copyright notice

2016, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

ISGT-Asia 2016 : Proceedings of the 2016 IEEE Innovative Smart Grid Technologies - Asia

Event

IEEE Power and Energy Society. Conference (2016 : Melbourne, Vic.)

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

Piscataway, N.J.

Series

IEEE Power and Energy Society Conference