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Date Published: 17/12/2021
Online Published: 22/12/2021
Abstract Views: 103
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DOI: https://doi.org/10.54607/hcmue.js.18.12.3225(2021)
Issue
Vol. 18 No. 12 (2021)
Section
Natural Sciences and Technology
How to Cite
Hoàng , Đ. N. T., Lê , C. K., Phan , M. T., & Nguyễn , T. T. (2021). PROPOSE A PARTICLE SWARM OPTIMIZATION ALGORITHM WITH INERTIA WEIGHT TO SOLVE THE ECONOMIC LOAD DISPATCH PROBLEM IN THE ELECTRIC MARKET. HCMUE Journal of Science, 18(12), 2243. https://doi.org/10.54607/hcmue.js.18.12.3225(2021)

PROPOSE A PARTICLE SWARM OPTIMIZATION ALGORITHM WITH INERTIA WEIGHT TO SOLVE THE ECONOMIC LOAD DISPATCH PROBLEM IN THE ELECTRIC MARKET

Đỗ Ngọc Trầm Hoàng , Chí Kiên Lê , Minh Tân Phan , Trung Thắng Nguyễn

Main Article Content

Abstract

 

 

The economic load dispatch problem under the competitive electric market is a new problem that receives interest from researchers, and many measures have been considered to solve this problem. In this paper, a particle swarm optimization algorithm with inertia weight is proposed. As a result, the proposed algorithm is superior to other methods for
the search capability, and it also obtains the highest profit, fast converge speed, and simulation time.

 

Keywords

economic load dispatch, inertia weight, particle swarm optimization, total profit

Article Details

References

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