Optimizing energy production: superiority of feasible solution-moth flame optimization in IEEE 57-bus systems for optimal power flow
Optimal Power Flow (OPF) presents a formidable challenge in power systems, characterized by non-convex and non-linear optimization constraints. Significant attention has been dedicated to addressing this issue, particularly in optimizing control variables, given their crucial role in achieving syste...
Saved in:
Main Authors: | Alam, Mohammad Khurshed, Mohd Herwan, Sulaiman, Sayem, Md. Shaoran, Ferdowsi, Asma, Foysal, Md., Akter Ringku, Md. Mahfuzur |
---|---|
Format: | Article |
Language: | English |
Published: |
Accent Social and Welfare Society
2024
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/41463/1/Optimizing%20energy%20production%20superiority%20of%20feasible%20solution-moth%20flame.pdf http://umpir.ump.edu.my/id/eprint/41463/ http://dx.doi.org/10.19101/IJATEE.2023.10102385 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The superiority of feasible solutions-moth flame optimizer using valve point loading
by: Alam, Mohammad Khurshed, et al.
Published: (2024) -
Emission and valve point loading cost using superiority of feasible solutions-moth flame optimization
by: Alam, Mohammad Khurshed, et al.
Published: (2023) -
Study on criticality Minimizing Cost in power system with optimal design of stochastic wind power generators using moth flow optimization
by: Alam, Mohammad Khurshed, et al.
Published: (2022) -
Moth Flame Optimization Algorithm including Renewable Energy for Minimization of Generation & Emission Costs in Optimal Power Flow
by: Alam, Mohammad Khurshed, et al.
Published: (2022) -
Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions
by: Alam, Mohammad Khurshed, et al.
Published: (2023)