MaOTLBO: Many-objective teaching-learning-based optimizer for control and monitoring the optimal power flow of modern power systems
This paper recommends a new Many-Objective Teaching-Learning-Based Optimizer (MaOTLBO) to handle the Many-Objective Optimal Power Flow (MaO-OPF) problem of modern complex power systems while meeting different operating constraints. A reference point-based mechanism is utilized in the basic...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Growing Science
2023-01-01
|
Series: | International Journal of Industrial Engineering Computations |
Online Access: | http://www.growingscience.com/ijiec/Vol14/IJIEC_2023_7.pdf |