Enhanced COVID-19 Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage Grid

Enhanced COVID-19 Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage Grid

The optimal power flow (OPF) problem is a critical component in the design and operation of power transmission systems. Various optimization algorithms have been developed to address this issue. This paper expands the use of the coronavirus disease optimization algorithm (COVIDOA) to solve a multi-o...

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Bibliographic Details
Main Authors: Basim ALBaaj, Orhan Kaplan
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
optimization algorithm
multi-objective OPF problem
distributed generation
TPEM
standard Iraq super grid high voltage 28-bus
Online Access:https://www.mdpi.com/1996-1073/18/3/478
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