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

2024-10-29

Abstract excerpt

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-objective OPF problem (MO-OPF), incorporating renewable energy sources as dis-tributed generation (DG) across multiple...

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Literature Corpus work
744a2d1d-ffc1-55d0-a8e3-4ad3fbbe0134
DOI
10.20944/preprints202410.2167.v1
Open publication

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Enhanced COVID Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage GridDOI 10.20944/preprints202410.2167.v1
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