Comparison of Genetic Algorithm and Particle Swarm Optimization for DC Optimal Power Flow-Reference-Cited by-同舟云学术

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Comparison of Genetic Algorithm and Particle Swarm Optimization for DC Optimal Power Flow

Published:2023-11-17 Issue: Volume: Page:
ISSN:
Container-title:2023 25th International Multitopic Conference (INMIC)
language:
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Author:

Azam Muhammad Hanan¹,Ahmad Ali²,Altaf Umair³,Sarwar Sohail⁴

Affiliation:

1. Power System Planning Division NTDC,Lahore,Pakistan

2. University of Central Punjab,Dept. of Electrical Engineering,Lahore,Pakistan

3. Functional Testing Division (SRDC-L) SUPARCO,Lahore,Pakistan

4. RCET Campus,Dept. of Electrical Engineering UET,Gujranwala,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10465673/10465676/10466223.pdf?arnumber=10466223

Reference12 articles.

1. Distributed Optimal Power Flow in Hybrid AC–DC Grids

2. AC&DC optimal power flow incorporating centralized/decentralized multi-region grid control employing the whale algorithm

3. Optimal power flow calculation in AC/DC hybrid power system based on adaptive simplified human learning optimization algorithm

4. A New Attempt to Optimize Optimal Power Flow Based Transmission Losses Using Genetic Algorithm

5. A comparative analysis of differential evolution and genetic algorithm for solving optimal power flow

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1. Comparison of Optimization Methods for the Attitude Control of Satellites;Electronics;2024-08-24

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