A New Approach Meta-Heurestics Optimization Techniques to Solve Multi Objective Optimal Power Flow Problems-Reference-Cited by-同舟云学术

A New Approach Meta-Heurestics Optimization Techniques to Solve Multi Objective Optimal Power Flow Problems

Published:2023-10-26 Issue: Volume: Page:
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Container-title:2023 11th International Conference on ENERGY and ENVIRONMENT (CIEM)
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Author:

Al-Kaabi Murtadha¹,Dumbrava Virgil¹,Eremia Mircea¹,Toma Lucian¹,Lazaroiu Cristian¹,Hussein Al Igeb Bahaa²

Affiliation:

1. Doctoral School of Energy Engineering, National University of Science and Technology, POLITEHNICA Bucharest,Bucharest,Romania

2. People's friendship University of Russian,Dept. electrical and heat engineering. Engineering academy,Moscow,Russia

Funder

National University of Science and Technology POLITEHNICA Bucharest

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10349700/10349351/10349733.pdf?arnumber=10349733

Reference20 articles.

1. Optimal Power Flow Solutions

2. An efficient algorithm for power load flow solutions by schur complement and threshold technique;Ameri;Int. J. Adv. Res. Electr. Electron. Instrum. Engine,2014

3. Improved algorithm of Newton Raphson power flow using GCC limit based on neural network;Syaiin;Int. J. Electr. Comput. Sci.,2012

4. Comparison between load flow analysis methods in power system using MATLAB;Singhal;Int. J. Sci. Eng. Res.,2014

5. Constrained Load Flow Using Recursive Quadratic Programming

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