Optimize AVR system performance by using enhanced genetic algorithm-Reference-Cited by-同舟云学术

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Optimize AVR system performance by using enhanced genetic algorithm

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:2022 23rd International Middle East Power Systems Conference (MEPCON)
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Author:

Abdelkhalek Ahmed M.¹,Attia Mahmoud A.²,Mohamed Ammar³,Badra Niveen¹

Affiliation:

1. Ain-shams university,Faculty of engineering,dept. physics and engineering mathematics,Cairo,Egypt

2. Ain-shams university,Faculty of engineering,Dept. Electrical power and machines,Cairo,Egypt

3. Faculty of graduate studies for statistical research,Dept. of computer science,Cairo,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10021629/10021685/10021789.pdf?arnumber=10021789

Reference21 articles.

1. Whale optimization algorithm to tune PID and PIDA controllers on AVR system

2. PID controller for automatic voltage regulator using teaching–learning based optimization technique

3. Optimal design of PIDA controller using harmony search algorithm for AVR power system

4. Comparative Performance Analysis of AVR Controllers Using Modern Optimization Techniques

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Equilibrium Optimizer Tuned TID Controller Based Automatic Voltage Regulator;2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE);2023-09-15

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