Optimized Control of IoT-Monitored Microgrid Systems Using Genetic Algorithm-Reference-Cited by-同舟云学术

Optimized Control of IoT-Monitored Microgrid Systems Using Genetic Algorithm

Published:2023-12-19 Issue: Volume: Page:1014-1018
ISSN:
Container-title:2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)
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Author:

Vijayalakshmi N.¹,S Yuvaraj²,Baskar V. Vijaya³,Krishnaswamy R.⁴,Sasikala K.⁵,Srinivasan C.⁶

Affiliation:

1. Government Polytechnic college, Deputed from Annamalai University,Department of Electrical and Electronics Engineering,Coimbatore,Tamilnadu,India

2. SRM Institute of Science and Technology,Faculty of Engineering and Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

3. School of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology,Chennai,Tamil Nadu,India

4. University College of Engineering,Department of Electronics and Communication Engineering,Ariyalur,Tamil Nadu,India

5. Vels Institute of Science Technology & Advanced Studies (VISTAS),Department of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

6. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450149/10449970/10450224.pdf?arnumber=10450224

Reference15 articles.

1. Genetic Algorithm on 2^nd Voltage Harmonic Mitigation in Hybrid Microgrids

2. Optimization of Day-Ahead Energy Storage System Scheduling in Microgrid Using Genetic Algorithm and Particle Swarm Optimization

3. Sensor Node Communication based Selfish Node Detection in Mobile Wireless Sensor Networks

4. PC based heart rate monitor implemented in xilinx fpga and analysing the heart rate;Jaiganesh

5. Distributed Secondary Control for Voltage Regulation and Optimal Power Sharing in DC Microgrids

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