Particle Swarm Optimization Approach for Cost Minimization of Hybrid Renewable Energy Sources-Reference-Cited by-同舟云学术

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Particle Swarm Optimization Approach for Cost Minimization of Hybrid Renewable Energy Sources

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Environment Friendly Energies and Applications (EFEA)
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Author:

Johari Arpit¹,Khan Naved¹,Prasad T. Nageswara²,Mathew Derick³,Muthu Rajeshkumar⁴,Naidu Rani Chinnappa⁵

Affiliation:

1. School of Electrical Engineering, Vellore Institute of Technology,Vellore,India

2. School of Engineering, Mohan Babu University,Tirupati,India

3. School of Electrical Engineering, Mangalam Engineering college,Kerala,India

4. School of Electronics Engineering, Vellore Institute of Technology,Vellore,India

5. School of Engineering, Universite des Mascareignes,Mauritius

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10063783/10063736/10063791.pdf?arnumber=10063791

Reference29 articles.

1. The Hybrid Solar Power/Wind System for Energy Production, Observation, Application, and Simulation

2. Particle Swarm Optimization Based Goal-Attainment Method for Dynamic Economic Emission Dispatch

3. Primary frequency control techniques for large-scale PV-integrated power systems: A review

4. Using HOMER software to investigate, size and apply renewable energy sources in a convention center in Sabratha, Libya

5. Wind and Solar Power Systems

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