Development of a genetic algorithm for maximizing wind power integration rate into the electric grid-Reference-Cited by-同舟云学术

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Development of a genetic algorithm for maximizing wind power integration rate into the electric grid

Published:2019-03 Issue:2 Volume:11 Page:023303
ISSN:1941-7012
Container-title:Journal of Renewable and Sustainable Energy
language:en
Short-container-title:Journal of Renewable and Sustainable Energy

Author:

Ammous Sahar¹,Jebali Mariam²,Halima Nahla Ben¹,Abdallah Hsan Hadj²,Oualha Abdelmajid¹

Affiliation:

1. Laboratoire d'Electronique et des Technologies de l'Information (LETI), National School of Engineering of Sfax, University of Sfax, Sfax, Tunisia

2. Control and Energy Management Laboratory (CEM-LAB), National School of Engineering of Sfax, University of Sfax, Sfax, Tunisia

Publisher

AIP Publishing

Subject

Renewable Energy, Sustainability and the Environment

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5068736

Reference36 articles.

1. Assessment of sustainability indicators for renewable energy technologies

2. Renewable energy strategies for sustainable development

3. Barriers (and Solutions...) to Very High Wind Penetration in Power Systems

4. Modelling and analysis of transient state during improved coupling procedure with the grid for DFIG based wind turbine generator

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. The method for calculation and optimization of parameters of synchronous electric machines with permanent magnets as part of the generating and driving complexes;E3S Web of Conferences;2019

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