Optimisation of controller parameters for grid‐tied photovoltaic system at faulty network using artificial neural network‐based cuckoo search algorithm-Reference-Cited by-同舟云学术

Optimisation of controller parameters for grid‐tied photovoltaic system at faulty network using artificial neural network‐based cuckoo search algorithm

Published:2017-07-28 Issue:12 Volume:11 Page:1517-1526
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Kalaam Rahila N.¹,Muyeen S.M.²,Al‐Durra Ahmed¹,Hasanien Hany M.³,Al‐Wahedi Khaled¹

Affiliation:

1. Department of Electrical EngineeringKhalifa University of Science and TechnologyAbu DhabiUAE

2. Department of Electrical and Computer EngineeringCurtin UniversityPerthWAAustralia

3. Electrical Power and Machines DepartmentFaculty of EngineeringAin Shams UniversityCairo11517Egypt

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2017.0040

Reference49 articles.

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2. Application and Comparison of Metaheuristic Techniques to Generation Expansion Planning Problem

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4. Enhanced Bee Swarm Optimization Algorithm for Dynamic Economic Dispatch

5. Dynamic voltage security constrained optimal coordinated voltage control using enhanced particle swarm optimisation

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