z-logo
open-access-imgOpen Access
Optimisation of the dynamic performance of the photo-voltaic and wind-turbine hybrid-energy system using the particle-swarm optimisation technique
Author(s) -
Hilmy Awad,
Mostafa S. Fathy,
H. Hegazy,
E. E. El-Kholy
Publication year - 2020
Publication title -
international journal of industrial electronics and drives
Language(s) - English
Resource type - Journals
eISSN - 1757-3874
pISSN - 1757-3882
DOI - 10.1504/ijied.2020.115569
Subject(s) - particle swarm optimization , photovoltaic system , computer science , hybrid system , matlab , turbine , renewable energy , wind power , control theory (sociology) , induction generator , control engineering , automotive engineering , engineering , algorithm , mechanical engineering , control (management) , electrical engineering , machine learning , artificial intelligence , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom