Hybrid MDA-ANFIS approach based control of grid connected solar system with nine level inverter wind energy conversion

dc.contributor.authorApparao, A.
dc.contributor.authorSekhar, G. Chandra
dc.contributor.statusnem
dc.date.accessioned2024-01-19T11:34:33Z
dc.date.available2024-01-19T11:34:33Z
dc.date.issued2023-05-09
dc.description.abstractA hybrid approach is proposed in this paper to achieve the load power requirement for grid connected hybrid photovoltaic wind system. The proposed approach is the combined execution of both the Modified Dragonfly Algorithm (MDA) and Adaptive Neuro-Fuzzy Interference System (ANFIS), hence it is called MDA-ANFIS. ANFIS approach is improved by the MDA approach to minimize the error functions. The main aim of the proposed approach is satisfying the load power requirement and obtains the maximum energy from the hybrid wind solar system. Through the modelling of operating modes of generation units, the proposed approach determines the switching states of the inverter. The MDA approach is utilized to generate the dataset and the data set is processed by ANFIS, which creates the control signal. By using the proposed approach, it was possible to minimize the system parameter radiation, external disturbances as well as optimally fulfill the load demand. The proposed method is activated in MATLAB/Simulink platform, and its performance is compared with existing methods.
dc.identifier.doi10.1556/1848.2022.00474
dc.identifier.issn2062-0810
dc.identifier.issue2
dc.identifier.jtitleInternational Review of Applied Sciences and Engineering
dc.identifier.urihttps://hdl.handle.net/2437/365268
dc.identifier.urlhttps://akjournals.com/view/journals/1848/14/2/article-p183.xml
dc.identifier.volume14
dc.language.isoen
dc.publisherAkadémiai Kiadó
dc.subjecthybrid PV wind system
dc.titleHybrid MDA-ANFIS approach based control of grid connected solar system with nine level inverter wind energy conversion
Fájlok
Eredeti köteg (ORIGINAL bundle)
Megjelenítve 1 - 1 (Összesen 1)
Nem elérhető
Név:
1848-article-p183.pdf
Méret:
4.77 MB
Formátum:
Adobe Portable Document Format
Engedélyek köteg
Megjelenítve 1 - 1 (Összesen 1)
Nem elérhető
Név:
license.txt
Méret:
2.57 KB
Formátum:
Item-specific license agreed upon to submission
Leírás: