Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Amir Zahedibialvaei"'
Autor:
Amir Zahedibialvaei, Pavel Trojovský, Maryam Hesari-Shermeh, Ivana Matoušová, Eva Trojovská, Štěpán Hubálovský
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-27 (2023)
Abstract This paper uses enhanced turbulent flow in water-based optimization (TFWO), specifically ETFWO, to achieve optimal power flow (OPF) in electrical networks that use both solar photovoltaic (PV) units and wind turbines (WTs). ETFWO is an enhan
Externí odkaz:
https://doaj.org/article/5be20c3a071b49f49555a60ef57b43fd
Publikováno v:
PeerJ Computer Science, Vol 9, p e1420 (2023)
Differential evolution (DE) belongs to the most usable optimization algorithms, presented in many improved and modern versions in recent years. Generally, the low convergence rate is the main drawback of the DE algorithm. In this article, the gray wo
Externí odkaz:
https://doaj.org/article/d807beb723af4a78b48031a1833c1fb5
Autor:
Amir Zahedibialvaei, Pavel Trojovský, Maryam Hesari-Shermeh, Ivana Matoušová, Eva Trojovská, Štěpán Hubálovský
This paper introduces a novel and efficient upgraded model of turbulent flow in water-based optimization (TFWO), specifically ETFWO, to achieve optimal power flow (OPF) in the electrical networks that use both solar photovoltaic (PV) units and wind t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ff646bd26494d7ea4f753b32490a0ea
https://doi.org/10.21203/rs.3.rs-2348370/v1
https://doi.org/10.21203/rs.3.rs-2348370/v1