Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Virgil Dumbrava"'
Publikováno v:
Energies, Vol 17, Iss 9, p 2209 (2024)
This article develops two metaheuristics optimization techniques, Grey Wolf Optimizer (GWO) and Harris Hawks Optimization (HHO), to handle multi-objective optimal power flow (MOOPF) issues. Multi Objective GWO (MOGWO) and Multi Objective HHO (MOHHO)
Externí odkaz:
https://doaj.org/article/8181a153fda249c0b876ad289fa3f24e
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 8, Iss 1, Pp 1-25 (2021)
Abstract A techno-economic study of a stand-alone PV water pumping system for water supply is done in this paper. An optimal design of the system is realized thanks to a double-objective optimization based on a proposed operational strategy of the sy
Externí odkaz:
https://doaj.org/article/f74dc2ca6b244be4a5a044417e8cdc7b
Autor:
Ruben Zieba Falama, Virgil Dumbrava, Abdelaziz Salah Saidi, Etienne Tchoffo Houdji, Chokri Ben Salah, Serge Yamigno Doka
Publikováno v:
Energies, Vol 16, Iss 3, p 1540 (2023)
Different configurations of on/off-grid-connected hybrid renewable energy systems (HRESs) are analyzed and compared in the present research study for optimal decision making in Sub-Saharan Africa, facing the problems of electricity deficit. A multi-c
Externí odkaz:
https://doaj.org/article/a5a60975f3404c71be4941a906082a45
Publikováno v:
Energies, Vol 15, Iss 22, p 8328 (2022)
In this study, a new meta-heuristic optimization method inspired by the behavioral choices of animals and hunger-driven activities, called hunger games search (HGS), is suggested to solve and formulate the single- and multi-objective optimal power fl
Externí odkaz:
https://doaj.org/article/d9ff880080754fb9bb1da0ee818981eb
Publikováno v:
Energies, Vol 15, Iss 20, p 7473 (2022)
Optimal power flow (OPF) represents one of the most important issues in the electrical power system for energy management, planning, and operation via finding optimal control variables with satisfying the equality and inequality constraints. Several
Externí odkaz:
https://doaj.org/article/2eb8bfede7e74b208f16cfac1397914c
Autor:
Ruben Zieba Falama, Felix Ngangoum Welaji, Abdouramani Dadjé, Virgil Dumbrava, Noël Djongyang, Chokri Ben Salah, Serge Yamigno Doka
Publikováno v:
Energies, Vol 14, Iss 10, p 2836 (2021)
A techno-economic study of a hybrid PV/Battery/Grid-connected system for energy supply is carried out in this paper to respond to the problem of electrical load shedding. An optimal design of the system is realized thanks to a double-objective optimi
Externí odkaz:
https://doaj.org/article/35a7ad16bf6843689e29698531dd90ca
Publikováno v:
Inventions, Vol 2, Iss 3, p 23 (2017)
This paper analyses the impact on renewable energy sources integrated into the Romanian power system on the electrical network operation considering the reduction of electricity consumption with respect to the 1990s. This decrease has led to increase
Externí odkaz:
https://doaj.org/article/6a5f4c88a01a4916ab6f35510d055a6b
Publikováno v:
2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6746096e528b3b3c38ac06fc6259b6b4
https://doi.org/10.1109/atee58038.2023.10108149
https://doi.org/10.1109/atee58038.2023.10108149
Publikováno v:
Applied Mechanics and Materials. 905:53-64
In this paper, we present a modeling of the photovoltaic array in order to tracking the maximum power point (MPPT) using a soft computing approach based on artificial neural network, The maximum power point tracking MPPT play a crucial role in photov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65fbc121a7f7174fa7682714d5b9cf57
https://doi.org/10.4028/p-ndl3bi
https://doi.org/10.4028/p-ndl3bi
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031252730
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5e0893b1674f676880eaaecf6be1399
https://doi.org/10.1007/978-3-031-25274-7_41
https://doi.org/10.1007/978-3-031-25274-7_41
