Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In contemporary smart distribution microgrids, both AC and DC loads and sources are consistently accessible, often operating at varying voltage levels simultaneously. Consequently, the typical scenario in today's microgrids involves a hybrid microgrid setup, necessitating the integration of inverters to facilitate power sharing between the AC and DC sections. Hence, this paper introduces a solution for active power control within an integrated AC/DC microgrid incorporating decentralized photovoltaic sources. The proposed solution employs a fuzzy neural controller to manage power generation, including the complexities of tracking the maximum power point during partial shading conditions. This approach effectively addresses the challenges posed by the combined microgrid configuration. The simulation results provide clear evidence of the success of the proposed method in controlling the active power managed by the DC microgrid and transferring it to the AC section. © 2023 IEEE.
Açıklama
14th International Conference on Electrical and Electronics Engineering, ELECO 2023 -- 30 November 2023 through 2 December 2023 -- Virtual, Bursa -- 197135
Anahtar Kelimeler
Controllers, Electric loads, Electric power system control, Fuzzy inference, Fuzzy neural networks, Microgrids, Power control, Smart power grids, AC and DC loads, Active power, Active power control, DC sources, Fuzzy-neural controllers, Microgrid, Photovoltaic systems, Power sharing, Powerpoint, Voltage levels, Electric power distribution
Kaynak
14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
