Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1250132

Hybrid Wind-Solar Power System with a Battery- Assisted Quasi-Z-Source Inverter: Optimal Power Generation by Deploying Minimum Sensors


Bubalo, Matija; Bašić, Mateo; Vukadinović, Dinko; Grgić, Ivan
Hybrid Wind-Solar Power System with a Battery- Assisted Quasi-Z-Source Inverter: Optimal Power Generation by Deploying Minimum Sensors // Energies, 16 (2023), 3; 1488, 25 doi:10.3390/en16031488 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1250132 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Hybrid Wind-Solar Power System with a Battery- Assisted Quasi-Z-Source Inverter: Optimal Power Generation by Deploying Minimum Sensors

Autori
Bubalo, Matija ; Bašić, Mateo ; Vukadinović, Dinko ; Grgić, Ivan

Izvornik
Energies (1996-1073) 16 (2023), 3; 1488, 25

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Batteries ; Loss minimization ; Maximum power point tracking ; Photovoltaic source emulation ; Quasi-Z-source inverter ; Wind turbine emulation

Sažetak
This paper presents a hybrid renewable energy system (RES) including wind and photovoltaic (PV) power sources. The wind energy subsystem (WES) consists of a squirrel-cage induction generator (SCIG) driven by a variable-speed wind turbine (WT) and corresponding power electronic converter, by means of which a speed- sensorless indirect-rotor-field-oriented control of the SCIG is implemented. The outputs of both the WES and PV power source rated 1.5 kW and 3.5 kW, respectively, are connected to the DC bus, with the quasi-Z-source inverter (qZSI) acting as an interlinking converter between the DC bus and the AC grid/load. An advanced pulse-width-modulation scheme is applied to reduce the qZSI switching losses. The considered RES can operate both in grid-tie and island operation, whereas the battery storage system—integrated within the qZSI impedance network—enables more efficient energy management. The proposed control scheme includes successively executed algorithms for the optimization of the WES and PV power outputs under varying atmospheric conditions. A perturb-and-observe PV optimization algorithm is executed first due to the significantly faster dynamics and higher-rated power of the PV source compared to the WES. The WES optimization algorithm includes two distinct fuzzy logic optimizations: one for extraction of the maximum wind power and the other for minimization of the SCIG losses. To reduce the number of the required sensors, all three MPPT algorithms utilize the same input variable—the qZSI’s input power—thus increasing the system’s reliability and reducing the cost of implementation. The performance of the proposed hybrid RES was experimentally evaluated over wide ranges of simulated atmospheric conditions in both the island and grid-tie operation.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Dinko Vukadinović (autor)

Avatar Url Ivan Grgić (autor)

Avatar Url Matija Bubalo (autor)

Avatar Url Mateo Bašić (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Bubalo, Matija; Bašić, Mateo; Vukadinović, Dinko; Grgić, Ivan
Hybrid Wind-Solar Power System with a Battery- Assisted Quasi-Z-Source Inverter: Optimal Power Generation by Deploying Minimum Sensors // Energies, 16 (2023), 3; 1488, 25 doi:10.3390/en16031488 (međunarodna recenzija, članak, znanstveni)
Bubalo, M., Bašić, M., Vukadinović, D. & Grgić, I. (2023) Hybrid Wind-Solar Power System with a Battery- Assisted Quasi-Z-Source Inverter: Optimal Power Generation by Deploying Minimum Sensors. Energies, 16 (3), 1488, 25 doi:10.3390/en16031488.
@article{article, author = {Bubalo, Matija and Ba\v{s}i\'{c}, Mateo and Vukadinovi\'{c}, Dinko and Grgi\'{c}, Ivan}, year = {2023}, pages = {25}, DOI = {10.3390/en16031488}, chapter = {1488}, keywords = {Batteries, Loss minimization, Maximum power point tracking, Photovoltaic source emulation, Quasi-Z-source inverter, Wind turbine emulation}, journal = {Energies}, doi = {10.3390/en16031488}, volume = {16}, number = {3}, issn = {1996-1073}, title = {Hybrid Wind-Solar Power System with a Battery- Assisted Quasi-Z-Source Inverter: Optimal Power Generation by Deploying Minimum Sensors}, keyword = {Batteries, Loss minimization, Maximum power point tracking, Photovoltaic source emulation, Quasi-Z-source inverter, Wind turbine emulation}, chapternumber = {1488} }
@article{article, author = {Bubalo, Matija and Ba\v{s}i\'{c}, Mateo and Vukadinovi\'{c}, Dinko and Grgi\'{c}, Ivan}, year = {2023}, pages = {25}, DOI = {10.3390/en16031488}, chapter = {1488}, keywords = {Batteries, Loss minimization, Maximum power point tracking, Photovoltaic source emulation, Quasi-Z-source inverter, Wind turbine emulation}, journal = {Energies}, doi = {10.3390/en16031488}, volume = {16}, number = {3}, issn = {1996-1073}, title = {Hybrid Wind-Solar Power System with a Battery- Assisted Quasi-Z-Source Inverter: Optimal Power Generation by Deploying Minimum Sensors}, keyword = {Batteries, Loss minimization, Maximum power point tracking, Photovoltaic source emulation, Quasi-Z-source inverter, Wind turbine emulation}, chapternumber = {1488} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font