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Pregled bibliografske jedinice broj: 1277110

Predictive microgrid control with renewable energy systems


Schwirtlich, Benjamin
Predictive microgrid control with renewable energy systems, 2022., diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb


CROSBI ID: 1277110 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Predictive microgrid control with renewable energy systems

Autori
Schwirtlich, Benjamin

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
08.07

Godina
2022

Stranica
40

Mentor
Lešić, Vinko

Ključne riječi
CPLEX ; LabVIEW ; MATLAB ; Microgrid ; Model predictive control, YALMIP

Sažetak
In this thesis the microgrid control problem is considered. The special emphasis is put on the MPC (Model Predictive Control) algorithm which is tested both simulation and experimentally. The work explains benefits of such algorithm with application on the microgrid. First is described theoretical background of MPC. Then, simulation implementation is given, which is done in MATLAB. And finally, how the algorithm can be applied practically, here on the microgrid.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
HRZZ-UIP-2020-02-9636 - Distribuirano upravljanje za dinamičko gospodarenje energijom u složenim sustavima naprednih gradova (DECIDE) (Lešić, Vinko, HRZZ - 2020-02) ( CroRIS)

Profili:

Avatar Url Vinko Lešić (mentor)


Citiraj ovu publikaciju:

Schwirtlich, Benjamin
Predictive microgrid control with renewable energy systems, 2022., diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb
Schwirtlich, B. (2022) 'Predictive microgrid control with renewable energy systems', diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb.
@phdthesis{phdthesis, author = {Schwirtlich, Benjamin}, year = {2022}, pages = {40}, keywords = {CPLEX, LabVIEW, MATLAB, Microgrid, Model predictive control, YALMIP}, title = {Predictive microgrid control with renewable energy systems}, keyword = {CPLEX, LabVIEW, MATLAB, Microgrid, Model predictive control, YALMIP}, publisherplace = {Zagreb} }
@phdthesis{phdthesis, author = {Schwirtlich, Benjamin}, year = {2022}, pages = {40}, keywords = {CPLEX, LabVIEW, MATLAB, Microgrid, Model predictive control, YALMIP}, title = {Predictive microgrid control with renewable energy systems}, keyword = {CPLEX, LabVIEW, MATLAB, Microgrid, Model predictive control, YALMIP}, publisherplace = {Zagreb} }




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