Pregled bibliografske jedinice broj: 1117432
A Model Predictive Control Approach to Operation Optimization of an Ultracapacitor Bank for Frequency Control
A Model Predictive Control Approach to Operation Optimization of an Ultracapacitor Bank for Frequency Control // IEEE transactions on energy conversion, 36 (2021), 3; 1743-1755 doi:10.1109/TEC.2021.3068036 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1117432 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Model Predictive Control Approach to Operation Optimization of an Ultracapacitor Bank for Frequency Control
Autori
Beus, Mateo ; Krpan, Matej ; Kuzle, Igor ; Pandžić, Hrvoje ; Parisio, Alessandra
Izvornik
IEEE transactions on energy conversion (0885-8969) 36
(2021), 3;
1743-1755
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
frequency control ; model predictive control ; ultracapacitor ; supercapacitor ; power system dynamics
Sažetak
This paper presents a nonlinear dynamic simulation model of an ultracapacitor (UC) bank and the associated control system. The control system at hand consists of two levels: the lower level controls the inverter of the UC bank, while the upper control level is responsible for providing charging/discharging active power set points to be followed by the lower control level. This paper focuses on the development of the upper control level for frequency control. Specifically, two simulation case studies are developed so as to assess the performance of the proposed control framework. In the first case study the upper control level is developed using a classical Proportional-Integral-Derivative (PID) controller. In the second case study the upper control level is devised using a Model Predictive Control (MPC) algorithm based on internal linear prediction model of a nonlinear UC bank. In both cases, a nonlinear UC bank simulation model is used. The simulation case studies are modelled and tested in Matlab/Simulink. The response of the MPC-controlled UC bank is compared to the PID-controlled UC bank. The simulation results show that the MPC algorithm outperforms the conventional PID controller.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
EK-H2020-773430 - Prekogranično upravljanje promjenjivim obnovljivim energijama i skladišnim jedinicama koje omogućuju transnacionalno veleprodajno tržište (CROSSBOW) (Kuzle, Igor, EK ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Poveznice na cjeloviti tekst rada:
Pristup cjelovitom tekstu rada doi ieeexplore.ieee.org www.researchgate.netCitiraj ovu publikaciju:
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