TY - GEN
T1 - Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system
AU - Metry, Morcos
AU - Liu, Yushan
AU - Balog, Robert S.
AU - Abu-Rub, Haitham
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/3
Y1 - 2017/8/3
N2 - Stochastic dynamic behavior of solar energy necessitates the use of robust controllers for photovoltaic (PV) power electronics interfaces. Such robust controller maximizes the energy harvest through continuous operation using a maximum power point tracker (MPPT). A model predictive control MPPT (MPC-MPPT) is proposed in this paper for a quasi-Z-source inverter (qZSI) based grid-connected PV power system. MPC is a robust suboptimal controller and is proposed in this paper as an elegant, embedded controller. Such controller has shown better dynamic performance than the conventional perturb and observe (P&O) technique, particularly under rapidly changing meteorological conditions. The qZSI is a single-stage topology that can guarantee MPPT and control the injected power to the grid simultaneously. The proposed method simulation results are presented in this paper.
AB - Stochastic dynamic behavior of solar energy necessitates the use of robust controllers for photovoltaic (PV) power electronics interfaces. Such robust controller maximizes the energy harvest through continuous operation using a maximum power point tracker (MPPT). A model predictive control MPPT (MPC-MPPT) is proposed in this paper for a quasi-Z-source inverter (qZSI) based grid-connected PV power system. MPC is a robust suboptimal controller and is proposed in this paper as an elegant, embedded controller. Such controller has shown better dynamic performance than the conventional perturb and observe (P&O) technique, particularly under rapidly changing meteorological conditions. The qZSI is a single-stage topology that can guarantee MPPT and control the injected power to the grid simultaneously. The proposed method simulation results are presented in this paper.
KW - Grid-tie photovoltaic system
KW - Maximum power point tracking
KW - Model predictive control
KW - Quasi-Z-source inverter
UR - http://www.scopus.com/inward/record.url?scp=85029895684&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2017.8001496
DO - 10.1109/ISIE.2017.8001496
M3 - Conference contribution
AN - SCOPUS:85029895684
T3 - IEEE International Symposium on Industrial Electronics
SP - 1657
EP - 1662
BT - Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE International Symposium on Industrial Electronics, ISIE 2017
Y2 - 18 June 2017 through 21 June 2017
ER -