TY - GEN
T1 - Maximum power point tracking of photovoltaic systems using sensorless current-based model predictive control
AU - Metry, Morcos
AU - Shadmand, Mohammad B.
AU - Liu, Yushan
AU - Balog, Robert S.
AU - Rub, Haitham Abu
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/27
Y1 - 2015/10/27
N2 - Variability of the solar resource necessitates that Maximum Power Point Tracking (MPPT) techniques be used in photovoltaic (PV) systems to ensure maximum electrical energy is harvested. This paper presents a MPPT algorithm using Model Predictive Control (MPC) that does not require the use of current sensors. The main contribution is the use of the model based predictive control (MPC-MPPT) to eliminate the current sensor that is usually required in the perturb and observe (P&O) MPPT technique. By predicting and controlling the future PV system operation in the time horizon, the proposed method is an elegant, embedded controller that has faster response than the conventional P&O technique under rapidly changing atmospheric conditions and without requiring expensive sensing and communications equipment and networks to directly measure solar insolation changes. Real time simulations run on a dSpace DS1007 platform compare of the proposed sensorless current MPC-MPPT (SC MPC-MPPT) technique to the full sensor version.
AB - Variability of the solar resource necessitates that Maximum Power Point Tracking (MPPT) techniques be used in photovoltaic (PV) systems to ensure maximum electrical energy is harvested. This paper presents a MPPT algorithm using Model Predictive Control (MPC) that does not require the use of current sensors. The main contribution is the use of the model based predictive control (MPC-MPPT) to eliminate the current sensor that is usually required in the perturb and observe (P&O) MPPT technique. By predicting and controlling the future PV system operation in the time horizon, the proposed method is an elegant, embedded controller that has faster response than the conventional P&O technique under rapidly changing atmospheric conditions and without requiring expensive sensing and communications equipment and networks to directly measure solar insolation changes. Real time simulations run on a dSpace DS1007 platform compare of the proposed sensorless current MPC-MPPT (SC MPC-MPPT) technique to the full sensor version.
UR - http://www.scopus.com/inward/record.url?scp=84963532493&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2015.7310588
DO - 10.1109/ECCE.2015.7310588
M3 - Conference contribution
AN - SCOPUS:84963532493
T3 - 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
SP - 6635
EP - 6641
BT - 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015
Y2 - 20 September 2015 through 24 September 2015
ER -