TY - JOUR
T1 - Current-Sensorless Control Strategy for the MPPT of a PV Cell
T2 - An Energy-Based Approach
AU - Phillips-Brenes, Hayden
AU - Pereira-Arroyo, Roberto
AU - Rímolo-Donadío, Renato
AU - Muñoz-Arias, Mauricio
N1 - Publisher Copyright:
© 2022 Hayden Phillips-Brenes et al.
PY - 2022
Y1 - 2022
N2 - A novel energy-based modelling and control strategy is developed and implemented to solve the maximum power point tracking problem when a photovoltaic cell array is connected to consumption loads. A mathematical model that contains key characteristic parameters of an energy converter stage connected to a photovoltaic cell array is proposed and recast using the port-Hamiltonian framework. The system consists of input-output power port pairs and storage and dissipating elements. Then, a current-sensorless control loop for a maximum power point tracking is designed, acting over the energy converter stage and following an interconnection and damping assignment passivity-based strategy. The performance of the proposed strategy is compared to a (classical) sliding mode control law. Our energy-based strategy is implemented in a hardware platform with a sampling rate of 122 Hz, resulting in lower dynamic power consumption compared to other maximum power point tracking control strategies. Numerical simulations and experimental results validate the performance of the proposed energy-based modelling and the novel control law approach.
AB - A novel energy-based modelling and control strategy is developed and implemented to solve the maximum power point tracking problem when a photovoltaic cell array is connected to consumption loads. A mathematical model that contains key characteristic parameters of an energy converter stage connected to a photovoltaic cell array is proposed and recast using the port-Hamiltonian framework. The system consists of input-output power port pairs and storage and dissipating elements. Then, a current-sensorless control loop for a maximum power point tracking is designed, acting over the energy converter stage and following an interconnection and damping assignment passivity-based strategy. The performance of the proposed strategy is compared to a (classical) sliding mode control law. Our energy-based strategy is implemented in a hardware platform with a sampling rate of 122 Hz, resulting in lower dynamic power consumption compared to other maximum power point tracking control strategies. Numerical simulations and experimental results validate the performance of the proposed energy-based modelling and the novel control law approach.
UR - http://www.scopus.com/inward/record.url?scp=85138343698&partnerID=8YFLogxK
U2 - 10.1155/2022/1747533
DO - 10.1155/2022/1747533
M3 - Artículo
AN - SCOPUS:85138343698
SN - 1110-662X
VL - 2022
JO - International Journal of Photoenergy
JF - International Journal of Photoenergy
M1 - 1747533
ER -