TY - GEN
T1 - Comparison of Control Strategies for Monitoring the Maximum Power Point Tracking of a Photovoltaic Plant
AU - Intriago, Sofia
AU - Robayo, Paola
AU - Llanos, Jacqueline
AU - Silva, Franklin
AU - Gómez, Juan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The solar resource is an unlimited source to generate energy, however, specific features such as irradiance and temperature, as well as the panel construction affect the system performance, thus, also changing the maximum power deliverable for the photovoltaic system. In this sense, a controller designed for Maximum Power Point Tracking (MPPT) is required to seek the operation voltage (Vmpp) and current (Impp), therefore, increasing the system efficiency. In this paper traditional MPPT control techniques, Perturb and observes (P&O) and incremental conductance (INC), are compared to advanced control techniques Fuzzy Logic Controller (FCL) and Finite Control Set - Model Predict Control (FCS-MPC). The simulations, implemented in Matlab/Simulink, take the two-step ahead FCS MPC as the best controller for a photovoltaic system.
AB - The solar resource is an unlimited source to generate energy, however, specific features such as irradiance and temperature, as well as the panel construction affect the system performance, thus, also changing the maximum power deliverable for the photovoltaic system. In this sense, a controller designed for Maximum Power Point Tracking (MPPT) is required to seek the operation voltage (Vmpp) and current (Impp), therefore, increasing the system efficiency. In this paper traditional MPPT control techniques, Perturb and observes (P&O) and incremental conductance (INC), are compared to advanced control techniques Fuzzy Logic Controller (FCL) and Finite Control Set - Model Predict Control (FCS-MPC). The simulations, implemented in Matlab/Simulink, take the two-step ahead FCS MPC as the best controller for a photovoltaic system.
KW - DC/DC boost converter
KW - FCS-MPC
KW - FLC
KW - INC
KW - MPPT
KW - P&O
UR - http://www.scopus.com/inward/record.url?scp=85142428969&partnerID=8YFLogxK
U2 - 10.1109/ETCM56276.2022.9935710
DO - 10.1109/ETCM56276.2022.9935710
M3 - Conference contribution
AN - SCOPUS:85142428969
T3 - 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
BT - 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
A2 - Lalaleo, David Rivas
A2 - Huerta, Monica Karel
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
Y2 - 11 October 2022 through 14 October 2022
ER -