TY - GEN
T1 - A Unified PV-based Control Strategy for Voltage Regulation
AU - Debnath, Anjan
AU - Stevenson, Alexander
AU - Roy, Sukanta
AU - Olowu, Temitayo O.
AU - Tariq, Mohd
AU - Sarwat, Arif
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/10/20
Y1 - 2024/10/20
N2 - This paper proposes a unified PV-based voltage control strategy by combining two separate control techniques: MPPT and Voltage Source Control. It dynamically shifts the PV operating point along the right-side region of the P vs.V curve with respect to the MPP - predicted by a trained Artificial Neural Network (ANN) controller. A DC-DC buck converter, governed by the suggested controller, ensures the regulation of the DC bus voltage. The proposed PV-based control strategy is capable of powering the loads in a microgrid mode during grid-outages as long as PV-power is available to meet the load-demand contingent upon prevailing weather conditions. The effectiveness of the proposed control strategy is verified in MATLAB/Simulink and a real-time simulator-based hardware platform.
AB - This paper proposes a unified PV-based voltage control strategy by combining two separate control techniques: MPPT and Voltage Source Control. It dynamically shifts the PV operating point along the right-side region of the P vs.V curve with respect to the MPP - predicted by a trained Artificial Neural Network (ANN) controller. A DC-DC buck converter, governed by the suggested controller, ensures the regulation of the DC bus voltage. The proposed PV-based control strategy is capable of powering the loads in a microgrid mode during grid-outages as long as PV-power is available to meet the load-demand contingent upon prevailing weather conditions. The effectiveness of the proposed control strategy is verified in MATLAB/Simulink and a real-time simulator-based hardware platform.
KW - Artificial Neural Network
KW - Microgrid
KW - Optimization
KW - Voltage Regulation
KW - Voltage Source Control
UR - https://www.scopus.com/pages/publications/86000479264
UR - https://www.mendeley.com/catalogue/99c6cbbf-abed-3bd8-aef9-b3f9d2785c5d/
U2 - 10.1109/ECCE55643.2024.10860919
DO - 10.1109/ECCE55643.2024.10860919
M3 - Conference contribution
AN - SCOPUS:86000479264
T3 - 2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Proceedings
SP - 420
EP - 424
BT - 2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024
Y2 - 20 October 2024 through 24 October 2024
ER -