TY - GEN
T1 - Model Predictive Control for Current Sharing and Voltage Balancing in DC Microgrids
AU - Marepalli, Lalit Kishore
AU - Gajula, Kaushik
AU - Herrera, Luis
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, a Model Predictive Control (MPC) technique is presented for the control of energy sources in a dc microgrid. Proportional current sharing is achieved, where the current of each source is shared appropriately by the weight terms. Similarly, a cost function is presented to achieve average voltage of all the source nodes in the network. In addition, a Luenberger observer is designed to estimate the unknown states and disturbances. The centralized MPC optimization problem is then placed in quadratic programming form and solved using the mpcqp solver, which allows for code generation and real time implementation using an embedded system. A four node dc microgrid model is used as a case study. Real-time simulation using Opal RT is shown demonstrating the feasibility of online implementation of the controller.
AB - In this paper, a Model Predictive Control (MPC) technique is presented for the control of energy sources in a dc microgrid. Proportional current sharing is achieved, where the current of each source is shared appropriately by the weight terms. Similarly, a cost function is presented to achieve average voltage of all the source nodes in the network. In addition, a Luenberger observer is designed to estimate the unknown states and disturbances. The centralized MPC optimization problem is then placed in quadratic programming form and solved using the mpcqp solver, which allows for code generation and real time implementation using an embedded system. A four node dc microgrid model is used as a case study. Real-time simulation using Opal RT is shown demonstrating the feasibility of online implementation of the controller.
KW - dc microgrids
KW - Luenberger observer
KW - model predictive control
KW - proportional current sharing
KW - voltage balancing
UR - https://www.scopus.com/pages/publications/85123351418
U2 - 10.1109/ECCE47101.2021.9595493
DO - 10.1109/ECCE47101.2021.9595493
M3 - Conference contribution
AN - SCOPUS:85123351418
T3 - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
SP - 1040
EP - 1045
BT - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Y2 - 10 October 2021 through 14 October 2021
ER -