TY - GEN
T1 - Computationally efficient model predictive direct power control with online finite set model inductance estimation technique for grid-connected photovoltaic inverters
AU - Hammoud, Issa
AU - Morsy, Khaled
AU - Abdelrahem, Mohamed
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Model predictive direct power control (MP-DPC) is considered as a convenient control approach for grid-connected inverters, as it eliminates the need for internal control loops and external modulators. In this paper, a computationally efficient MP-DPC scheme is presented, which overcomes the main drawback of the traditional scheme by reducing the calculation burden. Based on the values of the reference and actual power, the reference voltage vector of the inverter can be calculated. By locating this reference voltage vector in the α - β reference frame, only three iterations are required. Hence, the cost function is optimized with a reduced calculation load. The dynamic behavior of the computationally efficient MP-DPC, traditional MP-DPC, and lookup table direct power control (LT-DPC) for grid-connected photovoltaic inverters is compared by simulation results. Furthermore, a novel online inductance estimation technique is proposed to enhance the robustness of the control scheme against any inductance variation.
AB - Model predictive direct power control (MP-DPC) is considered as a convenient control approach for grid-connected inverters, as it eliminates the need for internal control loops and external modulators. In this paper, a computationally efficient MP-DPC scheme is presented, which overcomes the main drawback of the traditional scheme by reducing the calculation burden. Based on the values of the reference and actual power, the reference voltage vector of the inverter can be calculated. By locating this reference voltage vector in the α - β reference frame, only three iterations are required. Hence, the cost function is optimized with a reduced calculation load. The dynamic behavior of the computationally efficient MP-DPC, traditional MP-DPC, and lookup table direct power control (LT-DPC) for grid-connected photovoltaic inverters is compared by simulation results. Furthermore, a novel online inductance estimation technique is proposed to enhance the robustness of the control scheme against any inductance variation.
KW - Finite set model inductance estimation
KW - Grid-connected inverter
KW - Look-up table direct power control
KW - Model predictive direct power control
KW - Photovoltaic
UR - http://www.scopus.com/inward/record.url?scp=85069520972&partnerID=8YFLogxK
U2 - 10.1109/PRECEDE.2019.8753263
DO - 10.1109/PRECEDE.2019.8753263
M3 - Conference contribution
AN - SCOPUS:85069520972
T3 - Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics
BT - Proceedings - PRECEDE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019
Y2 - 31 May 2019 through 2 June 2019
ER -
