TY - JOUR
T1 - A Model Predictive Control for Renewable Energy Based AC Microgrids without Any PID Regulators
AU - Shan, Yinghao
AU - Hu, Jiefeng
AU - Li, Zilin
AU - Guerrero, Josep M.
PY - 2018/11
Y1 - 2018/11
N2 - This letter presents a novel model predictive control strategy without involving any proportional-integral-differential (PID) regulators for practical renewable energy based ac microgrids. The proposed method consists of a model predictive power control (MPPC) scheme and a model predictive voltage control (MPVC) scheme. By controlling the bidirectional buck-boost converters of the battery energy storage systems based on the MPPC algorithm, the fluctuating output from the renewable energy sources can be smoothed, while stable dc-bus voltages can be maintained as the inverters inputs. Then, the parallel inverters are controlled by using a combination of the MPVC scheme and the droop method to ensure stable ac voltage output and proper power sharing. Compared with the traditional cascade control, the proposed method is simpler and shows better performance, which is validated in simulation on MATLAB/Simulink and on Real-Time Laboratory (RT-LAB) platform.
AB - This letter presents a novel model predictive control strategy without involving any proportional-integral-differential (PID) regulators for practical renewable energy based ac microgrids. The proposed method consists of a model predictive power control (MPPC) scheme and a model predictive voltage control (MPVC) scheme. By controlling the bidirectional buck-boost converters of the battery energy storage systems based on the MPPC algorithm, the fluctuating output from the renewable energy sources can be smoothed, while stable dc-bus voltages can be maintained as the inverters inputs. Then, the parallel inverters are controlled by using a combination of the MPVC scheme and the droop method to ensure stable ac voltage output and proper power sharing. Compared with the traditional cascade control, the proposed method is simpler and shows better performance, which is validated in simulation on MATLAB/Simulink and on Real-Time Laboratory (RT-LAB) platform.
KW - DC-AC
KW - DC-DC
KW - Droop control
KW - Energy storage system
KW - Microgrid
KW - model predictive control (MPC)
KW - real-time laboratory (RT-LAB
UR - http://www.scopus.com/inward/record.url?scp=85044736063&partnerID=8YFLogxK
U2 - 10.1109/TPEL.2018.2822314
DO - 10.1109/TPEL.2018.2822314
M3 - Journal article
AN - SCOPUS:85044736063
SN - 0885-8993
VL - 33
SP - 9122
EP - 9126
JO - IEEE Transactions on Power Electronics
JF - IEEE Transactions on Power Electronics
IS - 11
M1 - 8329538
ER -