TY - JOUR
T1 - Networked Fuzzy Predictive Control of Power Buffers for Dynamic Stabilization of DC Microgrids
AU - Vafamand, Navid
AU - Khooban, Mohammad Hassan
AU - Dragicevic, Tomislav
AU - Blaabjerg, Frede
PY - 2019/2
Y1 - 2019/2
N2 - This letter investigates the fuzzy model predictive control synthesis of networked controlled power buffer for dynamic stabilization of a dc microgrid (MG). The proposed is based on Takagi-Sugeno fuzzy model and model predictive scheme to mitigate the network-induced delays from the sensor-to-controller and controller-to-actuator links. By employing the so-called time-stamp technique and network delay compensator (NDC), the delays are computed and compensated, which improves the effectiveness and robustness of the proposed controller. Due to the usage of two NDCs, the presented approach is robust against the network delays and results in small computational burden. Therefore, it can widely be employed on large distributed power systems. To show the merits of the proposed approach, it is applied to a dc MG that feeds one constant power load. Results show the simplicity of designing the controller and better robustness against the network's delays compared to the state-of-the-art methods. Additionally, hardware-in-the-loop simulations are presented to prove the practical applicability of the proposed controller.
AB - This letter investigates the fuzzy model predictive control synthesis of networked controlled power buffer for dynamic stabilization of a dc microgrid (MG). The proposed is based on Takagi-Sugeno fuzzy model and model predictive scheme to mitigate the network-induced delays from the sensor-to-controller and controller-to-actuator links. By employing the so-called time-stamp technique and network delay compensator (NDC), the delays are computed and compensated, which improves the effectiveness and robustness of the proposed controller. Due to the usage of two NDCs, the presented approach is robust against the network delays and results in small computational burden. Therefore, it can widely be employed on large distributed power systems. To show the merits of the proposed approach, it is applied to a dc MG that feeds one constant power load. Results show the simplicity of designing the controller and better robustness against the network's delays compared to the state-of-the-art methods. Additionally, hardware-in-the-loop simulations are presented to prove the practical applicability of the proposed controller.
KW - DC microgrid (MG)
KW - Constant power load (CPL)
KW - Takagi-Sugeno (TS) fuzzy model
KW - Hardware-in-the-loop (HiL)
KW - Model predictive controller (MPC)
KW - Random network delay
UR - http://www.scopus.com/inward/record.url?scp=85045301994&partnerID=8YFLogxK
U2 - 10.1109/TIE.2018.2826485
DO - 10.1109/TIE.2018.2826485
M3 - Letter
SN - 0278-0046
VL - 66
SP - 1356
EP - 1362
JO - I E E E Transactions on Industrial Electronics
JF - I E E E Transactions on Industrial Electronics
IS - 2
M1 - 8336888
ER -