TY - JOUR
T1 - Adaptive generalized predictive voltage control of islanded ac microgrid in presence of symmetric and asymmetric faults
AU - Felegari, Bashir
AU - Asvadi-Kermani, Omid
AU - Oshnoei, Arman
AU - Momeni, Hamidreza
AU - Muyeen, S.M.
PY - 2024/1
Y1 - 2024/1
N2 - In islanded microgrids, efficiently controlling the output voltage and frequency of voltage source inverters while maintaining stability poses a significant challenge, particularly during grid fault conditions. This paper presents an online adaptive Kalman-based constrained generalized predictive voltage controller (AGPVC) that there are constraints on the inverter control signal and its changes to maintain microgrid s’ voltage and frequency are stayed within the specified limits and restore them to reference values after short circuit faults, after the system s’ dynamic changes. Notably, the proposed controller operates without requiring knowledge of the system's physical parameters, relying solely on local information to regulate the inverter output. The constrained and adaptive model estimation mechanisms increase the stability and scalability of the proposed method for implementation on the different systems. The transient and steady-steady state response of the output voltage in both normal and faulty conditions shows that for the 380 V reference maximum voltage drop during fault is 40 V less than the traditional method after the fault happens. The effectiveness of the proposed controller is verified through time-domain simulations conducted in MATLAB/Simulink.
AB - In islanded microgrids, efficiently controlling the output voltage and frequency of voltage source inverters while maintaining stability poses a significant challenge, particularly during grid fault conditions. This paper presents an online adaptive Kalman-based constrained generalized predictive voltage controller (AGPVC) that there are constraints on the inverter control signal and its changes to maintain microgrid s’ voltage and frequency are stayed within the specified limits and restore them to reference values after short circuit faults, after the system s’ dynamic changes. Notably, the proposed controller operates without requiring knowledge of the system's physical parameters, relying solely on local information to regulate the inverter output. The constrained and adaptive model estimation mechanisms increase the stability and scalability of the proposed method for implementation on the different systems. The transient and steady-steady state response of the output voltage in both normal and faulty conditions shows that for the 380 V reference maximum voltage drop during fault is 40 V less than the traditional method after the fault happens. The effectiveness of the proposed controller is verified through time-domain simulations conducted in MATLAB/Simulink.
KW - Adaptive control
KW - Faults
KW - Kalman filter estimation
KW - Model Predictive Control
UR - http://www.scopus.com/inward/record.url?scp=85175148332&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.epsr.2023.109964
DO - https://doi.org/10.1016/j.epsr.2023.109964
M3 - Journal article
SN - 0378-7796
VL - 226
JO - Electric Power Systems Research
JF - Electric Power Systems Research
M1 - 109964
ER -