TY - JOUR
T1 - Fault diagnosis and classification of water pump using adaptive neuro-fuzzy inference system based on vibration signals
AU - Moosavian, Ashkan
AU - Khazaee, Meghdad
AU - Ahmadi, Hojat
AU - Khazaee, Majid
AU - Najafi, Gholamhassan
N1 - Publisher Copyright:
© 2015, © The Author(s) 2015.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2015/9/7
Y1 - 2015/9/7
N2 - The development of microgrids is an advantageous option for integrating rapidly growing renewable energies. However, the stochastic nature of renewable energies and variable power demand have created many challenges like unstable voltage/frequency and complicated power management and interaction with the utility grid. Recently, predictive control with its fast transient response and flexibility to accommodate different constraints has presented huge potentials in microgrid applications. This paper provides a comprehensive review of model predictive control (MPC) in individual and interconnected microgrids, including both converter-level and grid-level control strategies applied to three layers of the hierarchical control architecture. This survey shows that MPC is at the beginning of the application in microgrids and that it emerges as a competitive alternative to conventional methods in voltage regulation, frequency control, power flow management and economic operation optimization. Also, some of the most important trends in MPC development have been highlighted and discussed as future perspectives.
AB - The development of microgrids is an advantageous option for integrating rapidly growing renewable energies. However, the stochastic nature of renewable energies and variable power demand have created many challenges like unstable voltage/frequency and complicated power management and interaction with the utility grid. Recently, predictive control with its fast transient response and flexibility to accommodate different constraints has presented huge potentials in microgrid applications. This paper provides a comprehensive review of model predictive control (MPC) in individual and interconnected microgrids, including both converter-level and grid-level control strategies applied to three layers of the hierarchical control architecture. This survey shows that MPC is at the beginning of the application in microgrids and that it emerges as a competitive alternative to conventional methods in voltage regulation, frequency control, power flow management and economic operation optimization. Also, some of the most important trends in MPC development have been highlighted and discussed as future perspectives.
KW - adaptive neuro-fuzzy inference system
KW - Fault diagnosis
KW - statistical features
KW - vibration signals
KW - water pump
UR - http://www.scopus.com/inward/record.url?scp=84940932098&partnerID=8YFLogxK
U2 - 10.1177/1475921715591873
DO - 10.1177/1475921715591873
M3 - Journal article
AN - SCOPUS:84940932098
SN - 1475-9217
VL - 14
SP - 402
EP - 410
JO - Structural Health Monitoring
JF - Structural Health Monitoring
IS - 5
ER -