TY - GEN
T1 - Optimal allocation of robotic wind turbine inspectors in a wind farm
AU - Chen, Juntao
AU - Zhu, Quanyan
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/30
Y1 - 2015/9/30
N2 - Wind turbines play an important role in producing clean energy and reducing pollution, but they can fail during the operation due to various types of faults and environment uncertainties. Therefore, one of the key problems in wind energy systems is the resilient control to achieve their high reliability. To reach this goal, we first design a resilient controller by incorporating faults into the wind turbine model. Second, we utilize various kinds of robotic wind turbine inspectors (RWTI) that can detect different types of faults to support the resilient control. Then, we formulate an RWTI allocation problem which aims to minimize the damage due to faults in a wind farm. We quantify the damage by computing the control cost under faults, and also take the probability of fault occurrence into account. The solution to this optimization problem yields an optimal dispatching strategy of RWTIs in a wind farm, and enhances the resiliency of the wind energy system.
AB - Wind turbines play an important role in producing clean energy and reducing pollution, but they can fail during the operation due to various types of faults and environment uncertainties. Therefore, one of the key problems in wind energy systems is the resilient control to achieve their high reliability. To reach this goal, we first design a resilient controller by incorporating faults into the wind turbine model. Second, we utilize various kinds of robotic wind turbine inspectors (RWTI) that can detect different types of faults to support the resilient control. Then, we formulate an RWTI allocation problem which aims to minimize the damage due to faults in a wind farm. We quantify the damage by computing the control cost under faults, and also take the probability of fault occurrence into account. The solution to this optimization problem yields an optimal dispatching strategy of RWTIs in a wind farm, and enhances the resiliency of the wind energy system.
KW - Fault Analysis
KW - Resilient Control
KW - Resource Allocation
KW - Robotic Wind Turbine Inspector
UR - http://www.scopus.com/inward/record.url?scp=84956865070&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84956865070&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2015.7286634
DO - 10.1109/PESGM.2015.7286634
M3 - Conference contribution
AN - SCOPUS:84956865070
T3 - IEEE Power and Energy Society General Meeting
BT - 2015 IEEE Power and Energy Society General Meeting, PESGM 2015
PB - IEEE Computer Society
T2 - IEEE Power and Energy Society General Meeting, PESGM 2015
Y2 - 26 July 2015 through 30 July 2015
ER -