Mechanical gearboxes are typically employed with doubly-fed induction generatur-based wind turbines.The main drawback of this solution is the gearbox's reliability and maintenance.Using magnetic gearbox in conjunc...Mechanical gearboxes are typically employed with doubly-fed induction generatur-based wind turbines.The main drawback of this solution is the gearbox's reliability and maintenance.Using magnetic gearbox in conjunction with the doubly-fed induction generator is an emerging alternative being promoted by the research community which maintains the reduced size doubly-fed machine and overcomes the mechanical gearbox problems reported by field experience.This paper proposes a novel magnetic gearbox configuration in which a conventional planetary magnetic gearbox is equipped with n-phase coils fitted around the ferromagnetic pole-pieces to extract output electrical power.The turbine mechanical power is thus divided into mechanical power to drive the electrical generator and extra electrical power that can be diverted into a storage system to perform the power leveling function.The proposed configuration can also be used to freely modify the power-speed characteristic as seen by the electrical generator,a highly needed feature for grid frequency support.展开更多
Soft sensors are widely used to predict quality variables which are usually hard to measure.It is necessary to construct an adaptive model to cope with process non-stationaries.In this study,a novel quality-related lo...Soft sensors are widely used to predict quality variables which are usually hard to measure.It is necessary to construct an adaptive model to cope with process non-stationaries.In this study,a novel quality-related locally weighted soft sensing method is designed for non-stationary processes based on a Bayesian network with latent variables.Specifically,a supervised Bayesian network is proposed where quality-oriented latent variables are extracted and further applied to a double-layer similarity meas-urement algorithm.The proposed soft sensing method tries to find a general approach for non-stationary processes via quality-related information where the concepts of local similarities and window confidence are explained in detail.The performance of the developed method is demonstrated by application to a numerical example and a debutanizer column.It is shown that the proposed method outperforms competitive methods in terms of the accuracy of predicting key quality variables.展开更多
文摘Mechanical gearboxes are typically employed with doubly-fed induction generatur-based wind turbines.The main drawback of this solution is the gearbox's reliability and maintenance.Using magnetic gearbox in conjunction with the doubly-fed induction generator is an emerging alternative being promoted by the research community which maintains the reduced size doubly-fed machine and overcomes the mechanical gearbox problems reported by field experience.This paper proposes a novel magnetic gearbox configuration in which a conventional planetary magnetic gearbox is equipped with n-phase coils fitted around the ferromagnetic pole-pieces to extract output electrical power.The turbine mechanical power is thus divided into mechanical power to drive the electrical generator and extra electrical power that can be diverted into a storage system to perform the power leveling function.The proposed configuration can also be used to freely modify the power-speed characteristic as seen by the electrical generator,a highly needed feature for grid frequency support.
基金the National Key Research and Development Program of China(No.2016YFC0301404)the National Natural Science Foundation of China(Nos.51379198 and 61903352)+5 种基金the Natural Science Foundation of Zhejiang Province,China(No.LQ19F030007)the Natural Science Foundation of Jiangsu Province,China(No.BK20180594)the Project of Department of Education of Zhejiang Province,China(No.Y202044960)the China Postdoctoral Science Foundation(No.2020M671721)the Foundation of Key Laboratory of Advanced Process Control for Light Industry(No.APCLI1803)the Fundamental Research Funds for the Provincial Universities of Zhejiang,China(Nos.2021YW18 and 2021YW80)。
文摘Soft sensors are widely used to predict quality variables which are usually hard to measure.It is necessary to construct an adaptive model to cope with process non-stationaries.In this study,a novel quality-related locally weighted soft sensing method is designed for non-stationary processes based on a Bayesian network with latent variables.Specifically,a supervised Bayesian network is proposed where quality-oriented latent variables are extracted and further applied to a double-layer similarity meas-urement algorithm.The proposed soft sensing method tries to find a general approach for non-stationary processes via quality-related information where the concepts of local similarities and window confidence are explained in detail.The performance of the developed method is demonstrated by application to a numerical example and a debutanizer column.It is shown that the proposed method outperforms competitive methods in terms of the accuracy of predicting key quality variables.
