微网利用光伏、风机等可再生能源发电(renewable energy source of electricity,RES-E)并与能量存储系统配合向本地负荷供电,可以减小能量传输损耗以及大电网扰动的影响。然而,微网中的可再生能源分布式电源出力与负荷逆向分布,如何利...微网利用光伏、风机等可再生能源发电(renewable energy source of electricity,RES-E)并与能量存储系统配合向本地负荷供电,可以减小能量传输损耗以及大电网扰动的影响。然而,微网中的可再生能源分布式电源出力与负荷逆向分布,如何利用储能元件实现能源就地高效利用、避免大量过剩功率入网是当前微网发展重点之一。针对这一问题,该文提出一种可变阈值的自动适应控制方法,采用自适应智能技术控制储能元件的即时充放电功率,提高电能分配效率,实现对于负荷的"削峰填谷"。文中利用现场测得的RES数据对提出的方法进行验证,结果表明与传统利用固定阈值和需要精确预测的方法相比提出的方法在不需要RES和负荷预测数据的情况下,可以更有效减小负荷峰值,得到更加平滑的负荷曲线,同时最大程度地利用本地RES能源。展开更多
This paper has proposed a fault detecting method for DC supplied permanent magnet synchronize motor(PMSM)drive systems by monitoring the drive DC input current.This method is based on the fault signal propagation from...This paper has proposed a fault detecting method for DC supplied permanent magnet synchronize motor(PMSM)drive systems by monitoring the drive DC input current.This method is based on the fault signal propagation from the torque disturbance on the motor shaft to the inverter input currents.The accuracy of this fault signal propagation is verified by the Matlab simulation and experiment tests with the emulated faulty conditions.The feasible of this approach is shown by the experimental test conducted by the Spectra test rig with the real gearbox fault.This detection scheme is also suitable for monitoring other drive components such as the power converter or the motor itself using only one set of current transducers mounted at the DC input side.展开更多
文摘微网利用光伏、风机等可再生能源发电(renewable energy source of electricity,RES-E)并与能量存储系统配合向本地负荷供电,可以减小能量传输损耗以及大电网扰动的影响。然而,微网中的可再生能源分布式电源出力与负荷逆向分布,如何利用储能元件实现能源就地高效利用、避免大量过剩功率入网是当前微网发展重点之一。针对这一问题,该文提出一种可变阈值的自动适应控制方法,采用自适应智能技术控制储能元件的即时充放电功率,提高电能分配效率,实现对于负荷的"削峰填谷"。文中利用现场测得的RES数据对提出的方法进行验证,结果表明与传统利用固定阈值和需要精确预测的方法相比提出的方法在不需要RES和负荷预测数据的情况下,可以更有效减小负荷峰值,得到更加平滑的负荷曲线,同时最大程度地利用本地RES能源。
基金This work is supported by the Ningbo Science and Technology Bureau,China under Grant 2014A35007 and 2013A31012.
文摘This paper has proposed a fault detecting method for DC supplied permanent magnet synchronize motor(PMSM)drive systems by monitoring the drive DC input current.This method is based on the fault signal propagation from the torque disturbance on the motor shaft to the inverter input currents.The accuracy of this fault signal propagation is verified by the Matlab simulation and experiment tests with the emulated faulty conditions.The feasible of this approach is shown by the experimental test conducted by the Spectra test rig with the real gearbox fault.This detection scheme is also suitable for monitoring other drive components such as the power converter or the motor itself using only one set of current transducers mounted at the DC input side.
