DYNAMIC PARAMETER TUNING USING MODIFIED PARTICLE SWARM OPTIMIZATION

    公开(公告)号:US20230266722A1

    公开(公告)日:2023-08-24

    申请号:US18107366

    申请日:2023-02-08

    IPC分类号: G05B13/04

    CPC分类号: G05B13/04

    摘要: Dynamic parameter tuning using particle swarm optimization is disclosed. According to one embodiment, a system for dynamically tuning parameters comprising a control unit; and a system for receiving parameters tuned by the control unit. The control unit receives as input a model selection and definitions, and dynamically tunes a value for each parameter by using a modified particle swarm optimization method. The modified particle swarm optimization method comprises moving particle locations based on a particle's inertia, experience, global knowledge, and a tuning factor. The control unit outputs the dynamically tuned value for each parameter.

    MODEL DRIVEN ESTIMATION OF FAULTED AREA IN ELECTRIC DISTRIBUTION SYSTEMS

    公开(公告)号:US20220285983A1

    公开(公告)日:2022-09-08

    申请号:US17706200

    申请日:2022-03-28

    摘要: A system for estimating faulted area in an electric distribution system. The system includes a database storing input data, a fault detection module to estimate, based on the input data, if a new faulted area estimation process is required, a condition estimation module to estimate condition of metered protective devices, un-metered protective devices, and metered devices (PMDs), an upstream to downstream module to assess condition of each metered protective device, un-metered protective device, and metered device (PMD), starting from a feeder circuit breaker towards feeder downstream, to estimate a tripped protective device and a last metered device upstream of a fault, and a downstream to upstream module configured to assess outaged electric loads or elements towards network upstream to find the common interrupting protective device.

    Dynamic parameter tuning using particle swarm optimization

    公开(公告)号:US09645558B2

    公开(公告)日:2017-05-09

    申请号:US14042539

    申请日:2013-09-30

    IPC分类号: G05B13/02 G05B13/04

    CPC分类号: G05B13/04

    摘要: Dynamic parameter tuning using particle swarm optimization is disclosed. According to one embodiment, a system for dynamically tuning parameters comprising a control unit; and a system for receiving parameters tuned by the control unit. The control unit receives as input a model selection and definitions, and dynamically tunes a value for each parameter by using a modified particle swarm optimization method. The modified particle swarm optimization method comprises moving particle locations based on a particle's inertia, experience, global knowledge, and a tuning factor. The control unit outputs the dynamically tuned value for each parameter.