公开(公告)号：US09337662B2

公开(公告)日：2016-05-10

申请号：US13832670

申请日：2013-03-15

Applicant: ABB Research Ltd.

Inventor： Ernst Scholtz ,  Vaibhav D. Donde ,  Jean-Charles Tournier

IPC: H02J4/00 ,  H02J3/06 ,  H02J3/00

CPC classification number: H02J4/00 ,  H02J3/06 ,  H02J2003/007 ,  Y02E60/76 ,  Y04S40/22

Abstract: Techniques are disclosed for performing the estimation and/or prediction of the dynamic system state of large power system networks, using a multi-processor approach. More particularly, a large power system network is divided into smaller sub-systems, each sub-system having associated dynamic state variables. Each sub-system is assigned to one or more of a plurality of processing elements, and dynamic state variables for each sub-system are estimated or predicted independently, using the processing elements and sensor measurements. In several embodiments, the dynamic state of each sub-system is computed through the construction of a set of dedicated observers, such as linear parameter-varying (LPV) observers, which are designed to reduce the effects of other sub-systems on the state estimation problem.

Abstract translation: 公开了使用多处理器方法来执行大型电力系统网络的动态系统状态的估计和/或预测的技术。 更具体地说，大型电力系统网络被分成较小的子系统，每个子系统具有相关联的动态状态变量。 每个子系统被分配给多个处理元件中的一个或多个，并且使用处理元件和传感器测量来独立地估计或预测每个子系统的动态状态变量。 在几个实施例中，通过构建一组专用观察者（诸如线性参数变化（LPV）观察者）来计算每个子系统的动态，其被设计为减少其他子系统对该状态的影响 估计问题。

公开(公告)号：US20130338841A1

公开(公告)日：2013-12-19

申请号：US13832670

申请日：2013-03-15

Applicant: ABB RESEARCH LTD.

Inventor： Ernst Scholtz ,  Vaibhav D. Donde ,  Jean-Charles Tournier

IPC: H02J4/00

CPC classification number: H02J4/00 ,  H02J3/06 ,  H02J2003/007 ,  Y02E60/76 ,  Y04S40/22

Abstract: Techniques are disclosed for performing the estimation and/or prediction of the dynamic system state of large power system networks, using a multi-processor approach. More particularly, a large power system network is divided into smaller sub-systems, each sub-system having associated dynamic state variables. Each sub-system is assigned to one or more of a plurality of processing elements, and dynamic state variables for each sub-system are estimated or predicted independently, using the processing elements and sensor measurements. In several embodiments, the dynamic state of each sub-system is computed through the construction of a set of dedicated observers, such as linear parameter-varying (LPV) observers, which are designed to reduce the effects of other sub-systems on the state estimation problem.

Abstract translation: 公开了使用多处理器方法来执行大型电力系统网络的动态系统状态的估计和/或预测的技术。 更具体地说，大型电力系统网络被分成较小的子系统，每个子系统具有相关联的动态状态变量。 每个子系统被分配给多个处理元件中的一个或多个，并且使用处理元件和传感器测量来独立地估计或预测每个子系统的动态状态变量。 在几个实施例中，通过构建一组专用观察者（诸如线性参数变化（LPV）观察者）来计算每个子系统的动态，其被设计为减少其他子系统对该状态的影响 估计问题。