Parallel computation of dynamic state estimation for power system

摘要

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.

主权项

1. A method for monitoring the state of a power system network that includes one or more power generators, a plurality of power buses, and a plurality of monitoring sensors, the method comprising:
dividing the power system network into a plurality of sub-systems; assigning each of one or more of the sub-systems to one or more of a plurality of processing elements, each sub-system having a plurality of associated dynamic state variables; and estimating or predicting the associated dynamic state variables for each sub-system at a least real-time speeds using the plurality of processing elements and measurements from the plurality of monitoring sensors, such that the estimating or predicting for each sub-system is independent of the estimating or predicting for the remaining sub-systems.