Abstract: Methods and Systems for dynamic state estimation (DSE) in an electric power system (EPS) having a multi-control area interconnected power network. Estimating current states of buses in a control area using historical data via a state transition model of buses of the control area. Receiving, a current state of 1-hop and n-hop neighboring buses located in neighboring control areas. A 1-hop neighboring bus connects to one boarder bus of the control area via a tie-branch and n-hop neighboring bus is connected to the 1-hop neighboring bus via at least one tie-branch, wherein n is greater than one. Determining measurements of states from buses in the control area. Finally, updating the current state of the buses using a measurement model on a basis of estimated current states of the control area, the received states from the neighboring control areas, and the measurements of states from buses in the control area.

Abstract: Methods and Systems for detecting anomalies in a control area of a control system. Estimating for the control area, a first state from a historical state over a first time period using a model of dynamics, and defining a transition of the first state as a function of control inputs, the first state includes a generator state for each generator, the control inputs include a network state for each bus, a mechanical input to each generator or power consumptions at the buses. Updating estimated first state, by connecting measurements of rotor frequency of each generator and measurements of the network states on the buses with the generator state of each generator, to obtain a second state over a second time period later than the first time period, and detecting anomalies based on a statistic deviation of the second state from its corresponding prediction derived from the first state.

Abstract: Methods and Systems for detecting anomalies in a control area of a control system. Estimating for the control area, a first state from a historical state over a first time period using a model of dynamics, and defining a transition of the first state as a function of control inputs, the first state includes a generator state for each generator, the control inputs include a network state for each bus, a mechanical input to each generator or power consumptions at the buses. Updating estimated first state, by connecting measurements of rotor frequency of each generator and measurements of the network states on the buses with the generator state of each generator, to obtain a second state over a second time period later than the first time period, and detecting anomalies based on a statistic deviation of the second state from its corresponding prediction derived from the first state.

Abstract: Methods and Systems for dynamic state estimation (DSE) in an electric power system (EPS) having a multi-control area interconnected power network. Estimating current states of buses in a control area using historical data via a state transition model of buses of the control area. Receiving, a current state of 1-hop and n-hop neighboring buses located in neighboring control areas. A 1-hop neighboring bus connects to one boarder bus of the control area via a tie-branch and n-hop neighboring bus is connected to the 1-hop neighboring bus via at least one tie-branch, wherein n is greater than one. Determining measurements of states from buses in the control area. Finally, updating the current state of the buses using a measurement model on a basis of estimated current states of the control area, the received states from the neighboring control areas, and the measurements of states from buses in the control area.