An operation support device is provided with: a similarity determination unit for determining the similarity between actual measured data and simulated data, said actual measured data being measured in an operation target after performing control on the operation target on the basis of, among a plurality of control candidates managed using a control candidate table, a control candidate corresponding to an event having occurred in the operation target, said simulated data being obtained by a simulation assuming the system state of the operation target after performing control on the operation target on the basis of system data indicating the state of the operation target before performing the control on the operation target; and a control candidate table update unit for updating the control candidate table in accordance with the determination result of the similarity determination unit.

Systems and methods for autonomous voltage control in an electric power system are disclosed which include acquiring state information at buses of the electric power system, detecting a state violation from the state information, generating a first action setting based on the state violation using a deep reinforcement learning (DRL) algorithm by a first artificial intelligent (AI) agent assigned to a first region of the electric power system where the state violation occurs, and maintaining a second action setting by a second AI agent assigned to a second region of the electric power system where no substantial state violation is detected.

Systems, methods, techniques and apparatuses of power network state estimation are disclosed. One exemplary embodiment is a method for state estimation in a power network comprising receiving a set of supervisory control and data acquisition (SCADA) information including a power network topology; generating a SCADA state estimation using the set of SCADA information; receiving, with a cloud-computing architecture, a set of PMU phasors; aligning, with the cloud-computing architecture, a timestamp of the SCADA estimation and a timestamp of the set of PMU phasors; updating, with the cloud-computing architecture, the power network topology using the set of PMU phasors; generating, with the cloud-computing architecture, a hybrid state estimation using the updated power network topology, the set of PMU phasors, and the SCADA state estimation; and transmitting the hybrid state estimation to a local control system.

A method for state estimation of a distribution network comprises: (a) obtaining measurements from phasor measurement units (PMUs) placed at buses in the distribution network; (b) constructing a quotient gradient system (QGS) based on a constraint set H that relates the measurements to state variables of the distribution network; (c) integrating the QGS to reach a steady state; (d) identifying one or more of the state variables whose measurement residuals violate a measurement residual constraint in the constraint set H; (e) integrating a reconstructed QGS, which is reconstructed based on the constraint set H by setting the identified one or more state variables to values of corresponding PMU measurements; (f) iterating steps of (d) and (e) until no measurement residuals violate the measurement residual constraint, to thereby obtain the state estimation; and (g) reporting the state estimation to a control system during real-time monitoring of the distribution network.

In an impedance injection module in which multiple converter units are placed in series to realize a high level of impedance injection, switches, preferably vacuum interrupters, are connected to short the input and the output terminals of each individual unit. Unlike the fault-protecting switch across the entire module, these switches at the individual converter unit level serve several purposes, overload and surge protection of a unit, insertion loss minimization of an idle unit when the required impedance injection is small, and electrically removing a defective injection unit from the power flow to increase the overall reliability of the impedance injection module in the face of the failure of one unit or a few units. For more rapid response, particularly in response to faults, the vacuum interrupter at the unit level may be accompanied by an SCR switch in parallel with it.

Disclosed are systems and methods for utilizing a unique elastic command and control architecture to incorporate certain resiliency qualities in power grid management and outage mitigation.

A method includes performing by a processor: receiving a first plurality of power system frequency measurements from a plurality of phasor measurement units (PMUs) in the power system over a first time interval, generating a first plurality of multi-dimensional ellipsoids based on the first plurality of power system frequency measurements, extracting a plurality of first graphic parameter values from the first plurality of multi-dimensional ellipsoids, respectively, performing a regression analysis on the plurality of first graphic parameter values to generate a predictive relationship between the plurality of first graphic parameter values and inertia values of the power system, receiving a second plurality of power system frequency measurements from the plurality of PMUs over a second time interval, generating a second plurality of multi-dimensional ellipsoids based on the second plurality of power system frequency measurements, extracting a plurality of second graphic parameter values from the second plurality of multi-dimensional ellipsoids, respectively, and estimating a current inertia value of the power system based on the plurality of second graphic parameter values by using the predictive relationship between the plurality of first graphic parameter values and the inertia values of the power system.

A method includes performing by a processor: receiving a plurality of synchrophasor measurements of a power system signal associated with a time interval from a phasor measurement unit (PMU), each of the plurality of synchrophasor measurements including a phase angle, frequency value, and a timestamp associated with the synchrophasor measurement, determining a plurality of relative phase angles based on the plurality of phase angles, determining a correlation coefficient between the plurality of relative phase angles and a plurality of corresponding frequency values of the power system signal, and detecting an error in the plurality of timestamps based on the correlation coefficient; estimating the error in the plurality of timestamps based on the plurality of relative phase angles and the plurality of corresponding frequency values.

A power system model parameter conditioning tool including a server control processor in communication with phasor measurement unit monitored data records of multiple disturbance events, a model calibration unit providing event screening, power system model simulation, and simultaneous tuning of model parameters. The model calibration performing a simulation using default model parameters, the processor comparing the simulation results to the monitored data. If the prediction is within threshold, then terminating conditioning; else performing parameter identifiability analysis to determine differing effects of various model parameters on power system model accuracy, selecting a parameter set causing a degradation in power system model prediction, and updating the default model parameters corresponding to members of the parameter set with values selected to reduce the degradation. A method and a non-transitory computer readable medium are also disclosed.

A single point to modify a behavior of intelligent electronic devices (IEDs) between active and testing modes is disclosed herein. The IED may include a variety of logical nodes, each with a behavior object related to the active or testing mode behavior of the IED. A single testing mode selection point of the IED is used to modify each of the logical nodes to change between active and testing modes. The testing mode selection point may be a logical input. The testing mode selection point may be a physical switch on the IED.