In order to provide a power grid decision-making support device and method which are capable of providing operator decision-making support, and quickly presenting control candidates, and a system which applies the same, one representative embodiment of the present invention provides a power grid decision-making support device characterized by comprising: a control candidate learning unit for deriving, by learning, a plurality of control candidate models for stabilizing a power grid; a control candidate extraction unit for extracting, from the plurality of control candidate models derived by the control candidate learning unit, control candidates using power grid measurement data and extraction parameters; a control candidate evaluation unit for evaluating the control candidates using a power grid model and the control candidates; and an information presentation unit for presenting information about the evaluation results and the control candidates.

Providing a power system and a method for stabilizing a system, in which the number of generators to be disconnected is reduced to narrow an area influenced by a grid fault in the case where the reliability of the state estimation calculation is judged to be high. The power system stabilizing method applied to a power system configured to include a plurality of feeders including circuit breakers, a plurality of nodes, a plurality of generators, and a plurality of loads, in which method: a protection relay detects a grid fault by using an output from a first sensor installed close to the circuit breaker, thereby opening-controlling the circuit breaker, and the circuit breaker is opening-controlled by a power system stabilization output; a state estimation value of a power system obtained by using the first sensor output and a state detection value, of the power system, containing information associated with measurement time measured in the power system are compared with each other to judge reliability of the state estimation value; the circuit breaker which is to be newly cut off from a viewpoint of power system stability after occurrence of a grid fault at a supposed grid fault point of the power system is stored, and the circuit breaker which is to be cut off every reliability judgment result of the state estimation value is stored; and at the time of occurrence of a grid fault of the power system, a turn-off command for the circuit breaker which is selected in response to the reliability judgment result of the state estimation value so as to be newly cut off is set as the power system stabilization output.

Systems, methods, and products are described herein for identifying deviations within a power system. Using time-synchronized measurement devices, a set of voltages and currents associated with a plurality of electrical components within the power system are continuously measured. For each electrical component of the plurality of electrical components, a representative set of parameters are recursively determined based on the measured set of voltages and currents. For each electrical component, an electrical characteristic value is determined based on the representative set of parameters. For each electrical component, a deviation of the electrical component is identified based on comparison of the determined electrical characteristic value with a reference value of the electrical characteristic of the electrical component or based on identifying the deviation by means of a filtered rate of change. An alert of the deviation is provided for further characterization of an abnormality in the power system.

There is provided a power system stability analysis device that analyzes stability of a power system by obtaining measurement data from a high-accuracy measurement device and existing measuring instruments installed in the power system, the apparatus including: a system state estimation unit that estimates a system state of the power system by using measurement data from the existing measuring instruments at a plurality of points in the power system; a synchronous stability analysis unit that analyzes synchronous stability in an assumed failure by using an estimation result of the system state; and a synchronous stability analysis correction unit that corrects the synchronous stability according to a difference between the estimation result of the system state and the measurement data of the high-accuracy measurement device to improve accuracy of synchronous stability analysis of the power system.

A method of controlling a regulating transformer with a settable translation ratio, switchable between a first and second AC-mains includes the following operations: detecting phasor data of phasors of the first and/or second AC-mains; determining an equivalent circuit diagram with equivalent circuit diagram parameters for the first AC-mains; determining a load model with load model parameters for the second AC-mains; determining the equivalent circuit diagram parameters and the load model parameters from the phasor data; and when switching over to a desired translation ratio is to take place: predicting a working point of the second AC-mains for the desired translation ratio; checking a stability criterion in the second AC-mains for the predicted working point; and switching over to the desired translation ratio is carried out upon the stability criterion being fulfilled, but otherwise not switching over to the desired translation ratio.

Methods, systems, and controllers are described herein for controlling an electrical power system. A time-synchronized measurement of a phasor from one or more phasor measurement units is fed back to a feedback controller. Distributed energy resources of the electrical power system are controlled by the feedback controller using feedback control algorithms by sending, to distributed energy resources, a power setpoint derived from the time-synchronized measurement of the phasor.

Systems, methods, and products are described herein for identifying deviations within a power system. Using time-synchronized measurement devices, a set of voltages and currents associated with a plurality of electrical components within the power system are continuously measured. For each electrical component of the plurality of electrical components, a representative set of parameters are recursively determined based on the measured set of voltages and currents. For each electrical component, an electrical characteristic value is determined based on the representative set of parameters. For each electrical component, a deviation of the electrical component is identified based on comparison of the determined electrical characteristic value with a reference value of the electrical characteristic of the electrical component or based on identifying the deviation by means of a filtered rate of change. An alert of the deviation is provided for further characterization of an abnormality in the power system.

Waveforms in power grids typically reveal a certain pattern with specific features and peculiarities driven by the system operating conditions, internal and external uncertainties, etc. This prompts an observation of different types of waveforms at the measurement points (substations). An innovative next-generation smart sensor technology includes a measurement unit embedded with sophisticated analytics for power grid online surveillance and situational awareness. The smart sensor brings additional levels of smartness into the existing phasor measurement units (PMUs) and intelligent electronic devices (IEDs). It unlocks the full potential of advanced signal processing and machine learning for online power grid monitoring in a distributed paradigm. Within the smart sensor are several interconnected units for signal acquisition, feature extraction, machine learning-based event detection, and a suite of multiple measurement algorithms where the best-fit algorithm is selected in real-time based on the detected operating condition. Embedding such analytics within the sensors and closer to where the data is generated, the distributed intelligence mechanism mitigates the potential risks to communication failures and latencies, as well as malicious cyber threats, which would otherwise compromise the trustworthiness of the end-use applications in distant control centers. The smart sensor achieves a promising classification accuracy on multiple classes of prevailing conditions in the power grid and accordingly improves the measurement quality across the power grid.

Electrical circuit control techniques in power systems are disclosed herein. In one embodiment, a supervisory computer in the power system can be configured to fit phasor measurement data from phasor measurement units into a Gaussian distribution with a corresponding Gaussian confidence level. When the Gaussian confidence level of the fitted Gaussian distribution is above a Gaussian confidence threshold, the supervisory computer can be configured to perform an ambient analysis on the received phasor measurement data to determine an operating characteristic of the power system. The supervisory computer can then automatically applying at least one electrical circuit control action to the power system in response to the determined operating characteristic.

Example embodiments described herein are directed towards dynamic state estimation of an operating state of a generator in a power system. Such estimation is performed for an individual generator in real time with improved accuracy and without the use of Global Position System (GPS) synchronization.