Abstract: An optimized protection system for a power system consisting of power lines, transformers, generation units, and loads is provided. The optimized protection system includes grid-protection units (GPUs) each including at least one grid-protection unit protection function (GPU PF) that detects fault signals like currents or voltages and disconnects a power line, a transformer, a generation unit, or a load based on the GPU PF. The optimized protection system further includes a plurality of inverter-based resources (IBRs) as the generation units such that an IBR includes an inverter-based resource supervisory controller (IBR SC) that controls an inverter-based resource (IBR) output. The optimized protection system further includes a protection system co-optimizer for co-optimization of the IBR SC and the GPU PF such that they together optimize the protection system performance regarding dependability, security, and operation speed for any kind of grid faults.

Abstract: A system determines a location and a size of a new power generation or power regulating unit within a current system architecture of a power system including a plurality of power generation units. The system comprises a controller including a processor and a memory, computer-readable logic code stored in the memory which, when executed by the processor, causes the controller to execute a hybrid algorithm as a combination of a data-driven algorithm and a model-based algorithm to determine an optimal location and size of the new power generation or power regulating unit. The data-driven algorithm encodes a location and a size information. The controller to enable the model-based algorithm to optimize performance of a selected location and size of the new power generation or power regulating unit, which is based on a linearized system or a nonlinear system to provide guidance for the data-driven algorithm to incorporate physical rules and verify a new system architecture.

Abstract: A computer-implemented method for online calibration of power system model against a power system includes iteratively approximating the power system model, at sequential optimization steps, around a moving design point defined by parameter values of a set of calibration parameters of the power system model. At each optimization step, an approximated system model is used to transform a dynamic input signal into a model output signal, which is compared with measurement signals obtained from measurement devices installed in the power system that define an actual power system output signal generated in response to the dynamic input signal. Parameter values of the calibration parameters adjusted in a direction to minimize an error between the model output signal and the actual power system output signal. The power system model is calibrated against the power system based on resulting optimal values of the calibration parameters.

Abstract: A computer-implemented method for solar energy disaggregation at a node of a distribution system includes obtaining first data including samples of averaged net power measured by a meter installed at the node and second data including samples of solar irradiation local to the node averaged over intervals temporally correlated with the first data. A physics-based model of the node is trained using the first and second data, to optimize a set of model parameters. The physics-based model is defined such that an average net power includes a composite of an average solar generation and an average power consumption at the node and the average solar generation is modeled as a function of an average solar irradiation. An aggregate solar generation at the node is estimated/predicted from actual irradiation data/irradiation forecast data local to the node using a model parameter optimized by the training.

Abstract: An optoelectrical assembly includes a voltage conversion circuit, an optoelectrical semiconductor device, an optoelectrical detection circuit, and a controller. The voltage conversion circuit provides a bias voltage to the optoelectrical semiconductor device, and adjusts, by changing the bias voltage, an output optical power. A differential resistance value (Rdiff) of the optoelectrical semiconductor device within a range of a target optical power satisfies 0.1 ohm (?)?Rdiff?50?, and the differential resistance value is a ratio of a voltage variation to a current variation corresponding to the voltage variation. The optoelectrical detection circuit detects the output optical power, and outputs a detection signal to the controller. The controller determines a control signal based on the detection signal, and outputs the control signal to the voltage conversion circuit, where the control signal is used to adjust the bias voltage.

Abstract: A system and method for estimation of grid impedance in a power converter controller is disclosed in which a current controller is provided to inject an injection current while operating online and coupled to a power grid at a point of common coupling (PCC), the injection current being benign to an operating current of the power converter. A voltage controller is provided to regulate input voltage of the power converter. An impedance module is provided to determine parameters for the injection current, including injection interval and duration, current magnitude, current frequency, and symmetrical components. The impedance module may extract measurements of current and voltage at the PCC at an operating point shifted from a previous operating point in response to the injection current. The impedance module may extract symmetrical components of current and voltage measurements, and compute estimated grid impedance based on the extracted symmetrical components.

Abstract: A method and system for localizing faults in an industrial process is proposed. The industrial process includes a plurality of components. The method includes receiving structural plant data from an industrial plant. A structured model of the process is generated from the structural plant data. Sensor data measuring characteristics of the plurality of components is also received. Parameters of the structured model are identified from the received sensor data and stored. Faults are detected during operation of the industrial plant utilizing the identified parameters and detecting changes in the parameters by comparing current parameters to stored parameters. The fault information is then displayed via a display to an operator.

Abstract: Systems, methods, and computer-readable media are disclosed for autonomous restoration of power systems after natural disasters. An operating mode of a circuit breaker that is in a power system grid and that is coupled to other circuit breakers in the power system grid via communication channels is determined. Based on determining that the operating mode is a normal operating mode, data to parameterize a plurality of power grid restoration scenarios is collected at the circuit breaker. Based on determining that the operating mode is an exception mode, measurement data that includes current and voltage data is received at the circuit breaker, and one of the power system grid restoration scenarios is initiated at the circuit breaker. The power system grid error restoration scenario is selected based at least in part on a status of the plurality of communication channels coupled to the circuit breaker and on the measurement data.

Abstract: Systems and methods are provided for generating a flow control plan for a plurality of components in a flow control system. A decentralized multi-agent control framework is used to plan and schedule for each agent independently without a central processor. Each agent of the multi-agent control framework separately optimizes a local portion of the system as a function of values for one or more parameters. Agents communicate with other connected agents, sharing values for parameters. The communication provides a negotiation and consensus for values of the shared parameters that are used by the agent to recalculate optimized parameters values for the local portion of the system.

Abstract: A computer-based system and method is disclosed for spatial programming of a robotic device. A mixed reality tool may select an object related to one or more interactive tasks for the robotic device. A spatial location of the object may be located including Cartesian coordinates and orientation coordinates of the object. An application program may be executed to operate the robotic device using the spatial location. Based on initial parameters, execution of the one or more tasks by the robotic device on the object related to a skill set may be simulated in a mixed reality environment.

Abstract: A method for estimating an admittance matrix for a transmission network comprises estimating in an upper layer time-series data for hidden nodes in the transmission network, computing in a lower layer an estimated admittance matrix for the transmission network and iteratively exchanging information between the upper layer and the second lower layer to produce a final admittance matrix for the transmission matrix. In some embodiments, the method may further comprise spatially dividing the transmission network into a plurality of subnets in the upper layer and estimating the time-series data for the hidden nodes for each subnet. Estimating the times series data for the hidden nodes for each subnet in parallel.

Abstract: A method of estimating grid admittance is provided and includes receiving an input of a network topology of a distribution grid, categorizing nodes of the network topology of the distribution grid into node-cases, for each node-case, executing a network admittance estimation algorithm from available measurement information and determining a network admittance estimate for the distribution grid with the network topology from results of the network admittance estimation algorithm executed for each node-case.

Abstract: A system and method for estimation of grid impedance in a power converter controller is disclosed in which a current controller is provided to inject an injection current while operating online and coupled to a power grid at a point of common coupling (PCC), the injection current being benign to an operating current of the power converter. A voltage controller is provided to regulate input voltage of the power converter. An impedance module is provided to determine parameters for the injection current, including injection interval and duration, current magnitude, current frequency, and symmetrical components. The impedance module may extract measurements of current and voltage at the PCC at an operating point shifted from a previous operating point in response to the injection current. The impedance module may extract symmetrical components of current and voltage measurements, and compute estimated grid impedance based on the extracted symmetrical components.

Abstract: A method and system for localizing faults in an industrial process is proposed. The industrial process includes a plurality of components. The method includes receiving structural plant data from an industrial plant. A structured model of the process is generated from the structural plant data. Sensor data measuring characteristics of the plurality of components is also received. Parameters of the structured model are identified from the received sensor data and stored. Faults are detected during operation of the industrial plant utilizing the identified parameters and detecting changes in the parameters by comparing current parameters to stored parameters. The fault information is then displayed via a display to an operator.

Abstract: A power distribution and control system for use with a bulk generation system having transmission and distribution systems, the power distribution and control system including a plurality of microgrids each including a power generation element and a load, a plurality of microgrid controllers each associated with one and only one of the plurality of microgrids, and a first communication network. A high-level controller is operable using the first communication network to communicate with the bulk generation system and each of the plurality of microgrid controllers, the high-level controller operable to coordinate the operation of the microgrids during normal system operation.

Abstract: Systems, methods, and computer-readable media are described for addressing the unit commitment problem in a power grid by providing a communication-free control framework according to which each power generating unit in the power grid determines its own operating schedule for turning on or off based solely on local measurements.

Abstract: Systems, methods, and computer-readable media are disclosed for autonomous restoration of power systems after natural disasters. An operating mode of a circuit breaker that is in a power system grid and that is coupled to other circuit breakers in the power system grid via communication channels is determined. Based on determining that the operating mode is a normal operating mode, data to parameterize a plurality of power grid restoration scenarios is collected at the circuit breaker. Based on determining that the operating mode is an exception mode, measurement data that includes current and voltage data is received at the circuit breaker, and one of the power system grid restoration scenarios is initiated at the circuit breaker. The power system grid error restoration scenario is selected based at least in part on a status of the plurality of communication channels coupled to the circuit breaker and on the measurement data.

Abstract: Systems, methods, and computer-readable media are described for addressing the unit commitment problem in a power grid by providing a communication-free control framework according to which each power generating unit in the power grid determines its own operating schedule for turning on or off based solely on local measurements.

Abstract: Systems and methods are provided for generating a flow control plan for a plurality of components in a flow control system. A decentralized multi-agent control framework is used to plan and schedule for each agent independently without a central processor. Each agent of the multi-agent control framework separately optimizes a local portion of the system as a function of values for one or more parameters. Agents communicate with other connected agents, sharing values for parameters. The communication provides a negotiation and consensus for values of the shared parameters that are used by the agent to recalculate optimized parameters values for the local portion of the system.

Abstract: A power distribution and control system for use with a bulk generation system having transmission and distribution systems, the power distribution and control system including a plurality of microgrids each including a power generation element and a load, a plurality of microgrid controllers each associated with one and only one of the plurality of microgrids, and a first communication network. A high-level controller is operable using the first communication network to communicate with the bulk generation system and each of the plurality of microgrid controllers, the high-level controller operable to coordinate the operation of the microgrids during normal system operation.