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 identifying behind-the-meter battery energy storage systems (BESS) in a distribution system includes measuring net power over a number of days via a meters at different locations in the distribution system. Using a time series of the measurement, a behind-the-meter BESS is detected by detecting flat intervals where the measured net power is substantially constant for a minimum continuous period, indicating BESS charge/discharge activity. If a BESS is detected, the time series data is used to detect first, second and third states that respective define net consumption, net generation and flat intervals indicating BESS charge/discharge activity. One or more eligible days are then determined that include a state change from the third state to the first state and a state change from the third state to the second. Intervals of BESS charge/discharge activity in the eligible days are extracted to evaluate a size of the detected BESS.

Abstract: A method for adding assets to a distribution network includes using a placement generation engine to generate discrete placements of assets to be added to the distribution network subject to asset-installation constraint(s). Each placement is defined by a mapping of an asset, from multiple assets of different sizes, to a placement location defined by a node or branch of the distribution network. Each placement is used to update an operational circuit model of the distribution network for tuning control parameters of one or more controllers of the distribution network for robust operation over a range of load and/or generation scenarios. A cost function is evaluated for each placement based on a simulated operation. Parameters of the placement generation engine are iteratively adjusted based on the evaluated cost functions to arrive at an optimal placement and sizing of assets to be added to the distribution network.

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: A method for controlling voltage in a feeder of a distribution system having a plurality of DERs includes executing a feedback control using an integral controller. A voltage signal is generated using measured or estimated voltages at multiple locations along the feeder. An error is determined between the voltage signal and a defined voltage limit. The error is input to a controller including an integrator to generate a control action to counteract the error. The control action is distributed among at least some controllable DERs, from the plurality of DERs, that are capable of responding to the control action by generating actuation signals for absorbing reactive power from or injecting reactive power into the feeder, and/or for reducing active power or increasing active power in the feeder. The control action continues to increase until the voltage signal reaches the defined voltage limit, to thereby control voltage in the feeder.

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 is for the generation of patterns for identifying faults in power supply systems. In this case, values characterizing a state of the power supply system are used for measurable variables specific to the power supply system for various times in a power supply system and values are determined for the variables specific to the power supply system via a model for the power supply system. In this case, the determination via a model is based on known system-specific input variables and unknown system-specific variables, and the unknown system-specific variables are determined in accordance with a fault-free functioning power supply system. Finally, a pattern for identifying faults is generated by forming the difference between the values characterizing the state and the values determined via the model for the various times.

Abstract: System and method simulate power distribution system reconfigurations for multiple contingencies. Decision tree model is instantiated as a graph with nodes and edges corresponding to simulated outage states of one or more buses in the power distribution system and simulated states of reconfigurable switches in the power distribution system, Edges related to each outage are disconnected. A reconfiguration path is determined with a plurality of switches reconfigured to a closed state by an iteration of tree search algorithms. A simulation estimates feeder cable and transformer loading and bus voltages on the reconfigured path for comparing against constraints including system capacity ratings and minimum voltage.

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: A method for controlling a power distribution system having a number of discretely controllable devices includes processing a system state, defined by observations acquired via measurement signals from a number of meters, using a reinforcement learned control policy including a deep learning model, to output a control action including integer actions for the controllable devices. The integer actions are determined by using learned parameters of the deep learning model to compute logits for a categorical distribution of predicted actions from the system state, that define switchable states of the controllable devices. The logits are processed to reduce the categorical distribution of predicted actions for each controllable device to an integer action for that controllable device. The control action is communicated to the controllable devices for effecting a change of state of one or more of the controllable devices, to regulate voltage and reactive power flow in the power distribution system.

Abstract: A method for controlling a power distribution system having a number of nodes and controllable grid assets associated with at least some of the node includes acquiring observations via measurement signals associated with respective nodes and generating a graph representation of a system state based on the observations and topological information of the power distribution system. The topological information is used to determine edges defining connections between nodes. The observations are used to determine nodal features of respective nodes, which are indicative of a measured electrical quantity and a status of controllable grid assets associated with the respective node. The graph representation is processed using a reinforcement learned control policy to output a control action for effecting a change of status of one or more of the controllable grid assets, to regulate voltage and reactive power flow in the power distribution system based on a volt-var optimization objective.

Abstract: A computer-implemented method for identifying a topology of a power distribution grid having a number of transformers includes acquiring measurement signals of one or more electrical quantities pertaining to nodes of the power distribution grid. A graph representation is generated using the measurement signals and grid topological information, wherein the measurement signals pertaining to respective nodes are used to derive node features and the grid topological information is used to encode edges representing certain and uncertain connections between the nodes. The graph representation is processed using a graph neural network to classify the nodes and output a mapping of each of the nodes to one of the transformers, whereby a status of the uncertain connections is determined.

Abstract: Systems, methods, and computer-readable media are disclosed for planning and scheduling of manufacturing using a receding horizon planning approach that enables the manufacture of multiple products in a flexible and efficient manner. A receding horizon planning engine is provided that receives input data indicative of various manufacturing parameters associated with the manufacture of various products and utilizes the input data to solve an optimization problem with respect to a cost function to generate a receding horizon execution plan indicative of a set of planned manufacturing steps to be executed. Some subset of the planned manufacturing steps (which may include all planned steps) may then be executed. Upon completion of execution of the subset of planned manufacturing steps or upon the occurrence of a trigger event, the optimization problem may be re-solved to obtain a new receding horizon execution plan for a subsequent set of planned manufacturing steps.

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 for designing a product comprising physical hardware and a controller for controlling the physical hardware includes generating a detailed hardware model describing the physical hardware and a controller model corresponding to the controller based on a set of user requirements. An optimal design of the physical hardware and the controller is determined by solving a multi-objective optimization problem comprising a first objective function defining hardware design objectives, and a second objective function defining objectives for the controller model for the physical hardware.

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.