Abstract: Embodiments relate to a motor simulator for an inverter under test (IUT), the motor simulator comprising: a voltage follower inverter for at least partially cancelling an output voltage of the IUT; and an output current control unit for controlling an output current of the IUT on the basis of an estimated current of a simulation target motor.

Abstract: A system and method are provided for damping power system oscillations in a power system network having one or more local inverter-based generators within a plant, the plant connected to a grid at a point of intersection (POI). The system and method include a plant-level controller or local controller that receives one or more grid signals having a characteristic indicative of a power system oscillation. The plant-level controller or local controller generates an auxiliary signal from the grid signals that is used by the local controller of the inverter-based generators. At the local controller, the auxiliary signal is used to modulate reactive power output from the inverter-based generator to change a voltage at the POI, the voltage change damping the power system oscillations.

Abstract: A method for primary frequency regulation (PFR)reserve procurement of a renewable energy power system is provided. The renewable energy power system includes synchronous power sources and renewable energy sources, and the renewable energy sources participate in frequency regulation using virtual synchronous machine (VSM) control.

Abstract: Advanced Distribution Management Systems not generally optimize over the entire feeder because there are few high-fidelity distribution circuit models and real-time distribution-connected sensors are rare. The limited observability at the distribution level makes it difficult to globally optimize distribution operations and issue control setpoints to power systems equipment or Distributed Energy Resources (DER) to perform grid-support services. For example, setpoints can be issued to DER based on results from an optimization module that incorporates a static or time-series feeder simulation. Feeder simulation initial conditions are populated with photovoltaic (PV) and load forecasts, state estimation results, and/or digital twin measurements or state output. The real-time (RT) digital twin runs a model of the feeder to generate state estimation pseudo-measurements since there are limited live feeder measurements.

Abstract: Embodiments relate to an operating system coupled to and controlling at least one Distributed Energy Resource (DER) in a smart grid and includes an electricity distribution network and a 2-dimensional Extremum Seeking (2D-ES) controller coupled to network. The electricity distribution network has first and second inputs and one output and maps all active power and reactive power inputs to the smart grid providing measurements of an objective function. The 2D-ES controller controls the DER and includes an active power loop and a reactive power loop. The active power loop is in communication with the first input and the output, governs active power contribution, and receives measurements of the objective function which contain static and oscillatory components. The reactive power loop is in communication with the second input and the output, governs reactive power contribution, and receives measurements of the objective function which contain static and oscillatory components.

Abstract: A wind power prediction method and system for optimizing a deep Transformer network by whale optimization algorithm are disclosed. The sequence data of wind power and related influence factors are taken as sample data which is divided into a training set and a test set, where the data is trained and predicted by a Transformer network model established according to values of the initialized hyper-parameters, and an average absolute error of wind power prediction is taken as a fitness value of each whale group. A local optimal position is determined according to the initial fitness value of individual whale group, and the current optimal position is updated by utilizing whale group optimization, and the best prediction effect is obtained by comparing the local optimal solution with the global optimal solution. An optimal hyper-parameter combination is obtained after multiple iterations of the whale optimization algorithm, and the wind power is predicted.

Abstract: A wind farm control strategy method, apparatus and device, and a storage medium are provided. The method includes: acquiring incoming flow wind data of a target wind farm, a restriction relationship between wind turbines in the target wind farm and current working condition data of the wind turbines in the target wind farm; inputting the incoming flow wind data, the restriction relationship and the current working condition data into a pre-trained working condition prediction model to obtain target working condition data corresponding to a target generation power of the target wind farm, the target generation power being a maximum generation power of the target wind farm; and controlling operation of the wind turbines in the target wind farm based on the target working condition data.

Abstract: A controller for a plurality of interconnected devices in a system is shown. The controller includes a processing circuit configured to detect that a first device of the plurality of interconnected devices is unavailable and identify a second device of the plurality of interconnected devices schematically dependent upon the first device by conducting a graph theory analysis on schematic relationships indicating connections among the plurality of interconnected devices. The processing circuit is further configured to, in response to identifying the second device schematically dependent upon the first device, generate a reduced subset of the plurality of interconnected devices that excludes the second device. The processing circuit is further configured to operate the reduced subset to transfer one or more resources among the reduced subset via the connections.

Abstract: The present invention proposes a multi-terminal differential protection setting method for a distributed generator T-connected distribution network. The present invention can accurately identify internal faults and external faults of the protected area in the high-proportion distributed generator T-connected distribution network, with sufficient reliability and sensitivity.

Abstract: The present invention relates to a system and a method for controlling photovoltaic balancing, the system comprising: photovoltaic modules wherein the photovoltaic modules are connected in series with each other; node balancing control units for blocking and switching the connected photovoltaic modules when measured data fall below current, voltage, and power control data set to control; a gateway unit for storing the measured data; a real-time control module for classifying, comparing, and analyzing the measured data, storing same in a database, and transmitting a control command to the gateway unit; and an integrated information server for monitoring photovoltaic component devices and measured values, analyzing and processing profile information of the component devices, and providing same to the real-time control module.

Abstract: A site monitoring system (SMS) may analyze information from one or more sites to determine when a device, a sensor, a controller, or other structure or component associated with a network of optically switchable devices has a problem. The system may, if appropriate, act on the problem. In certain embodiments, the system learns customer/user preferences and adapts its control logic to meet the customer's goals. In various embodiments, the system updates a memory component associated with one or more optically switchable windows and/or controllers. The memory component may be updated to reflect an updated control algorithm and/or associated parameters in some cases.

Abstract: A heating, ventilation, and air conditioning (HVAC) fault prediction system for a building including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive HVAC data relating to a plurality of HVAC components, the HVAC data indicating performance of the plurality of HVAC components, generate, based on the received HVAC data, a univariate prediction model and a multivariate prediction model, generate, using the received HVAC data, one or more predicted operational parameters for the plurality of HVAC components corresponding to a future time period, and execute at least one of the univariate prediction model or the multivariate prediction model on the one or more predicted operational parameters to predict a HVAC fault associated with at least one of the plurality of HVAC components to occur during the future time period.

Abstract: An optimal configuration method for a hybrid energy storage of a grid-connected wind storage power generation system is provided, including: performing a frequency domain decomposition on a historical wind power output, to count high-frequency and low-frequency components of the historical wind power output, and determining a rated power of the hybrid energy storage based on a probability distribution function; establishing a hybrid energy storage capacity optimization model for a full life cycle of a wind farm to minimize a net present value of an annual cost and maximize a target satisfaction rate of an output; extracting a daily typical scenario for the wind power output based on a clustering algorithm to count a time proportion of each typical scenario as an input scenario of the hybrid energy storage capacity optimization model for the full life cycle of the wind farm; and solving with a multi-objective optimization algorithm, to obtain an optimal hybrid energy storage capacity configuration scheme for t

Abstract: A management system for controlling a wind turbine according to prescribed rules and a safety system, separate from the management system, for monitoring the wind turbine on the basis of operational characteristic values, wherein the safety system transfers the wind turbine to a safe plant state independently of the management system if safety-critical operational characteristic values violate safety parameters stored in the safety system, in order to change at least one safety parameter stored in the safety system a parameter block comprising the at least one safety parameter and at least two safety features is supplied to the safety system and accepted by the safety system only after a positive check on the safety features, wherein the check on at least one of the safety features requires comparison against check information available directly on the wind turbine.

Abstract: An apparatus for detecting an endpoint of a grinding process includes a connecting device, a timer and a controller. The connecting device is connected to a sensor that periodically senses an interface of a reconstructed wafer comprising a plurality of dies of at least two types to generate a thickness signal comprising thicknesses from a surface of an insulating layer of the reconstructed wafer to the interface of the reconstructed wafer. The timer is configured to generate a clock signal having a plurality of pulses with a time interval. The controller is coupled to the sensor and the timer, and configured to filter the thickness signal according to the clock signal to output a thickness extremum among the thicknesses in the thickness signal within each time interval, wherein the thickness signal after the filtering is used to determine the endpoint of the grinding process being performed on the reconstructed wafer.

Abstract: An add-on renewable power plant (ARPP) may include a renewable energy source (RES) connected to a legacy renewable power plant (LRPP) interconnection infrastructure, where an output capacity of the RES is sized based on an LRPP transmission capacity and an LRPP power output profile, and an energy storage system (ESS) connected to the LRPP interconnection infrastructure, where a storage capacity of the ESS is sized based on the LRPP transmission capacity and the LRPP power output profile. The ARPP may also include a controller configured to control an ARPP output by controlling an RES output and an ESS charge/discharge such that a variability of an ARPP-LRPP combined power output has a lower variability than a variability of an LRPP output and control the ARPP output such that the ARPP-LRPP combined power output does not exceed a transmission capacity of the LRPP interconnection infrastructure.

Abstract: Embodiments of this present disclosure may include a system with a first power converter and a control system. The first power converter may supply a first current to a first backplane while a second power converter is concurrently supplying a second current to a second backplane. The first backplane and the second backplane may electrically couple to one or more load components and the control system. The control system may cause the first power converter to adjust the first current such that the first current and the second current are imbalanced with respect to each other in response to receiving a request to verify that the second power converter is capable of supplying the one or more load components with a target current value while the first current and the second current are imbalanced.

Abstract: A multiple-tool parameter set calibration and misregistration measurement method useful in the manufacture of semiconductor devices including using at least a first reference misregistration metrology tool using a first set of measurement parameters to measure misregistration between at least two layers on a wafer of a batch of wafers, thereby generating a first misregistration data set, transmitting the first set of parameters and the data set to a calibrated set of measurement parameters generator (CSMPG) which processes the first set of parameters and the data set thereby generating a calibrated set of measurement parameters which are transmitted from the CSMPG to calibrate at least one initially-uncalibrated misregistration metrology tool based on the calibrated set of measurement parameters.

Abstract: The disclosure provides a method and an apparatus for renewable-energy allocation based on reinforcement learning for an energy aggregator having an energy storage system (ESS) to coordinate renewable-energy allocation between energy suppliers and energy demanders. In the method, historical power-generation data of each supplier is collected and adapted to generate a renewable-energy index representing uncertainty of renewable energy. Multiple market indexes related to renewable-energy market dynamics are collected and integrated with the renewable-energy index and electricity information of the ESS to generate multiple states of a Markov decision process. The states are inputted to a reinforcement learning model to determine a price for the suppliers and the demanders. According to a supply amount and a demand amount proposed by the suppliers and the demanders in response to the price, the ESS coordinates the supply and demand of the renewable energy, and the reinforcement learning model is updated.

Abstract: A mobile assembly apparatus and a method of assembling a retail product utilizing a retail assembly are discussed. The mobile assembly apparatus may include a cabinet structure, an expandable work surface, a frame, wheels, an articulated arm, outrigger supports, a power supply, sensors, a hardware dispenser, and a computing device. The mobile assembly apparatus scans a machine readable identifier and retrieves assembly instructions for an item associated with the identifier. The computing device controls the outrigger supports and extendable surface based on the instructions. The computing device monitors the progress of the assembly of the time and validates the assembly based on assembly data from the sensors.