Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, a set of edge devices includes a set of artificial intelligence systems that are configured to process data handled by the edge devices and determine, based on the data, a mix of energy generation, storage, delivery and/or consumption characteristics for a set of systems that are in local communication with the edge devices and to output a data set that represents the constituent proportions of the mix. In some embodiments, the output data set indicates a fraction of energy generated by an energy grid and a fraction of energy generated by a set of distributed energy resources that operate independently of the energy grid. In some embodiments, the output data set indicates a fraction of energy generated by renewable energy resources and a fraction of energy generated by nonrenewable resources.

Abstract: The present system generally relates to a fluid flow system where a controller and motor pump assemblies are used to optimize the control of fluid flow through the system. The controller samples the back electromotive force of the motor and pump assemblies and is able to utilize the sampled back electromotive force in conjunction with predefined target back electromotive force values, preferably empirically determined and tuned to an induvial motor and for a select fluid, to tune the voltage applied to the system, control the back electromotive force of the system and, by extension, control the flow of fluid.

Abstract: A system of household appliances is configured to provide services according to user identity. The system includes a first appliance, a server or other network device, and a second appliance. The first appliance is configured to collect sensor data associated with an identity of a user. The server or other network device is configured to receive the sensor data from the first appliance and analyze the sensor data to determine the identity of the user. The second appliance is configured to provide a device function to the user based on the identity determined from the sensor data collected by the first appliance.

Abstract: Systems and methods for voltage stability monitoring and active/reactive power support are disclosed herein. In some embodiments, a smart electric meter of an end user in a grid power system can measure the voltage supplied to the end user via the grid power system, and can analyze the voltage data to detect critical voltage characteristics. The critical voltage characteristics may indicate that a voltage collapse event is likely. The smart electric meter can further estimate a voltage stability margin based on the voltage data. If necessary, the smart electric meter can control an electrical power source and/or an electric appliance positioned at or near the end user to increase the voltage stability margin.

Abstract: A method and apparatus for provisioning an alternative energy source generator operable with a gateway in communication with a web portal are provided herein. In one embodiment, the method includes entering system information into the gateway, and transmitting the system information to the web portal. The method also includes validating the system information, determining configuration information for the alternative energy source generator in response to validation of the system information, and transmitting the configuration information to the gateway. The method also includes initiating a discovery process to ascertain discovery information for the alternative energy source generator in response to the configuration information, and transmitting the discovery information to the web portal.

Abstract: A real-time temperature-pressure detection and rapid processing system for a calibration platform, comprises an inner return pipe, and a water supply pipe is provided therein with an inner water supply pipe. An outer wall of the inner water supply pipe is connected with an inner wall of the water supply pipe through multiple springs. An outer wall of the inner return pipe is connected with an inner wall of a return pipe through multiple springs. The return pipe and the water supply pipe are made of a thermosetting polymer material. The multiple springs, the inner water supply pipe, and the inner return pipe are covered with a heat conducting material. The system further includes a temperature-pressure detection assembly. The assembly includes multiple infrared sensors arranged at two sides of the return pipe and the water supply pipe, a booster pump, a heater, and infrared sensors connected with a control unit.

Abstract: The present disclosure provides a method, an Internet of Things (IoT) system, and a medium for presetting emergency devices of smart gas. The method comprises determining gas supply and demand features based on node data and downstream user features of a gas pipeline network. The method also comprises determining a plurality of gas emergency regions based on the gas supply and demand features, and continuously obtaining location data and carrying data of a plurality of emergency devices. The method further comprises determining a dynamic deployment scheme for the plurality of emergency devices based on the plurality of gas emergency regions, the location data, and the carrying data, the dynamic deployment scheme including locations of the plurality of emergency devices of at least one time point, generating a movement instruction based on the dynamic deployment scheme, and sending the movement instruction to the plurality of emergency devices.

Abstract: A system includes a renewable energy source (RES) that provides electrical energy and a first energy storage system (ESS) coupled to and configured to receive electrical energy from the RES, wherein the first ESS is configured to direct electrical energy to a source-sensitive destination. The system further includes a second ESS coupled to and configured to receive electrical energy from the RES and coupled to and configured to receive electrical energy from a non-renewable energy source to receive electrical energy, wherein the second ESS is configured to direct electrical energy to a non-source-sensitive destination.

Abstract: A dispatching method for an electric-hydrogen energy system considering flexible hydrogen demand includes establishing an electric load flexibility equation, a power purchase and sale constraint equation, a renewable energy output constraint equation, a hydrogen load flexibility equation, an electricity-to-hydrogen production safety operation constraint equation and an electric power balance constraint equation, establishing an electric-hydrogen energy system dispatching model with the lowest operating cost of the electric-hydrogen energy system within the dispatching cycle as an objective function, and solving the electric-hydrogen energy system dispatching model to obtain an optimal dispatching result. As compared with the prior art, the present invention can effectively solve the problem of coordination between electric and hydrogen energy flows, while taking into account the flexibility of electric and hydrogen loads, further providing additional flexibility to the operation of the system.

Abstract: Systems and methods for the control and operation of a grid-connected converter with an energy storage system are provided. The system can include a small microgrid comprising an AC grid that is feeding a DC load through a converter. The converter is connected to the AC grid through an R-L filter. The classical linear controllers have limitations due to their slow transient performance and low robustness against parameter variations and load disturbances. In certain embodiments, the transient and steady state responses of the provided artificial intelligence based Robust Artificial Neural Network Tracking Control (RANNTC) of three-phase grid-connected power converters has been shown to be more enhanced in terms of overshoot (24% lower), settling time (85% reduced), and total harmonic distortion (THD) (55% lower).

Abstract: The present disclosure relates to a fan system and a fan driving method. The fan system includes a first fan and a second fan, which are used to operate according to a first driving signal and a second driving signal, respectively, and to generate a first rotating speed signal and a second rotating speed signal. The first rotating signal has a first phase, and the second rotating signal has a second phase. The second fan is electrically connected to the first fan to receive the first rotating speed signal, and obtain a detected phase difference between the first phase and the second phase. The second fan is further configured to selectively increase or decrease the duty cycle of the second driving signal according to the detected phase difference, so that the second phase is adjusted to maintain a preset phase difference with the first phase.

Abstract: A system for estimating a real-time renewable energy generation quantity according to an embodiment of the present disclosure includes a site setting unit for setting a benchmarking group based on geographical locations of a plurality of renewable energy generation sites and setting a benchmarking site for each benchmarking group, a site generation quantity calculation unit for calculating a real-time generation quantity prediction value of each of sites except the benchmarking site among the sites included in the benchmarking group by using a preset prediction model based on a real-time generation quantity actual-measurement value of the corresponding benchmarking site, and a total generation quantity estimation unit for estimating a total real-time generation quantity of all the sites by summing the calculated real-time generation quantity prediction values for the respective sites and the real-time generation quantity actual-measurement value of the benchmarking site.

Abstract: Various embodiments relate to a thermal management system for an electronic device, such as an augmented reality or virtual reality device. The thermal management system can comprise an active cooling mechanism in various embodiments to dynamically or actively cool components of the device, for example, by adjust fan speeds of a fan assembly. In some embodiments, a hardware shutdown mechanism can be provided to shut down the device if software-based thermal management devices are inoperable. In some embodiments, the air flow into and/or within the electronic device can be adjusted to cool various components of the device.

Abstract: Methods for controlling an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility having a point of grid interconnect (POGI) limit are provided. A forecast for energy production of the RES as well as a state of charge (SOC) schedule are used to calculate a SOC target-based POGI cap that is less than the POGI limit, with the SOC target-based POGI cap representing as low a peak power output value as possible while still ensuring satisfaction of the SOC schedule. The forecasted RES production, SOC schedule, and SOC target-based POGI cap are used to generate a time-varying charge/discharge control signal for the ESS that ensures the SOC schedule is satisfied.

Abstract: A method may include obtaining, in real-time, well data regarding a wellbore and drilling fluid data regarding drilling fluid circulating in the wellbore. The method may further include determining, based on the drilling fluid data, a plastic viscosity (PV) value and a yield point (YP) value regarding the drilling fluid. The method may further include determining, based on the well data and the drilling fluid data, an equivalent circulating density (ECD) value of an annulus of the wellbore. The method may further include determining a hole cleaning efficiency (HCE) value based on a hole cleaning model, the PV value, the YP value, and the ECD value. The method may further include determining an adjusted rate of penetration (ROP) value for a drilling operation in the wellbore based on the HCE value and a current ROP value. The method may further include transmitting a command to a drilling system that produces the adjusted ROP value in the drilling operation.

Abstract: An energy storage system includes an energy storage device that stores energy generated from a new and renewable energy power plant, a power management device that monitors a total amount of power produced by at least one new and renewable energy power plant in a plurality of regions, determines an operation mode of the energy storage device based on a result of monitoring a reference capacity of an integrated line through which power of the plurality of regions is transmitted and a result of monitoring the total power amount, and controls a power capacity flowing through the integrated line according to the operation mode, and a power conversion device that receives a command corresponding to the operation mode from the power management device and controls an operation of the energy storage device according to the command.

Abstract: A multi-layer architecture for control of distributed energy resources (DER) includes a forecasting and optimization system and one or more site-level controllers. The forecasting and optimization system generates predictions of optimal set points and communicate the optimal set points to a site-level controller. The site-level controller includes stored instructions that, when executed, direct the site-level controller to perform a boundary check and a real-time static economic dispatch, which can include steps of receiving optimal set points from the forecasting and optimization system; comparing received optimal set points with local conditions; outputting dispatch commands for DER control according to the optimal set points when the optimal set points are within appropriate limits with respect to the local conditions; and when the optimal set points exceed the appropriate limits, generating adjusted dispatch commands and outputting the adjusted dispatch commands for the DER control.

Abstract: An IoT gateway at a client site uses sensing functions and actuating functions to safely implement actions for equipment. The client provides, to the IoT service, specifications for a sensing function and one or more actuating functions that are to communicate with the sensing function. The functions are deployed to the IoT gateway at the client site. The sensing function may be assigned read only access to the equipment and the actuating function may be assigned write only access to the equipment. The sensing function may collect data from the equipment and determine that a condition has been met (e.g., temperature is above an upper limit). In response, the sensing function provides an indication of an action to the actuating function (e.g., via a unique topic). If the action is a supported action, then the actuating function causes the equipment to perform the action; otherwise, it ignores the indicated action.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains asset data for an electric power distribution system in a geographic area. The asset data includes: for each of a plurality of electrical assets of the electrical power distribution system, data indicating one or more characteristics of the electrical asset. The system further obtains sensor data for the electric power distribution system. The sensor data includes measurement data from a plurality of electric sensors. The system generates, by processing the asset data and the sensor data, partition data that includes, for each of the plurality of electrical assets, an assignment that assigns the electrical asset to one of a set of feeder networks.

Abstract: This disclosure describes techniques that include managing flows of energy within a system that includes a data center and using at least some of the energy flows to provide power to the data center. In some examples, this disclosure describes a system comprising a power generation system, a battery storage system having a state of charge attribute, and processing circuitry having access to an electrical power grid, the power generation system, and the battery storage system. In one example, the processing circuitry is configured to: determine an energy utilization forecast for a data center; monitor energy availability factors; and determine, based on the energy utilization forecast and the monitored energy availability factors, an energy flow configuration defining energy flows involving with the electrical power grid, the power generation system, the battery storage system, and the data center.