15 results about "Grid application" patented technology

In an approach to a state of health for grid applications, a system includes one or more battery energy storage systems having a plurality of batteries; energy sources; power distribution systems; and computing devices. The computing devices are configured to: for each of the battery energy storage systems: receive battery parameters for each of the batteries from the battery energy storage systems; determine a lithium plating state, a solid electrolyte interface (SEI) thickness, and a dendrite length for each of the plurality of batteries; determine a battery state of health (SOH) for each of the batteries based on at least one of the lithium plating state, the SEI thickness, and the dendrite length; determine a battery charge profile to mitigate aging for each of batteries based on the SOH; and send updated battery parameters and control thresholds for each of batteries to each of the battery energy storage systems.

Methods and systems for estimating remaining time to end-of-life of a rechargeable battery used in vehicle or grid application. A degradation filter is used to construct estimated battery capacity values from a series of battery capacity measurements. An inverted degradation model calculates a first time to end-of-life using parameters determined by the degradation filter. A cubic-end-point model calculates a second time to end-of-life using a set of coefficients derived from the series of battery capacity measurements. A decision logic identifies one the first time to end-of-life or the second time to end-of-life as reliable.

In various embodiments, a grid-based design application automatically generates a design for a structural system of a building. In operation, the grid-based design application generates a structural grid based on a region within a computer-aided design of the building. Subsequently, the grid-based design application applies the structural grid to the region to generate a gridded region. The grid-based design application computes a set of spanning directions based on the gridded region. The grid-based design application then generates at least a portion of the design for the structural system based on the set of spanning directions and the gridded region.

The invention discloses a distributed micro-grid adaptive adjustment system based on model prediction, which belongs to the field of grid power adjustment and comprises a central controller, a grid-connected inverter, a photovoltaic boosting device and a fan rectifying device. The central controller comprises an EtherCAT master station, a signal collector, a model prediction module and a data preprocessing and monitoring module which are connected with one another; the central controller comprises a fitting regression prediction model, acquires voltage and frequency fluctuation signals of the distributed micro-grid, and generates each PWM pulse modulation signal by applying the fitting regression prediction model according to the voltage and frequency fluctuation signals of the distributed micro-grid; the control module is used for receiving the control signals and transmitting the control signals to the grid-connected inverters; and adaptive adjustment is carried out on the micro-grid.

In various embodiments, a grid-based design application automatically generates a design for a structural system of a building. In operation, the grid-based design application generates a structural grid based on a region within a computer-aided design of the building. Subsequently, the grid-based design application applies the structural grid to the region to generate a gridded region. The grid-based design application computes a set of spanning directions based on the gridded region. The grid-based design application then generates at least a portion of the design for the structural system based on the set of spanning directions and the gridded region.

The invention discloses a CLCC auxiliary branch capacity design and parameter optimization method taking a power grid application demand as a target, and the method comprises the steps: firstly building a capacity matching model of a main branch and an auxiliary branch based on the operation characteristics of a DC power transmission system, and reducing the overall loss of a converter valve through optimizing the switching time of the main branch and the auxiliary branch of the converter valve, and the reliability of the commutation process is improved. And then, introducing a loss calculation and economy evaluation model, carrying out quantitative analysis on the overall benefit of the CLCC, and carrying out system verification in combination with electromagnetic simulation to ensure that the optimized converter valve can effectively prevent commutation failures under various fault conditions. According to the invention, by analyzing different functions of the main branch and the auxiliary branch and the influence of the main branch and the auxiliary branch on the commutation process, an optimal design scheme based on system demand guidance is provided, so that the economical efficiency and engineering applicability of the CLCC converter valve are improved.

The present invention discloses a grid voltage control method, device, equipment and medium including distributed photovoltaic. The method includes: obtaining current node data of multiple grid-connected nodes in a distribution network; in the grid dispatching layer, configuring and optimizing the reactive power capacity of multiple grid-connected nodes according to the current node data and a preset voltage sensitivity matrix to obtain the photovoltaic capacity of each grid-connected node; in the grid application layer, predicting the power adjustment amount of each grid-connected node at a future target time according to the photovoltaic capacity and a preset grid state space equation; sending a voltage control instruction carrying the power adjustment amount to a grid-connected inverter, and the grid-connected inverter is used to execute the voltage control instruction to adjust the grid voltage. The present invention solves the problem of reactive power margin differentiation between nodes by controlling the reactive power adjustment margin of each grid-connected node, and further considers the individual differences of distributed photovoltaics in a hierarchical control manner to improve the voltage control effect.

The application relates to an automatic recursive partitioning method and device for a non-structure grid field special language, and the method proposes an automatic recursive partitioning and data conflict resolution software architecture scheme for a shared memory multi-core CPU platform in a non-structure grid field special language and a converter framework, a grid topology and an indirect access mode are uniformly described at a DSL level, a task dependency structure for conflict resolution is automatically constructed, and a global renumbering and data rearrangement mechanism is combined, so that the parallel efficiency, data locality and performance portability of the non-structure grid application on the multi-core CPU platform are improved under the premise of ensuring numerical correctness, and the application development and maintenance cost is reduced.

The invention provides an inevitable quality of service constraint (CQR) guarantee method based on copy placement in a data grid system. According to the method, aiming at application scenes such as stock markets and large-scale joint operation with extremely strict QoS requirements in a data grid system, a CQR replica placement algorithm based on matrix operation is provided by constructing a replica placement model and formally describing the CQR, and a replica strategy test and verification platform is designed and developed, so that the CQR replica placement algorithm based on the matrix operation is provided; according to the method, the QoS of each user request can be satisfied by 100%, the QoS satisfaction rate is improved, the delay of the data request is reduced, the robustness and reliability of the system are enhanced, and the method has wide applicability.

The invention provides a micro-grid scene-oriented energy storage configuration optimization method and system, and the method comprises the steps: dividing micro-grid application scene types according to load characteristics and operation targets; constructing a comprehensive performance evaluation model of the energy storage system, and taking an energy storage configuration value effectiveness index as an optimization target; based on the energy storage configuration value efficiency index, performing iterative optimization on configuration parameters of the energy storage system until the configuration parameters meet a preset threshold condition; and outputting an energy storage configuration scheme. According to the method, technical factors such as battery characteristics, an energy conversion device, operation maintenance, system life, battery attenuation and replacement are considered in modeling; multiple technical benefits of peak load shifting, renewable energy consumption, power grid capacity expansion delay, power supply reliability improvement, market interaction, carbon emission reduction and the like are covered in the aspect of performance analysis; in the aspect of application scenarios, multiple types of micro-grids are included, systematic configuration optimization of micro-grid energy storage in different scenarios is achieved, and the reliability and adaptability of energy storage technology application are improved.

The invention discloses a service grid application deployment system, method and device. The system comprises an interface control unit, a configuration center, a Webhook script modification interface and a Webhook script verification interface, wherein the interface control unit, the configuration center and the Webhook script modification interface are deployed in a distributed cloud platform cluster, and the Webhook script verification interface is centrally deployed outside the cloud platform cluster. An interface control unit calls a Webhook script modification interface to add side vehicle container information to an original application deployment script according to a side vehicle injection label in the original application deployment script carried by an application deployment request sent by a client, and calls a Webhook script verification interface to perform script verification; and sending the modified application deployment script or the original application deployment script added with the sidecar container information to the configuration center according to the verification result, so that the configuration center creates and operates the grid application instance, thereby realizing verification of the sidecar injection legality in the deployment script of the service grid application, and improving the operation security of the cloud platform cluster.

The application discloses a CAD model through-hole feature recognition and processing method based on a graph neural network, comprising the following steps: constructing a surface adjacency graph according to the B-Rep representation of a CAD model; extracting differential geometric information and attribute information of each surface to construct a node initial feature vector; classifying each surface by using a graph neural network to determine a through-hole surface recognition result; performing triangular subdivision on the CAD model, deleting all grids located on the through-hole surface, applying a hole filling algorithm to repair the grid gap, determining a final grid model with the through-hole feature removed, or associating the surface label with a grid generation algorithm to guide grid generation and determine the finally generated anisotropic grid. The application comprehensively improves the recognition accuracy, processing efficiency and output quality while maintaining the lightweight of the model, and provides reliable technical support for the CAD / CAE integrated process.

The application relates to a power grid application layer instruction level detection method fusing control service logic. For power grid application layer instruction level detection, a rule matching-based method is used to detect abnormal messages and attack messages; abnormal message rules are designed according to protocol specifications, and a mature snort network attack rule library is used as an attack message feature library; for the discrete characteristics of service feature values, an abnormal detection technology based on clustering learning is proposed to realize abnormal identification of service instruction frequencies and service feature codes.

The application discloses a kind of CLCC auxiliary branch capacity design and parameter optimization method with power grid application demand as target, first based on the operating characteristics of direct current transmission system, the capacity matching model of main auxiliary branch is established, and the overall loss of converter valve is reduced by optimizing the switching time of main auxiliary branch of converter valve, improve the reliability of commutation process.Subsequently, introduce loss calculation and economy evaluation model, the overall benefit of CLCC is quantitatively analyzed, and combined with electromagnetic simulation, system verification is carried out, to ensure that the optimized converter valve can effectively prevent commutation failure under various fault conditions.The application analyzes the different functions of main branch and auxiliary branch and their influence on commutation process, and proposes an optimization design scheme based on system demand orientation to improve the economy and engineering applicability of CLCC converter valve.

Frames for texturing a 3D mesh may be selected to minimize the number of frames required to completely texture the mesh, thus reducing the overhead of texturing. Keyframes are selected from a video stream on the basis of amount of overlap from previously selected keyframes, with the amount of overlap held below a predetermined threshold. The 3D mesh may also be refined and corrected to ensure a higher quality mesh application, including color correction of the selected keyframes. Other embodiments are described.