308 results about "Energy resources" patented technology

The invention discloses a source network load storage oriented regional collaborative scheduling method and system, and relates to the technical field related to power resource scheduling, and the method comprises the steps: traversing target region source network load storage to carry out real-time data collection, and constructing a source network load storage multi-dimensional data set to carry out multi-scale layered optimization; operation constraint conditions are set, limitation is carried out in combination with a power grid topological structure, a cooperative scheduling instruction set is determined, cooperative control feedback is carried out, and regional power scheduling feedback parameters are generated; and multi-channel dynamic correction is carried out, and a cooperative scheduling optimization strategy is generated to carry out energy balance cooperative scheduling on the source network load storage in the target area. The technical problems that in the prior art, intermittent fluctuation of new energy is difficult to consume, the collaboration of all links of source network load storage is poor, the dispatching flexibility of a power system is insufficient, and the resource configuration efficiency is low are solved. The technical effects of optimizing regional energy resource allocation and improving the clean energy consumption level, the power grid operation stability and the source grid load storage cooperative response capability are achieved.

The invention discloses a source-grid-load-storage multidirectional cooperation method and system in a new energy high-permeability power grid, and belongs to the technical field of source-grid-load-storage collaboration.The method comprises the steps that a historical data set and social economic data of a power system in a region are obtained, and a prediction model is constructed to obtain a load prediction result; acquiring solar radiation quantity, wind energy resource distribution data and historical meteorological data in the region to obtain a power supply prediction result; obtaining a load prediction correction value based on the power supply prediction result; constructing a power balance model based on the load prediction correction value and the power supply prediction result; solving the established power balance model based on a genetic algorithm, and determining an operation scheme; and evaluating the determined operation scheme, and if the operation scheme meets requirements, outputting the operation scheme for source-network-load-storage multidirectional collaboration. According to the method, the load change rule can be comprehensively captured, and the problem of inaccurate load prediction caused by single data in the prior art is effectively solved.

One aspect of the present disclosure relates to a distributed energy data platform process, and more particularly, to a distributed energy data platform process capable of increasing efficiency of energy resources and ensuring flexibility in management by configuring an AIoT process based on a distributed energy data platform. The distributed energy data platform process includes a data collection unit for collecting IoT sensor data of an IoT sensor installed in an energy-consuming device in real time; a database for loading the IoT sensor data collected in real time from the data collection unit; a visualization unit for interacting with the database so as to visualize the IoT sensor data to monitor the IoT sensor data in real time; and a training unit for configuring an artificial intelligence life cycle operation for the IoT sensor data.

A building energy system includes equipment configured to consume, store, or discharge one or more energy resources purchased from a utility supplier. At least one of the energy resources is subject to a demand charge. The system further includes a controller configured to determine an optimal allocation of the energy resources across the equipment over a demand charge period. The controller includes a stochastic optimizer configured to obtain representative loads and rates for the building or campus for each of a plurality of scenarios, generate a first objective function comprising a cost of purchasing the energy resources over a portion of the demand charge period, and perform a first optimization to determine a peak demand target for the optimal allocation of the energy resources. The peak demand target minimizes a risk attribute of the first objective function over the plurality of the scenarios.

The invention discloses a U-Net-based multi-mode wind energy resource monthly scale prediction correction method and system, belongs to the technical field of wind energy resource evaluation and climate numerical value prediction crossing, and is used for correcting monthly scale wind speed output by a climate mode. According to the method, a climate state wind speed field is constructed by utilizing ERA5 reanalysis, and a monthly-scale 10m wind speed anomaly is calculated to serve as a correction reference; monthly-scale historical return data of a plurality of dynamic climate modes are obtained, 10m wind speed and multilayer meteorological elements are extracted, unified interpolation and standardization are carried out, and a sample set is formed; a U-Net correction model with a coding and decoding structure is constructed based on a sample set, feature combination and hyper-parameters are optimized through cross validation, and nonlinear mapping from a multi-mode forecast field to an ERA5 distance flat field is learned. And correcting future monthly scale forecast by using the optimal model, generating a wind speed product of which space structure and amplitude distribution are closer to observation, and providing high-credibility wind energy climate information for wind power planning, power generation planning and power grid dispatching.

A method and system for testing an electrical device in an energy system are provided. The method includes: selecting a test suite to run against the electrical device based on a type of the electrical device; in response to determining that an output power of the electrical device is greater than a preselected minimum threshold: determining that the electrical device is energized, and running the test suite; in response to determining that the electrical device has passed the test suite: attaching the electrical device to a designated service point in a topology structure, marking a state of the electrical device to active, and activating the electrical device in the energy system; and in response to determining that the electrical device has not passed the test suite: attaching the electrical device to a limited node in the topology structure, and limiting the electrical device to function within a default control limit.

The invention relates to an optimal scheduling method for port system electricity-hydrogen energy resource allocation, and belongs to the field of resource optimal scheduling. The method comprises the following steps: establishing a mapping relation between a logistics operation organization mode and an energy resource demand, and forming a unified collaborative information model; based on the collaborative information model, a configuration decision evaluation model considering electrochemical energy storage and hydrogen energy resources is constructed and used for generating evaluation indexes corresponding to a resource configuration scheme under the condition that the resource configuration scheme and a logistics operation organization scheme are given; constructing a three-dimensional decision-making space taking the operation cost, the carbon emission and the average ship in-port time as dimensions, constructing an observation grid on a preset discrete value of a corresponding index, solving a boundary state point set point by point, and constructing an envelope surface of the three-dimensional decision-making space by using a three-dimensional convex hull algorithm; and screening a configuration scheme based on decision boundary characteristics of the three-dimensional decision space. According to the invention, the applicability of an electricity-hydrogen energy resource configuration result in a complex operation scene can be improved.

A method for testing an electrical device installed in an energy system includes: receiving an identifier and a test identification (testID) associated with the electrical device; validating the identifier and the testID; in response to determining that the electrical device is registered and communicating: setting and storing a polling rate and a posting rate of the electrical device, setting a first plurality of pre-conditions associated with a first test, and in response to determining that the first plurality of pre-conditions is met, performing the first test by: executing a first set of test commands associated with the first test, receiving responses to the first set of test commands of the electrical device, determining first test results based on the responses to the first set of test commands, storing the first test results, and determining whether the electrical device has passed the first test.

A microgrid controller of a microgrid includes a communication interface configured to receive load information corresponding to a plurality of loads connected to the microgrid, receive energy resource information corresponding to a plurality of energy resource systems connected to the microgrid, and output control signals for controlling an operation of each energy resource system; and one or more processors configured to perform at least two dispatch operations selected from a load balance dispatch operation, an export dispatch operation, or a charge / discharge dispatch operation according to a prioritization dispatch scheme. The load balance dispatch operation, the export dispatch operation, and the charge / discharge dispatch operation are assigned different dispatch priorities that define a sequence of dispatch operations of the prioritization dispatch scheme. The plurality of energy resource systems includes energy storage systems (ESSs), unidirectional non-ESSs, and bidirectional non-ESSs.

The invention relates to the technical field of material performance testing, and discloses a multi-parameter simulation salt spray environment test system and method, and the system comprises a multi-parameter cooperative control module, a bionic fog drop generation and salt spray adjustment module, an energy recovery and resource circulation module, a salt spray environment adaptive compensation module, and a test data intelligent analysis module. The modules are in closed-loop communication through an industrial Ethernet; the method comprises the steps of test preparation, model initialization, dynamic simulation and compensation, energy resource circulation and data processing ending, specifically, a salt mist concentration-temperature-humidity-wind speed coupling model is constructed, uniform salt mist is generated through bionic atomization and electrostatic adsorption, self-adaptive compensation is achieved in combination with partition sensing and corrosion current detection, and the salt mist concentration-temperature-humidity-wind speed coupling model is obtained. And heat is recovered, and condensate water and non-atomized saline water are recycled. The problems of multi-parameter coupling interference, resource waste and low data value in the prior art are solved, the simulation precision and the resource utilization rate are improved, and the method is suitable for multi-field material corrosion resistance testing.

The invention discloses a digital basin construction method and device in multi-resource exploration and development and a medium, and relates to the technical field of geologic model construction, and the method comprises the steps: carrying out the collection of regional surface images, and obtaining a regional surface image set; constructing an initial three-dimensional earth surface digital model; carrying out fracture identification on the initial three-dimensional earth surface digital model; obtaining a large-scale fracture model; carrying out distribution constraint mining analysis; and carrying out medium and small-scale fracture model construction to obtain medium and small scales, and obtaining a target digital basin. The technical problems that in the prior art, a large basin cannot be integrally constructed, the characterization accuracy of a large-medium-small multi-scale basic geologic model and an energy resource model is poor, and the comprehensiveness of underground geology and energy resource analysis is insufficient are solved, high-precision construction of the digital basin is achieved, and the construction efficiency is improved. And the characterization accuracy of the multi-scale basic geologic model and the energy resource model in the geologic model and the analysis comprehensiveness of underground geology and energy resources are improved.

The invention relates to the technical field of power systems and energy management, discloses an industrial and commercial energy storage system energy resource scheduling method and system, and aims to solve the problems that in the prior art, economy optimization and battery health management are separated, degradation model simplification causes life damage, and the adaptability to load and electricity price uncertainty is insufficient. Specifically, multi-source heterogeneous state data are fused; constructing and calibrating a battery digital twinborn model coupled with electrochemistry, a thermal field and an aging mechanism; and executing a three-layer cooperative strategy of long-term degradation track planning, medium-term random scheduling optimization and short-term model prediction control, enabling the battery degradation cost to be generated in an economic scheduling target, and achieving high-robustness real-time control through rolling optimization. The system comprises a data acquisition and fusion unit, a digital twinning module, a probability prediction module, a hierarchical scheduling engine and an instruction execution unit. According to the invention, the unification of full-life-cycle value maximization and operation reliability is realized.

The invention discloses a virtual power plant transaction method based on a traffic-energy fusion scene, and belongs to the technical field of virtual power plant transaction, and the method comprises the following steps: (1) traffic-energy data fusion collection and preprocessing; (2) carrying out hierarchical resource aggregation and state evaluation; (3) dynamic transaction demand prediction and matching; (4) block chain trusted execution and feedback optimization; and (5) battery full life cycle collaborative management. According to the invention, the efficient collaborative transaction of traffic and energy resources can be realized, the resource collaborative efficiency is greatly improved, the transaction response speed also meets the power grid demand, a trusted secure transaction system is constructed, the maximum utilization of the battery value is realized, and the economic benefit and the environmental benefit are remarkable.

The invention discloses an offshore high-power wind power plant rapid prediction system and method based on wind resource refined evaluation and field network integration. The system comprises a wind resource fine evaluation module used for comprehensively considering wind speed, wind direction, turbulence intensity, atmospheric stability and marine environment parameters to obtain spatial and temporal distribution of wind energy resources; the high-power wind turbine comprehensive modeling module is used for establishing a wind power plant unit power output model in combination with the power curve and a Jensen wake flow model; the neural network prediction module is used for realizing rapid prediction of future power; and the field network integrated rapid solution and grid connection module combines the predicted power with the power grid constraint condition, and outputs the adjusted power curve and power grid operation characteristics by adopting a rapid solution and optimization method. According to the method, the impact of wind power fluctuation on the power grid can be effectively reduced, the wind power grid-connected friend performance and the power grid stability are improved, rapid solving and dispatching optimization of the generating capacity of the high-power wind power plant in the deep and far sea are achieved, and the method has high engineering application value.

A power distribution system includes a macrogrid controller configured to control one or more first loads associated with a macrogrid, wherein the one or more first loads include a microgrid comprising one or more second loads and a plurality of energy resource systems; and a microgrid controller configured to receive one or more control signals from the macrogrid controller and control a power connection of the microgrid to the macrogrid based on the one or more control signals. The microgrid controller is configurable in a grid-connected mode, during which the microgrid is connected to the macrogrid, and a stand-alone mode, during which the microgrid is disconnected from the macrogrid, and wherein the microgrid controller is configured to operate in the grid-connected mode or in the stand-alone mode based on the one or more control signals.

A grid management platform is disclosed for predicting and mitigating peak electricity demand events using probabilistic modeling and cost-optimized control. The system includes a likelihood model that evaluates the probability of each remaining day within an evaluation interval being the peak load day. This is achieved through a Monte Carlo simulation engine that generates multiple stochastic realizations of future load trajectories based on historical data, forecast data, and forecast error profiles derived from back testing. The system computes likelihood scores and classifies days using optimized bin thresholds that minimize operational cost, considering demand charges, available distributed energy resources, and forecast uncertainty. Based on the predicted likelihoods, the platform generates actionable insights and transmits control signals to grid-connected assets such as batteries, HVAC systems, and electric vehicle chargers to shift or reduce load during predicted peak periods.

The present disclosure relates to a method for protecting an electrical power collection system comprising an electrical grid being electrically coupled to an electrical branch, the electrical branch comprising a plurality of switches for connecting or disconnecting the electrical branch at respective positions on the electrical branch, wherein a distributed energy resource is electrically coupled to a node on the electrical branch. The method includes detecting a fault occurrence on the electrical branch based on a monitored voltage and / or current of the electrical branch; limiting, based on the detecting a fault occurrence, a power flow from the electrical branch to the electrical grid; adjusting, based on the detecting a fault occurrence, a voltage and / or current on the electrical branch; determining a fault location based on the adjusted voltage and / or current on the electrical branch; and disconnecting a portion of the electrical collection system based on the determined fault location.

This technology is a process for controlling low voltage microgrids (MGs) with centralized communication, based on the “Power-Based Control” (PBC) technique adapting the same to a modified PBC (MPBC) process. The technology provides the following technical effects: 1) sharing of active power and reactive power proportionally to the capacity of distributed energy resources (DERs) of the MG; 2) power unbalance compensation at the point of common coupling (PCC or PAC in Portuguese); 3) the process can be implemented without knowing the parameters and topology of the power grid; 4) ability to handle the arbitrary connection of inverters in the MG; 5) it makes possible to distinguish between DERs connected to the MG in both types of connection: phase-phase and phase-neutral, wherein single-phase DERs connected arbitrarily between the phases share the amounts of balanced power, while the unbalanced and homopolar powers are steered only to the inverters connected between phase and neutral; 6) it allows the connection of the MG to multiple PCCs and also the operation in isolated mode (“islanded”). The technology is applied in the technical field of equipment and infrastructure for the development of MGs.

A system and method are provided for simulating the sizing and siting of energy generation facilities to supply electricity for a recommended industrial load. The method begins by accessing specific criteria for each land parcel in a portfolio and filtering out unviable parcels based on factors such as existing wind or solar installations, protected areas, or parcel size. An objective function is calculated to represent the overall cost of generating electricity to meet the load. The system executes multiple design simulations, generating random placements of energy facilities based on criteria like industrial load size and location, renewable energy resource availability, and transmission line proximity. For each simulation, the cost of construction and electricity delivery is calculated to identify the lowest possible cost. Using a probabilistic technique, the method approximates the global minimum cost and ranks each simulation by cost-efficiency, helping identify optimal land parcels for energy facility placement.

The utility model discloses wind power compensation device based on elastic energy storage technology, including support frame and first motor, first motor is installed on support frame, still include support casing, energy storage mechanism, power generation mechanism and intercommunication mechanism, support frame one side is provided with a plurality of support casing, energy storage mechanism sets up in support casing, is used to carry out energy storage to electric power, power generation mechanism sets up in a side of a plurality of support casing, is used to release the electric power after energy storage, intercommunication mechanism sets up between first motor and energy storage mechanism, is used to with the mechanical energy of first motor output is transported to energy storage mechanism, this wind power compensation device based on elastic energy storage technology is used to solve the problem that the wind energy resource is difficult to stabilize in prior art in the background art and influences the stability of electric power system.

The present invention relates to a thermally self-sustained system of continuous combustion and gasification (1), capable of converting different-sized solid waste, ranging from small particles to large volumes having a diameter even larger than 4 metres, into reusable energy resources. The system comprises a gasification multi-chamber (10) to simultaneously process more than one unit of waste (A), said multi-chamber integrally and consecutively comprising a drying and preheating antechamber (11) to reduce the moisture content of the unit of waste (A), a gasifying chamber (12) for gasifying the preheated unit of waste (A), and a cooling chamber (13) for cooling a gasified unit of waste (A). The chambers can be hermetically sealed by a set of airtight gates (161, 162, 163, 164) that operate in coordination with each other. The gasifying chamber (12) comprises, at the bottom of side walls, at least one section with gasifying agent insufflation openings, which can be axially coupled, inside the gasifying chamber (12), to distributing chambers (21) for distributing the gasifying agent, said distributing chambers being comprised in movable conveying grids (20) on a circuit of rails (50) to transfer the units of waste (A). The invention further comprises a derived gas combustion subsystem (30), which comprises a continuous combustion chamber (31), and an ejector component (32) which extracts the derived gas from the gasifying chamber (12) and injects it into said continuous combustion chamber (31) under controlled flow conditions.

A comprehensive energy system toughness improvement method considering road network traffic uncertainty belongs to the technical field of power system safety planning operation, and comprises the following steps: constructing a dual uncertainty model containing wind power output uncertainty, photovoltaic output uncertainty and traffic network traffic uncertainty; based on the dual uncertainty model, a two-stage robust optimization method is adopted, pre-disaster resource pre-deployment decision is carried out, and resources comprise fixed electricity-hydrogen-storage resources and mobile hydrogen energy resources; in the disaster occurrence process, on the basis of a pre-disaster resource pre-deployment decision result and system state information obtained in real time, a model prediction control MPC rolling optimization method is adopted, and scheduling and operation strategies of mobile hydrogen energy resources are dynamically adjusted. Through cooperative scheduling of fixed and mobile electricity-hydrogen-storage resources, optimal configuration of hydrogen energy resources before disasters and dynamic response of mobile hydrogen energy in disasters are realized, so that survival and recovery capabilities of the system in extreme weather events are remarkably enhanced.

The invention discloses a computing network energy resource scheduling processing method, a storage medium and electronic equipment. The method comprises the steps that scheduling factors corresponding to a plurality of computing power clusters are obtained, the scheduling factors comprise computing power factors, network factors, energy factors and service affinity factors, and the computing power factors, the network factors and the energy factors are obtained by conducting index scoring on computing network energy resources through a regional server; based on the business scene adjustment coefficients corresponding to the plurality of computing power clusters, determining scheduling factor weights corresponding to the plurality of computing power clusters; obtaining a cluster score of each computing power cluster based on the scheduling factor and the scheduling factor weight of each computing power cluster; and determining a target computing power cluster for executing the current service request from the plurality of computing power clusters according to the cluster scores. According to the invention, the technical problems of signaling overload and poor resource scheduling flexibility caused by a centralized management architecture in computing network energy resource scheduling in related technologies are solved.

A method and system for optimizing the scale of regional mutual aid channels considering system regulation capabilities are disclosed. The method includes the following steps: acquiring energy data for the regions to be interconnected in the planning year; performing a power balance calculation for the regions to be interconnected in the planning year to obtain the thermal power output and renewable energy curtailment situation; for each moment in the planning year, determining whether there is renewable energy curtailment on one side and reduced thermal power output on the other side in the regions to be interconnected at the same time; if so, obtaining the power transmission direction and transmission power at that moment; otherwise, the transmission power at that moment is zero; calculating the cumulative exchangeable electricity in the planning year based on the transmission power, constructing and solving a regional mutual aid channel scale calculation model to obtain the scale of the regional mutual aid channel. This invention can promote the scientific optimization of the scale of inter-regional mutual aid projects and improve the efficiency of cross-regional energy resource allocation.

This invention proposes a two-stage super-resolution reconstruction method and system for three-dimensional downscaled wind fields in bridge sites with complex terrain. First, the invention utilizes a WRF model and explicitly enables large eddy simulation to construct a high-fidelity training set. To build a spatially three-dimensional reconstruction result, the invention extracts dynamic meteorological sequences and static geographical features for different feature height layers. After filtering out invalid regions using a mountain occlusion mask matrix, three parallel cascaded reconstruction models are independently trained to significantly improve the real-time performance of data acquisition. The model training innovatively integrates terrain-forced physical loss and frequency domain energy constraints. Finally, the two-dimensional reconstruction results from each height layer are combined in vertical space to construct a high-precision three-dimensional microscale meteorological field ensemble, providing reliable technical support for three-dimensional wind energy resource assessment and bridge health monitoring in complex terrain.

An apparatus for controlling a home energy management system (HEMS) includes a communication device connected with the HEMS and a user terminal, storage storing power information of a home power device and a distributed energy resource connected with the HEMS and a rule-based algorithm and an optimization algorithm for controlling the HEMS, and a controller that generates a control strategy for the home power device and the distributed energy resource based on at least one of performance of the rule-based algorithm or the optimization algorithm, the power information of the home power device and the distributed energy resource, or a user setting input from the user terminal, or any combination thereof.

A system for separating electrical data from multiple distributed energy resource (DER) devices on a site. The system includes a multiport electric meter having a grid port configured for connecting the multiport electric meter to a power grid, and at least one DER circuit port configured for connecting the multiport electric meter to a circuit having two or more DER devices on it. The system also includes a data collector configured to collect data from multiple data channels, at least one of which includes an electrical data channel and at least one which includes a non-electric data channel, corresponding to one of the multiple DER circuit ports. The system further includes a processor configured to input the data collected from the multiple data channels into a classifier to classify the sampled electrical data into one or more classes, and to estimate the electricity usage and / or generated values ​​of one or more of the DER devices based on the classification output by the classifier.

Systems and methods to protect a transformer from overload are described. In an example, power consumption is sensed by operation of smart electricity meters at service sites supplied by the transformer. Advanced metering infrastructure (AMI) data from the smart meters is used to formulate a forecast of load levels (including overloading) of the transformer over time. A strategy and / or schedule is formulated to control the timing of operation of one or more devices at the service sites, based on the forecast. In an example, the at least one device is electric vehicle supply equipment, wherein electric vehicle charging is controlled in a manner that reduces transformer overloading magnitudes and durations.

The application discloses a kind of multi-source ocean energy site selection method and system, it is related to electric power energy field, it solves the problem that existing multi-source ocean energy site selection method exists poor site selection effect, including steps S1: real-time tidal energy index monitoring is carried out to the region to be addressed, the monitoring result is combined with tidal energy index historical data, and the tidal energy estimated power generation deviation corresponding to the region to be addressed is obtained by comprehensive analysis, tidal energy resource monitoring data are obtained, step S2: tidal resource development area screening is carried out to the region to be addressed according to tidal energy resource monitoring data, and wave energy index analysis is carried out to non-tidal resource development area, and regional energy analysis data are obtained according to the analysis result, step S3: according to regional energy analysis data, the site selection of each region to be addressed is carried out to marine energy resource development, the comprehensiveness and accuracy of the application can be improved multi-source ocean energy site selection method.

The disclosure concerns a method, system, and business model for integrating an electric vehicle into a power grid as a distributed energy resource, specifically through a demand response program. The method comprises several steps. In the first step, an electric mobility service provider (EMSP) is deployed to enable data exchange between the electric vehicle and a charging station connectable to the electric vehicle. Furthermore, the EMSP receives a charging and discharging plan defined by the electric vehicle, as well as data on the electric vehicle's state of charge (SOC). The EMSP retrieves energy supply and grid demand data from a balancing entity (BRP). Based on the electric vehicle's needs, the grid demand data, and / or the energy supply data, the EMSP creates an optimized charging and discharging plan for the electric vehicle.The EMSP unit transmits the optimized charging and discharging plan to the BRP unit for aggregation. The BRP unit provides the EMSP unit with constraints based on data about the grid capacity and / or energy supply and demand conditions. The EMSP unit then adapts the electric vehicle's charging and discharging plan to these constraints and distributes the adapted plan to the charging station, controlling the energy flow between the electric vehicle and the grid.