154 results about "Electric utility" patented technology

The present invention provides a system and method for an electricity utility or retail electric provider to incentivize a retail electricity customer to increase the amount of renewable energy they consume through an innovative pricing plan and digital application by letting customers understand how much renewable energy is on the electric grid at any point in time. They receive incentives for using more renewable energy and may also compete against each other or a benchmark customer to have the greenest energy consumption.

The invention discloses a transformer energy consumption monitoring system, and relates to the technical field of transformer energy consumption monitoring, and the system comprises an energy consumption sensor module which collects the current, voltage and temperature physical parameters of a transformer in real time; the data acquisition module is used for acquiring and transmitting the acquired data; the data processing module is used for analyzing and processing the collected data; the cloud monitoring module is used for displaying the operation data and the energy consumption state of the transformer in real time; and the intelligent optimization module automatically adjusts the operation parameters of the transformer according to the energy efficiency evaluation data provided by the cloud platform, and optimizes the energy consumption. The transformer energy consumption monitoring system provided by the invention has efficient data acquisition, processing and analysis capabilities, can reduce energy consumption and improve equipment efficiency through real-time monitoring and intelligent optimization, has powerful fault early warning and remote regulation and control functions, can help an electric power company to save energy and reduce equipment faults, and also has the functions of energy saving and remote control. And the stability and reliability of the power system can be improved.

The invention relates to the technical field of power system load prediction, in particular to a multi-modal Bayesian optimization short-term power load dynamic prediction method, which specifically comprises the following steps: collecting multi-source data, and preprocessing the data; decomposing a load trend module, a season module, a special event module and other component modules by using a Neuralprophet model; constructing a CNN-LSTM model, extracting meteorological-load spatial features, and modeling time sequence dependence; fusing multi-model prediction results based on a belief function theory BFT framework; and combining Bayesian optimization to dynamically adjust fusion weight and quality interval parameters, and minimizing a prediction error. According to the method, high-precision and high-robustness load prediction is realized by fusing deep spatial-temporal feature modeling, a probability decomposition framework and dynamic parameter optimization. The method is suitable for real-time scheduling and optimization management of a micro-grid, a power distribution network and an integrated energy system, and helps an electric power company to optimize resource configuration, reduce cost and improve power supply reliability.

The invention relates to the field of power dispatching systems, in particular to a user power consumption behavior prediction and intelligent dispatching system based on a deep learning model, which comprises a multi-source data acquisition and preprocessing module, a deep fusion prediction model and an intelligent dispatching optimization algorithm module, and integrates the modules or models into a unified system platform through a micro-service architecture. The system platform is in real-time butt joint with a power grid monitoring and dispatching center of an electric power company; and the intelligent scheduling optimization algorithm module establishes a multi-objective optimization model by taking load balance of the power system, maximization of power utilization satisfaction of users and minimization of energy consumption as comprehensive optimization objectives. The invention aims to provide a user power consumption behavior prediction and intelligent scheduling system based on a deep learning model, the user power consumption behavior is accurately predicted through innovative model construction and algorithm design, the optimized intelligent scheduling of power resources is realized on the basis, and the overall operation efficiency and the energy utilization efficiency of a power system are improved.

Techniques for smart electricity meter operation and management of open-switch events are described. In an example, a voltage value of a transformer-side of a service site is measured. Power consumption at the service site is measured. Based at least in part on the voltage value being non-zero and the power consumption being zero, it is determined that an open-switch event occurred. That is, because the utility company is supplying typical voltage to the electricity meter, and because the power consumption is zero, a breaker switch may have tripped. Accordingly, a customer of the service site is notified of the open-switch event.

The invention relates to the technical field of photovoltaic power prediction, and discloses a medium and long term photovoltaic power probabilistic prediction method and system based on data fusion, and the method comprises the steps: constructing a time sequence feature extraction module which is used for the feature extraction of a three-dimensional all-sky image, and extracting static space feature data from the three-dimensional all-sky image through a visual converter, static space feature data are processed through a self-adaptive bidirectional gating circulation unit module, and change characteristics of the static space feature data in the time dimension are captured; extracting space-time characteristics of the preprocessed meteorological data through a characteristic pyramid fusion module; meteorological data time sequence features, historical photovoltaic power data and three-dimensional all-sky image time sequence features are combined, and probabilistic prediction of photovoltaic power is achieved through an MQ-Informer module. According to the invention, high-precision photovoltaic power prediction can be realized, an electric power company is helped to better manage an electric power network and a power transmission line, and safe and stable operation of the system is ensured.

An energy management system providing logical control of the flow of energy between an electrical utility, Battery Energy Storage System and a load such as an electrical vehicle that is being recharged via direct current fast charging. Power is selectively delivered to the Battery Energy Storage System (i.e. charging) or from the Battery Energy Storage System (i.e. discharging), to a rapid DC charging station. The Battery Energy Storage System thus provides added capability to increase the overall output available from the utility, enabling charge rates that exceed the output capacity of the utility supply.

A utility vehicle having a power control system including a key switch with multiple positions corresponding to modes including a park mode, where a parking brake mechanism is engaged for stationary stability; an operation mode, enabling directional movement by disengaging the parking brake and activating the drive arrangement; and a tow mode, which disengages the parking brake and sets the drive arrangement to neutral, allowing for manual maneuvering of the vehicle in either a forward or reverse direction.

A power controller may monitor a power required by each of a plurality of power loads coupled to a power distribution bus. The power loads can include a plurality of devices for oil and gas exploration or production. The devices can include a plurality of drilling rigs or equipment associated with one or more of the drilling rigs. The power controller may monitor the power supplied by each of a plurality of power sources coupled to the power distribution bus. The power sources can include power from any two or more of the following: an electric utility, an electric grid, a natural gas turbine, a battery, a solar power generator, a wind generator, and a geothermal generator. The power controller may adjust the power supplied to a first one of the plurality of power loads based at least in part on a first one of the plurality of power loads.

To provide a charging method that can more reliably reduce the electricity costs associated with charging batteries. [Solution] The system obtains the usage schedule of the electric vehicle 2, the current remaining charge of the battery 8 for the electric vehicle 2, and predicted values ​​of the electricity rates per unit price for each time period in the future, supplied by a designated power company. Subsequently, based on the obtained usage schedule, the system calculates the required remaining charge, which is the battery charge needed for the next ride of the electric vehicle 2, and calculates the difference (required charge amount) between the calculated required remaining charge and the obtained current battery charge. Subsequently, based on the obtained usage schedule, required charge amount, and predicted electricity rates, a time period is set for charging the battery 8 to the required charge amount. Subsequently, the system charges the battery using electricity supplied by the power company during the set time period so that the battery 8 reaches the required remaining charge.

This application discloses a method for controlling an electric utility vehicle and an electric utility vehicle. The method includes: detecting a work load by the electric utility vehicle and establishing a communication connection between the electric utility vehicle and a mobile electronic device; the mobile electronic device receiving load information, prompting a user to change a work gear, or automatically matching an appropriate gear based on the load information in an automatic mode; the electric utility vehicle receiving a gear adjustment operation command sent by the mobile electronic device to adjust the work motor; and upon determining that the user has adjusted the gear of the electric utility vehicle by means of an operation assembly on the electric utility vehicle, an information transmission unit synchronizing the adjusted gear information to the mobile electronic device and providing feedback to the user.

In the context of an electrical utility system, changing cloud conditions may cause a customer having solar panels to greatly increase or decrease electrical demand in a difficult-to-predict manner. Accordingly, a spinning reserve maintained by an electric utility company must be larger, and is therefore more expensive. In an example, the spinning reserve may be managed by: calculating a stable sequence of forecasts of smoothed real-time consumption, wherein the calculating is based at least in part on smoothed estimates of consumption data. A stable sequence of forecasts of real-time measured load may be calculated by subtracting forecasts of real-time distributed solar photovoltaic (PV) generation data from the stable sequence of forecasts of smoothed real-time consumption. The spinning reserve of the electricity system may be controlled based at least in part on the stable sequence of forecasts of real-time measured load.

The disclosure includes methods, systems and apparatus for predictive management of efficient selecting and receiving of retail electric utility service to a facility for a period, by automated selecting of a retail utility service provider corresponding to a selected least cost path of predicted rate plan choices across the period, wherein costs of all possible, viable time-bounded predicted rate plan choices are determined for predicted consumer usage where a predicted market of retail rate formulas for the period are predicted in relation to at least one variable, such as weather.

We provide the system. [Solution] A means for collecting and processing disaster prediction data and geographical information, A means of evaluating disaster risk based on that data, A means for simulating the optimal placement of electric company vehicles based on disaster risk assessment, A means for instructing the movement of an electric company vehicle based on the simulation results, A means of sending electric company vehicles to base stations to supply power in the event of a disaster, A system that includes this.

The determination server configuring the vehicle battery charging planning system determines whether each battery electric vehicle can respond to a demand response request from the electric power company based on the vehicle information regarding the charge status of the vehicle battery of each battery electric vehicle and the user setting set by the user of each battery electric vehicle. The determination server extracts a plurality of target vehicles so as to exclude battery electric vehicle determined to be unable to respond to the demand response request, and transmits the plurality of target vehicles to the charging plan calculation server that configures the vehicle battery charging planning system. The charging plan calculation server formulates a charging plan targeting the plurality of extracted target vehicles, and transmits the charging plan to the charging command server.

In some embodiments, an electric vehicle (EV) comprises energy storage; a device to receive power to charge the energy storage and to send power from the energy storage to an electrical power grid, where the device includes an inverter to convert DC power from the energy storage to AC power to be sent into the electrical power grid; on-board communication hardware; and one or more processors to send and receive communications, using the communication hardware and according to interoperability requirements of the electric utility company, related to discharging power from the energy storage to the electrical power grid.

The present invention discloses a transformer device convenient for heat dissipation, including a transformer device body. A filter net body is inlaid on the right side of the transformer device body, and a fixing sleeve is arranged on the right side of the filter net body. By the combined use of the transformer device body, the filter net body, the fixing sleeve, the cleaning brush, the adjusting mechanism, the fixing mechanism, the positioning groove and the positioning block, the present invention solves the problem that in the existing transformer device, the filter net cannot be cleaned in time during the air intake process, which easily causes foreign matters to be adsorbed on the surface of the filter net, resulting in blockage, affecting the air intake effect, reducing the heat dissipation effect, causing the temperature inside the transformer device to rise, and if used for a long time, it will cause the transformer to burn out and be damaged inside, thereby indirectly increasing the economic loss of the power company. The transformer device convenient for heat dissipation has the advantage of being able to clean the foreign matters on the surface of the filter net in time and is worthy of promotion.

A sealing device comprises a sealing assembly which is movably connected with an electric metering box body and is used for carrying out triple sealing anti-theft on the electric metering box body, and an observation assembly used for observing the electric metering box body is arranged in the sealing assembly. The alarm device comprises an Internet of Things assembly which is arranged in the electric metering box body and is used for being electrically connected with the sealing assembly, and an alarm assembly used for giving an alarm is arranged in the electric metering box body. Therefore, when the door is pried, the box door and the body extrude to enable the micro optical fiber seal ring to be permanently disconnected, the trace cannot be hidden, and meanwhile, a signal is transmitted to the controller through the first flexible line and the second flexible line and is sent to an electric power company for positioning through the antenna; an alarm lamp is triggered through a flexible wire III, and a high-decibel alarm and a light warning are given out; and when the observation window is pried to exceed 0.8-1.2 mm, the brittle fracture line and the micro reed are permanently disconnected, so that whether the burglar alarm is stolen or not can be judged, and the signal transmission process and the alarm process are the same.

The article to which this design relates is a storage battery equipped with a battery, such as a lithium-ion battery, and a power conversion device, for storing electricity at night and supplying it during the day. The storage battery is normally connected to the power company's power grid, so it supplies electricity to household loads, and can supply power to household loads during a power outage. As shown in the reference perspective diagram showing the names of each part, the storage battery has, for example, a three-tiered stack structure, with a recess on the back of the middle tier, a hook recess on the side of the upper tier, and a wiring hole on the bottom of the back of the upper tier for pulling in wiring.

Systems and methods for managing power supplied over an electric power grid by an electric utility and / or other market participants to multiple power consuming devices, each of which having a Power Supply Value (PSV) associated with its energy consumption and / or reduction in consumption. Power flow to the power consuming devices is selectively enabled and disabled, or power-reduced thereto, by one or more controllable devices controlled by the client device. Power control messages from a controlling server indicate amounts of electric power to be reduced and an identification of at least one controllable device to be instructed to disable or reduce a flow of electric power to one or more associated power consuming devices.

A vegetation management system includes a computing system including a processor having an associated memory that is configured for implementing a vegetative modeler including an image analyzer and at least one 3-dimensional (3D) vegetation growth model. The vegetative modeler is for analyzing images of vegetation that is growing around electrical power lines of an electric utility including identifying locations of the vegetation relative to locations of the electrical power lines and to identify specific types of the vegetation. The 3D vegetation growth model utilizes at least the locations of the vegetation relative to the locations of the electrical power lines and the specific types of the vegetation to generate a predicted timing of encroachment of the electrical power lines by the vegetation to identify future encroachment areas. A scheduler is for scheduling vegetative maintenance of the vegetation for the future encroachment areas.

The unmanned aerial vehicle and unmanned vehicle full-autonomous linkage inspection system comprises an electric power company intranet platform, an unmanned aerial vehicle library inspection system and a third-party unmanned vehicle control platform, and the electric power company intranet platform issues an unmanned aerial vehicle inspection instruction to the unmanned aerial vehicle library inspection system; the unmanned aerial vehicle warehouse inspection system carries out control operation on the unmanned vehicle and the unmanned aerial vehicle through instructions of the third-party unmanned vehicle control platform and the electric power company intranet platform. The third-party unmanned vehicle control platform performs instruction scheduling on the unmanned vehicle to control the operation of the unmanned vehicle; according to the invention, cooperative operation of dynamic adjustment of the inspection position of the unmanned vehicle and autonomous inspection of the unmanned aerial vehicle is realized, environmental adaptability detection and task closed-loop management are completed through multi-platform information interaction, and the unmanned aerial vehicle inspection system is high in adaptability and high in reliability. And the automation level and the safety of power equipment inspection are effectively improved.

The invention discloses an intelligent operation and maintenance method and system for digital electric energy metering equipment based on an intelligent terminal APP. The method comprises the following steps: filing a digital electric energy metering device; acquiring and storing entered archive data of the digital electric energy metering device, report data determined based on operation and maintenance supervision work, task data and equipment operation data; querying the archive data, the report data, the task data and the equipment operation data according to a preset dimension to obtain a query result; and carrying out operation and maintenance on the digital electric energy metering device based on the query result. The method is oriented to the metering professional staff of the power grid company, supports the metering professional staff of the power grid company to quickly operate and maintain the digital electric energy meter, the merging unit, the electronic transformer and other metering devices of the transformer substation, and can provide an efficient operation and maintenance means for the metering staff of the power company.

Techniques for providing auxiliary power to a datacenter, which is normally serviced by a power utility, are disclosed. The system includes a controller, a first stamp, and a second stamp. A common DC bus couples the first stamp to the second stamp on a DC side. A common AC bus couples the first stamp to the second stamp on an AC side (e.g., the output of the stamps). An AC breaker is disposed on the AC bus between the first stamp and the second stamp. The controller controls whether the AC breaker is open or closed. A default state of the AC breaker is an open state. The control of the breakers can occur for various reasons, including whether the utility is available or whether the utility is not available. The utility might not be available due to a utility failure or due to other reasons.

A technique for providing auxiliary power to a data center typically served by an electric utility is disclosed. The system includes a controller, a first stamp, and a second stamp. A common DC bus couples the first stamp to the second stamp on the DC side. A common AC bus couples the first stamp to the second stamp on the AC side (e.g., the output of the stamp). An AC breaker is disposed on the AC bus between the first stamp and the second stamp. The controller controls whether the AC breaker is open or closed. The default state of the AC breaker is open. Control of the breaker can be for various reasons, including whether the utility is available or whether the utility is unavailable. The utility may be unavailable due to a utility failure or other reason.

This invention discloses a method, system, device, and storage medium for power grid resource clustering early warning in new power systems. The method includes: aggregation of multi-source, multi-modal power grid resource data; digital conversion to form a vectorized representation; cluster analysis; outlier detection based on the distance of cluster center changes; construction of a multi-dimensional fault space; multi-dimensional cluster space early warning analysis; processing of fault information with missing dimensions; and submission to users for comprehensive analysis. This invention fully leverages the value of data from new power systems, identifying, warning of, and timely handling of potential power grid resource hazards before faults occur, establishing a proactive early warning model for power grid resources based on prevention. Based on the digital space and multi-dimensional fault space of the power grid, it proposes a power grid resource clustering analysis early warning method, improving the timeliness and accuracy of power grid resource early warning analysis. It effectively assists power companies at all levels in making power grid emergency repair decisions, improving users' electricity experience, and has significant practical implications for improving the reliability of power grid supply.

The invention discloses an urban carbon emission oxygen consumption estimation system and an estimation method thereof, and belongs to the technical field of carbon emission, and the estimation system comprises S1, data acquisition: S11, an energy consumption data module obtains consumption data of various types of energy from an urban energy supply department, and transmits the consumption data to an urban electric power company through a data interface with the urban electric power company; acquiring electricity consumption of each region in each month in real time, and acquiring supply data of natural gas from a gas company; for energy sources such as coal and petroleum, the consumption of industrial coal, resident coal and various oil products in cities is counted; and S12, a population data module which cooperates with an urban statistical bureau to obtain population quantity, population structure and employment distribution information of the city and obtain population density data of each district and county. The actual conditions of urban carbon emission and oxygen consumption can be reflected more accurately by comprehensively considering the effects of human activities and ecological systems in cities and performing refined estimation by using multi-source data.

The invention discloses an electric power measurement asset credible application method based on a block chain technology, and the method comprises the following steps: 1) data collection: carrying out the data information collection of measurement asset verification generated in a production process; (2) data cleaning: carrying out data cleaning and sedimentation treatment strategies by virtue of AliCloud data collection and sharing through DataWords, and putting the data into an intranet RDS cloud platform database; 3) data penetration; 4) data encryption and evidence storage; 5) performing data uplink and multi-point consensus; the method has the following technical effects: (1) the data is safe and credible, the authenticity, accuracy and safety of the data provided for the outside are ensured, and a data foundation is laid for constructing a measurement quality credible application service; (2) public transparent services are provided, and the user's sense of acquisition and trust are enhanced; and (3) the supervision is efficient and collaborative, and the supervision collaborative capability between the electric power company and the production enterprise is improved.

A method for locating a fault in an electric utility system includes retrieving fault data, with a computing system and analyzing relay history to find a pattern of events and locations, with the computing system. The method further includes analyzing the fault data to determine an approximate location with the computing system and determining, with a short circuit and load flow module, a pre-fault load. The method further includes running a short circuit study at a plurality of locations until a location is found that corresponds to the fault data and determining that the location is where a fault occurred.

To provide a power supply system, a watt-hour meter, and an information processing device that can easily introduce a distributed power source such as a solar power generation system into an apartment building while maintaining an existing power receiving contract. [Solution] The power supply system is a power supply system for a condominium that includes multiple private and common areas that have individual low-voltage power receiving contracts with an electric power company, and is equipped with: a first electricity meter installed at the power draw point for the entire condominium and measures the amount of electricity purchased from the electric power company; an addition unit that adds up the amount of electricity measured by second electricity meters installed in each of the multiple private and common areas and managed by the electric power company; a measurement value calculation unit that calculates the amount of self-consumption electricity from distributed power sources in the condominium by subtracting the amount of purchased electricity from the added-up amount of electricity; and a settlement unit that settles the compensation for the amount of self-consumption electricity to the power generation company of the distributed power source based on the calculated amount of self-consumption electricity.