104 results about "Electric utility" patented technology

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.

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.

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.

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.

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 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.

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.

A multi-source data fusion lightning stroke monitoring device with a power frequency flashover positioning system comprises a shell, one side of the shell is provided with an installation protruding block, the shell is internally provided with a cavity used for installing an acquisition unit and a host with the power frequency flashover positioning system, an opening of the cavity is provided with a sealing plate, and the sealing plate is provided with a power frequency flashover positioning system. A data interaction panel is arranged on the sealing plate; the mounting device is used for mounting and fixing the shell; the self-adaptive protection adjustment module comprises a micro-control unit used for intelligent self-diagnosis data acquisition and a remote communication unit; the intelligent analysis module comprises a high-performance processing unit, the input end of the high-performance processing unit is connected with the output end of the acquisition unit so as to analyze data collected by the acquisition unit in real time, and maintenance personnel can check data and fault points conveniently through a visual screen, an indicator light and a buzzer. The protection structure can absorb shock and fix the clamp. The design of the mounting device realizes quick disassembly and assembly. The solar panel prolongs the service time and saves energy. The sealing design ensures the sealing performance of the shell. The self-adaptive protection adjustment module and the intelligent analysis module can check the equipment state in real time, modify debugging faults and estimate lightning stroke risks, and data support is provided for electric power companies.

The invention provides a demand side response management and control method and system for minimizing a peak-to-average power ratio, and the method comprises the steps: dividing time periods, clustering user subdivision consumption blocks, and setting an incremental electricity price and energy consumption breakpoint, and converting a double-layer optimization problem of a power supply company and a user side into a problem that a nonlinear term is relaxed into a mixed integer linear programming problem; and the optimal solution of the intra-day scheduling scheme is solved by using a standard optimization tool, so that the functions of optimizing the resource configuration of the power system and balancing the power supply and demand are realized. According to the method, different electricity prices are set based on demand distribution of multiple time periods in the day, a more stable interval block electricity price scheme is formed, loads can be effectively prevented from being concentrated in a certain time period, the peak-valley difference of the system is reduced, balanced distribution of demands is facilitated, and power grid load fluctuation is relieved. According to the method, the demand response of the electric power system consumer is promoted, the income of an electric power company is guaranteed under the condition that the burden of the consumer is not increased, and higher economic benefits and better sustainability are brought to power grid operation.

A heating, ventilation, and air conditioning system for adjusting the indoor temperature of a structure connected to an electric utility grid includes: an energy storage system; an inverter heat pump including a variable speed compressor controlled by an inverter to operate over a range of 0% to 100% of a maximum compressor speed, the inverter heat pump being electrically connected to the energy storage system and the electric utility grid; and a home energy management system (HEMS) including a controller operatively connected to the inverter heat pump, the controller being programmed to receive inputs comprising at least one of an indoor temperature measurement, a user-determined temperature setpoint, an indoor humidity measurement, or a user-determined humidity setpoint and set a compressor speed of the inverter heat pump in response to the inputs, the HEMS controlling whether the variable speed compressor is powered by electric utility grid or the energy storage system.

The invention discloses a biased risk assessment method and system for a multi-modal large model. The method comprises the following steps: constructing a biased word library and a biased image library; comparing an actual output text of the electric power company in the customer service communication process with the reference vector in the prejudice word bank, generating a prejudice risk value of the actual output text, and identifying a prejudice text; calculating the similarity between the actual output image and the image engraving impression of the image template, and identifying a prejudice image; calculating a cross-modal sensitivity score of the actual output text and the actual output image, and identifying hidden prejudice; calculating an abnormal layer of an image-text offset value recognition model based on attention weights output by the multi-modal large model for the text and the image, and determining a hidden prejudice source; and calculating a comprehensive prejudice risk score, and dividing a plurality of image-text prejudice risk grades. The prejudice risk assessment improves the interpretable analysis capability of hidden prejudice in a complex interaction scene, so that the potential prejudice risk in an electric power customer service language and a recommended image is monitored in real time.

Power consumption forecasting plays a key role in the efficient operation of a building energy management system to assess energy demands of building, and at the same time, help electrical utilities in planning their supply operations. However, no state-of-the-arts are available for forecasting medium-term or long-term power consumption of the buildings. This disclosure relates to a method and system for forecasting a power consumption of buildings for a scalable forecast horizon. The system is configured to pre-process to deal with outliers / missing values, followed by synchronization of smart meter data with other sensory data. An energy-temperature correlation is calculated to estimate an energy drift using historical power consumptions. Further, in feature derivation stage, additional features necessary for the forecast are derived. The system is to be employed for modeling the building load consumption that depends on the time horizon of forecasting and the granularity of the data.

This server for monitoring electricity consumption of a building comprises: an electricity consumption measurement unit which measures primary power consumption data corresponding to the total electricity consumption of the building at preset time intervals from an electric meter connected to a KEPCO meter, and measures secondary power consumption data corresponding to the electricity consumption of each room of the building at preset time intervals from a multi-channel electric meter connected to a switchboard of the building or a plurality of intelligent electric meters connected to a plurality of distribution boards of the building; a determination unit which presets a peak power value for the building and determines whether the primary power consumption data exceeds the preset peak power value; a notification unit which provides a notification service to a user of the building when the primary power consumption data exceeds the preset peak power value; and a cost calculation unit which calculates billable power and cost for each room on the basis of the primary power consumption data and the secondary power consumption data.

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.

Solar+Storage Electric Vehicles (EV) Charging Carport (SSEVCC) is a prefabricated, ship-to-site, fully integrated, solar electric generator roof, energy storage system, power management system, EV charger carport designed to generate renewable electricity, store electricity, provide electricity for onsite EV charging, receive and provide electricity to / from Virtual Power Plants (VPP), Microgrids, and electric utility grids. The SSEVCC is designed to be a turnkey, with little additional onsite infrastructure required, deployment and rapid installation, solar plus energy storage EV charging carport for fleet parking and dispatch lots.

The application provides an interactive method and system for power marketing, the method comprising: collecting power consumption data of users through an Internet of Things device and preprocessing the data; constructing a power consumption behavior prediction model according to the preprocessed data to predict the future power demand of the users and respond to sudden changes; constructing a dynamic power pricing model according to the prediction results, adjusting the power pricing according to the actual demand of the users and the change of power grid load; monitoring the market condition in real time, combining the trained power consumption behavior prediction model and the dynamic power pricing model to timely find potential abnormalities; and recommending the optimal power package for each user through an optimization algorithm and making real-time adjustments. The application not only improves the accuracy and effect of power company marketing, but also enhances the interactivity and energy-saving awareness of users through a social mechanism, and promotes the transformation of the power industry to intelligence, individualization and socialization.

A determination server constituting a charging planning system for a vehicle battery determines whether or not each battery electric vehicle can respond to a demand response request from an electric power company on the basis of vehicle information relating to the state of charge of the vehicle battery for each battery electric vehicle and user settings set by a user of each battery electric vehicle. A determination server extracts a plurality of target vehicles to exclude a battery electric vehicle determined to be unable to respond to a demand response request, and transmits the same to a charging plan calculation server constituting a charging plan system for a vehicle battery. A charging plan calculation server formulates a charging plan for the plurality of extracted target vehicles, and transmits the charging plan to a charging command server.

A vehicle battery charger and a vehicle battery charging system are described and illustrated, and can include a controller enabling a user to enter a time of day at which the vehicle battery charger or system begins and / or ends charging of the vehicle battery. The vehicle battery charger can be separate from the vehicle, can be at least partially integrated into the vehicle, can include a transmitter and / or a receiver capable of communication with a controller that is remote from the vehicle and vehicle charger, and can be controlled by a user or another party (e.g., a power utility) to control battery charging based upon a time of day, cost of power, or other factors.

Backup electric power with a batter(ies) storing electrical energy (kilowatt hours—KWH) and a DC-to-AC inverter converting the stored electrical energy from the battery into electrical AC power (kilowatts—KW) may be provided for emergency power used when power from the electric utility fails. Condominium units and apartments in high rise buildings can benefit from having DC-to-AC inverter battery systems installed in each unit. Spare capacity power from existing emergency backup generators may be utilized to charge the battery of the inverter battery system of each condominium / apartment unit. The DC-to-AC inverter battery system may be used to reduce ampacity requirements of the electric utility power distribution system and electric service entrance equipment coupled to the utility electric meter per occupancy. Cold fusion-low energy nuclear reaction (LENR) power generation, may be used in place of or partial substitution of power from the electric utility.