231 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 belongs to the technical field of power system data analysis, and relates to a power utilization habit-based power utilization abnormal behavior real-time analysis method and system, and the method comprises the steps: obtaining a historical power utilization data sample of a charging pile user, and carrying out the calculation to obtain a power utilization behavior habit interval; acquiring real-time power consumption data of the charging pile user according to a preset period, judging whether the real-time power consumption data is in the power consumption behavior habit interval, and if so, not giving an alarm; otherwise, giving an alarm; the advantages of wide coverage, high timeliness and high accuracy of power data are utilized, and the power utilization habit of the user is obtained through data analysis. Real-time power utilization data and historical power utilization habits are compared, abnormal power utilization behaviors are recognized, abnormal power utilization alarms are given out, and a charging pile operator is assisted in effective management, prevention and control; maintenance and upgrade plans of the charging piles are reasonably arranged, and usability of the charging piles is ensured. An electric power company can adjust an electric power supply strategy in advance, optimizes a power grid load, and avoids overlarge power grid pressure caused by a charging peak.

The invention discloses an online power load prediction method, system and device and a medium, and relates to the field of power load prediction.The online power load prediction method comprises the steps that historical power load data are acquired to construct a database, and the historical power load data are preprocessed; constructing a power load prediction model, taking the preprocessed historical power load data as the input of the power load prediction model, and performing power load prediction through the power load prediction model; establishing a dynamic combination module to generate a combination weight, and distributing the combination weight to the output of the power load prediction model to obtain a power load prediction result; and establishing a conditional random field model to capture influence factors of event driving on the power load prediction result, and correcting the power load prediction result based on the influence factors. According to the invention, the precision of load prediction is improved, and support is provided for an electric power company to make a power generation plan and realize power grid supply and demand balance.

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 discloses a static forest fire risk assessment method and system based on multi-source data and a remote sensing technology. The method comprises the following steps: establishing an index system of a target area and carrying out data acquisition; the collected data are preprocessed; calculating influence factors and index weights by using the preprocessed data, determining spatial and temporal distribution of calculation results of different influence factors, and calculating a comprehensive factor result by using each single influence factor according to a set weight; and evaluating the forest fire risk based on the obtained comprehensive factor result, and realizing dynamic monitoring of the forest fire risk value. According to the method, the accuracy and the real-time performance of forest fire space-time risk prediction are improved; and theoretical support is provided for follow-up forest fire risk prevention and control of electric power companies.

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 provides a power marketing data analysis method and system, and the method comprises the steps: collecting the consumption data of power consumers, and constructing a power consumer behavior analysis model to analyze the consumption data; according to an output result of the consumer behavior prediction model, making an optimal pricing strategy to realize maximized sales benefits; performing real-time effect evaluation on each marketing activity, and dynamically adjusting a pricing strategy according to evaluation; by combining the marketing effect and the existing pricing strategy, a dynamic optimization strategy is designed, and the pricing and marketing strategies can be timely adjusted according to the market change, so that the overall benefit is maximized; and according to the consumption data of each consumer, in combination with the pricing strategy after the dynamic optimization strategy is executed, personalized recommendation is realized to respond to market changes and user behaviors. According to the method, the competitiveness of the electric power company is improved by optimizing the marketing strategy, and finally the user experience and the electric power marketing effect are improved.

The invention relates to an electric power open platform system based on digitization capability. The system comprises an achievement acquisition layer, a local service layer and a two-stage sharing layer. The achievement collection layer is responsible for collecting and integrating digital achievements of a data medium station, a technology medium station, a business medium station, an Internet of Things platform, a cloud platform and a business system of the electric power company; the local service layer manages the data and capability obtained from the achievement acquisition layer in a centralized manner, and provides customized services for the requirements of local electric power companies; a Spring Boot micro-service framework is used to realize decoupling and independent deployment of services, and Kubernetes is used to carry out container arrangement, management service expansion, load balancing and automatic recovery; the two-level sharing layer realizes sharing of achievements between a local electric power formula and a head office. According to the invention, the security can be guaranteed, the performance can be improved, and a flexible and extensible service and achievement sharing mechanism can be provided at the same time.

The invention discloses an electric power remote cost control decision-making method and system, particularly relates to the technical field of intelligent power grids, and is used for solving the problem that electric power remote cost control management is not clear. According to the method, the power consumption behavior, the payment record, the external credit information and the environmental data of the user are collected, the power consumption and payment characteristics of the user are accurately extracted in combination with data preprocessing and tagging modeling, the user behavior characteristic matrix is generated by using the sliding window strategy, and the user risk is dynamically evaluated in combination with the time sequence model and the static classification model. The method comprises the following steps: acquiring a risk score of a user, outputting an accurate risk score, generating a user comprehensive risk grading result based on the risk score, electricity utilization importance and a defaulting accumulated score, formulating a differentiated fee control strategy for different users, dynamically capturing fee control evaluation information by analyzing seasonal fluctuation of electricity utilization and fee payment capabilities of the users, and generating an optimization signal. Dynamic adjustment of the charge control strategy is realized, the flexibility of charge control management of an electric power company is improved, and both economic benefits and user experience are taken into account.

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.

The invention provides a power transmission line health state assessment method based on multi-dimensional data fusion. Comprising the steps of collecting historical fault ledger information and machine patrol defect data, calculating a manufacturer Wilson score, calculating a basic integral of each grade risk, calculating a climate integral, calculating a hidden danger integral correction coefficient, calculating a hidden danger integral, evaluating an electric line risk grade, and performing a maintenance response strategy. In the evaluation process, through a dynamic integral mechanism, the health state and the development trend of the power transmission line can be reflected in real time, powerful data support is provided, an electric power company is helped to make a scientific maintenance plan, and finally the safe operation level of the power transmission line is improved.

The invention relates to the technical field of intelligent electric meters, and provides an electric meter control method with an automatic reclosing circuit breaking device, which comprises the following steps: S1, acquiring a bar code and an MAC address of an electric meter from a database of an electric power company by adopting an intelligent terminal, and not storing the bar code and the MAC address in the intelligent terminal; s2, connecting the electric meter with the intelligent terminal in a pairing manner, and performing initialization configuration setting; s3, the intelligent terminal monitors the state of the electric meter in real time and sends an early warning notification to the intelligent terminal when the state of the electric meter is abnormal; and S4, the intelligent terminal sends a signal to the control chip in the operation box to execute switching-on and switching-off operations. By introducing pairing connection between the intelligent terminal and the electric meter, the function of monitoring the state of the electric meter in real time is achieved, abnormal conditions can be found in time, an early warning notification can be sent to a user, the working state of the electric meter can be analyzed and judged according to real-time data, and therefore an opening signal is rapidly sent out under the abnormal conditions, circuit safety is ensured, and the safety of the electric meter is improved. And potential dangers are prevented.

To provide a power transmission line periphery monitoring system and a power transmission line periphery monitoring program that can easily and properly monitor occurrence of an event which may affect a power transmission line and a power transmission tower.SOLUTION: A power transmission line periphery monitoring system 1 comprises: a monitoring drone 2 which photographs a periphery of a power transmission line by a camera 21 from the sky; a monitoring computer 3 which stores an image, obtained by photographing the periphery of the power transmission line L in a normal state, with the monitoring drone 2, as a normal image, and determines whether an abnormal event which may affect a power transmission line and a power transmission tower T occurs in the periphery of the power transmission line based upon an object image obtained by photographing the periphery of the power transmission line L with the monitoring drone 2 at monitoring object time and the normal image. The monitoring computer 3 may be arranged in an office C of an electric power company or in other places.SELECTED DRAWING: Figure 1

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.

The invention relates to the field of power grid material quality management and control, in particular to the technical field of quality evaluation, and more particularly relates to a power grid material sampling inspection strategy making method and system based on multiple dimensions, aiming at a special application scene of continuous small-batch arrival acceptance inspection of power grid materials by multiple suppliers, and aiming at the target of'quality-quality few inspection and quality-quality multiple inspection '. By introducing the AQL theory and integrating multiple factors such as the historical supply quality level of suppliers and the bearing capacity of detection resources, a total cost minimization model under the condition of maximum supplier sampling inspection strength and quality level evaluation sorting consistency is constructed, so that the optimal sampling inspection strategy of different power grid materials and different suppliers can be intelligently obtained, and the sampling inspection efficiency is improved. And a support is provided for an electric power company to make a sampling inspection scheme more accurately and realize reasonable allocation and utilization of resources.

The invention relates to an intelligent invoice issuing system special for electric charge value-added tax, and the system comprises a data collection module which is used for obtaining electric charge data in real time; the user management module is used for user identity authentication, information input and management; the tax rate calculation module is used for calculating an applicable value-added tax rate according to the user type and the region; the invoice issuing module is used for generating a value-added tax special invoice containing the user information, the electric charge details and the tax rate; the data storage module is used for safely storing the issued invoices and related electricity charge information and supporting query and statistics; the payment management module is used for receiving and checking user payment information and realizing an online payment function; and the notification reminding module is used for sending billing, payment reminding and invoice state updating to the user. The method is specially used for providing intelligent issuing service of the value-added tax invoices for electric power companies and users, intelligent issuing of the electric charge value-added tax invoices is realized, and the accuracy and efficiency of invoice issuing are improved.

A new energy planning method based on new energy development planning and consumption model, including: 1. Constructing a new energy development demand model based on the carbon constraint target and basic power balance situation of the new energy planning area; 2. Constructing a power sufficiency and new energy consumption level model under various power source combinations; then constructing a comprehensive evaluation index model based on the power sufficiency and new energy consumption level model; 3. Constructing a new energy capacity utilization efficiency model based on the historical annual power generation data of the new energy planning area; 4. Constructing an investment return model based on the cash flow and initial investment within the project life cycle; 5. Constructing a new energy development planning and consumption model using the above models, and conducting new energy planning based on the new energy development planning and consumption model. The present invention proposes a new energy development planning and consumption model, which is suitable for energy planning departments, power companies, etc., and provides a solid scientific basis for energy structure adjustment and carbon emission control.

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 invention provides an interaction method and system for electricity marketing, and the method comprises the steps: collecting the electricity consumption data of a user through an Internet of Things device, and carrying out the preprocessing of the data; a power consumption behavior prediction model is constructed according to the preprocessed data to predict the future power demand of the user, and a response is made to sudden changes; constructing a dynamic electric power pricing model according to the prediction result, and adjusting the electric power pricing according to the actual demand of the user and the load change of the power grid; market conditions are monitored through real-time data streams, and potential anomalies are found in time in combination with a trained power consumption behavior prediction model and a dynamic power pricing model; and an optimal power package is recommended for each user through an optimization algorithm, and real-time adjustment is carried out. According to the invention, the marketing accuracy and effect of the electric power company are improved, the interactivity and energy-saving awareness of the user are enhanced through a social mechanism, and the transformation of the electric power industry to the direction of intelligence, individuation and socialization is promoted.

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 invention discloses a safety rope for power construction, the safety rope for power construction comprises a shoulder strap and a safety insulation rope, the shoulder strap is used for being worn by a constructor, one end of the safety insulation rope is connected with the shoulder strap, the other end of the safety insulation rope is connected with a safety lock, and the shoulder strap is provided with a tension sensor and an alarm positioner. When a sensing value of the tension sensor reaches a trigger value, the alarm positioner can be triggered to send an alarm signal and transmit position information. The safety rope for electric power construction can timely inform an electric power company and inform the accident position when an electric power worker has an accident or an emergency situation, and life safety of the construction worker is protected.