11 results about "Coulombmeter" patented technology

1. The name of the design product: multi-user electric energy meter with separate household electricity indication. 2. The use of the design product: for electricity measurement. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: front view.

This system provides a proposal system that can suggest changes to the operating schedule of equipment to improve economic efficiency. [Solution] The proposed system 10 includes an acquisition unit 23a that acquires the operating schedule of the equipment 35 installed in the house 70 and the electricity purchase price for each time period in the house 70; an estimation unit 23b that estimates the power consumption of the equipment 35; a calculation unit 23c that calculates a first electricity charge when the equipment 35 is operated in a first time period determined by the acquired operating schedule, and a second electricity charge when the equipment 35 is operated in a second time period where the electricity purchase price is lower than in the first time period, based on the acquired electricity purchase price and the estimated power consumption; and a proposal unit 23d that proposes operating the equipment 35 in the second time period by presenting the amount of savings determined by the calculated first and second electricity charges.

This application provides a smoothing filtering method, apparatus, electronic device, and storage medium for a fuel gauge, relating to the field of battery power technology. The smoothing filtering method includes: determining whether the battery is in a charging or discharging state; determining whether the actual battery charge at a later time is greater than the actual charge at a previous time; and determining whether the change in the actual battery charge at a later time is greater than a first preset threshold; if the change in the actual battery charge at a later time is greater than the first preset threshold, determining an adjustment step size based on the change in the actual battery charge, and adjusting the displayed charge of the fuel gauge according to the adjustment step size; if the change in the actual battery charge at a later time is less than or equal to the first preset threshold, adjusting the displayed charge of the fuel gauge proportionally. The method provided in this application satisfies the theoretical relationship F_SOC = F_RC / F_FCC while simultaneously achieving a smooth data transition perceived by the user.

The application discloses an electric power equipment production link carbon footprint accounting method, and belongs to the technical field of electric power equipment carbon footprint accounting. The method aims to solve the problems of repeated measurement of carbon emission and insufficient accounting accuracy caused by not deducting the already verified green electricity when accounting for indirect power emission by using regional average power emission factor. The technical scheme points are: obtaining enterprise production energy consumption, green certificate and provincial power grid data; based on the power grid data and the non-fossil energy power locked by the green certificate, calculating the provincial power remaining emission factor; checking the uniqueness and timeliness of the green certificate and locking the passed green certificate as equivalent green electricity power; according to the production energy consumption, the locked green electricity power and the provincial remaining emission factor, accounting for the indirect carbon emission of the production link. The method realizes the dynamic linkage of green certificate rights and interests and provincial power grid emission factor, and improves the accuracy and comparability of the electric power equipment production link carbon footprint accounting.

This invention relates to the field of electricity theft detection technology and discloses an electricity theft detection method. The method comprises: S1, acquiring the historical and current electricity consumption of the target within a measurement period, and calculating the electricity consumption change rate based on the historical and current electricity consumption; S2, calculating the electricity consumption fluctuation judgment coefficient based on the historical electricity consumption. This electricity theft detection method determines the target's electricity consumption status by calculating the target's electricity consumption change rate, electricity consumption fluctuation judgment coefficient, current imbalance, and line power loss, and comparing these with corresponding thresholds. Based on the combined comparative analysis of the comparison results, it can determine whether the target has engaged in electricity theft or is currently engaging in electricity theft. This method detects electricity theft without requiring public reports or on-site inspections and investigations, and improves the efficiency of electricity theft detection by directly acquiring and analyzing the electricity consumption data corresponding to the target.

This invention discloses a photovoltaic-storage-load co-optimization method, relating to the field of power dispatching technology, to address the overload of dedicated transformers in existing small and micro-sized industrial parks. The method includes the following steps: receiving photovoltaic forecast data, load forecast data, actual sampling data, production schedules, and meteorological data; dividing the operation scenarios; generating energy storage charging and discharging power or power plans for different electricity price periods under each operation scenario using a preset photovoltaic-storage-load co-optimization method; and adjusting power according to the plans. This invention also discloses a photovoltaic-storage-load co-optimization electronic device, computer storage medium, and system. By formulating different charging and discharging strategies for different scenarios, this invention avoids overload of dedicated transformers in industrial parks, maximizes the operational efficiency of the parks, and simultaneously improves the parks' flexible adjustment capabilities and emergency backup power capacity.

The power consumption state monitoring method, the electronic device, the storage medium and the program provided by the application first acquire a first host frozen power, first current data and second current data, then calculate a first slave frozen power according to the first current data, calculate a state variable between the host and the slave according to the first host frozen power and the first slave frozen power, obtain a first vector calculation result according to the state variable and the first current data, and obtain a second vector calculation result according to the state variable and the second current data, and finally obtain a power consumption state monitoring result according to the first vector calculation result and the second vector calculation result. According to the host frozen power and the slave frozen power, the state variable between the host and the slave is calculated, the current vector result is calculated by using the state variable, the power consumption state of the power system is evaluated by comparing the current difference and the matching degree, and the accuracy of the power consumption state monitoring is improved.

A clock optimization method and system of a flexible rate electric energy meter, characterized in that the method comprises the following steps: step 1, collecting time information in a node message on a neighbor node of the electric energy meter, and determining the credibility of the node time on the electric energy meter according to the time information; step 2, when the credibility of the node time on the electric energy meter meets suspicious conditions, sending the node time on the electric energy meter to a concentrator corresponding to the electric energy meter to update the node time; step 3, when the credibility of the node time on the electric energy meter meets statistical correction conditions, correcting the node time on the electric energy meter by using the time information on the neighbor node. The present application has clear ideas, reliable process, real-time monitoring of surrounding neighbor nodes, dynamic, flexible, timely updating of meter time, guaranteeing the accuracy of flexible rate electric energy meter minute frozen data, and improving the reliability of electric quantity measurement data.

The application discloses a photovoltaic power station shadow loss electric quantity prediction method and system based on big data. The unit installed power curve of each inverter of a to-be-tested power station in a prediction period is determined; a plurality of unit installed power curves are fitted to obtain a benchmark inverter unit installed power curve; shadow identification is performed on each inverter to respectively determine a shadow period of the corresponding inverter; the area between the unit installed power curve of the corresponding inverter in the shadow period and the benchmark inverter unit installed power curve is calculated to obtain the loss electric quantity of the corresponding inverter in the shadow period; and the loss electric quantity sum of each inverter in the prediction period is calculated to obtain the shadow loss electric quantity of the to-be-tested power station in the prediction period. The application can reduce data processing complexity, improve prediction efficiency, is not dependent on a large amount of meteorological data, can predict the loss electric quantity based on the shadow period of each inverter, and can improve the overall accuracy of predicting the loss electric quantity of the power station.

The present application belongs to the technical field of power station health state detection and evaluation, and specifically discloses a compressed air energy storage power station health state detection and evaluation method, which comprises the following steps: calculating the actual conversion efficiency based on the input and output total power of the current detection period, and constructing a conversion efficiency trend baseline combined with historical data; predicting the efficiency through exponential smoothing, obtaining the baseline change rate combined with the slope, then calculating the conversion efficiency deviation by weighted fusion, and comparing it with the health threshold to determine the health state; when the health state is unhealthy, the deviation indexes of each stage are calculated according to the comparison between the theoretical and actual parameters for the compression, transmission, storage and release stages; comparing the deviation indexes of each stage with the upper limit of the historical normal fluctuation range to determine the abnormal stage; correcting the deviation indexes according to the upstream abnormal relationship, and determining the maintenance execution mode and sorting execution according to the corrected value. The present application realizes the health evaluation and accurate maintenance decision of multi-link coupled power stations.

The present application relates to the technical field of power market, and discloses a method and device for determining the value of load loss and a storage medium, the method comprising: calculating the average load loss value of industrial and commercial electricity customers at a specified time according to the relevant electricity consumption and corresponding gross domestic product; calculating the average load loss value of household electricity customers at a specified time according to the relevant income and household electricity consumption; and drawing the daily load loss characteristic curve of the electricity customers according to the average load loss value of the industrial and commercial electricity customers and / or household electricity customers at a specified time and the daily electricity consumption characteristic curve of the industrial and commercial electricity customers and / or household electricity customers. The present application can be applied to analyze the difference in load loss value among different provinces, and provide a reference for the upper limit of spot market price, demand corresponding compensation standard and capacity demand curve design.