102 results about "Coulombmeter" patented technology

The invention relates to a method and a system for detecting abnormal electricity consumption of an electric energy meter, and relates to the technical field of electric power detection. According to the method for detecting abnormal power consumption of the electric energy meter, the data of the electric energy meter is collected and analyzed, so that the accuracy of wiring of the electric energy meter can be preliminarily judged through an instrument, the electric quantity needing to be compensated during a fault period is automatically calculated, the manual calculation processing time is shortened, and the field operation and maintenance working efficiency can be greatly improved; the electric quantity calculation method can be immediately corrected by analyzing acquired data of the electric energy meter, finding a wrong wiring condition, so that the device can acquire a real-time power consumption condition and automatically calculate the electric quantity needing to be compensated in a wrong wiring state and in abnormal operation, the operation and maintenance work difficulty of an electric power department is reduced, and the working efficiency is improved. And the efficiency of field operation and the timeliness of electric quantity compensation are improved.

The invention discloses a method for evaluating the health state of a LiFePO4 battery, and belongs to the field of prediction of the health state of a battery of a peak regulation energy storage system. The implementation method comprises the following steps: acquiring initial electric quantity according to open-circuit voltage of a battery, and calculating SOH by combining full-charge charging capacity; a differential voltage curve is obtained by performing differential processing on a charging curve, an inflection point between a high-voltage platform and a low-voltage platform in the charging curve is accurately positioned by using valley voltage between high-voltage characteristic peaks and low-voltage characteristic peaks, and SOH is calculated by accumulating electric quantity before and after the inflection point. Under the same multiplying power and electric quantity interval, an average charging and discharging voltage value is taken to construct an average charging and discharging curve, an inflection point is positioned through differential processing, and SOH is estimated through accumulation of electric quantity before and after the inflection point. And intelligently distributing weight coefficients of the three groups of SOH estimation results based on a fuzzy theory to obtain a final SOH value of the battery. According to the method, the accuracy and the reliability of LiFePO4 battery health state evaluation can be remarkably improved, and fault diagnosis and service life prediction of a battery system are facilitated.

The invention provides a metering box electricity larceny detection method, system, equipment and medium under carrier communication, and relates to the field of metering box electricity larceny prevention, and the method comprises the following steps: collecting the three-phase current ICCO, voltage UCCO and freezing electric quantity QCCO of a split-phase protection intelligent circuit breaker, and the current Ij, voltage Uj and freezing electric quantity Qj of an electric energy meter in real time; calculating a correlation coefficient and an average distance between the voltage sequence {Uj} of the electric energy meter and the three-phase voltage sequence {UA, UB, UC} of the circuit breaker, and determining a connection phase of each electric energy meter; the deviation value delta I of the sum of the current ICCO of the circuit breaker and the current Ij of the connected electric energy meter under the same phase is calculated, a line loss model is constructed by combining the freezing electric quantity Qj and the QCCO, and the line loss rate p is solved; and performing three-level electricity stealing judgment, positioning an electricity stealing point and generating an electricity stealing probability Ptheft. Through multi-source data fusion, edge-side autonomous efficient electricity stealing closed-loop judgment and split-phase protection and electricity stealing prevention collaborative optimization, the accuracy of electricity stealing identification and the reliability of power supply are remarkably improved.

The invention discloses a heavy load transformer area technology loss abnormity diagnosis method and system based on a characteristic cutaway view, and belongs to the technical field of line loss management. The method comprises the following steps: acquiring the power supply quantity and the line loss rate of the transformer area in the automatic meter reading system; calculating a transformer area average load rate according to the transformer area power supply amount, and screening out a heavy load transformer area by using the transformer area average load rate; drawing a characteristic cutaway view of the heavy load area according to the power supply quantity of the heavy load area and the line loss rate of the heavy load area; fitting the heavy load area characteristic cutaway view, and calculating the slope of the heavy load area characteristic cutaway view; and obtaining a technical loss abnormity diagnosis result of the heavy load transformer area according to the slope of the heavy load transformer area characteristic section view and the slope threshold value of the same type of heavy load transformer area. According to the heavy load area characteristic cutaway view provided by the invention, accurate judgment of the line loss abnormity of the heavy load area can be realized only through image analysis and data fitting.

The invention provides an ammeter metering abnormity identification method and system based on multi-mode power utilization data fusion, and relates to the technical field of electric power metrology, and the method comprises the steps: collecting an actual power consumption set of intelligent power utilization equipment of a target user in a preset time zone, and carrying out the matching to obtain an equipment association degree set; according to the actual power consumption set and the equipment association degree set, predicting to obtain predicted total power consumption; performing analysis based on the intelligent electric equipment type set and the equipment association degree set to obtain prediction confidence; calculating a threshold adjustment coefficient according to the load fluctuation characteristics, the environment fluctuation characteristics and the prediction confidence in the preset time zone, correcting the initial error threshold, and outputting an adaptive error threshold; and calculating the electric quantity deviation amplitude according to the meter display consumed electric quantity of the electric energy meter of the target user in the preset time zone and the predicted total consumed electric quantity, and if the electric quantity deviation amplitude exceeds an adaptive error threshold, executing abnormal early warning. The technical problems of high false alarm rate and poor reliability of electricity meter metering abnormity identification in the prior art are solved.

A single-phase fee-controlled electric energy meter based on the Internet of Things, the electric energy meter comprising a meter body (1) and an intelligent working system, wherein a mounting base (2) is provided on a back face of the meter body (1), and fixing holes (23) are uniformly provided on the mounting base (2); a display screen (11) is provided on a front face of the meter body (1), and connecting wires (12) are mounted at the bottom of the meter body (1); and the intelligent working system comprises: an intelligent processor, an electricity quantity calculation module, an electricity fee calculation module, a display module, an information transmission module, an alarm module and a security module. By means of the information transmission module, calculated electricity consumption information and electricity fee information are instantly transmitted to a power supply department by means of a transmitting device via a data network.

The invention provides a POS machine detection method and a POS machine, a voltameter is arranged in the POS machine, a voltameter chip is arranged in the voltameter, and the detection method comprises the steps that when a voltameter driver is loaded, the voltameter chip is verified; if the chip of the voltameter is abnormal, reporting abnormal information to the Android system; if the voltameter chip is normal, loading a voltameter chip driver, and reading battery data of the POS machine; according to the battery data, different states of the POS machine are processed, and the states of the POS machine comprise the state that the POS machine is only connected with a charger to be started, the state that the POS machine is connected with a battery again after being started, and different batteries are replaced when the POS machine is in the standby state. According to the invention, the situation that the newly accessed battery and the accessed battery are possibly detached after the POS machine is started is considered, and different states of the POS machine can be processed.

To provide an information processing apparatus, a system, and a method for determining procurement of electric power whose environmental value is certified.SOLUTION: A method executed by an information processing apparatus, the method including: acquiring a desired condition related to procurement power and a required amount of power from each tenant of a customer; calculating a desired amount of power and an environmental value based on the desired amount of power for each demand having the same desired condition; temporarily assigning, for each demand, a predicted value of an amount of power generation of renewable energy with a proven environmental value to the desired amount of power; and externally procuring, when the predicted value of the amount of power generation is insufficient for the desired amount of power for each demand, differential between the predicted value of the amount of power generation and the desired amount of power for each demand such that a procurement cost is minimized.SELECTED DRAWING: Figure 3

The present invention relates to the field of power trading risk assessment, and specifically to a power spot trading risk assessment method, comprising the following steps: S1, obtaining photovoltaic impact information and wind power impact information of the area where the target power spot supplier is located; S2, calculating the total predicted power generation of the target power generator in the target time period based on the photovoltaic impact information and the wind power impact information; S3, obtaining the power consumption impact information and historical power consumption information of the power grid; S4, calculating the first total power consumption of the power grid in the target time period based on the power consumption impact information and the historical power consumption information; the present invention takes into account that the common power grid power consumption calculation method only calculates the individual effects of season, GDP growth rate, industry type and population density on the total power consumption, and does not take into account the mutual influence between these factors, resulting in an inaccurate calculation result of the power grid power consumption, so four coupling influence coefficients are introduced, and the accuracy of the total power generation of the power grid finally calculated is higher.

The invention discloses an electric power metering and electric charge accounting system based on multi-source data and an intelligent algorithm, and relates to the technical field of intelligent power grids, and the system comprises the following steps: S1, constructing a multi-source power credibility weighted fusion model, and outputting multi-source credibility weighted fusion power; s2, performing section-level correction and equivalent electric quantity calculation on electric energy flow in the current settlement time slice; s3, constructing a user side clearing electric quantity model, and dynamically calculating the clearing electric quantity of the user; s4, constructing an electric charge cardinal model, and dynamically pricing the sorted electric quantity; s5, the obtained electricity charge cardinal number is optimized; and S6, establishing an anomaly identification and dynamic verification mechanism. According to the invention, a credible fusion mechanism of multi-source heterogeneous data is constructed, self-calibration modeling of a metering point topological structure is realized, a precise clearing method oriented to user contracts and line loss is introduced, and a full-link intelligent system is formed in combination with a strategy-driven electricity charge accounting model and a cross-cycle consistency anomaly detection mechanism.

The present invention relates to the technical field of batteries, and particularly to a battery power detection method, an electronic device, and a computer-readable storage medium, including: reading an original voltage value of the battery through the ADC module and calculating an actual voltage value; judging whether the battery is in a charging state according to the actual voltage value, obtaining a corrected voltage value according to a judgment result, obtaining a compensation value according to the corrected voltage value and a power supply state of the SOC main control chip, and further calculating a compensated voltage value; using the compensated voltage value to update the sliding window so as to determine a remaining power of the battery according to an average voltage value of the updated sliding window. By combining a voltage correction and compensation mechanism with a sliding window technique, the stability and accuracy of battery remaining power detection can be ensured, and no additional external coulometer or other peripheral circuits are required, thereby significantly reducing the production cost of the product.

The present invention discloses a method for designing an excitation inductor to ensure soft switching of a CLLC resonant converter, comprising a qualitative analysis of the dead-zone equivalent circuit of the CLLC resonant converter and a Laplace coordinate transformation. The electric quantity values ​​of the capacitor and the inductor at the dead-zone moment are obtained according to the fixed-frequency analysis principle of the CLLC resonant converter. The time-domain expression of the resonant current during the dead-zone is obtained by using the mesh current method. The period of the resonant current is calculated according to the parasitic capacitance value of the primary and secondary side switching tubes. The discharge time of the parasitic capacitance is calculated taking into account the electric quantity of the capacitor. The excitation inductance value required when the resonant current just drops to zero at the end of the dead-zone time is calculated. The present invention can effectively ensure the soft switching of the resonant converter, reduce the amplitude of the resonant current, improve the efficiency of the resonant converter, and has strong versatility.

The application provides a power meter correction electric quantity calculation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring metering history data of a target power meter; analyzing the metering history data by using a phase angle feature portrait algorithm, and identifying a wiring error type corresponding to the target power meter; determining a corresponding correction transformation matrix based on the wiring error type; and calculating the correction electric quantity of the target power meter based on the correction transformation matrix. The application provides a novel power meter correction electric quantity calculation scheme. By using an advanced algorithm and a mathematical model, the correction electric quantity of the power meter can be more accurately calculated, the interference of human factors is reduced, various complex wiring error conditions can be adapted to, and therefore the accuracy and reliability of the power system power meter correction electric quantity calculation method are improved.

The invention relates to a calibration method and device, terminal equipment, a storage medium and a program product. The calibration method comprises the steps that the power capacity of a target power supply after the target power supply is fully charged last time is acquired; and when the power supply capacity is out of a reference capacity range, approaching the power supply capacity to a boundary value of the reference capacity range, or adjusting the power supply capacity to be within the reference capacity range to obtain the calibrated power supply capacity. Through the method, the condition of power supply capacity deviation after the power supply capacity is updated through the voltameter is reduced, so that the condition of abnormal power supply endurance and charging time caused by the condition is reduced, the calibration of the power supply capacity after the target power supply is fully charged last time is realized, the accuracy of the power supply capacity is improved, and the power supply capacity calibration efficiency is improved. And the use experience of the user is better.

The present invention discloses a method, system and storage medium for calculating carbon emissions from electricity consumption on the load side. The method first calculates the carbon emissions per unit electricity of the transmission line based on the proportion of primary energy electricity at each line collection point and power generation grid connection point on the transmission line. Then, starting from the electricity consumption side, the carbon emissions of the transmission line are calculated based on the transmission electricity on each transmission line. Finally, the carbon emissions of the primary energy electricity on the load side are calculated based on the carbon emissions per unit electricity of the transmission line connected to the load side receiving point and the actual electricity consumption on the load side. The present invention solves the problem that the load side main body cannot currently perform effective calculations and can only spread carbon emissions. It can accurately divide the line collection point and the load side receiving point, accurately calculate the carbon emissions per unit electricity of each section of the transmission line and the load side receiving point, and then calculate the carbon emissions on the load side.

The present invention discloses an optimization method and system for calculating electricity quantity in the spot trading market. The method includes: inputting the bidding electricity quantity and electricity price of all bidding power plants in each province into a pre-constructed intra-provincial bidding model, and using an improved simplex method to calculate the intra-provincial bidding model to obtain the surplus and deficit electricity quantities in each province; inputting the surplus and deficit electricity quantities in each province and the bidding curves of each province into a pre-constructed inter-provincial bidding model, and using an improved simplex method to calculate the inter-provincial bidding model to obtain the trading electricity quantities between provinces; the improved simplex method is when calculating the basic credible solution using pivot calculation, making the column where the entering variable is located the pivot column, the row where the leaving variable is located the pivot row, and using Gaussian elimination method to perform pivot elimination operation. The present invention simplifies the calculation process, ensures the calculation accuracy, and avoids the problem of reducing economic losses caused by precision errors.

The invention relates to the technical field of electricity price prediction, in particular to an auxiliary electricity price prediction method and system based on new energy power, and the method comprises the steps: obtaining a plurality of historical data; calculating a historical power supply-demand ratio according to a plurality of historical power generation amounts and a plurality of historical power consumption amounts, drawing and analyzing a supply-demand ratio change curve, and marking an abnormal part according to an analysis result; acquiring historical weather data, and determining influence parameters; establishing an initial electricity price prediction model; obtaining a plurality of actual power generation amounts and a plurality of actual power consumption amounts to calculate an initial power supply-demand ratio; actual weather data are obtained and analyzed, and when the weather data are abnormal, the initial power supply-demand ratio is calibrated to obtain a calibrated power supply-demand ratio; obtaining an initial predicted electricity price according to the calibrated power supply-demand ratio and an initial electricity price prediction model; and comparing the initial predicted electricity price with the actual electricity price to determine an actual error value, and determining to update the electricity price prediction model according to a comparison result of the actual error value and a preset error range. The accuracy of the electricity price prediction model is improved.

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.

The invention relates to an electricity stealing quantity calculation method and device based on a data acquisition device. The method comprises the steps of setting a data acquisition device, acquiring first current data based on the data acquisition device, and calculating a medium-voltage side current actual consumption value based on the first current data; voltage data, second current data and meter active power corresponding to the collection time point of the first current data are obtained based on a metering general meter, and a medium-voltage side ammeter consumption value is obtained through calculation based on the second current data; a current difference value between the medium-voltage side current actual consumption value and the medium-voltage side ammeter consumption value is obtained, whether the current difference value is larger than a current difference threshold value or not is judged, and when the current difference value is larger than the current difference threshold value, it is judged that the first collection time point of the current data is the electricity stealing time point; and when the acquisition time point of the first current data is the electricity stealing time point, calculating to obtain a medium-voltage side voltmeter back calculation value based on the voltage data. In this way, not only can the specific electricity stealing time be determined, but also the specific electricity stealing quantity can be determined.

The invention discloses a redundant electric quantity calculation method and system, and relates to the technical field of electric quantity calculation, and the method comprises the steps: collecting the electric quantity of an ammeter, and calculating a first electric quantity collection value; calculating generating capacity through a first method, and performing first comparison on the generating capacity; a first calculation check is performed on the power generation amount and a fault is processed. According to the redundant electric quantity calculation method provided by the invention, the electric quantity value in a certain time period is respectively calculated by independently using a subtraction calculation method and an accumulation calculation method, the fault-tolerant capability and the stability of electric quantity calculation are improved, the difference value comparison is performed on the results of the subtraction calculation and the accumulation calculation, and the tolerance threshold value is set as a judgment reference, so that the accuracy of electric quantity calculation is improved. Compared with the prior art, the method has the advantages that the calculation accuracy of the generating capacity data is improved, a reliable result is preferentially output under the condition of abnormal calculation, a comparison mechanism is re-started after a fault is repaired, the real-time performance and the service guarantee capability of the system in a complex environment are improved, and the method has better effects in the aspects of calculation accuracy, stability and real-time performance.

The invention discloses an electric carbon emission metering method and device for energy storage equipment, and the method comprises the steps: calculating the attached carbon emission of the energy storage equipment after the (n + 1) th electric energy input based on the electric carbon emission factor, the input electric quantity and the output electric quantity of the energy storage equipment after the nth electric energy input and the (n + 1) th electric energy input; calculating an electric carbon emission factor of the energy storage equipment after the (n + 1) th time of input of the electric energy based on the attached carbon emission of the energy storage equipment after the (n + 1) th time of input of the electric energy; and calculating the attached carbon emission after the (m + 1) th output when the energy storage equipment is in the output state based on the attached carbon emission after the (n + 1) th electric energy input of the energy storage equipment and the electric carbon emission factor. According to the method, the real-time operation data of energy storage and the space-time dynamic carbon emission factors of the power grid are coupled, the carbon emission factors of the charging and discharging behaviors of the power grid are accurately quantified, the defects that an existing method is extensive in metering and cannot reflect space-time characteristics can be overcome, and technical support can be provided for objectively evaluating carbon metering of energy storage equipment.

The invention relates to the field of electric power transaction risk assessment, in particular to an electric power spot transaction risk assessment method, which comprises the following steps: S1, acquiring photoelectric influence information and wind power influence information of a region where a target electric power spot supplier is located; s2, according to the photoelectric influence information and the wind power influence information, calculating the total predicted generating capacity of the target power generation party in the target time period; s3, acquiring power consumption influence information and historical power consumption information of the power grid; s4, calculating the first total electricity consumption # imgabs0 # of the power grid in the target time period according to the electricity consumption influence information and the historical electricity consumption information; according to the method, the situation that in a common power grid electricity consumption calculation method, only the individual influence of seasons, GDP growth rates, industry types and population density on the total electricity consumption is calculated is considered, and the situation that the calculation result of the power grid electricity consumption is not accurate enough due to the mutual influence among the factors is not considered, so that four coupling influence coefficients are introduced; and the accuracy of the finally calculated total power generation amount of the power grid is higher.

The invention provides an on-line electrochemical measurement method for the performance of an alloy plating solution. The method comprises the following steps: depositing the alloy plating solution in a constant-current deposition stage to obtain an alloy plating layer; in the dissolution stage, the dissolution peak of each metal element is sequentially obtained by adopting a scanning voltammetry method, and the dissolution electric quantity Q of each metal element is calculated; the atom proportion X (at%) is calculated according to the dissolution electric quantity of each metal element in atom proportion calculation, and X (at%) is equal to [zx-1. QX / sigma zy-1. QY] * 100%; qX represents the dissolution electric quantity of the to-be-detected metal element X, and zx represents the valence state of the to-be-detected metal element X in the alloy plating solution; qY represents the dissolution electric quantity of any metal element Y in the alloy plating layer, and zy represents the valence state of the metal element Y in the alloy plating solution; wherein Y comprises X and zx, and zy is a positive integer greater than or equal to 1 and less than or equal to 6; and in the performance comparison, comparing the calculated atom proportion of the metal element with a target value, and judging whether the performance of the alloy plating solution meets the requirement or not.

The invention discloses a fusion self-adaptive deconstruction method, device, equipment and medium for the line loss electric quantity of a transformer area, and relates to the technical field of power systems. Abnormal data correction is carried out on a data type historical electric quantity data set through an abnormal value detection rule, the data quality is guaranteed, quantitative conversion is carried out on a text type abnormal cause label set, and the data quality is improved. And text information is converted into a numerical form which can be calculated by the model, and cross-modal data fusion is realized. And then comprehensive influence of various abnormal causes is incorporated into electric quantity loss calculation, so that the limitation of a traditional method on single factor or independent factor analysis is broken through, and a multi-factor synergistic effect is accurately reflected. Then performing model training on the neural network model through a multi-objective loss function and a dynamic coding mechanism, constructing a transformer area line loss electric quantity deconstruction model, enabling the model to automatically capture a complex coupling relationship between causes and line loss, and combining real-time data to update parameters so as to adapt to a dynamic scene; and the identification precision and generalization capability of the line loss abnormal causes are improved.

The invention provides an economical efficiency judgment and optimization method for a user-side power energy storage operation mode. The method comprises the following steps: acquiring basic parameters of an energy storage system and preset parameters of a proposed operation mode; determining the cycle life of the battery in the proposed operation mode; determining a battery calendar life of the proposed operation mode; calculating the daily charge and discharge per kilowatt hour earnings of the energy storage system; determining the service life of the energy storage system in the proposed operation mode; calculating monthly dischargeable electric quantity of the energy storage system; calculating the present value of the accumulated discharge capacity in the service life of the energy storage system; determining a full-life-cycle operation and maintenance cost present value of the system; calculating the leveling charge and discharge cost LCOS of the system; calculating an energy storage system leveling charging and discharging price difference net value LNPD; and judging whether the LNPD is greater than the LCOS or not, and if so, judging that the proposed operation mode meets the economical feasibility requirement. According to the method, accurate economical efficiency judgment can be carried out on the energy storage operation mode, and the optimal operation mode is obtained.

The application discloses a kind of fault loss electric quantity determination method, device, system and storage medium, the method includes: obtaining the equivalent utilization hours of each inverter of historical daily in power station and historical daily weather data;According to the historical daily weather data and the equivalent utilization hours, the inverter is clustered, and the inverter grouping set is determined;Current fault information of the power station is obtained, and the fault loss electric quantity of the power station is determined based on the current fault information and the inverter grouping set.The application is clustered according to historical daily weather data and the equivalent utilization hours of each inverter of historical daily in power station, and the inverter grouping set is determined, and the fault loss electric quantity of any equipment failure in power station can be calculated by selecting corresponding equivalent utilization hours in inverter grouping set, to determine the fault loss electric quantity of power station, without specifying template machine, to reduce the fault loss electric quantity calculation error.

The invention discloses an electric quantity returning and supplementing calculation method for a three-phase user and a medium, and relates to the technical field of electric quantity restoration. The method comprises the following steps: calculating a three-phase unbalance degree of a user based on acquired electric energy consumption data; judging whether an electric quantity returning and supplementing condition is met or not according to the three-phase unbalance degree, if not, not performing electric quantity returning and supplementing, and if yes, calculating a balance correction coefficient according to the obtained user type and the three-phase unbalance degree; based on the balance correction coefficient, the metering data and the wiring type of the electric energy meter, calculating the total electricity consumption of the abnormal phase of the electric energy meter during the fault; and according to the total power consumption and the metering data of the abnormal phases of the electric energy meter during the fault period, calculating to obtain the returned and supplemented power of the three-phase user. According to the method, the three-phase unbalance degree is introduced to serve as the applicability criterion, the differentiation processing strategy is designed in combination with different user types and wiring modes, and the adaptability and accuracy of the calculation method are remarkably improved.

The invention discloses a user electric energy meter missort identification method and device based on electric power big data and a medium, and belongs to the technical field of electric power information. The method comprises the following steps: determining a user set of electric energy meters in the same meter box based on power user information in a power master station database; obtaining active power of each user in the user set at a plurality of different time points every day in n days before and after meter replacement, and daily power consumption of each user in n days before and after meter replacement; calculating an active power correlation coefficient between each user and each user according to the active power of each user before meter changing and the active power of each user after meter changing; calculating an electricity consumption fluctuation coefficient of each user before and after meter replacement according to the daily electricity consumption; and identifying the electric energy meter missort pair of the user set according to the active power correlation coefficient and the electric quantity fluctuation coefficient. According to the method, the electric energy meter missort pair can be accurately identified by analyzing the electric power big data, the operation and maintenance cost is reduced, and the identification efficiency of the electric energy meter missort is improved.

The embodiment of the invention provides an electric quantity calibration method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the electric quantity percentage when target equipment is discharged to a battery end voltage threshold value, taking the electric quantity percentage as the calibration initial electric quantity, and obtaining the battery end voltage at a first moment; acquiring a preset cut-off voltage corresponding to zero electric quantity of the target equipment; according to the calibration initial electric quantity, the calibration initial voltage, the zero electric quantity and the cut-off voltage, coefficients of a preset electric quantity and voltage linear formula are solved, and a target coefficient is obtained; calculating the battery capacity at the second moment; acquiring the electric quantity of the target equipment at the current moment; calculating the ratio of a first difference value between the battery end voltage and the cut-off voltage at the first moment to a second difference value between the battery end voltage and the cut-off voltage at the current moment; through the ratio obtained through calculation, weighted summation is carried out on the battery electric quantity at the second moment and the electric quantity at the current moment, the calibrated electric quantity is obtained, and the accuracy of electric quantity detection can be improved.

The invention discloses a novel electric power system energy storage capacity demand calculation method applied to electric power supply guarantee, and relates to the technical field of electric power systems. Calculating to obtain a maximum value and a minimum value of the energy storage capacity demand; setting the calculation initial value of the actual energy storage capacity demand as a minimum value, substituting the minimum value into the actual energy storage capacity, simulating the electric quantity carrying process of the energy storage, and calculating the remaining electric quantity vacancy of the system; by adding an iterative calculation mode of an actual energy storage capacity calculation value, the obtained critical energy storage capacity when the remaining electric quantity vacancy of the system is smaller than zero is the actual energy storage capacity demand of the novel power system. According to the method, the energy storage capacity demand of the high-proportion new energy power system for jointly playing a multi-day power supply guarantee role by matching the stored energy with the new energy is accurately calculated, and a new technical enlightenment is provided for realizing reasonable planning and layout of the energy storage type power supply.