Loop operation customer charge settlement method and system using crossing power

Abstract

The application belongs to the technical field of power system quantity fee settlement, and provides a loop closing operation customer quantity fee settlement method and system applying through power, which firstly carries out outlier detection and elimination processing, smoothing processing and missing value processing on multi-point acquisition curve table code data; then, using the processed data, daily clearing electric quantity of each preset time is calculated, daily clearing cumulative electric quantity is taken as final settlement electric quantity of monthly electric fee settlement, and a preset multiple of daily clearing electric quantity maximum value is taken as maximum demand quantity of transmission and distribution demand quantity electric fee; through establishing daily clearing, monthly cumulative quantity fee settlement mode, using multi-point acquisition curve table code data, preset time daily clearing electric quantity is calculated, when monthly electric fee settlement is carried out, daily clearing cumulative electric quantity is taken as final settlement electric quantity, and a preset multiple of daily clearing electric quantity maximum value is taken as maximum demand quantity of transmission and distribution demand quantity electric fee, so as to meet the precise and automatic settlement operation demand of through power customers.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power system quantity settlement, and particularly relates to a method and system for ring closing operation customer quantity settlement by applying through power. BACKGROUND

[0002] In a power system, 220kV large industrial users usually adopt a dual power supply mode, and dual power supply ring closing operation is a common operation mode. Ring closing operation of a substation and line interconnection ring closing operation between a power line and an enterprise line also exist. When ring closing operation provides power supply to substations or users of the same voltage level through a high-voltage bus, through power is generated. At present, there are many problems in quantity settlement for customers with through power.

[0003] Due to a fixed settlement period and a simple calculation method, the traditional electricity settlement mode is difficult to accurately track the complex power flow. In the scenario involving through power, different types of metering devices of multiple substations need to work cooperatively. The metering devices of customers of different substations are different in manufacturer, technical parameter, and accuracy level, which leads to a large error in data acquisition. Meanwhile, data transmission needs to pass through multiple links, from metering devices to data acquisition terminals, and then to a higher-level data processing center. Data loss and delay may occur at each link. In the case of abnormal ring current, the actual power flow cannot be accurately captured, resulting in a deviation between the recorded power of an electric meter and the actual power, affecting the accuracy of power acquisition, and further affecting subsequent metering and accounting work. The previous metering mode mainly adopts a monthly forward and reverse power metering mode. Since the power change in the process is ignored, the calculation result usually has a large error, which is not conducive to accurate metering and fee calculation. SUMMARY

[0004] To solve the above problems, the application provides a method and system for ring closing operation customer quantity settlement by applying through power. The application establishes a daily clearing and monthly cumulative quantity settlement mode, uses multi-point acquisition curve table code data to calculate daily clearing power, and takes the daily clearing cumulative power as the final settlement power and a preset multiple of the maximum daily clearing power as the maximum demand power for transmission and distribution in monthly electricity settlement, thereby meeting the needs of precise and automated settlement operation of customers with through power.

[0005] To achieve the above purpose, the application is implemented by the following technical scheme:

[0006] In a first aspect, the application provides a method for ring closing operation customer quantity settlement by applying through power, comprising:

[0007] Obtaining multi-point acquisition curve table code data of the loop closing operation customer;

[0008] Performing outlier detection and elimination processing, smoothing processing and missing value processing on the multi-point acquisition curve table code data;

[0009] Using the processed data, calculating daily clearing capacity of each preset time, taking the daily clearing cumulative capacity as the final settlement capacity of the monthly electricity bill, and taking the preset multiple of the maximum daily clearing capacity as the maximum demand of the transmission and distribution demand capacity electricity bill.

[0010] Further, the power data is collected from the loop closing operation substation, the high voltage bus of the customer and the same voltage level substation or the metering point of the customer.

[0011] Further, 96-point acquisition curve table code data of the loop closing operation customer is obtained, that is, power data is collected every 15 minutes.

[0012] Further, the multi-point acquisition curve table code data includes active power, reactive power, voltage, current and time stamp information.

[0013] Further, the first quartile and the third quartile of the active power or reactive power data are determined, and then the interquartile range is obtained; the outliers are determined according to the interquartile range and eliminated.

[0014] Further, the moving average method is used, the moving window size is set, for the active power or reactive power value of each time point, the average value of the current time point and a preset number of historical time points is used to replace, and smoothing processing is realized.

[0015] Further, if there is a voltage or current data missing situation, linear interpolation method is used for filling, according to the adjacent known time current or voltage value, the missing time value is calculated according to the time interval ratio.

[0016] Further, the power consumption calculation on the power supply side includes:

[0017] Calculate the 15-minute capacity of the metering point:

[0018] ;

[0019] Wherein, is the daily clearing capacity of 15 minutes; is the average active power in 15 minutes; is the time interval;

[0020] User 15-minute power consumption calculation: power consumption = Q1+Q2+Q3+Q4+……QX;

[0021] Q=(LI 15min positive electric quantity+L2 15min positive electric quantity+L3 15min positive electric quantity+…+LN 15min positive electric quantity)-(LI 15min reverse electric quantity+L2 15min reverse electric quantity+L3 15min reverse electric quantity+…+LN 15min reverse electric quantity);

[0022] Wherein, LI, L2…LN represent each line at the metering point; X represents the effective record number of 15-minute daily clearing electric quantity per day; 15min electric quantity is the electric quantity value generated in the same 15min time period.

[0023] Further, the daily clearing electric quantity of 96 time points per day is summarized to obtain the total daily clearing electric quantity per day:

[0024]

[0025] Wherein, is the daily clearing electric quantity per day; is the 15-minute daily clearing electric quantity; the daily clearing electric quantity is accumulated to obtain the monthly cumulative electric quantity:

[0026]

[0027] Wherein, is the monthly cumulative electric quantity; is the daily clearing electric quantity of the dth day; N is the number of days in the month.

[0028] Further, the maximum value is extracted from the 96 daily clearing electric quantities per day, and is recorded as The maximum demand of the maximum daily clearing electric quantity is 4 times the demand of the power supply:

[0029] The maximum demand value=max(Q1, Q2, Q3, Q4, …, QX) / (15 / 60);

[0030] P=W / t=the maximum electric quantity value in the whole month of 15 minutes / (15 / 60), that is, the maximum average power value in the whole month of 15min;

[0031] Wherein, P is the maximum average power in the whole month of 15-minute time period; W is the maximum electric quantity in the whole month of 15-minute time period.

[0032] Further, the on-grid electric quantity is F1+F2+F3+F4+…FX;

[0033] ​​F=(LI 15min positive electric quantity+L2 15min positive electric quantity+L3 15min positive electric quantity+LN 15min positive electric quantity)-(LI 15min reverse electric quantity+L2 15min reverse electric quantity+L3 15min reverse electric quantity+LN 15min reverse electric quantity).

[0034] In a second aspect, the application further provides a loop operation customer tariff settlement system using the crossing power, comprising:

[0035] A data acquisition module is configured to acquire multi-point acquisition curve table code data of the loop operation customer.

[0036] A data processing module is configured to perform outlier detection and rejection processing, smoothing processing and missing value processing on the multi-point acquisition curve table code data.

[0037] A settlement module is configured to calculate daily clearing electric quantity using the processed data, take daily clearing cumulative electric quantity as final settlement electric quantity of monthly electric tariff settlement, and take a preset multiple of the maximum daily clearing electric quantity as the maximum demand of transmission and distribution demand electric tariff.

[0038] In a third aspect, the application further provides a computer readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the steps of the loop operation customer tariff settlement method using the crossing power according to the first aspect.

[0039] In a fourth aspect, the application further provides an electronic device comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, the processor executing the program to implement the steps of the loop operation customer tariff settlement method using the crossing power according to the first aspect.

[0040] In a fifth aspect, the application further provides a computer program product comprising a computer program, the computer program being executed by a processor to implement the steps of the loop operation customer tariff settlement method using the crossing power according to the first aspect.

[0041] Compared with the prior art, the application has the following beneficial effects:

[0042] 1. The present application firstly detects and removes outliers, smooths and handles missing values of the multi-point collected curve table code data; then, using the processed data, calculates the daily clearing electric quantity of each preset time, takes the daily clearing cumulative electric quantity as the final settlement electric quantity of the monthly electric fee settlement, and takes the preset multiple of the maximum daily clearing electric quantity as the maximum demand of the transmission and distribution demand electric fee; by establishing the settlement mode of daily clearing and monthly cumulative, using the multi-point collected curve table code data, calculating the daily clearing electric quantity of the preset time, taking the daily clearing cumulative electric quantity as the final settlement electric quantity in the monthly electric fee settlement, and taking the preset multiple of the maximum daily clearing electric quantity as the maximum demand of the transmission and distribution demand electric fee, the precise and automatic settlement operation demand of the through power customer is met.

[0043] 2. Through the outlier processing and smoothing optimization of the multi-point collected curve table code data, the present application can effectively remove the interference of the through power on the metering data, ensure the accuracy of the electric quantity statistics, combine the daily clearing electric quantity accumulation mechanism, directly take the time-of-use metering result as the basis for the monthly settlement, meet the fine settlement trend of the power market; taking the preset time as a unit to calculate the daily clearing electric quantity can capture the power supply and demand changes in time, and the design of the daily clearing peak value multiple for the maximum demand can not only reflect the actual occupation of the transmission and distribution capacity, but also guide the user to optimize the power utilization behavior; the outlier detection and missing value processing mechanism can identify the metering equipment failure or communication anomaly, avoid the influence of the error data on the settlement result, and meet the demand of the power market for traceable and checkable metering data.

[0044] 3. The present application takes the preset multiple of the maximum daily clearing electric quantity as the maximum demand of the transmission and distribution demand electric fee, can more truly reflect the instantaneous impact load of the loop closing operation customer on the transmission and distribution network, and avoid the underestimation problem of the capacity occupation caused by the smoothing processing of the traditional monthly maximum demand; through the 15-minute granularity daily clearing electric quantity monitoring, the user can master the load characteristics in real time, and actively adjust the production plan to reduce the peak demand; combined with the daily clearing electric quantity data and the demand multiple rules, the interference of the through power on the metering data can be accurately identified, and the electric fee allocation dispute caused by the loop closing operation can be avoided.

[0045] 4. The present application uses the 96-point collected curve table code data collected once every 15 minutes to accurately capture the subtle changes of the power flow in different periods, so that the electric fee calculation is no longer limited to the traditional rough estimation, but is based on the actual power utilization of the customer to accurately calculate the power utilization and on-grid power, perfectly meets the complex and changeable settlement demand of the through power customer, effectively avoids the electric fee calculation deviation caused by the rough calculation method due to the fluctuation of the power flow, and ensures the scientificity and fairness of the electric fee settlement. BRIEF DESCRIPTION OF DRAWINGS

[0046] The accompanying drawings, which form a part of this specification, are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification. The embodiments of these drawings are shown by way of illustration of the embodiments of the application, and do not constitute an improper limitation on the embodiments of the application.

[0047] Figure 1 Flow chart for the method of embodiment 1 of the application;

[0048] Figure 2 Special formula table configuration example for embodiment 1 of the application.

[0049] Figure 3 96-point metering data example for embodiment 1 of the application. DETAILED DESCRIPTION

[0050] The application will be further described below with reference to the drawings and embodiments.

[0051] It should be noted that the following detailed description is exemplary in nature and is intended to provide further description of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0052] Embodiment 1:

[0053] As described in the background art, at present, there are many problems in the settlement of the quantity fee (electricity quantity and electricity fee) of the crossing power customer:

[0054] Power flow dynamic change: The crossing power is jointly affected by many complex factors such as power grid operation state, load change, new energy access, etc. In the process of power grid operation, such as line maintenance, equipment failure, etc., the power grid structure will change, and then the size and direction of the crossing power will be affected. Load change presents obvious randomness and periodicity, in the peak period of electricity consumption, the load increases sharply, and the crossing power also fluctuates greatly; in the valley period of electricity consumption, the load decreases, and the crossing power also decreases accordingly. In addition, with the large-scale access of solar energy, wind energy and other new energy to the power grid, the intermittency and uncertainty of power generation further aggravate the real-time fluctuation of power flow. The traditional electricity fee settlement method, due to its fixed settlement period and simple calculation method, is difficult to accurately track such complex and changeable power flow.

[0055] Complex metering collection relationship: In scenarios involving cross-power, multiple substations and different types of metering equipment need to work together. Different substations and customers' metering equipment, their manufacturers, technical parameters, and accuracy levels are all different, which leads to a large error in the data collection process. At the same time, since data transmission needs to go through multiple links, from metering equipment to data collection terminals, and then to higher-level data processing centers, data loss and delay may occur at each link. The accumulation of these errors and delays makes it difficult for the final data obtained to truly reflect the actual use of electricity.

[0056] Loop operation leads to inaccurate power measurement: When loop operation occurs, there is a cross-power between grid power and grid-connected power. Loop current causes the current path to be disordered, and part of the current deviates from the conventional measurement path and flows in a roundabout way between different lines and equipment. The metering device is designed based on the normal current flow direction and power transmission mode, and under abnormal loop conditions, it cannot accurately capture the actual power flow, resulting in a deviation between the recorded power of the meter and the actual power, affecting the accuracy of power collection, and further affecting subsequent measurement and accounting work, making it impossible to truly reflect the operation of the power system, which may cause errors in electricity settlement and even affect the supply and demand balance analysis and dispatching decision of the power system. The traditional measurement method mainly uses monthly forward and reverse power measurement methods, which usually have large errors due to the neglect of power changes during the process, which is not conducive to accurate measurement and fee calculation

[0057] Manual settlement workload is large: Due to the above-mentioned dynamic changes of power flow and the complex relationship of metering collection, manual settlement requires a large amount of manpower and time. Staff not only need to collect, organize and check a large amount of power data, but also need to perform complex calculations according to different billing rules. In this process, errors caused by human factors are difficult to avoid, such as data entry errors and calculation errors. Moreover, the efficiency of manual settlement is low, which cannot meet the needs of the rapid development of the electricity market.

[0058] With the continuous development of the electricity market, especially the introduction of spot trading, higher requirements are placed on the efficiency and accuracy of electricity settlement. The traditional settlement mode is obviously unable to adapt to this new market environment, seriously hindering the smooth progress of electricity trading.

[0059] In order to solve at least one of the above problems, the present embodiment provides a loop closing operation customer power fee settlement method using cross-power to solve the problems of dynamic tracking of power flow, complex metering collection relationship, inaccurate power measurement caused by loop operation, and large workload of manual settlement in existing cross-power customer power fee settlement, so as to realize accurate and automated electricity settlement, reduce the workload of manual settlement, improve work quality and efficiency, and meet the development needs of the electricity market.

[0060] It should be noted that the method in this embodiment is not directly applied to the conventional functions of the marketing 2.0 system, but is modified according to the particularity of the power crossing loop operation scenario. By establishing a 15-minute level quantity fee settlement mode of "daily clearing and monthly accumulation", using 96-point acquisition curve table code data, in the calculation of daily clearing power of each 15 minutes, the rule of "forward power sum minus reverse power sum and negative value zero" is adopted (eliminate the interference of reverse power caused by loop current); in monthly settlement, the daily clearing accumulated power processed by the above rule is taken as the final settlement power, and for the non-real load fluctuation caused by the crossing power, 4 times of the maximum value of the daily clearing power is taken as the maximum demand of the transmission and distribution demand. Through these adaptive improvements, the marketing 2.0 system can accurately capture the real power characteristics under the crossing power, so as to realize the accurate and automatic settlement of the loop operation customer quantity fee.

[0061] Relying on the marketing 2.0 system, the 96-point acquisition curve table code data of the loop operation customer is collected in real time to ensure the accuracy and real-time of the data. The specific data collection process is as follows:

[0062] S1.1, data source:

[0063] The power data is collected from the loop operation substation, the high-voltage bus of the customer and the same voltage level substation or the metering point of the customer; the above metering points are distributed in various key positions, which can comprehensively and accurately capture the power parameter changes involved in the crossing power. In order to ensure the reliability of the data, high-precision metering equipment is selected, and these equipment are calibrated and maintained regularly to ensure that they are always in the best working condition.

[0064] S1.2, collection frequency:

[0065] 96-point acquisition curve table code data is used, that is, power data is collected every 15 minutes (96 time points in 24 hours), to ensure the real-time and continuity of the data. This high-frequency data collection method can effectively capture the dynamic changes of power flow, providing a solid data foundation for subsequent accurate power calculation.

[0066] S1.3, data type:

[0067] The collected data includes active power, reactive power, voltage, current and time stamp information. Rich data types can comprehensively reflect the operation state of the power system, and time stamp information can accurately record the collection time of each data point, which is convenient for subsequent data sorting and analysis. In the data collection process, different types of data are classified and labeled for efficient processing by the system.

[0068] S1.4, data processing:

[0069] To improve the accuracy of active power, reactive power, voltage, current and other parameters, the following corrections are made after data collection:

[0070] S1.4.1 Improvement of active power and reactive power data processing method:

[0071] Outlier detection and elimination: Based on the interquartile range (IQR), first calculate the first quartile (Q1) and the third quartile (Q3) of the active power or reactive power data, and then obtain IQR = Q3 - Q1. Values less than Q1 - 1.5*IQR or greater than Q3 + 1.5*IQR in the data are determined as outliers. In addition, based on the outlier detection method based on the interquartile range (IQR), a dynamic threshold adjustment mechanism is introduced. According to the historical fluctuation data of active power and reactive power during the closing operation, a fluctuation model is established to calculate the reasonable fluctuation range in real time, and then the threshold of IQR (i.e. 1.5 times IQR can be dynamically adjusted between 1.2-1.8 times according to the fluctuation) is dynamically adjusted.

[0072] Data smoothing: Use the moving average method of adaptive moving window. By monitoring the change rate of active power and reactive power in real time, when the change rate is small, a larger window size (such as n = 7) is used to achieve better smoothing effect; when the change rate is large, the window size is automatically reduced (such as n = 3) to quickly respond to power changes and reduce the lag of smoothing processing, so that the processed data can better reflect the real dynamics of power. For each time point of active power or reactive power value, use the average value of the data at this time point and its previous n-1 time points to replace it.

[0073] S1.4.2 Improvement of voltage and current data processing method:

[0074] Missing value processing: If there is missing voltage or current data, first determine the system operating state before and after the missing data. If it is in a stable operation stage, linear interpolation method can be used for filling, according to the adjacent known time of current or voltage value, according to the time interval ratio to calculate the missing time value; if it is in a larger fluctuation stage, a quadratic interpolation model is established to improve the accuracy of missing value filling. Error correction: Considering that there may be system errors in the measurement process of voltage and current, comparison with high-precision standard table measurement value can be made.

[0075] S2, calculation of power consumption on the power supply side:

[0076] 15-minute daily clear energy calculation: The energy is divided according to high-frequency periods, which is more accurate than traditional rough statistics, and adapts to short-term power fluctuations caused by crossing power.

[0077] Positive and negative energy separation and negative value zeroing: Q value calculation distinguishes between positive (using the network) and negative (sending power) energy, and negative values are recorded as 0 to avoid current caused by crossing power leading to energy offset or miscounting.

[0078] Flexible demand calculation: Based on 15-minute maximum energy conversion demand (rather than traditional fixed methods), it can be adapted to non-real load peaks caused by crossing power during loop operation through parameter correction.

[0079] Multi-metering point adaptation: Supports multi-line (L1~LN) data aggregation, which can adapt to multi-metering scenarios during loop operation and exclude abnormal data interference.

[0080] These improvements focus on high-frequency granularity, direction differentiation, and flexible correction to solve the measurement distortion problem caused by crossing power and ensure accurate customer billing.

[0081] S2.1, daily clear network energy calculation:

[0082] 1) 15-minute energy calculation at the metering point: Daily clear energy refers to the 15-minute clear division result of daily energy, and the calculation process is as follows:

[0083]

[0084] Where, is the 15-minute daily clear energy; is the average active power in this 15-minute period; is the time interval, i.e. 15 minutes.

[0085] This algorithm calculates energy based on the product of power and time, which can accurately reflect the power consumption in each 15-minute period.

[0086] 2) User 15-minute network energy calculation: Network energy = Q1+Q2+Q3+Q4+……QX (Q only takes >0 values, X≤2976) (calculated for 31 days in a month);

[0087] Q=(LI 15min positive energy+LI 15min positive energy+L3 15min positive energy……+LN 15min positive energy)-(LI 15min negative energy+L2 15min negative energy+L3 15min negative energy......+LN 15min negative energy)。

[0088] Wherein, 15min electric quantity is the electric quantity value generated in the same 15min time period. If the Q value is positive, it means that the power is mainly used for network power consumption. If it is negative, it means that the power is sent in reverse, and the negative value is recorded as 0.

[0089] 3) Daily clear electric quantity summary: The daily clear electric quantity of 96 time points is summarized to obtain the total daily clear electric quantity of each day:

[0090]

[0091] Wherein, is the daily clear electric quantity; is the 15-minute-level daily clear electric quantity. The calculation method of positive and negative peak, peak, flat and valley electric quantity is the same.

[0092] S2.2, monthly network power consumption calculation:

[0093] The monthly electric quantity is the basic data for monthly electric fee settlement, and its calculation process is as follows:

[0094] 1) The daily clear electric quantity is accumulated to obtain the monthly cumulative electric quantity. The specific formula is:

[0095]

[0096] Wherein, is the monthly cumulative electric quantity; is the daily clear electric quantity of the dth day; N is the number of days in the month.

[0097] In the actual calculation process, considering the difference in the number of days in different months, the system can automatically identify the number of days in the month and perform corresponding calculation. At the same time, in order to prevent data overflow, data type conversion and range check are performed on the data in the calculation process to ensure the stability of the calculation.

[0098] 2) Settlement electric quantity determination: The monthly cumulative electric quantity is taken as the final settlement electric quantity for electric fee calculation.

[0099] S2.3, maximum demand calculation: The maximum demand is a key parameter for power transmission and distribution demand electric fee calculation, and the 4 times of the maximum value of daily clear electric quantity is taken as the maximum demand for power transmission and distribution demand electric fee.

[0100] 1) Daily clear electric quantity maximum value extraction: The maximum value of 96 daily clear electric quantities of each day is extracted, denoted as ;

[0101] 2) Maximum demand calculation: The 4 times of the maximum value of daily clear electric quantity is taken as the maximum demand for power transmission and distribution demand electric fee. The specific formula is:

[0102] Maximum demand value = max (Q1, Q2, Q3, Q4, … QX) / (15 / 60);

[0103] P = W / t = the maximum power value in the whole month of 15 minutes / (15 / 60), that is, the maximum average power value in the whole month of 15 minutes.

[0104] 3) Demand charge calculation: according to the maximum demand and the power transmission and distribution price, the power transmission and distribution demand charge is calculated. In the calculation process, considering the differences in power transmission and distribution prices in different regions and different customer types, the system can automatically match the corresponding price according to the specific information of the customer and accurately calculate it.

[0105] S3, on the electricity purchase side, the online electricity quantity is calculated:

[0106] Online electricity quantity = F1+F2+F3+F4+…FX (F only takes <0 value, X≤2976) (calculated for 31 days in a month) (electricity quantity takes absolute value);

[0107] F = (LI 15min positive electricity quantity + L2 15min positive electricity quantity + L3 15min positive electricity quantity…+LN 15min positive electricity quantity) - (LI 15min negative electricity quantity + L2 15min negative electricity quantity + L3 15min negative electricity quantity…+LN 15min negative electricity quantity).

[0108] Wherein, 15min electricity quantity is the electricity quantity value generated in the same 15min time period. The subsequent daily settlement, monthly settlement and peak-valley electricity quantity calculation process is the same as above.

[0109] S4, automation processing:

[0110] The above algorithm is solidified into marketing 2.0 system to realize the automation processing of electricity settlement, reduce manual intervention and improve settlement efficiency.

[0111] Table 1 Special formula explanation

[0112]

[0113] Special formula refers to the electricity quantity calculation rules or algorithms that are different from the regular electricity settlement for special users. Its core function is to solve the problem that the regular algorithm is not applicable due to the limited metering conditions of special users (such as electricity quantity crossing, multi-line complex metering, etc.), which is realized through the parameter configuration in the “special user classification table” and “special user classification parameter table”.

[0114] Automatic data acquisition and calculation: the system automatically acquires 96-point data and calculates daily settlement electricity quantity, monthly cumulative electricity quantity and maximum demand electricity quantity by using algorithm formula.

[0115] Anomaly Handling and Alarms: The system monitors the data acquisition and calculation process in real time, automatically alarming and logging when anomalies are detected. A comprehensive anomaly handling mechanism is established, enabling the system to automatically repair or take appropriate remedial measures for common anomalies such as data loss and calculation errors. Simultaneously, anomaly information is promptly notified to relevant technical personnel for further processing and analysis.

[0116] This embodiment uses a certain limited company as an example. Due to the 220kV circulating current operation, there is power flow between the electricity consumed by the grid and the electricity supplied to the grid, making it impossible for the metering device to measure accurately. Therefore, the metering and calculation method in this embodiment is used to calculate the electricity consumption. There are a total of 4 meters, all of which are main meters. The meter information is as follows:

[0117] Table 2 Metering Information

[0118]

[0119] The data acquisition system extracts 96 data points from the four main meters (once every fifteen minutes), calculates the electricity consumption using a special formula, and then stores the electricity consumption data on the left iron wire meter.

[0120] 1. Calculation method:

[0121] (1) Electricity consumption = Q1 + Q2 + Q3 + Q4 + ... + QX (Q only takes values ​​> 0, X ≤ 2976) (calculated based on 31 days in a month);

[0122] Q = (15-minute forward charge of Lanzhu Line + 15-minute forward charge of Beitie Line + 15-minute forward charge of Shanzuo Line + 15-minute forward charge of Zuotie Line) - (15-minute reverse charge of Lanzhu Line + 15-minute reverse charge of Beitie Line + 15-minute reverse charge of Shanzuo Line + 15-minute reverse charge of Zuotie Line); The 15-minute charge refers to the charge generated within the same 15-minute time period.

[0123] (2) Internet usage = F1 + F2 + F3 + F4 + ... + FX (F only takes values ​​< 0, X ≤ 2976) (calculated based on 31 days in a month);

[0124] F = (15-minute forward charge of Lanzhu Line + 15-minute forward charge of Beitie Line + 15-minute forward charge of Shanzuo Line + 15-minute forward charge of Zuotie Line) - (15-minute reverse charge of Lanzhu Line + 15-minute reverse charge of Beitie Line + 15-minute reverse charge of Shanzuo Line + 15-minute reverse charge of Zuotie Line); The 15-minute charge refers to the charge generated within the same 15-minute time period.

[0125] 2. The calculation methods for forward and reverse peaks, flat areas, and valleys are the same.

[0126] 3. The maximum demand value = max (Q1, Q2, Q3, Q4, … QX) / (15 / 60);

[0127] P = W / t = the maximum power value in the whole month of 15 minutes / (15 / 60), that is, the maximum average power value in the whole month of 15 minutes.

[0128] The daily clearing hour power is calculated by the above formula to obtain the cumulative value of each hour, and the monthly settlement power is calculated according to the cumulative value of the daily clearing power. After the power is calculated by the special formula, the power is uniformly placed in the metering point of the left iron wire meter.

[0129] The meter reading calculation mode in the system is: the first step is 96-point meter reading data summary; the second step is user daily clearing settlement power calculation, as shown in Tables 3-5.

[0130] Table 3: User 96-point meter reading power example

[0131]

[0132] Table 4: User daily clearing power settlement power example

[0133]

[0134] Table 5: User daily clearing power settlement power example

[0135]

[0136] The monthly settlement power is calculated according to the cumulative value of the daily clearing power. After the power is calculated by the special formula, the power is uniformly placed in the metering point of the left iron wire meter.

[0137] In summary, in terms of realizing accurate settlement, the embodiment relies on advanced technical architecture and real-time data acquisition system, and can track the dynamic changes of power flow in all directions and in real time. With 96-point acquisition curve table code data collected every 15 minutes, the subtle changes of power flow in different periods can be accurately captured. This makes the electricity fee calculation no longer limited to traditional rough estimation, but accurate electricity consumption and on-grid power accounting according to the actual electricity consumption of customers, perfectly meeting the complex and changing settlement needs of the power customers, effectively avoiding the electricity fee calculation deviation caused by the fluctuation of power flow and the rough calculation method, and ensuring the scientificity and fairness of the electricity fee settlement.

[0138] The embodiment reduces manual workload, and through the automation processing realized by the marketing 2.0 system, the entire process from data collection, calculation to bill generation almost does not need excessive manual intervention. The automated data collection avoids errors that may occur in manual meter reading, and the automatic calculation of the algorithm formula eliminates the mistakes in manual calculation, thereby greatly reducing the probability of human error. The automation of electricity settlement not only improves the accuracy of settlement, but also enhances the stability of the settlement process, enabling power enterprises to invest more manpower and energy into more valuable business expansion and customer service.

[0139] From the perspective of improving work quality and efficiency, since the application of the method of the embodiment, the results have been remarkable. The daily average electricity settlement manpower time is reduced by 2.5 hours, which means that power enterprises have achieved significant reduction in labor costs. At the same time, the efficiency of spot transaction electricity settlement is improved by 90%, which directly reflects the efficiency of the invention technology in handling complex power transactions. The originally tedious and lengthy settlement process has now become fast and convenient, greatly improving the operational efficiency of power enterprises, speeding up the collection of funds, reducing operating costs, and making the enterprise more competitive in the market.

[0140] In terms of quickly adapting to the development of the electricity market, the embodiment has shown strong flexibility and adaptability. With the continuous development of spot transactions in the electricity market, the requirements for electricity settlement are becoming increasingly stringent. The embodiment, with its advanced technology and innovative concept, can effectively cope with the complex and variable demands in spot transactions. Whether it is the fluctuation of real-time electricity prices or the calculation of electricity quantity in different transaction periods, it can quickly respond and accurately complete the settlement task. This not only improves the competitiveness of power enterprises in spot transactions, but also provides strong support for the healthy and stable development of the entire electricity market, promoting the optimal allocation and efficient use of power resources. At the same time, the method in the embodiment is also applicable to users equipped with self-provided power plants, clean energy power generation equipment, and other users with both grid electricity consumption and grid electricity supply, facilitating the rapid development of clean energy and the green transformation of enterprise energy use.

[0141] Embodiment 2:

[0142] The embodiment provides a loop operation customer quantity fee settlement system applying through power, comprising:

[0143] The data acquisition module is configured to acquire multi-point acquisition curve table code data of the loop operation customer;

[0144] The data processing module is configured to perform outlier detection and rejection processing, smoothing processing, and missing value processing on the multi-point acquisition curve table code data;

[0145] The settlement module is configured to: calculate daily clearing power for each preset time, take daily clearing cumulative power as final settlement power for monthly electricity fee settlement, and take a preset multiple of the maximum daily clearing power as maximum demand for power supply and distribution demand charge.

[0146] The working method of the system is the same as the loop operation customer charge settlement method of the application of crossing power in Embodiment 1, mainly including:

[0147] S1, data acquisition and processing:

[0148] Relying on the marketing 2.0 system, the 96-point acquisition curve table code data of the loop operation customer is collected in real time, and the accuracy and real-time of the data are ensured. The specific data acquisition process is as follows:

[0149] S1.1, data source:

[0150] The power data is collected from the loop operation substation, the high-voltage bus of the customer and the same voltage level substation or the metering point of the customer; the above metering points are distributed in various key positions, which can comprehensively and accurately capture the changes of the power parameters involved in the crossing power. In order to ensure the reliability of the data, high-precision measuring equipment is selected, and these equipment is calibrated and maintained regularly to ensure that they are always in the best working condition.

[0151] S1.2, acquisition frequency:

[0152] 96-point acquisition curve table code data is used, that is, power data is collected every 15 minutes (96 time points in 24 hours), to ensure the real-time and continuity of the data. This high-frequency data acquisition method can effectively capture the dynamic changes of power flow and provide a solid data foundation for subsequent accurate electricity calculation.

[0153] S1.3, data type:

[0154] The collected data includes active power, reactive power, voltage, current and other power parameters, as well as timestamp information. Rich data types can comprehensively reflect the operation state of the power system, and timestamp information can accurately record the collection time of each data point, which is convenient for subsequent data sorting and analysis. In the data acquisition process, different types of data are classified and labeled to facilitate efficient processing by the system.

[0155] S1.4, data processing:

[0156] In order to improve the accuracy of active power, reactive power, voltage, current and other parameters, the following corrections are made after data collection:

[0157] S1.4.1, active power and reactive power data processing:

[0158] Outlier detection and removal: The interquartile range (IQR) method is used. First, the first quartile (Q1) and the third quartile (Q3) of the active power or reactive power data are calculated, and then IQR = Q3-Q1 is obtained. Values less than Q1-1.5*IQR or greater than Q3+1.5*IQR in the data are determined as outliers and removed.

[0159] Data smoothing: Moving average method is used, and the moving window size is set to n (determined according to data fluctuation, such as n = 5). For the active power or reactive power value at each time point, the average value of the data at this time point and its previous n-1 time points is used to replace it.

[0160] S1.4.2, Voltage and current data correction:

[0161] Missing value processing: If there is missing voltage or current data, linear interpolation method can be used to fill in the missing values according to the adjacent known current or voltage values at the time interval.

[0162] Error correction: Considering the possible system error in voltage and current measurement, comparison with high-precision standard table measurement value can be made.

[0163] S1.5, Data storage: The collected data is stored in the database of marketing 2.0 system for subsequent calculation and analysis.

[0164] S2, Retail side of the grid electricity consumption calculation:

[0165] S2.1, Daily grid electricity consumption calculation:

[0166] 1) 15-minute metering point electricity calculation: Daily grid electricity is the 15-minute electricity settlement result per day, and its calculation process is as follows:

[0167]

[0168] Where, is the 15-minute daily grid electricity; is the average active power in this 15-minute period; is the time interval, i.e. 15 minutes.

[0169] This algorithm calculates the electricity based on the product of power and time, which can accurately reflect the electricity consumption in each 15-minute period.

[0170] 2) User 15-minute grid electricity consumption calculation: Grid electricity consumption = Q1+Q2+Q3+Q4+……QX (Q only takes >0 value, X≤2976) (calculated for 31 days in a month);

[0171] Q = (LI 15min positive electric quantity + L2 15min positive electric quantity + L3 15min positive electric quantity +... + LN 15min positive electric quantity) - (LI 15min reverse electric quantity + L2 15min reverse electric quantity + L3 15min reverse electric quantity +... + LN 15min reverse electric quantity).

[0172] Wherein, 15min electric quantity is the electric quantity value generated in the same 15min time period. If the Q value is positive, it is equivalent to mainly using network electricity, and if it is negative, it is equivalent to reverse power transmission, and the negative value is recorded as 0.

[0173] 4) Daily clearing electric quantity summary: the daily 96 time point daily clearing electric quantity is summarized to obtain the total daily clearing electric quantity of each day:

[0174]

[0175] Wherein, is the daily clearing electric quantity; is the 15min level daily clearing electric quantity. The calculation method of positive and negative peak, peak, flat and valley electric quantity is the same.

[0176] S2.2, monthly network electricity consumption calculation:

[0177] The monthly electric quantity is the basic data for monthly electric fee settlement, and its calculation process is as follows:

[0178] 1) The daily daily clearing electric quantity is accumulated to obtain the monthly cumulative electric quantity. The specific formula is:

[0179]

[0180] Wherein, is the monthly cumulative electric quantity; is the daily clearing electric quantity of the dth day; N is the number of days in the month.

[0181] In the actual calculation process, considering the difference of the number of days in different months, the system can automatically identify the number of days in the month and perform corresponding calculation. At the same time, in order to prevent data overflow, data type conversion and range check are performed on the data in the calculation process, to ensure the stability of the calculation.

[0182] 2) Settlement electric quantity determination: the monthly cumulative electric quantity is taken as the final settlement electric quantity, which is used for electric fee calculation.

[0183] S2.3, maximum demand calculation: the maximum demand is the key parameter for power transmission and distribution demand electric fee calculation, and the 4 times of the maximum value of daily clearing electric quantity is taken as the maximum demand of power transmission and distribution demand electric fee.

[0184] 1) Daily clearing electric quantity maximum value extraction: the maximum value is extracted from the 96 daily clearing electric quantities of each day, which is recorded as ;

[0185] 2) Maximum demand calculation: 4 times the daily maximum power is used as the maximum demand of the power supply. The specific formula is:

[0186] Maximum demand value = max (Q1, Q2, Q3, Q4, … QX) / (15 / 60);

[0187] P = W / t = maximum power value in 15 minutes of the whole month / (15 / 60), that is, the maximum average power value in 15 minutes of the whole month.

[0188] 3) Demand charge calculation: according to the maximum demand and the power supply price, the power supply demand charge is calculated. In the calculation process, considering the differences in power supply prices in different regions and different customer types, the system can automatically match the corresponding price according to the specific information of the customer and accurately calculate it.

[0189] S3, on-grid power calculation on the power purchase side:

[0190] On-grid power = F1 + F2 + F3 + F4 + … FX (F only takes <0 value, X≤2976) (calculated for 31 days in a month) (power takes absolute value);

[0191] F = (LI 15min positive power + L2 15min positive power + L3 15min positive power … + LN 15min positive power) - (LI 15min negative power + L2 15min negative power + L3 15min negative power … + LN 15min negative power).

[0192] Wherein, 15min power is the power value generated in the same 15min time period. The subsequent daily settlement, monthly settlement, and peak-valley power calculation process is the same as above.

[0193] S4, automation processing:

[0194] The above algorithm is solidified into the marketing 2.0 system to realize the automatic processing of electricity settlement, reduce manual intervention, and improve the settlement efficiency.

[0195] Embodiment 3:

[0196] The embodiment provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to realize the steps of the application of the loop operation customer power settlement method of the application of the loop operation customer power settlement method.

[0197] Embodiment 4:

[0198] The embodiment provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, and the processor implements the steps of the application of the loop operation customer quantity fee settlement method crossing power when executing the program.

[0199] Embodiment 5:

[0200] The embodiment provides a computer program product, the computer program product comprises a computer program, the computer program is executed by a processor, and the steps of the application of the loop operation customer quantity fee settlement method crossing power are realized.

[0201] The above merely provides the preferred embodiment of the embodiment, and is not used for limiting the embodiment. The embodiment can have various changes and changes for the person skilled in the art. Any modification, equivalent replacement, improvement and the like within the spirit and principle of the embodiment should be included in the protection scope of the embodiment.

Claims

1. A method for ring closing operation customer charge settlement using power crossing, characterized in that, The method comprises the following steps: Obtain the multi-point acquisition curve table code data of the loop operation customer; Perform outlier detection and elimination processing, smoothing processing and missing value processing on the multi-point acquisition curve table code data; Using the processed data, calculate the daily clearing capacity of each preset time, take the daily clearing cumulative capacity as the final settlement capacity for monthly electricity bill settlement, and take the preset multiple of the maximum daily clearing capacity as the maximum demand for power supply and distribution demand capacity electricity bill; The grid electricity quantity calculation on the power selling side comprises the following steps: Calculate the 15-minute electricity quantity of the metering point: ； wherein, is the daily net electricity consumption in 15-minute intervals; is the average active power in 15 minutes; is the time interval; the user's 15-minute net electricity consumption is calculated as follows: net electricity consumption = Q1+Q2+Q3+Q4+…+QX; Q= (LI 15min positive electricity quantity + LI 15min positive electricity quantity + L3 15min positive electricity quantity …… + LN 15min positive electricity quantity) - (LI 15min negative electricity quantity + L2 15min negative electricity quantity + L3 15min negative electricity quantity …… + LN 15min negative electricity quantity); Wherein, LI, L2 …… LN represent each line at the metering point; X represents the effective number of daily 15-minute level daily clearing capacity records; The 15-minute electricity quantity is the electricity quantity value generated in the same 15-minute time period; Summarize the daily clearing capacity of 96 time points per day to obtain the total daily clearing capacity per day: ； wherein, is the daily daytime electricity consumption; is the 15-minute level daytime electricity consumption; and the daily daytime electricity consumption is accumulated to obtain the monthly cumulative electricity consumption: ； wherein, is the monthly cumulative electricity amount; is the daily clear electricity amount on the dth day; N is the number of days in the month; The maximum value is extracted from the daily 96 daily clear power, recorded as ; 4 times the maximum value of daily clear power is used as the maximum demand of power supply demand charge The maximum demand value = max (Q1, Q2, Q3, Q4, …… QX) / (15 / 60); P = W / t = the maximum electricity consumption value in the whole month 15 minutes / (15 / 60), that is, the maximum average power value in the whole month 15 minutes; Wherein, P is the maximum average power in the whole month 15-minute time period; W is the maximum electricity consumption in the whole month 15-minute time period.

2. The method of claim 1, wherein the method is performed by a looped operation client fee settlement server. Collect electricity data from the loop operation substation, the high-voltage bus of the customer and the metering point of the same voltage level substation or customer.

3. The method of claim 2, wherein the method further comprises: determining whether the power of the power source is sufficient to operate the looped operation client; and if the power of the power source is not sufficient to operate the looped operation client, requesting the power source to increase the power of the power source. Obtain the 96-point acquisition curve table code data of the loop operation customer, that is, collect electricity data every 15 minutes.

4. The method of claim 3, wherein the method further comprises: determining whether the power of the power source is sufficient to operate the looped operation client; and if the power of the power source is not sufficient to operate the looped operation client, requesting the power source to increase the power of the power source. The multi-point acquisition curve table code data includes active power, reactive power, voltage, current and time stamp information.

5. The customer billing method for loop-connected operation using through-power as described in claim 1, characterized in that, Determine the first quartile and the third quartile of the active power or reactive power data, and then obtain the interquartile range; Determine the outliers according to the interquartile range and eliminate them.

6. The method of claim 5, wherein the method further comprises: determining whether the power of the power source is sufficient to operate the looped operation client; and if the power of the power source is not sufficient to operate the looped operation client, requesting the power source to increase the power of the power source. Using the moving average method, set the moving window size, for the active power or reactive power value of each time point, replace it with the average value of the current time point and a preset number of historical time points, and realize smoothing processing.

7. The customer billing method for loop-connected operation using through-power as described in claim 6, characterized in that, If there is a voltage or current data missing, use linear interpolation method to fill in, according to the adjacent known time of current or voltage value, according to the time interval ratio to calculate the missing time value.

8. The customer billing method for loop-connected operation using through-power as described in claim 1, characterized in that, The grid electricity quantity = F1 + F2 + F3 + F4 + …… FX; F= (LI 15min positive electricity quantity + L2 15min positive electricity quantity + L3 15min positive electricity quantity …… + LN 15min positive electricity quantity) - (LI 15min negative electricity quantity + L2 15min negative electricity quantity + L3 15min negative electricity quantity …… + LN 15min negative electricity quantity).

9. A system for billing a customer for a loop-up operation using power crossing, characterized by, The method comprises the following steps: The data acquisition module is configured to obtain the multi-point acquisition curve table code data of the loop operation customer; The data processing module is configured to perform outlier detection and elimination processing, smoothing processing, and missing value processing on the multi-point acquisition curve table code data. The settlement module is configured to calculate daily clearing power for each preset time, take the daily clearing cumulative power as final settlement power for monthly electricity fee settlement, and take a preset multiple of the maximum daily clearing power as maximum demand for power distribution demand charge. The power calculation on the power selling side includes: Calculate the 15-minute power of the metering point: ； wherein, is the daily clean energy in 15-minute intervals; is the average active power in 15 minutes; is the time interval; the user's 15-minute grid electricity consumption is calculated as: grid electricity consumption = Q1+Q2+Q3+Q4+…+QX; Q= (LI 15min positive power + LI 15min positive power + L3 15min positive power... + LN 15min positive power) - (LI 15min reverse power + L2 15min reverse power + L3 15min reverse power... + LN 15min reverse power); Wherein, LI, L2...LN represent each line at the metering point; X represents the effective number of daily 15-minute level daily clearing power records; 15min power is the power value generated in the same 15min time period; Summarize the daily clearing power of 96 time points per day to obtain the total daily clearing power per day: ； wherein, is the daily daytime electricity consumption; is the daily daytime electricity consumption in 15-minute steps; the daily daytime electricity consumptions are accumulated to obtain the monthly cumulative electricity consumption: ； wherein, is the monthly cumulative electricity amount; is the daily clear electricity amount on the dth day; N is the number of days in the month; The maximum value is extracted from the daily 96 daily clear power, recorded as ; 4 times the maximum value of daily clear power is used as the maximum demand of power supply demand charge Maximum demand value = max (Q1, Q2, Q3, Q4,... QX) / (15 / 60); P = W / t = maximum power value in 15 minutes of the whole month / (15 / 60), that is, the maximum average power value in 15 minutes of the whole month; Wherein, P is the maximum average power in the 15-minute time period of the whole month; W is the maximum power in the 15-minute time period of the whole month.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to realize the steps of the application of the through power closing operation customer quantity fee settlement method according to any one of claims 1-8.

11. An electronic device comprising a memory, a processor, and a computer program stored on the memory and capable of running on the processor, characterized in that, The processor executes the program to realize the steps of the application of the through power closing operation customer quantity fee settlement method according to any one of claims 1-8.

12. A computer program product, characterised in that, The computer program product includes a computer program, which is executed by the processor to realize the steps of the application of the through power closing operation customer quantity fee settlement method according to any one of claims 1-8.

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