Multi-loop maximum demand metering method and system based on load migration index

Abstract

The present application relates to a multi-loop maximum demand metering method and system based on a load migration index in the technical field of electricity metering. The multi-loop maximum demand metering method comprises: time alignment of the collected multi-loop active power, and then calculation of a load migration index for evaluation of t the confidence level of the reverse load operation at the moment η ( t ), if η ( t ) > a decision threshold η th , it is determined that the user has performed a reverse load operation and the net load power of the user is calculated. The slip demand value of the net load power is calculated, and the maximum slip demand value is extracted as the billing demand. The present application can search and lock the best associated displacement amount of the power change between loops at the mathematical level, eliminate the waveform misalignment caused by the sampling window segmentation or operation process delay, ensure that the subsequent load migration index calculation is based on the logical alignment of the load behavior rather than the simple time alignment, greatly improve the identification ability of the complex reverse load event, and thus accurately meter the maximum demand of the multi-loop user.

Description

Technical Field

[0001] This invention relates to the field of electricity metering technology, and in particular to a multi-circuit maximum demand metering method and system based on load migration index. Background Technology

[0002] Currently, large industrial users in my country generally implement a two-part electricity pricing system, where the basic electricity charge is mainly based on "maximum demand." For users with multiple incoming lines, such as the main supply plus backup model, according to relevant regulations, their maximum demand is usually the algebraic sum of the demands of each incoming line. However, in actual operation, when users perform load switching operations, that is, when transferring the load from one line to another, the existing metering method has significant defects: 1. Simple summation leads to inflated demand: Existing metering systems often directly add the maximum values ​​of each circuit. Since switching operations usually adopt a closing-then-opening method, both lines have current for a short period of time, and a huge inrush current is generated at the moment of closing, causing the superimposed power at that moment to far exceed the user's actual load, resulting in inflated demand. 2. The lack of coupling between the sampling window and the operation process: In actual switching operations, the switching out and switching in of the load is a continuous physical process, but the meter's measurement is based on discrete time windows. Because the timing of switching operations is random, it is highly likely that the load decrease in circuit A and the load increase in circuit B will be segmented into different sampling periods, or simply superimposed within the same period. Existing metering methods lack the ability to analyze the correlation of this cross-period load transfer behavior, resulting in a power curve that fails to accurately reflect the physical nature of load migration, thus generating false demand peaks. 3. The irrationality of direct deduction: Some existing correction methods often use direct rejection or interpolation after detecting switching. This method cannot handle mixed scenarios. For example, if a user simultaneously starts a high-power device within minutes of switching, traditional deduction methods will mistakenly deduct this actual increase as well, leading to lost electricity revenue and failing to achieve true fairness. Summary of the Invention

[0003] To address the technical problem of inaccurate maximum demand measurement for multi-loop users in existing systems, this invention provides a method and system for measuring the maximum demand of multi-loop users based on the load migration index.

[0004] This invention is achieved through the following technical solution: In a first aspect, the present invention proposes a multi-loop maximum demand measurement method based on the load migration index, which includes: Set the active power of one circuit of a multi-circuit user as the reference power. P obj ( t ). The first i One loop tActive power at any time P i ( t )and P obj ( t Time alignment is performed to obtain the aligned active power. . i ∈ I -1. I The total number of loops. Based on , P obj ( t )Calculations are used for evaluation t Load migration index with confidence level of load reversal operation at any time η ( t ): In the formula, dP obj ( t )for P obj ( t The corresponding circuit is in t The change in power at any given time. For the first i Each loop in t The change in power at any given time. ε It is a constant. If η ( t ) > Judgment Threshold η th If so, it is determined that the user has performed a load balancer operation, and based on... η ( t ), η th calculate t Dynamic deduction coefficient at any time λ ( t ).calculate I The measured total power of each circuit P sum ( t (Steady-state power before load reversal operation) P base Excess deviation Δ between P ( t ).Will λ ( t ), Δ P ( t The product is obtained t The spurious superposition power component caused by the load switching operation at all times P overlay ( t ).from Psum ( t Deduct from ) P overlay ( t ) to obtain net load power P clean ( t The sliding window integral method is used to calculate the electricity bill within the billing cycle. P clean ( t Slip demand value D ( t ), and extract the largest D ( t As billing demand D max .

[0005] Secondly, this invention proposes a multi-loop maximum demand metering system based on the load migration index, which uses the multi-loop maximum demand metering method based on the load migration index described in the first aspect. The multi-loop maximum demand metering system includes: a time alignment module, a feature diagnosis module, a reconfiguration deduction module, and a demand settlement module. The time alignment module is used to set the active power of one loop of a multi-loop user as a reference power. P obj ( t ). The first i One loop t Active power at any time P i ( t )and P obj ( t Time alignment is performed to obtain the aligned active power. . i ∈ I -1. I This represents the total number of loops. The feature-based diagnostic module is used for... , P obj ( t )Calculations are used for evaluation t Load migration index with confidence level of load reversal operation at any time η ( t ): In the formula, dP obj ( t )for P obj ( t The corresponding circuit is in t The change in power at any given time. For the first iEach loop in t The change in power at any given time. ε It is a constant. The refactoring deduction module is used if... η ( t ) > Judgment Threshold η th If so, it is determined that the user has performed a load balancer operation, and based on... η ( t ), η th calculate t Dynamic deduction coefficient at any time λ ( t ).calculate I The measured total power of each circuit P sum ( t (Steady-state power before load reversal operation) P base Excess deviation Δ between P ( t ).Will λ ( t ), Δ P ( t The product is obtained t The spurious superposition power component caused by the load switching operation at all times P overlay ( t ).from P sum ( t Deduct from ) P overlay ( t ) to obtain net load power P clean ( t The demand billing module is used to calculate the electricity billing amount using the sliding window integral method within the electricity billing cycle. P clean ( t Slip demand value D ( t ), and extract the largest D ( t As billing demand D max .

[0006] Thirdly, this invention proposes an electricity billing method based on load migration index, which first uses the multi-circuit maximum demand metering method based on load migration index from the first aspect to obtain the billing demand of multi-circuit users. D max Next, the billing demand will be... D max Multiply by the demand electricity price to get the electricity cost for multi-circuit users.

[0007] Fourthly, the present invention provides a computer-readable storage medium storing a computer program / instructions. When the computer program / instructions are executed by a processor, they implement the steps of the multi-loop maximum demand metering method based on the load migration index in the first aspect.

[0008] Fifthly, the present invention provides a computer program product comprising a computer program / instructions. This computer program / instructions are used to cause a computer to perform the steps of the multi-loop maximum demand metering method based on the load migration index in the first aspect.

[0009] The beneficial effects of this invention are as follows: 1. This invention breaks through the limitations of traditional metering that relies on a single time segment. It can search and lock the optimal correlation displacement of power changes between loops at the mathematical level, eliminate the waveform misalignment caused by sampling window segmentation or operation delay, and ensure that the subsequent load migration index calculation is based on logical alignment of load behavior rather than simple time alignment. This greatly improves the ability to identify complex load switching events, thereby enabling accurate metering of the maximum demand of multi-loop users.

[0010] 2. This invention achieves accurate identification of mixed scenarios, and can precisely distinguish between "load reversal" and "normal load fluctuation" from mathematical characteristics through the load migration index. Compared with existing technologies, it no longer misjudges users' normal capacity expansion behavior, solving the problem of difficulty in qualitative analysis.

[0011] 3. This invention, through the decoupling and subtraction of superimposed components, no longer simply removes data, but explicitly calculates the false superimposed power components, thereby clearly outputting the true load, which not only maintains the electricity fee collection of power supply companies, but also protects the legitimate rights and interests of users. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a flowchart of a multi-loop maximum demand measurement method based on the load migration index. Detailed Implementation

[0014] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] It should be noted that when a component is said to be "installed on" another component, it can be directly on the other component or it may be in a component that is centered on it. When a component is said to be "set on" another component, it can be directly set on the other component or it may also be in a component that is centered on it. When a component is said to be "fixed to" another component, it can be directly fixed to the other component or it may also be in a component that is centered on it.

[0016] 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 invention pertains. The terminology used herein in the specification of this invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "or / and" as used herein includes any and all combinations of one or more of the associated listed items.

[0017] To address the issue of inflated billing demand caused by power fluctuations and sampling window mechanisms during load switching operations in large industrial users with multiple power sources and circuits, this invention proposes a multi-circuit maximum demand metering method based on the load migration index, employing a "feature matching—feature diagnosis—dynamic deduction" approach. Figure 1 As shown, it includes the following steps: S1. Perform optimal waveform feature matching search on the power sequence of multiple circuits for multi-circuit users to reconstruct the continuity characteristics of load transfer. Specifically, synchronously collect the active power of multiple circuits of the multi-circuit users using sensors. Set the active power of one circuit of the multi-circuit user as the reference power. P obj ( t ). The first i One loop t Active power at any time P i ( t )and P obj ( t Time alignment is performed to obtain the aligned active power. . i ∈ I -1. I This represents the total number of loops. The time alignment method includes: Set time search window k and ink Internal calculation i indivual P i ( t )and P obj ( t cross-correlation value R ( k ): T Indicates the electricity billing cycle. Preset time search window. k The range of values ​​for , and finding the value within that range. R ( k Reaching the minimum value k (Equivalent to displacement on the time axis), and denoted as the optimal associated displacement. τ Then utilize τ right P i ( t Reconstruction and alignment are performed to obtain the aligned active power. : S2. Constructing the load migration index η ( t This involves quantifying and identifying the probability that a current load change is a "switching operation" or a "real capacity increase." Specifically, based on the aligned active power sequence, and according to the power change gradient of each circuit, the probability is... , P obj ( t )Calculations are used for evaluation t Load migration index with confidence level of load reversal operation at any time η ( t ): In the formula, dP obj ( t )for P obj ( t The corresponding circuit is in t The change in power at any given time. For the first i Each loop in t The change in power at any given time. ε It is a very small positive constant used to prevent the denominator from being zero. Load migration index η ( tThe value range is [-1, 1]. A larger value indicates a higher probability of load reversal (i.e., switching operation). Therefore, when the load migration index... η ( t ) > Judgment threshold η th If the load migration index is [value missing], it is determined that the user has performed a load shifting operation. η ( t )≤ Judgment Threshold η th If the user has not performed a load reversal operation, the load migration index will continue to be calculated based on the user's active power. η ( t ).

[0018] S3. When it is determined that a user has performed a load shifting operation, based on the load migration index... η ( t Calculate the dynamic deduction coefficient λ ( t Accurately calculate and subtract spurious superposition power components caused by the operation process. P overlay ( t ), to obtain the net load power P clean ( t Specifically, dynamic deduction coefficient. λ ( t The formula for calculating ) is: In the formula, α This represents the sensitivity gain coefficient, used to adjust the steepness of the function. exp(·) represents the natural exponential function.

[0019] Next calculation I The measured total power of each circuit P sum ( t (Steady-state power before load reversal operation) P base Excess deviation Δ between P ( t ): Δ P ( t )=max(0, P sum ( t )- P base ) In this formula, the excess deviation Δ P ( t )express t The potential for inflated figures at any given time. Actual total power measurement. Psum ( t () indicates that the loop time is aligned. t time I The sum of the measured power of each loop. Steady-state power. P base This indicates the time period before the load reversal operation. I The average total power of each circuit.

[0020] In obtaining λ ( t ), Δ P ( t Then multiply to get t The spurious superposition power component caused by the load switching operation at all times P overlay ( t ): P overlay ( t )= λ ( t )Δ P ( t ) Ultimately from P sum ( t Deduct from ) P overlay ( t ) to obtain net load power P clean ( t ): P clean ( t )= P sum ( t )- P overlay ( t ) S4, Net load power P clean ( t The billing demand for the final settlement period is calculated using the sliding window integration method. D max In this sliding window integration method, the size of the sliding window is the number of minutes corresponding to the demand period. N In this embodiment N 15 minutes is available. Based on... N calculate t Slip demand value at time D ( t ): In the formula, P clean ( t - n )express t Keep moving forward n Net load power at any given minute. n ∈ N Ultimately, during the electricity billing cycle... T Find the largest inside D ( t As billing demand D max : .

[0021] The maximum demand of a multi-loop user was measured using the multi-loop maximum demand metering method based on load migration index provided by this invention. The metering results are shown in Table 1.

[0022] Table 1: Metering results of maximum demand for a multi-circuit user. Time period Maximum total demand deduction (kW) Original total maximum demand (kW) Total maximum demand after deductions (kW) Actual maximum demand (kW) Deviation value (%) loop 1 Loop 2 Loop 3 Loop 4 Loop 5 Loop 6 2025-05-15 17:00:00 ~2025-06-02 12:45:00 0.0024 0.1529 0.1505 0.1458 3.22% 0.076 0.075 0.0024 0 2025-06-02 13:00:00 ~2025-06-04 21:15:00 0.0026 0.1516 0.1491 0.1427 4.48% 0.075 0.0742 0.0023 0 2025-06-04 21:30:00 ~2025-07-06 05:00:00 0.0026 0.1525 0.1499 0.1458 2.81% 0.076 0.0746 0.0025 0 2025-07-06 05:15:00 ~2025-07-11 03:15:00 0.0134 0.1669 0.1535 0.1591 -3.52% 0.075 0.0737 0.0101 0.0086 2025-07-11 03:30:00 ~2025-12-01 23:45:00 0.1086 0.2654 0.1568 0.1637 -4.22% 0.063 0.0617 0.0708 0.0704 2025-01-16 09:45:00 ~2025-02-07 11:00:00 0.0017 0.2749 0.2732 0.2599 5.12% 0.026 0.062 0 0.0629 0.0619 0.0621 2025-02-07 11:15:00 ~2025-02-26 02:15:00 0.0011 0.2779 0.2768 0.2667 3.79% 0.031 0.0618 0 0.0617 0.0617 0.0618 2025-02-26 02:30:00 ~2025-03-03 10:45:00 0.0037 0.2852 0.2815 0.2899 -2.90% 0.032 0.0627 0.0032 0.0626 0.0625 0.0626 2025-03-03 11:00:00 ~2025-03-07 08:30:00 0.0224 0.3011 0.2787 0.2835 -1.69% 0.021 0.0621 0.0321 0.062 0.062 0.0621 2025-03-07 08:45:00 ~2025-05-08 08:30:00 0.0038 0.2796 0.2758 0.2699 2.19% 0 0.0617 0.0323 0.0619 0.0618 0.0619 2025-05-08 08:45:00 ~2025-05-08 17:15:00 0.0004 0.2658 0.2654 0.2554 3.92% 0 0.0596 0.0275 0.0596 0.0595 0.0596 2025-05-08 17:30:00 ~2025-07-19 11:30:00 0.0024 0.2824 0.28 0.2881 -2.81% 0 0.0629 0.0311 0.0628 0.0627 0.0629 2025-07-19 11:45:00 ~2025-07-19 12:30:00 0.0016 0.2766 0.275 0.267 3.00% 0 0.0619 0.0288 0.062 0.0619 0.062 2025-07-19 12:45:00 ~2025-10-10 14:30:00 0.0629 0.3424 0.2795 0.289 -3.29% 0 0.0825 0.0322 0.0627 0.0824 0.0826 2025-10-10 14:45:00 ~2025-10-11 10:30:00 0.0011 0.3349 0.3339 0.3144 6.20% 0 0.0828 0.0289 0.0577 0.0827 0.0829 2025-10-11 10:45:00 ~2025-10-13 01:45:00 0.0791 0.3578 0.2787 0.2719 2.50% 0 0.0825 0.0314 0.0788 0.0824 0.0827 2025-10-13 02:00:00 ~2025-10-13 07:30:00 0.0084 0.2775 0.269 0.277 -2.89% 0 0.0616 0.0228 0.0683 0.0632 0.0616 2025-10-13 07:45:00 ~2025-10-13 08:30:00 0.0039 0.2736 0.2696 0.261 3.30% 0 0.0616 0.0232 0.063 0.0628 0.063 2025-10-13 08:45:00 ~2025-10-18 14:45:00 0.0825 0.3632 0.2807 0.2897 -3.11% 0 0.0825 0.0335 0.0825 0.0824 0.0823 2025-10-18 15:00:00 ~2025-10-18 18:30:00 0.0551 0.3313 0.2762 0.2682 2.98% 0 0.0809 0.0295 0.0809 0.0807 0.0593 2025-10-18 18:45:00 ~2025-10-18 19:45:00 0.0028 0.273 0.2702 0.2774 -2.60% 0 0.0617 0.0246 0.0617 0.0615 0.0635 2025-10-18 20:00:00 ~2025-10-22 17:30:00 0.11 0.3907 0.2807 0.2736 2.60% 0.031 0.0824 0.0338 0.0825 0.0786 0.0826 2025-10-22 17:45:00 ~2025-11-01 23:45:00 0.0244 0.3049 0.2804 0.2882 -2.71% 0.024 0.0619 0.0337 0.0618 0.0618 0.0619

[0023] In Table 1, the actual maximum demand is calculated by the user based on their recorded actual switching times and meter data, and is considered the most accurate and true value. As can be seen from Table 1, the billing demand calculated by this invention... D max The maximum error between the calculated (i.e., the total maximum demand after deduction in Table 1) and the actual value is approximately 6%, achieving a level of accurate measurement of maximum demand and surpassing the measurement accuracy of existing methods. Therefore, this invention enables automated and rational deduction of the demand generated by switching operations, eliminating false peak values ​​while retaining the actual load increment for users, thus protecting the rights and interests of both power supply companies and users.

[0024] In another embodiment, the method is the same as the multi-loop maximum demand metering method described in the above embodiments, except that this embodiment takes the metering of the maximum demand of a dual-loop user as an example. First, the maximum demand of the first and second loops of the dual-loop user is simultaneously collected. t Active power at minute level P 1( t ), P 2( t Next, calculate the power change of each circuit separately. dP 1( t ), dP 2( t ): dP 1( t )= P 1( t )- P 1( t-1) dP 2( t )= P 2( t )- P 2( t -1) Secondly, calculate the cross-correlation value of the two loops. R ( k ): Searching for R ( k The optimal associated displacement to reach the minimum value τ And reconfigure and align the second loop: Thus, the active power of the first loop after alignment is obtained. P 1( t Active power of the second circuit .

[0025] The load migration index was then calculated. η ( t ): when η ( t ) > Judgment Threshold η th When a user is determined to have performed a load reversal operation, calculate their net load power. P clean ( t And calculate using the sliding window integration method. P clean ( t Slip demand value D ( t ), and extract the largest D ( t As billing demand D max .

[0026] In another embodiment, a multi-loop maximum demand metering system based on the load migration index is proposed, which uses the multi-loop maximum demand metering method based on the load migration index in the above embodiments. This multi-loop maximum demand metering system includes: a time alignment module, a feature diagnosis module, a reconfiguration deduction module, and a demand settlement module.

[0027] The time alignment module is used to set the active power of one of the circuits of a multi-circuit user as the reference power. P obj ( t ). The firsti One loop t Active power at any time P i ( t )and P obj ( t Time alignment is performed to obtain the aligned active power. i ∈ I -1 I This represents the total number of loops. The feature-based diagnostic module is used for... , P obj ( t )Calculations are used for evaluation t Load migration index with confidence level of load reversal operation at any time η ( t ): In the formula, dP obj ( t )for P obj ( t The corresponding circuit is in t The change in power at any given time. For the first i Each loop in t The change in power at any given time. ε It is a constant. The refactoring deduction module is used if... η ( t ) > Judgment Threshold η th If so, it is determined that the user has performed a load balancer operation, and based on... η ( t ), η th calculate t Dynamic deduction coefficient at any time λ ( t ).calculate I The measured total power of each circuit P sum ( t (Steady-state power before load reversal operation) P base Excess deviation Δ between P ( t ).Will λ ( t ), Δ P ( t The product is obtained t The spurious superposition power component caused by the load switching operation at all times Poverlay ( t ).from P sum ( t Deduct from ) P overlay ( t ) to obtain net load power P clean ( t The demand billing module is used to calculate the electricity billing amount using the sliding window integral method within the electricity billing cycle. P clean ( t Slip demand value D ( t ), and extract the largest D ( t As billing demand D max .

[0028] In another embodiment, an electricity billing method based on load migration index is also proposed. This method first uses the multi-circuit maximum demand metering method based on load migration index from the above embodiment to obtain the billing demand of multi-circuit users. D max Next, the billing demand will be... D max Multiply by the demand electricity price to get the electricity cost for multi-circuit users.

[0029] In another embodiment, a computer-readable storage medium is also proposed, which stores a computer program / instructions. When the computer program / instructions are executed by a processor, the steps of the multi-loop maximum demand metering method based on the load migration index in the above embodiments are implemented. The computer-readable storage medium may include, but is not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0030] In another embodiment, a computer program product is also proposed, comprising a computer program / instructions. This computer program / instructions are used to cause a computer to perform the steps of the multi-loop maximum demand metering method based on the load migration index in the above embodiments. The computer program / instructions exist in a computer-readable medium in forms including, but not limited to, source files, executable files, and installation package files. Accordingly, the computer program / instructions can be executed by a computer in ways including, but not limited to: the computer directly executing the instructions; the computer compiling the instructions and then executing the corresponding compiled program; the computer reading and executing the instructions; or the computer reading and installing the instructions and then executing the corresponding installed program.

[0031] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0032] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A multi-loop maximum demand measurement method based on load migration index, characterized in that, It includes: Set the active power of one circuit of a multi-circuit user as the reference power. P obj ( t ); will the first i One loop t Active power at any time P i ( t )and P obj ( t Time alignment is performed to obtain the aligned active power. ; i ∈ I -1; I This represents the total number of loops. based on , P obj ( t )Calculations are used for evaluation t Load migration index with confidence level of load reversal operation at any time η ( t ): ； In the formula, dP obj ( t )for P obj ( t The corresponding circuit is in t The change in power at any given time. For the first i Each loop in t The change in power at any given time. ε It is a constant; like η ( t ) > Judgment Threshold η th If so, it is determined that the user has performed a load balancer operation, and based on... η ( t ), η th calculate t Dynamic deduction coefficient at any time λ ( t );calculate I The measured total power of each circuit P sum ( t (Steady-state power before load reversal operation) P base Excess deviation Δ between P ( t );Will λ ( t ), Δ P ( t The product is obtained t The spurious superposition power component caused by the load switching operation at all times P overlay ( t );from P sum ( t Deduct from ) P overlay ( t ) to obtain net load power P clean ( t ); The sliding window integral method is used to calculate the electricity bill within the billing cycle. P clean ( t Slip demand value D ( t ), and extract the largest D ( t As billing demand D max .

2. The multi-loop maximum demand measurement method based on load migration index according to claim 1, characterized in that, Methods for time alignment of active power include: Set time search window k and in k Internal calculation i indivual P i ( t )and P obj ( t cross-correlation value R ( k ): ； T Indicates the electricity billing cycle; finds the... R ( k Reaching the minimum value k And it is recorded as the optimal associated displacement. τ ; use τ right P i ( t Reconstruction and alignment are performed to obtain the aligned active power. .

3. The multi-loop maximum demand measurement method based on load migration index according to claim 1, characterized in that, like η ( t )≤ Judgment Threshold η th If the user has not performed a load reversal operation, the load migration index will continue to be calculated based on the user's active power. η ( t ).

4. The multi-loop maximum demand metering method based on load migration index according to claim 1, characterized in that, Dynamic deduction coefficient λ ( t The formula for calculating ) is: ； In the formula, α represents the sensitivity gain coefficient, and exp(·) represents the natural exponential function.

5. The multi-loop maximum demand metering method based on load migration index according to claim 1, characterized in that, Measured total power P sum ( t () indicates that the loop time is aligned. t time I The sum of the measured power of each loop; steady-state power P base This indicates the time period before the load reversal operation. I The average total power of each circuit.

6. The multi-loop maximum demand metering method based on load migration index according to claim 1, characterized in that, In the sliding window integration method, the size of the sliding window is the number of minutes corresponding to the demand period. N ; based on N calculate t Slip demand value at time D ( t ): ； In the formula, P clean ( t - n )express t Keep moving forward n Net load power at any given minute; During the electricity billing cycle T Find the largest inside D ( t As billing demand D max .

7. A multi-loop maximum demand metering system based on load migration index, characterized in that, It uses the multi-loop maximum demand measurement method based on the load migration index as described in any one of claims 1 to 6; Multi-loop maximum demand metering systems include: The time alignment module is used to set the active power of one circuit of a multi-circuit user as the reference power. P obj ( t ); will the first i One loop t Active power at any time P i ( t )and P obj ( t Time alignment is performed to obtain the aligned active power; i ∈ I -1; I This represents the total number of loops. Feature-based diagnostic module, which is used for... , P obj ( t )Calculations are used for evaluation t Load migration index with confidence level of load reversal operation at any time η ( t ): ； In the formula, dP obj ( t )for P obj ( t The corresponding circuit is in t The change in power at any given time. For the first i Each loop in t The change in power at any given time. ε It is a constant; Reconstruct the deduction module, which is used for... η ( t ) > Judgment Threshold η th If so, it is determined that the user has performed a load balancer operation, and based on... η ( t ), η th calculate t Dynamic deduction coefficient at any time λ ( t );calculate I The measured total power of each circuit P sum ( t (Steady-state power before load reversal operation) P base Excess deviation Δ between P ( t );Will λ ( t ), Δ P ( t The product is obtained t The spurious superposition power component caused by the load switching operation at all times P overlay ( t );from P sum ( t Deduct from ) P overlay ( t ) to obtain net load power P clean ( t ); The demand billing module is used to calculate the demand using the sliding window integral method within the electricity billing cycle. P clean ( t Slip demand value D ( t ), and extract the largest D ( t As billing demand D max .

8. An electricity billing method based on load migration index, characterized in that, It first uses the multi-loop maximum demand metering method based on load migration index as described in any one of claims 1 to 6 to obtain the billing demand of multi-loop users. D max Next, the billing demand will be... D max Multiply by the demand electricity price to get the electricity cost for multi-circuit users.

9. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instruction is executed by the processor, it implements the steps of the multi-loop maximum demand metering method based on the load migration index as described in any one of claims 1 to 6.

10. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instruction is executed by the processor, it implements the steps of the multi-loop maximum demand metering method based on the load migration index as described in any one of claims 1 to 6.

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