Metering monitoring method and management system for load response of industrial and commercial users

Abstract

The invention discloses an industrial and commercial user load response-oriented metering monitoring method and management system. The method comprises the following steps of: acquiring electric quantity data of a user gateway meter and each branch capable of participating in response adjustment in the response period; respectively calculating a correlation coefficient between each branch and the electric quantity data of the user gateway meter, and judging whether the change trend of the electric quantity data of each branch is consistent with the change trend of the electric quantity data of the user gateway meter; if the judgment results of the branches are consistent, determining that the current response of each branch is effective, and metering by taking the response quantity of each branch as the standard; if inconsistent branches exist, further approving the validity of the response of the branches according to the load characteristics of the branches; if an illegal branch exists, metering is carried out by taking electric quantity data responded by a user gateway meter as a criterion; otherwise, metering by taking the response quantity of each branch as the standard. According to the invention, real-time monitoring and accurate metering of the operation condition of the shunt load can be realized, so that accurate accounting of the response amount of the shunt load is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a metering monitoring method and management system for load responses of industrial and commercial users. Background Art

[0002] With the implementation of the new power system strategy, the "source" side of the new energy will become the dominant power source, which will bring new challenges to the economic and stable operation of the power system. New energy is affected by factors such as seasons and weather, and shows great randomness and intermittency, and has the characteristics of fluctuation and non-adjustability. Thermal power units have relatively excellent conventional adjustment characteristics. The gradual replacement of thermal power units by new energy has increased the power system's demand for adjustment resources, while reducing the power system's adjustment capacity, resulting in insufficient trough peak-shaving capacity and insufficient peak power supply capacity of the power grid. The contradiction between the source and load supply and demand balance is becoming more acute. At present, the imbalance between power supply and demand will become a normal and high-incidence event. Load management has evolved from the traditional seasonal and phased work to a year-round and normalized work carried out in real time with the fluctuation of new energy. It has become crucial to monitor and regulate various load resources, and more stringent requirements have been put forward for future power load management systems.

[0003] At present, most of the metering and monitoring solutions for load response of industrial and commercial users adopt the power metering and monitoring method of load control terminal + user gateway total meter. There are many deficiencies in the complex and changeable load characteristics of industrial and commercial users and the dynamic metering and monitoring during the load regulation process. For example, it is impossible to accurately monitor the contribution of the actual adjustable load of industrial and commercial users to the overall load regulation, it is difficult to capture the changes of key parameters in the load regulation process in real time, and the metering evaluation of the response to sudden regulation instructions is not accurate enough. Traditional power metering and monitoring methods mainly focus on the statistics of the overall power consumption of users, which is difficult to adapt to the measurement and accounting requirements of the response quantity under the refined regulation of branch loads, and it is also difficult to ensure the fair and just settlement requirements of the load response quantity. Therefore, the current metering, monitoring and control solutions for load response of industrial and commercial users need to be further optimized. Summary of the invention

[0004] In order to address the deficiencies in the prior art, the present invention provides a metering monitoring method and management system for load response of industrial and commercial users, which can realize real-time monitoring of branch load operating conditions and accurate measurement of load response quantities, thereby providing effective data support for more accurate and effective load regulation for power grids and industrial and commercial users.

[0005] The present invention adopts the following technical solution.

[0006] In a first aspect, the present invention provides a metering and monitoring method for load response of industrial and commercial users, the method comprising:

[0007] Collect the electricity data of the user gateway table and each branch within its jurisdiction that can participate in the response regulation during this response period;

[0008] Calculate the correlation coefficient between the power data of each branch and the user's gateway table respectively, and determine whether the change trend of the power data of each branch is consistent with the power data of the user's gateway table;

[0009] If the judgment results of each branch are consistent, it is confirmed that the response of each branch is valid, and the measurement is based on the response of each branch;

[0010] If there is an inconsistent branch, the legitimacy of the branch response will be further verified based on the load characteristics of the branch;

[0011] If there is an illegal branch, the power data responded at the user's gateway meter shall be used for measurement; otherwise, the sum of the power data of all branches shall be taken as the actual response amount of this response.

[0012] Optionally, the correlation coefficient is calculated as follows:

[0013]

[0014] In the formula, r k represents the correlation coefficient between the power data of branch k and the power data of the user gateway table; k = 1, 2...K; K represents the number of branches that can participate in the response adjustment within the scope of the jurisdiction; I represents the total number of times the power data is collected during this response period; X k i represents the power data of branch k collected for the i-th time; represents the average value of the power data of the kth branch collected during this response period; Y i Indicates the power data of the user gateway table collected for the i-th time; Indicates the average value of the power data of the user gateway meter collected during this response period.

[0015] Optionally, the step of determining whether the change trend of the power data of each branch is consistent with the power data of the user gateway meter includes:

[0016] Determine whether the correlation coefficient between the power data of each branch and the user gateway table falls within the set allowable range, that is, r min ≤r k ≤r max ; Among them, r k Represents the correlation coefficient between the power data of branch k and the power data of the user gateway table, r min and r max Respectively represent the set lower and upper limits of the correlation coefficient;

[0017] If yes, it is considered that the power data of the branch k is consistent with the change trend of the power data of the user gateway meter; if no, it is considered that they are inconsistent.

[0018] Optionally, the step of further verifying the legitimacy of the branch response according to the load characteristics of the branch includes:

[0019] According to the starting delay, ramp rate and duration characteristics of the branch, the corresponding measurement functions are constructed respectively;

[0020] Standardizing each of the measurement functions to establish a multi-dimensional comprehensive measurement function;

[0021] Based on the multidimensional comprehensive measurement function, the multidimensional comprehensive measurement function value of the branch in this response is calculated. If its value is higher than the set threshold, the branch's response is confirmed to be legal; otherwise, the branch is deemed illegal in this response.

[0022] Optionally, the expressions of the measurement functions of the ramp rate, start delay and duration are as follows:

[0023]

[0024] In the formula, μ T (E) represents the measurement function of the startup delay, T(E) represents the startup delay of the response time period E, T max is the maximum start-up delay; μ R (E) represents the measurement function of the ramp rate, R(E) represents the ramp rate of the response time period E, and R max is the maximum climbing rate; μ D (E) represents the duration measurement function, D(E) represents the duration of the response time period E, and D min is the minimum duration.

[0025] Optionally, the expression of the multidimensional comprehensive measurement function is as follows:

[0026] μ(E)=αμ T (E) * +βμ R (E) * +γμ D (E)*

[0027] In the formula, μ T (E) * , μ R (E) and * μ D (E)* are the standardized values ​​of the measurement functions of the start delay, the ramp rate and the duration, and α, β and γ are the set first weight coefficient, the second weight coefficient and the third weight coefficient respectively.

[0028] In a second aspect, the present invention provides a management system for load response of industrial and commercial users, comprising a metering and monitoring device, wherein the metering and monitoring device is used to execute the steps of any method described in the first aspect of the invention;

[0029] The metering monitoring device comprises:

[0030] The collection module is used to collect the power data of the user gateway table and each branch within its jurisdiction that can participate in the response adjustment during this response period;

[0031] The calculation module is used to calculate the correlation coefficient between the power data of each branch and the user's gateway table, and determine whether the change trend of the power data of each branch is consistent with the power data of the user's gateway table;

[0032] The first metering module is used to confirm that the responses of each branch are valid if the judgment results of each branch are consistent, and to perform metering based on the response amount of each branch;

[0033] An approval module, used for further approving the legitimacy of the branch response according to the load characteristics of the branch if there is an inconsistent branch;

[0034] The second metering module is used to measure the power data of the response at the user gateway meter if there is an illegal branch; otherwise, the sum of the power data of all branches is used as the actual response amount of this response.

[0035] Optionally, in the calculation module, the calculation formula of the correlation coefficient is as follows:

[0036]

[0037] In the formula, r k represents the correlation coefficient between the power data of branch k and the power data of the user gateway table; k = 1, 2...K; K represents the number of branches that can participate in the response adjustment within the scope of the jurisdiction; I represents the total number of times the power data is collected during this response period; X k i represents the power data of branch k collected for the i-th time; represents the average value of the power data of the kth branch collected during this response period; Y i Indicates the power data of the user gateway table collected for the i-th time; Indicates the average value of the power data of the user gateway meter collected during this response period.

[0038] Optionally, the calculation module includes:

[0039] The judging unit is used to judge whether the correlation coefficient between the power data of each branch and the user gateway table falls within the set allowable range, that is, r min ≤r k ≤r max ; Among them, r k Represents the correlation coefficient between the power data of branch k and the power data of the user gateway table, r min and r max Respectively represent the set lower and upper limits of the correlation coefficient;

[0040] The determination unit is used to determine that if the determination result of the determination unit is yes, then the power data of the branch k is considered to be consistent with the change trend of the power data of the user gateway meter; if not, then it is considered to be inconsistent.

[0041] Optionally, the approval module includes:

[0042] A construction unit, used to construct corresponding measurement functions according to the start-up delay, ramp rate and duration characteristics of the branch;

[0043] An establishing unit, used for respectively performing standardization processing on each of the measurement functions to establish a multi-dimensional comprehensive measurement function;

[0044] The confirmation unit is used to calculate the multidimensional comprehensive measurement function value of the branch in this response based on the multidimensional comprehensive measurement function. If its value is higher than the set threshold, the branch’s response is confirmed to be legal; otherwise, the branch is deemed illegal in this response.

[0045] Optionally, in the construction unit, the expressions of the measurement functions of the ramp rate, start delay and duration are as follows:

[0046]

[0047] In the formula, μ T (E) represents the measurement function of the startup delay, T(E) represents the startup delay of the response time period E, T max is the maximum start-up delay; μ R (E) represents the measurement function of the ramp rate, R(E) represents the ramp rate of the response time period E, and R max is the maximum climbing rate; μ D (E) represents the duration measurement function, D(E) represents the duration of the response time period E, and D min is the minimum duration.

[0048] Optionally, in the establishment unit, the expression of the multidimensional comprehensive measurement function is as follows:

[0049] μ(E)=αμ T (E) *+βμ R (E) * +γμ D (E)*

[0050] In the formula, μ T (E) * , μ R (E) and * μ D (E)* are the standardized values ​​of the measurement functions of the start delay, climbing rate and duration respectively; α, β and γ are the set first weight coefficient, second weight coefficient and third weight coefficient respectively, α+β+γ=1.

[0051] Optionally, the management system further includes a new type of power load management system, a smart energy unit and an industrial and commercial user load system that are sequentially communicatively connected; the new type of power load management system is a metering monitoring device as described in any one of the second aspects above;

[0052] A branch measurement and control unit is installed on each branch that can participate in the response regulation in the industrial and commercial user load system to achieve real-time monitoring of the operating conditions of the branch loads that actually participate in the load regulation response.

[0053] Optionally, the branch measurement and control unit transmits the branch load response data to the smart energy unit to which it belongs through RS485, CAN bus, Ethernet or HPLC+HRF communication according to the set reporting cycle.

[0054] Optionally, the new power load management system is used to issue response control instructions to each smart energy unit; the smart energy unit is used to decompose the response control instructions issued by the new power load management system, and issue the decomposed branch control tasks to each branch user within its jurisdiction for load adjustment, and send the user gateway meter measurement data within its jurisdiction and the load response data reported by each branch measurement and control unit to the new power load management system master station.

[0055] In a third aspect, the present invention provides a terminal, including a processor and a storage medium;

[0056] The storage medium is used to store instructions;

[0057] The processor is used to operate according to the instructions to execute the steps of any one of the methods described in the first aspect of the present invention.

[0058] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods described in the first aspect of the present invention.

[0059] The beneficial effects of the present invention are as follows:

[0060] The metering and monitoring method for load response of industrial and commercial users provided by the present invention can realize real-time monitoring of branch load operating conditions and accurate metering of load response quantity, and accurately reflect the response quality and contribution of branch adjustable load through metering and verification of actual response quantity of branch load based on gateway response quantity, solve the problems of insufficient refined monitoring and response quantity accounting capabilities when user branches participate in demand response of different time scales and multiple branches participate in demand response of different time scales at the same time, ensure fair and just settlement of response quantity, improve the reliability of load data regulation of power grid, ensure the rationality and fairness of the benefits of adjustable load participating in demand response of industrial and commercial users, and provide effective data support for more accurate and effective load regulation for power grid and industrial and commercial users.

[0061] The management system for load response for industrial and commercial users provided by the present invention is equipped with a branch measurement and control unit on each branch that can participate in response regulation, so as to realize the forward movement of user load monitoring from the gateway total meter to the branch, and realize 1 minute or even second level monitoring of branch load or equipment, so as to solve the problem that the regulation amount of user's small capacity and fast response load cannot be seen from the user's gateway load, and can accurately evaluate the response effect of rapid increase or decrease of load, and can accurately measure and approve the response amount of industrial and commercial users participating in responses of different time scales, and effectively realize refined load management, so as to support industrial and commercial users to participate in wider and deeper regulation of power grids, such as emergency response, power grid peak regulation, frequency regulation and other regulation scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a flow chart of a method for measuring and monitoring load response for industrial and commercial users in an embodiment of the present invention;

[0063] Figure 2 It is a schematic diagram of the architecture of a management system for load response of industrial and commercial users in an embodiment of the present invention;

[0064] Figure 3 It is a data flow diagram of the management system for load response of industrial and commercial users in the present invention; DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in the present invention are only part of the embodiments of the present invention, not all of the embodiments. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0066] Reference Figure 1The embodiment of the present invention provides a metering and monitoring method for load response of industrial and commercial users, which specifically includes the following steps:

[0067] Step 1: Collect the power data of the user gateway table and each branch within its jurisdiction that can participate in the response regulation during this response period;

[0068] Among them, each time the data is collected, it is necessary to ensure that the data timestamps of the user gateway table and each branch measurement and control unit are consistent.

[0069] Step 2: Calculate the correlation coefficient between the power data of each branch and the user's gateway table to determine whether the change trend of the power data of each branch is consistent with the power data of the user's gateway table;

[0070] In a preferred but non-limiting embodiment, the calculation formula of the correlation coefficient between the power data of each branch and the user gateway table is as follows:

[0071]

[0072] In the formula, r k represents the correlation coefficient between the power data of branch k and the power data of the user gateway table; k = 1, 2...K; K represents the number of branches that can participate in the response adjustment within the scope of the jurisdiction; I represents the total number of times the power data is collected during this response period; X k i represents the power data of branch k collected for the i-th time; represents the average value of the power data of the kth branch collected during this response period; Y i represents the power data of the user gateway table collected for the i-th time; Y represents the average value of the power data of the user gateway table collected during this response period.

[0073] Furthermore, in step 2, the step of determining whether the change trend of the power data of each branch is consistent with the power data of the user gateway meter includes:

[0074] According to the historical data of the user's optical port table and each branch load and the requirements of the power consumption information collection system, a correlation coefficient tolerance range [r min ,r max ];

[0075] Determine whether the correlation coefficient between the power data of each branch and the user gateway table falls within the set allowable range, that is, r min ≤r k ≤r max ; Among them, r k Represents the correlation coefficient between the power data of branch k and the power data of the user gateway table, r min and r maxRespectively represent the set lower and upper limits of the correlation coefficient;

[0076] If yes, it is considered that the power data of the branch k is consistent with the change trend of the power data of the user gateway meter; if no, it is considered that they are inconsistent.

[0077] Step 3: If the judgment results of each branch are consistent, it is confirmed that the response of each branch is valid, and the measurement is based on the response of each branch;

[0078] Step 4: If there is an inconsistent branch, the legitimacy of the branch response is further verified based on the load characteristics of the branch;

[0079] It should be noted that when the data change trends of the branch and the user's gateway table are inconsistent, further calculation is required to reasonably determine the user's actual response amount and the random fluctuations of the user's total load will not affect the accuracy of the measurement. The inconsistency often occurs when the adjustable load of the branch accounts for a low proportion, and the response of the branch is almost overwhelmed by the gateway table data. For such cases, the calculation method considers the branch load characteristics to determine the legality of the branch response. If it is legal, the actual response amount is directly measured according to the branch data.

[0080] As an embodiment of the present invention, in step 4, the step of further verifying the legitimacy of the branch response according to the load characteristics of the branch includes:

[0081] Step 4.1: Construct the corresponding measurement functions according to the start-up delay, ramp rate and duration characteristics of the branch. The specific process is as follows:

[0082] Define the measurement space of load characteristics: Let Ω be the set of all possible response time periods, let μ be a measure on Ω, representing the effectiveness of the response time period;

[0083] The measurement functions of ramp rate, start delay and duration are constructed respectively by the following formulas:

[0084]

[0085] In the formula, μ T (E) represents the measurement function of the startup delay, T(E) represents the startup delay of the response time period E, T max is the maximum start-up delay; μ R (E) represents the measurement function of the ramp rate, R(E) represents the ramp rate of the response time period E, and R max is the maximum climbing rate; μ D (E) represents the duration measurement function, D(E) represents the duration of the response time period E, and D min is the minimum duration.

[0086] Step 4.2: Standardize each of the measurement functions to establish a multidimensional comprehensive measurement function:

[0087] μ(E)=αμ T (E) * +βμ R (E) * +γμ D (E)*

[0088] In the formula, μ T (E) * , μ R (E) and * μ D (E)* are the standardized values ​​of the measurement functions of the start delay, ramp rate and duration respectively; α, β and γ are the set first weight coefficient, second weight coefficient and third weight coefficient respectively, wherein the values ​​of the dimensional weight coefficients α, β and γ are set according to the actual demand response event requirements, and α+β+γ=1.

[0089] Step 4.3: Based on the multidimensional comprehensive measurement function, calculate the multidimensional comprehensive measurement function value of the branch in this response. If its value is higher than the set threshold, the branch’s response is confirmed to be legal; otherwise, the branch is deemed illegal in this response.

[0090] The following further illustrates the application of the load response metering and monitoring method for industrial and commercial users provided by the embodiment of the present invention through specific experimental calculations.

[0091] Suppose an industrial user has a total of 6 branches, and a user gateway meter is installed at the entrance. The branches that can participate in the regulation are A, C, and D. Branch measurement and control units are installed on branches A, C, and D. On a summer day, demand response is carried out from 12:00 to 14:00, and the user participates in this response. From 12:00 to 13:00, branches A, C, and D participate in the response, and from 13:00 to 14:00, only branch A participates in the response.

[0092] First, the power freeze data of the industrial user gateway meter and the measurement and control units of branches A, C, and D from 12:00 to 14:00 are called up, and the freeze interval is 10 minutes. The specific data is shown in Table 1:

[0093] Table 1

[0094] Serial number time Power meter Branch A power Branch C power Branch D power 1 12:00 2000 500 400 300 2 12:15 1960 470 370 270 3 12:30 1920 440 340 240 4 12:45 1880 410 310 210 5 13:00 1840 380 280 180 6 13:15 1800 350 250 150 7 13:30 1760 320 220 120 8 13:45 1720 290 190 90 9 14:00 1680 260 160 60

[0095] According to the data in Table 1, the gateway table power change sequence and the branch A, C, D power change sequence X are generated. A , Xc, X Dhand Y1 represent the change sequence of the power of the gateway meter from 12:00 to 13:00, Y2 represents the change sequence of the power of the gateway meter from 13:00 to 14:00, X A1 , Xc1, X D1 It represents the sequence of power changes of branches A, C, and D from 12:00 to 13:00, X A2 , Xc2, X D2 It shows the sequence of power changes of branches A, C, and D from 13:00 to 14:00.

[0096] Use the correlation coefficient calculation formula in step 2 to calculate the correlation coefficient r between the power change sequence of branches A, C, and D and the power change sequence Y of the gateway table during 12:00 to 13:00 and 13:00 to 14:00 respectively. A 、r C 、r D .

[0097] From 12:00 to 13:00, the power data sequence of branch A is X A1 ={x1,x2,x3,x4}, the power data sequence Y1 of the user gateway table ={y1,y2,y3,y4}, according to the calculation, we can get r A =0.99, r C =0.98, r D =0.97;

[0098] From 13:00 to 14:00, the power data sequence of branch A is X A1 ={x5,x6,x7,x8}, the power data sequence Y2 of the user gateway table ={y5,y6,y7,y8}, according to the calculation, we can get r A '=-0.3.

[0099] Furthermore, the allowable interval of the correlation coefficient is set to 0.9 to 1.0 based on experience to determine the consistency of the data change trend. The correlation coefficients of routes A, C, and D from 12:00 to 13:00 are r A 、r C 、r D In the allowable interval [0.9,1.0], it means that the total entrance changes of the branch and the gateway table are consistent, and the branch response is determined to be effective. The correlation coefficient r of branch A during the period from 13:00 to 14:00 A 'If it is not within the allowable range, it is considered that the data of branch A during this period is inconsistent with the change trend of the gateway table data, and the response quantity needs to be further verified.

[0100] In this embodiment, the adjustment amount of branch A during 13:00 to 14:00 is relatively small, which is not enough to affect the gateway table data. The legitimacy of the branch response is judged considering the branch load characteristics. The specific process is as follows:

[0101] (1) Define the measurement space of load characteristics: Let T = {13:00-14:00} be the set of response time periods, Ω be a function of T, representing the events that can be measured, and μ be a measure on T, representing the effectiveness of the response time period.

[0102] The measurement function μ1 of the startup delay, assuming that the maximum startup delay is 10 minutes, here branch A has no startup delay, μ1(t) = 0;

[0103] Climbing rate measurement function Assuming the maximum ramp rate is 5 kWh / 15 minutes, γ climb is the actual ramp rate. It is known that the power consumption of branch A is 300 kWh less during the period of 13:00-14:00, μ2(t) = -15, which is set to 0 after standardization;

[0104] Duration measurement function Assuming a minimum duration of 30 minutes, t dur is the actual duration, μ3(t)=1.

[0105] (2) Establish a multidimensional comprehensive measurement function, set the weights α = 0.3, β = 0.4, γ = 0.3, and calculate μ(t) = aμ1(t) + βμ2(t) + γμ3(t) = 0.3.

[0106] (3) Assuming that the threshold of the multidimensional measurement function value is set to 0.2 according to the actual demand response event requirements, the response amount of branch A within the response time period is determined to be valid. The actual response amount of this response period is based on the sum of the response amounts of each branch.

[0107] At the same time, an embodiment of the present invention also provides a management system for load response of industrial and commercial users, the system specifically includes: a new power load management system, a smart energy unit and an industrial and commercial user load system which are sequentially connected in communication, wherein the new power load management system includes a metering detection device, the metering detection device is used to run the steps of a metering monitoring method for load response of industrial and commercial users provided in the above embodiment to verify the user response amount;

[0108] In this embodiment, the metering and detection device in the new power load management system includes:

[0109] The collection module is used to collect the power data of the user gateway table and each branch within its jurisdiction that can participate in the response adjustment during this response period;

[0110] The calculation module is used to calculate the correlation coefficient between the power data of each branch and the user's gateway table, and determine whether the change trend of the power data of each branch is consistent with the power data of the user's gateway table;

[0111] The first metering module is used to confirm that the responses of each branch are valid if the judgment results of each branch are consistent, and to perform metering based on the response amount of each branch;

[0112] An approval module, used for further approving the legitimacy of the branch response according to the load characteristics of the branch if there is an inconsistent branch;

[0113] The second metering module is used to measure the power data of the response at the user gateway meter if there is an illegal branch; otherwise, the sum of the power data of all branches is used as the actual response amount of this response.

[0114] In the calculation module of this embodiment, the calculation formula of the correlation coefficient is as follows:

[0115]

[0116] In the formula, r k represents the correlation coefficient between the power data of branch k and the power data of the user gateway table; k = 1, 2...K; K represents the number of branches that can participate in the response adjustment within the scope of the jurisdiction; I represents the total number of times the power data is collected during this response period; X k i represents the power data of branch k collected for the i-th time; represents the average value of the power data of the kth branch collected during this response period; Y i Indicates the power data of the user gateway table collected for the i-th time; Indicates the average value of the power data of the user gateway meter collected during this response period.

[0117] In this embodiment, the calculation module includes:

[0118] The judging unit is used to judge whether the correlation coefficient between the power data of each branch and the user gateway table falls within the set allowable range, that is, r min ≤r k ≤r max ; Among them, r k Represents the correlation coefficient between the power data of branch k and the power data of the user gateway table, r min and r max Respectively represent the set lower and upper limits of the correlation coefficient;

[0119] The determination unit is used to determine that if the determination result of the determination unit is yes, then the power data of the branch k is considered to be consistent with the change trend of the power data of the user gateway meter; if not, then it is considered to be inconsistent.

[0120] In this embodiment, the approval module includes:

[0121] A construction unit, used to construct corresponding measurement functions according to the start-up delay, ramp rate and duration characteristics of the branch;

[0122] An establishing unit, used for respectively performing standardization processing on each of the measurement functions to establish a multi-dimensional comprehensive measurement function;

[0123] The confirmation unit is used to calculate the multidimensional comprehensive measurement function value of the branch in this response based on the multidimensional comprehensive measurement function. If its value is higher than the set threshold, the branch’s response is confirmed to be legal; otherwise, the branch is deemed illegal in this response.

[0124] Furthermore, in the construction unit, the expressions of the measurement functions of the ramp rate, start delay and duration are as follows:

[0125]

[0126] In the formula, μ T (E) represents the measurement function of the startup delay, T(E) represents the startup delay of the response time period E, T max is the maximum start-up delay; μ R (E) represents the measurement function of the ramp rate, R(E) represents the ramp rate of the response time period E, and R max is the maximum climbing rate; μ D (E) represents the duration measurement function, D(E) represents the duration of the response time period E, and D min is the minimum duration.

[0127] Optionally, in the establishment unit, the expression of the multidimensional comprehensive measurement function is as follows:

[0128] μ(E)=αμ T (E) * +βμ R (E) * +γμ D (E)*

[0129] In the formula, μ T (E) * , μ R (E) and * μ D (E)* are the standardized values ​​of the measurement functions of the start delay, climbing rate and duration respectively; α, β and γ are the set first weight coefficient, second weight coefficient and third weight coefficient respectively, α+β+γ=1.

[0130] like Figure 2As shown, the specific architecture composition of the management system for load response for industrial and commercial users provided in an embodiment of the present invention, wherein a branch measurement and control unit is installed on each branch that can participate in the response and regulation in the industrial and commercial user load system, that is, based on the electricity consumption information collection system, a branch measurement and control unit is added on the basis of the user gateway table to realize real-time monitoring of the operating conditions of the branch loads that actually participate in the load regulation response, and the calculation of the response amount of the industrial and commercial users is delegated to the side terminal equipment for completion, which is approved and released by the new power load management system, so as to solve the problems that the user gateway total table cannot reflect the contribution of the branch rapid regulation, the characteristics of the adjustable load are complex and difficult to calculate, and the user load response amount is difficult to ensure fair and just settlement, so as to adapt to the measurement and accounting requirements for the refined regulation of the branch load under the construction of the new power system, support the load-side resources to participate in the balance of power supply and demand at all time scales, and help the new load management business to develop in the direction of integration, production, refinement and fairness.

[0131] As an embodiment of the present invention, in the management system, the new power load management system is used to issue response control instructions to each smart energy unit; the smart energy unit is used to decompose the response control instructions issued by the new power load management system, and then issue the decomposed branch control tasks to each branch user within its jurisdiction to perform load adjustment, and send the user gateway meter measurement data within its jurisdiction and the load response data reported by each branch measurement and control unit to the new power load management system master station.

[0132] Furthermore, the management system for load response of industrial and commercial users provided in this embodiment includes the following steps during regulation:

[0133] (1) Before the response begins, the new power load management system sends the response task and the verified user baseline to the smart energy unit. The smart energy unit decomposes the response task and sends the response adjustment task and branch load baseline to the branch measurement and control unit.

[0134] (2) During the response process, the branch measurement and control unit regularly sends the branch load operation status and power regulation curve according to the set sending cycle, and draws the original response curve in real time based on the baseline;

[0135] (3) After the response is completed, the branch measurement and control unit sends the original response curve to the smart energy unit. The smart energy unit aggregates the response curves of the branches under its jurisdiction, calculates the actual response of the user gateway based on the power data measured by the user's total meter, and sends the user gateway and branch response information to the new power load management system. The master station makes a consistency judgment on the branch and gateway response quantities, and comprehensively confirms the user's adjustment response quantity from the user level.

[0136] (4) During the process of approving the response quantity, if the master station of the new power load management system questions the calculation results of the terminal, it can issue a data tracing instruction to the smart energy unit. The smart energy unit issues an original data reporting instruction to the branch measurement and control unit according to the instruction. The branch measurement and control unit immediately executes the instruction and packages the power regulation curve and the original response quantity curve of the required time period to the smart energy unit. After the smart energy unit aggregates the information, it is transparently transmitted to the new power load management system.

[0137] A preferred but non-restrictive embodiment, the branch measurement and control unit has the ability to collect data in seconds and calculate the response curve in minutes. The sampling frequency is adaptively selected for events of different response levels to achieve real-time tracking of the operating status of the branch load, such as frequency modulation. The monitoring of the load operating status can be adaptively switched from the normal minute level to the second level; according to the real-time power regulation curve during the branch load response period, the difference between the branch load regulation power and the baseline during the response period is calculated, and the original response curves in minutes and seconds are drawn, which are sent to the smart energy unit, thereby supporting the calculation of multi-time scale regulation response quantities of industrial and commercial loads.

[0138] In addition, the branch measurement and control unit follows the set sending cycle. Before the response event starts, the smart energy unit sends the instructions set by the reporting mechanism to the branch measurement and control unit. After receiving the instructions, the branch measurement and control unit sets the reporting cycle according to the response event level: the response reporting cycle for the day before and within the day is 15 minutes, the response reporting cycle for the hourly level is 5 minutes, the response reporting cycle for the minute level is 1 minute, and the response reporting cycle for the second level is real-time reporting.

[0139] In this embodiment, the new power load management system judges the consistency of branch and gateway response quantities. If the level of demand response is day-ahead, intraday or hourly, the response quantity is calculated mainly based on the metering data of the gateway meter. According to the response trend of the user's gateway meter, the impact of the branch that is inconsistent with the response at the gateway is eliminated to ensure the accuracy of the approved response quantity. If the level of demand response is minute or second, the branch response quantity is inconsistent with the response quantity at the gateway, and the branch response quantity needs to be further approved. In this scenario, the branch load response data is submerged in the data of the gateway meter. Combined with the specific response task, the legitimacy of the response is judged according to the branch load monitoring data and the response characteristics of the specific response load of the branch, thereby ensuring the accuracy of the approved response quantity.

[0140] Further, as attached Figure 3 As shown, based on the composition architecture of the management system designed by the present invention, a control process based on the interaction of metering and monitoring data is designed, and the specific control implementation includes the following processes:

[0141] First, the new power load management system master station issues a response task, and the smart energy unit issues a reporting mechanism instruction to the branch measurement and control unit, requiring the branch measurement and control unit to set a reporting cycle. The day-ahead and day-intraday responses can be set to 15 minutes, the minute-level response can be set to 5 minutes / 1 minute, and the second-level response can be set to real-time reporting. The branch measurement and control unit completes the reporting cycle setting;

[0142] Secondly, the branch measurement and control unit adaptively switches the collection mode according to the trigger signal of the response event, collects the power data of the branch load of industrial and commercial users at high frequency, and transmits the load operation data to the smart energy unit according to the set reporting cycle through RS485 cable, CAN bus, Ethernet or HPLC+HRF dual-mode communication module and other communication methods;

[0143] Before the response begins, the new power load management system master station sends the approved user baseline, the smart energy unit decomposes the user's baseline data, and sends the branch load baseline to the branch measurement and control unit, which receives and stores it;

[0144] During the response process, the branch measurement and control unit regularly sends the power regulation curve and calculates the response amount based on the stored baseline. The response amount is the difference between the load power value and the baseline. The original response amount curve is drawn in real time. If the response is a second-level regulation, the branch measurement and control unit switches to the second-level acquisition mode, calculates and stores the power change value at a time interval of at least 1s, and sends it to the smart energy unit in real time;

[0145] After the response is completed, the branch measurement and control unit sends the original response curve to the smart energy unit. The smart energy unit aggregates the response of the branches under its jurisdiction, obtains the power data of the user gateway table, and comprehensively calculates the actual response of the user gateway based on the user gateway table data;

[0146] Finally, the smart energy unit sends the calculation results of the user's threshold and branch response quantity to the main station of the new power load management system. The main station makes judgments on the consistency of the response quantity threshold and branch, and comprehensively confirms the user's control response quantity from the user level. If the main station of the new power load management system is in the process of approving and confirming the response quantity, the main station can issue a data tracing instruction to the smart energy unit, and the branch measurement and control unit sends the original data of the required time period to the smart energy unit, which will then summarize and transmit it to the main station.

[0147] The beneficial effects of the present invention are as follows:

[0148] The metering and monitoring method for load response of industrial and commercial users provided by the present invention can realize real-time monitoring of branch load operating conditions and accurate metering of load response quantity, and accurately reflect the response quality and contribution of branch adjustable load through metering and verification of actual response quantity of branch load based on gateway response quantity, solve the problems of insufficient refined monitoring and response quantity accounting capabilities when user branches participate in demand response of different time scales and multiple branches participate in demand response of different time scales at the same time, ensure fair and just settlement of response quantity, improve the reliability of load data regulation of power grid, ensure the rationality and fairness of the benefits of adjustable load participating in demand response of industrial and commercial users, and provide effective data support for more accurate and effective load regulation for power grid and industrial and commercial users.

[0149] The management system for load response for industrial and commercial users provided by the present invention is equipped with a branch measurement and control unit on each branch that can participate in response regulation, so as to realize the forward movement of user load monitoring from the gateway total meter to the branch, and realize 1 minute or even second level monitoring of branch load or equipment, so as to solve the problem that the regulation amount of user's small capacity and fast response load cannot be seen from the user's gateway load, and can accurately evaluate the response effect of rapid increase or decrease of load, and can accurately measure and approve the response amount of industrial and commercial users participating in responses of different time scales, and effectively realize refined load management, so as to support industrial and commercial users to participate in wider and deeper regulation of power grids, such as emergency response, power grid peak regulation, frequency regulation and other regulation scenarios.

[0150] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0151] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0152] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0153] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0154] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for measuring and monitoring load response for industrial and commercial users, characterized in that: Methods include: Collect the electricity data of the user gateway table and each branch within its jurisdiction that can participate in the response regulation during this response period; Calculate the correlation coefficient between the power data of each branch and the user's gateway table respectively, and determine whether the change trend of the power data of each branch is consistent with the power data of the user's gateway table; If the judgment results of each branch are consistent, it is confirmed that the response of each branch is valid, and the measurement is based on the response of each branch; If there is an inconsistent branch, the legitimacy of the branch response will be further verified based on the load characteristics of the branch; If there is an illegal branch, the power data responded at the user's gateway meter shall be used for measurement; otherwise, the sum of the power data of all branches shall be used as the actual response amount of this response.

2. The method for measuring and monitoring load response for industrial and commercial users according to claim 1 is characterized in that: The calculation formula of the correlation coefficient is as follows: In the formula, r k represents the correlation coefficient between the power data of branch k and the power data of the user gateway table; k = 1, 2...K; K represents the number of branches that can participate in the response adjustment within the scope of the jurisdiction; I represents the total number of times the power data is collected during this response period; X k i represents the power data of branch k collected for the i-th time; represents the average value of the power data of the kth branch collected during this response period; Y i Indicates the power data of the user gateway table collected for the i-th time; Indicates the average value of the power data of the user gateway meter collected during this response period.

3. The metering and monitoring method for load response of industrial and commercial users according to claim 2 is characterized in that: The step of determining whether the change trend of the power data of each branch is consistent with the power data of the user gateway meter includes: Determine whether the correlation coefficient between the power data of each branch and the user gateway table falls within the set allowable range, that is, r min ≤r k ≤r max ; Among them, r k Represents the correlation coefficient between the power data of branch k and the power data of the user gateway table, r min and r max Respectively represent the set lower and upper limits of the correlation coefficient; If yes, it is considered that the power data of the branch k is consistent with the change trend of the power data of the user gateway meter; if no, it is considered that they are inconsistent.

4. The method for measuring and monitoring load response for industrial and commercial users according to claim 1 is characterized in that: The step of further verifying the legitimacy of the branch response according to the load characteristics of the branch includes: According to the starting delay, ramp rate and duration characteristics of the branch, the corresponding measurement functions are constructed respectively; Standardizing each of the measurement functions to establish a multi-dimensional comprehensive measurement function; Based on the multidimensional comprehensive measurement function, the multidimensional comprehensive measurement function value of the branch in this response is calculated. If its value is higher than the set threshold, the branch's response is confirmed to be legal; otherwise, the branch is deemed illegal in this response.

5. The method for measuring and monitoring load response for industrial and commercial users according to claim 4 is characterized in that: The expressions of the measurement functions of the ramp rate, start delay and duration are as follows: In the formula, μ T (E) represents the measurement function of the startup delay, T(E) represents the startup delay of the response time period E, T max is the maximum start-up delay; μ R (E) represents the measurement function of the ramp rate, R(E) represents the ramp rate of the response time period E, and R max is the maximum climbing rate; μ D (E) represents the duration measurement function, D(E) represents the duration of the response time period E, and D min is the minimum duration.

6. The method for measuring and monitoring load response for industrial and commercial users according to claim 4 is characterized in that: The expression of the multidimensional comprehensive measurement function is as follows: μ(E)=μμ T (E) * +vm R (E) * +gm D (E)* In the formula, μ T (E) * , μ R (E) and * μ D (E)* are the standardized values ​​of the measurement functions of the start delay, climbing rate and duration respectively; α, β and γ are the set first weight coefficient, second weight coefficient and third weight coefficient respectively, α+β+γ=1.

7. A management system for load response of industrial and commercial users, comprising a metering monitoring device, wherein the metering monitoring device is used to run the metering monitoring method for load response of industrial and commercial users as claimed in any one of claims 1 to 6; characterized in that: The metering monitoring device comprises: The collection module is used to collect the power data of the user gateway table and each branch within its jurisdiction that can participate in the response adjustment during this response period; The calculation module is used to calculate the correlation coefficient between the power data of each branch and the user's gateway table, and determine whether the change trend of the power data of each branch is consistent with the power data of the user's gateway table; The first metering module is used to confirm that the responses of each branch are valid if the judgment results of each branch are consistent, and to perform metering based on the response amount of each branch; An approval module, used for further approving the legitimacy of the branch response according to the load characteristics of the branch if there is an inconsistent branch; The second metering module is used to measure the power data of the response at the user gateway meter if there is an illegal branch; otherwise, the sum of the power data of all branches is used as the actual response amount of this response.

8. The management system for load response of industrial and commercial users according to claim 7, characterized in that: In the calculation module, the calculation formula of the correlation coefficient is as follows: In the formula, r k represents the correlation coefficient between the power data of branch k and the power data of the user gateway table; k = 1, 2...K; K represents the number of branches that can participate in the response adjustment within the scope of the jurisdiction; I represents the total number of times the power data is collected during this response period; X k i represents the power data of branch k collected for the i-th time; represents the average value of the power data of the kth branch collected during this response period; Y i Indicates the power data of the user gateway table collected for the i-th time; Indicates the average value of the power data of the user gateway meter collected during this response period.

9. The load response management system for industrial and commercial users according to claim 8, characterized in that: The calculation module comprises: The judging unit is used to judge whether the correlation coefficient between the power data of each branch and the user gateway table falls within the set allowable range, that is, r min ≤r k ≤r max ; Among them, r k Represents the correlation coefficient between the power data of branch k and the power data of the user gateway table, r min and r max Respectively represent the set lower and upper limits of the correlation coefficient; The determination unit is used to determine that if the determination result of the determination unit is yes, then the power data of the branch k is considered to be consistent with the change trend of the power data of the user gateway meter; if not, then it is considered to be inconsistent.

10. The load response management system for industrial and commercial users according to claim 7, characterized in that: The approval module includes: A construction unit, used to construct corresponding measurement functions according to the start-up delay, ramp rate and duration characteristics of the branch; An establishing unit, used for respectively performing standardization processing on each of the measurement functions to establish a multi-dimensional comprehensive measurement function; The confirmation unit is used to calculate the multidimensional comprehensive measurement function value of the branch in this response based on the multidimensional comprehensive measurement function. If its value is higher than the set threshold, the branch’s response is confirmed to be legal; otherwise, the branch is deemed illegal in this response.

11. The load response management system for industrial and commercial users according to claim 10, characterized in that: In the construction unit, the expressions of the measurement functions of the ramp rate, start delay and duration are as follows: In the formula, μ T (E) represents the measurement function of the startup delay, T(E) represents the startup delay of the response time period E, T max is the maximum start-up delay; μ R (E) represents the measurement function of the ramp rate, R(E) represents the ramp rate of the response time period E, and R max is the maximum climbing rate; μ D (E) represents the duration measurement function, D(E) represents the duration of the response time period E, and D min is the minimum duration.

12. The management system for load response of industrial and commercial users according to claim 10, characterized in that: In the establishment unit, the expression of the multidimensional comprehensive measurement function is as follows: μ(E)=μμ T (E) * +bm R (E) * +gm D (E)* In the formula, μ T (E) * , μ R (E) and * μ D (E)* are the standardized values ​​of the measurement functions of the start delay, climbing rate and duration respectively; α, β and γ are the set first weight coefficient, second weight coefficient and third weight coefficient respectively, α+β+γ=1.

13. The load response management system for industrial and commercial users according to claim 7, characterized in that: The management system also includes a new type of power load management system, a smart energy unit and an industrial and commercial user load system that are sequentially connected in communication; the new type of power load management system includes a metering monitoring device as described in any one of claims 7 to 12; A branch measurement and control unit is installed on each branch that can participate in the response regulation in the industrial and commercial user load system to achieve real-time monitoring of the operating conditions of the branch loads that actually participate in the load regulation response.

14. The management system for load response of industrial and commercial users according to claim 13, characterized in that: The branch measurement and control unit transmits the branch load response data to the smart energy unit to which it belongs according to the set reporting cycle through the communication mode of RS485 cable, CAN bus, Ethernet or HPLC+HRF dual-mode communication module.

15. The management system for load response of industrial and commercial users according to claim 13, characterized in that: The new power load management system is used to issue response control instructions to each smart energy unit; the smart energy unit is used to decompose the response control instructions issued by the new power load management system, and then issue the decomposed branch control tasks to each branch user within its jurisdiction to perform load adjustment, and send the user gateway meter measurement data within its jurisdiction and the load response data reported by each branch measurement and control unit to the new power load management system master station.

16. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-6.

17. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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