Power utilization index decomposition method
By decomposing the electricity consumption index curves of various industries and residents in the target districts and counties, and taking the electricity consumption gap by the secondary and tertiary industries, the problem of difficulty in effectively managing electricity consumption indicators in the existing technology is solved, and a better understanding and management of electricity resources is achieved, and the stability and economicality of electricity supply is ensured.
Patent Information
- Application Number
- CN202411703179.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-26
- Publication Date
- 2025-03-14
AI Technical Summary
The existing technology is difficult to effectively decompose and manage power consumption indicators of power systems or specific users, affecting power grid planning, operation scheduling, energy management and power market operations.
By determining the electricity demand load and gap of various industries and residents in the target districts and counties, based on these data, the electricity consumption index curve of each industry and residents is decomposed, and the electricity consumption gap is borne by the secondary industry and the tertiary industry, and the electricity consumption index curve of districts and counties is finally determined.
A better understanding and management of the electricity demand and load conditions of each target district and county have been achieved, and the stability and economicality of power supply have been ensured.
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Figure CN119624229A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of electric power technology, and in particular to a method for decomposing electric power consumption indicators. Background Art
[0002] Electricity consumption indicators are a series of parameters used to measure the power consumption or power demand of a power system or a specific user within a certain period of time. These indicators are crucial for grid planning, operation and dispatching, energy management, and power market operations. Summary of the invention
[0003] In view of the above situation, an embodiment of the present application provides a method for decomposing electricity consumption indicators, aiming to solve the above problem or at least partially solve the above problem.
[0004] In a first aspect, an embodiment of the present application provides a method for decomposing electricity consumption indicators, the method comprising: determining an electricity consumption indicator curve for the primary industry in the target county based on the electricity demand load of the primary industry in the target county; determining an electricity consumption indicator curve for the secondary industry in the target county based on the electricity gap in the secondary industry in the target county and the electricity demand load of the secondary industry in the target county; determining an electricity consumption indicator curve for the tertiary industry in the target county based on the electricity gap in the tertiary industry in the target county and the electricity demand load of the tertiary industry in the target county; determining an electricity consumption indicator curve for residents in the target county based on the electricity demand load of the residents in the target county; determining an electricity consumption indicator curve for the target county based on the electricity consumption indicator curve for the primary industry in the target county, the electricity consumption indicator curve for the secondary industry in the target county, the electricity consumption indicator curve for the tertiary industry in the target county, and the electricity consumption indicator curve for the residents in the target county.
[0005] In the second aspect, the embodiment of the present application also provides a device for decomposing electricity consumption indicators, including: a processing module, used to determine the electricity consumption index curve of the primary industry of the target county based on the electricity demand load of the primary industry of the target county; determine the electricity consumption index curve of the secondary industry of the target county based on the electricity gap of the secondary industry of the target county and the electricity demand load of the secondary industry of the target county; determine the electricity consumption index curve of the tertiary industry of the target county based on the electricity gap of the tertiary industry of the target county and the electricity demand load of the tertiary industry of the target county; determine the electricity consumption index curve of residents of the target county based on the electricity demand load of the residents of the target county; determine the electricity consumption index curve of the target county based on the electricity consumption index curve of the primary industry of the target county, the electricity consumption index curve of the secondary industry of the target county, the electricity consumption index curve of the tertiary industry of the target county and the electricity consumption index curve of the residents of the target county.
[0006] In a third aspect, an embodiment of the present application further provides an electronic device, comprising: a processor; and a memory arranged to store computer executable instructions, wherein the executable instructions, when executed, cause the processor to perform the steps of the first aspect described above.
[0007] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, which stores one or more programs. When the one or more programs are executed by an electronic device including multiple application programs, the electronic device executes the steps of the above-mentioned second aspect.
[0008] At least one of the above-mentioned technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects: on the basis of ensuring the electricity demand load of the primary industry and the electricity load of residents, a solution is adopted in which the electricity gap is borne by the secondary and tertiary industries, and the electricity consumption indicators of the primary industry in the target county, the electricity consumption indicators of the secondary industry in the target county, the electricity consumption indicators of the tertiary industry in the target county, and the electricity consumption indicators of the residents in the target county are allocated. Finally, the electricity consumption indicator curve of the target county is determined, so that the electricity demand load situation of each target county can be known, and the power resources can be better understood and managed to ensure the stability and economy of the power supply. BRIEF DESCRIPTION OF THE DRAWINGS
[0009] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:
[0010] Figure 1 A schematic diagram showing a flow chart of a method for decomposing electricity consumption indicators provided in an embodiment of the present application is shown;
[0011] Figure 2 A structural diagram of a device for decomposing electricity consumption indicators provided in an embodiment of the present application is shown;
[0012] Figure 3 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION
[0013] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.
[0014] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that such use is interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the term "including" and its variants are to be interpreted as open-ended terms meaning "including but not limited to".
[0015] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.
[0016] Figure 1 A schematic diagram of a method for decomposing electricity consumption indicators provided in an embodiment of the present application is shown, from Figure 1 It can be seen that the present application at least includes steps S101 to S105:
[0017] Step S101: Determine the electricity consumption index curve of the primary industry in the target county based on the electricity demand load of the primary industry in the target county.
[0018] Considering the principle of giving priority to the protection of people's livelihood electricity, the electricity demand load of the primary industry in the district and county needs to be fully met, and no electricity gap is set. Therefore, the electricity consumption index of the primary industry is set to its electricity demand load. That is: D 1_k =A 1_k , where D 1_k A represents the electricity consumption index curve of the primary industry in the target county k, 1_k Represents the electricity demand load of the primary industry in the target county k.
[0019] Step S102: Based on the electricity consumption gap of the secondary industry in the target county and the electricity demand load of the secondary industry in the target county, determine the electricity consumption index curve of the secondary industry in the target county.
[0020] Due to the principle of giving priority to the protection of electricity for people's livelihood, all electricity gaps are borne by the secondary and tertiary industries. The electricity consumption index curve of the secondary industry in the target county k is expressed as: D 2_k =A 2_k -B 2_k Among them, D 2_k A represents the electricity consumption index curve of the secondary industry in the target county k. 2_k represents the electricity demand load of the secondary industry in the target county k, B 2_k Represents the electricity consumption gap of the secondary industry in the target district or county k.
[0021] Step S103: Based on the electricity consumption gap of the tertiary industry in the target county and the electricity demand load of the tertiary industry in the target county, determine the electricity consumption index curve of the tertiary industry in the target county.
[0022] Due to the principle of giving priority to the protection of electricity for people's livelihood, all electricity gaps are borne by the secondary and tertiary industries. The electricity consumption index curve of the tertiary industry in the target county k is expressed as: D 3_k =A 3_k -B 3_k Among them, D 3_k A represents the electricity consumption index curve of the tertiary industry in the target county k. 3_k represents the electricity demand load of the tertiary industry in the target county k, B 3_k It represents the electricity consumption gap of the tertiary industry in the target district or county k.
[0023] Step S104: Determine the electricity consumption index curve of the residents in the target county based on the electricity demand load of the residents in the target county.
[0024] Similar to step S101, considering the principle of giving priority to the protection of people's livelihood electricity, the electricity demand load of county residents needs to be fully met, and no electricity gap is set. Therefore, the electricity consumption index of residents is set to their electricity demand load. That is: D 4_k =A 4_k , where D 4_k A represents the electricity consumption index curve of residents in the target county k, 4_k Represents the electricity demand load of residents in the target district or county k.
[0025] Step S105: Determine the district and county electricity consumption index curve based on the target district and county's primary industry electricity consumption index curve, the target district and county's secondary industry electricity consumption index curve, the target district and county's tertiary industry electricity consumption index curve, and the target district and county's residents' electricity consumption index curve.
[0026] In some embodiments, the electricity consumption index curve of the target county k is determined by the sum of the electricity consumption index curves of the primary industry, the secondary industry, the tertiary industry and the residents of the county, that is:
[0027] F k =D 1_k +D 2k +D 3_k +D 4_k
[0028] Among them, F k is the electricity consumption index curve of the target county k, D 1_k is the electricity consumption index curve of the primary industry in the target county k, D 2_k represents the electricity consumption index curve of the secondary industry in the target county k, D 3_k represents the electricity consumption index curve of the tertiary industry in the target county k, D 4_k Represents the electricity consumption index curve of residents in the target district or county k.
[0029] from Figure 1It can be seen from the method shown that, on the basis of ensuring the electricity demand load of the primary industry and the electricity load of residents, this application adopts a plan in which the electricity gap is borne by the secondary and tertiary industries, and allocates the electricity consumption indicators of the primary industry in the target county, the electricity consumption indicators of the secondary industry in the target county, the electricity consumption indicators of the tertiary industry in the target county, and the electricity consumption indicators of the residents in the target county. Finally, the electricity consumption indicator curve of the target county is determined, so that the electricity demand load situation of each target county can be known, and the power resources can be better understood and managed to ensure the stability and economy of the power supply.
[0030] It is worth noting that the order of the above steps S101-S105 does not represent the implementation order of the present application scheme. When implementing the present application scheme, any one of the steps S101-S104 can be executed first.
[0031] The following describes how to determine the various parameters involved in the above steps S101 to S105.
[0032] 1. Electricity demand load A of the primary industry in target county k 1_k
[0033] Considering the principle of giving priority to the electricity demand of the primary industry, and considering its small proportion and insensitivity to weather, A 1_k The maximum power load of the primary industry in the target district or county during the historical period is used to determine the power load. For example, the power load of the primary industry on the day with the maximum power load in the previous two years is selected as A. 1_k .
[0034] 2. Electricity demand load A of the secondary industry in target county k 2_k
[0035] In some embodiments, the electricity demand load of the secondary industry of the target county is determined based on the proportion of the electricity demand load of the secondary industry of the target county to the electricity demand load of the secondary industry of the entire city and the electricity demand load of the secondary industry of the entire city the next day. 2_k =P 2_k *A2. Among them, A 2_k represents the electricity demand load of the secondary industry in the target county k, P 2_k It represents the proportion of the electricity demand load of the secondary industry in the target county k in the total electricity demand load of the secondary industry in the whole city, and A2 represents the electricity demand load of the secondary industry in the whole city on the next day.
[0036] In some embodiments, the proportion of the electricity demand load of the secondary industry in the target county k to the electricity demand load of the secondary industry in the whole city is P 2_k The electricity demand load of the secondary industry in the target district or county at the third preset time and the electricity demand load of the secondary industry in the entire city at the third preset time are determined.
[0037] Among them, the third preset time can be multiple preset times. For example, the proportion of the electricity demand load of the secondary industry in the target county k in the electricity demand load of the secondary industry in the whole city is determined based on the electricity demand load of the secondary industry in the target county at the third preset time 1, the electricity demand load of the secondary industry in the whole city at the third preset time 1, the electricity demand load of the secondary industry in the target county at the third preset time 2, the electricity demand load of the secondary industry in the whole city at the third preset time 2, the electricity demand load of the secondary industry in the target county at the third preset time 3, the electricity demand load of the secondary industry in the whole city at the third preset time 3, and the weight. The expression of the electricity demand load of the secondary industry in the target county k is as follows:
[0038]
[0039] Among them, P 2_k It represents the proportion of the electricity demand load of the secondary industry in the target county k in the electricity demand load of the secondary industry in the whole city, x1, x2, x3 represent weights, x1+x+x3=1. For example, x:x2:x3=1:1:8 or 2:2:6.
[0040] For example, taking the third preset time 1 as 2022.8.3, the third preset time 2 as May 2024, and the third preset time 3 as the last two days, then
[0041]
[0042] It is worth noting that the electricity demand load of the secondary industry has a distinct weekly cycle, that is, the load on weekdays is higher than that on weekends, the load on Sundays is the lowest, and the load on Saturdays is the second lowest. Therefore, when determining the third preset time, weekends and non-weekends should be determined separately, that is, if the electricity consumption index day to be determined is a weekday, the nearest five weekdays are selected, and if the electricity consumption index day to be determined is a non-working day, the nearest two non-working days are selected.
[0043] 3. Electricity demand load A of the tertiary industry in target county k 3_k
[0044] In some embodiments, the electricity demand load of the tertiary industry in the target county is determined based on the proportion of the electricity demand load of the tertiary industry in the target county to the electricity demand load of the tertiary industry in the entire city and the electricity demand load of the tertiary industry in the entire city the next day. 3_k =P 3_k *A3. Among them, A 3_k represents the electricity demand load of the tertiary industry in the target county k, P 3_k It represents the proportion of the electricity demand load of the tertiary industry in the target county k in the total electricity demand load of the tertiary industry in the whole city, and A3 represents the electricity demand load of the tertiary industry in the whole city on the next day.
[0045] In one implementation, the proportion of the electricity demand load of the tertiary industry in the target county to the electricity demand load of the tertiary industry in the entire city is determined based on the electricity demand load of the tertiary industry in the target county at a fourth preset time and the electricity demand load of the tertiary industry in the entire city at the fourth preset time.
[0046] Among them, the fourth preset time can be multiple preset times. For example, the proportion of the electricity demand load of the tertiary industry in the target county k in the electricity demand load of the tertiary industry in the whole city is determined based on the electricity demand load of the tertiary industry in the target county at the fourth preset time 1, the electricity demand load of the tertiary industry in the whole city at the fourth preset time 1, the electricity demand load of the tertiary industry in the target county at the fourth preset time 2, the electricity demand load of the tertiary industry in the whole city at the fourth preset time 2, the electricity demand load of the tertiary industry in the target county at the fourth preset time 3, the electricity demand load of the tertiary industry in the whole city at the fourth preset time 3 and the weight. The expression of the electricity demand load of the tertiary industry in the target county k is as follows:
[0047]
[0048] Among them, P 3_k It represents the proportion of the electricity demand load of the tertiary industry in the target county k in the electricity demand load of the tertiary industry in the whole city, x4, x5, x6 represent weights, x4+x5+x6=1. For example, x4:x5:x6=1:1:8 or 2:2:6.
[0049] For example, the fourth preset time 1 is August 3, 2022, the fourth preset time 2 is May 2024, and the third preset time 3 is the past five days.
[0050]
[0051] 4. Electricity gap B of the secondary industry in target county k 2_k
[0052] In some embodiments, the electricity consumption gap B of the secondary industry in the target county k is 2_k It is determined based on the power consumption gap B2 of the city's secondary industry, the security load C2 of the city's secondary industry, the security load C2_k of the target district's secondary industry, and the power demand load A2 of the city's secondary industry. Among them, the security load includes the first-level whitelist load, the second-level whitelist load, and the security load of orderly power-consuming enterprises.
[0053] In one implementation, the electricity consumption gap B of the secondary industry in the target county k is 2_k Determined based on:
[0054]
[0055] In some embodiments, the electricity consumption gap B2 of the city's secondary industry is determined based on the city's total electricity consumption gap, where the city's total electricity consumption gap = the city's total electricity demand load - the city's total supply load.
[0056] In one implementation, B2=0.8*B, where B represents the total shortage of the entire city.
[0057] In some embodiments, the city's secondary industry electricity demand load A2 is determined based on the city's total electricity demand load, the city's primary industry electricity demand load, the city's residential electricity demand load, and the proportion of the city's secondary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity demand load.
[0058] In one implementation, the electricity demand load A2 of the city's secondary industry is determined based on the following method:
[0059] A2=P2*(A-A1-A4)
[0060] Among them, P2 represents the proportion of the city's secondary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity demand load, A represents the city's total electricity demand load, A1 represents the city's primary industry electricity demand load, and A4 represents the city's residential electricity demand load.
[0061] In some embodiments, the ratio P2 of the city's secondary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity demand load is determined based on the city's secondary industry electricity demand load at the first preset time and the sum of the city's secondary and tertiary industry electricity demand loads at the first preset time.
[0062] In one implementation, the proportion P2 of the city's secondary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity load is determined based on the city's secondary industry electricity demand load at the first preset time 1, the sum of the city's secondary and tertiary industries electricity demand loads at the first preset time 1, the city's secondary industry electricity demand load at the first preset time 2, the sum of the city's secondary and tertiary industries electricity demand loads at the first preset time 2, the city's tertiary industry electricity demand load at the first preset time 3, the city's secondary and tertiary industries electricity demand loads at the first preset time 3, and the weights. The expression of P2 is as follows:
[0063]
[0064] Among them, P2 represents the proportion of the city's secondary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity load, X1, X2, and X3 represent weights, and X1+X2+X3=1. For example, X1:X2:X3=1:1:8 or 2:2:6.
[0065] For example, taking the first preset time 1 as 2022.8.3, the first preset time 2 as May 2024, and the first preset time 3 as the last two days, then
[0066]
[0067] It is worth noting that the electricity demand load of the secondary industry has a distinct weekly cycle, that is, the load on weekdays is higher than that on weekends, the load on Sundays is the lowest, and the load on Saturdays is the second lowest. Therefore, when determining the third preset time, weekends and non-weekends should be determined separately, that is, if the electricity consumption index day to be determined is a weekday, the nearest five weekdays are selected, and if the electricity consumption index day to be determined is a non-working day, the nearest two non-working days are selected.
[0068] 5. Electricity gap B of the tertiary industry in target county k 3_k
[0069] In some embodiments, the electricity consumption gap B of the tertiary industry in the target county 3_k It is determined based on the power consumption gap B3 of the city's tertiary industry, the security load C3 of the city's tertiary industry, the security load C3_k of the target district and county's tertiary industry, and the power demand load A3 of the city's tertiary industry. Among them, the security load includes the first-level whitelist load, the second-level whitelist load, the security load of orderly power-consuming enterprises, and the security load.
[0070] In one implementation, the electricity consumption gap B of the tertiary industry in the target county k is 3_k Determined based on:
[0071]
[0072] In some embodiments, the electricity consumption gap B3 of the tertiary industry in the whole city is determined based on the total gap of the whole city, where the total gap of the whole city = the total electricity demand load of the whole city - the total supply load of the whole city.
[0073] In one implementation, B3=0.2*B, where B represents the total shortage of the entire city.
[0074] In some embodiments, the city's tertiary industry electricity demand load A3 is determined based on the city's total electricity demand load, the city's primary industry electricity demand load, the city's residential electricity demand load, and the city's secondary industry electricity demand load as a percentage of the sum of the city's secondary industry electricity demand load and the tertiary industry electricity demand load.
[0075] In one implementation, the electricity demand load A3 of the city's tertiary industry is determined based on the following method:
[0076] A3=P3*(A-A1-A4)
[0077] Among them, P3 represents the proportion of the city's tertiary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity demand load, A represents the city's total electricity demand load, A1 represents the city's primary industry electricity demand load, and A4 represents the city's residential electricity demand load.
[0078] In some embodiments, the proportion of the city's tertiary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity load is determined based on the city's tertiary industry electricity demand load at the second preset time and the sum of the city's secondary and tertiary industry electricity demand loads at the second preset time.
[0079] In one implementation, the proportion P3 of the city's tertiary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity load is determined based on the city's secondary industry electricity demand load at the second preset time 1, the sum of the city's secondary and tertiary industries electricity demand loads at the second preset time 1, the city's secondary industry electricity demand load at the second preset time 2, the sum of the city's secondary and tertiary industries electricity demand loads at the second preset time 2, the city's tertiary industry electricity demand load at the second preset time 3, the city's secondary and tertiary industries electricity demand loads at the second preset time 3, and the weights. The expression of P2 is as follows:
[0080]
[0081] Among them, P3 represents the proportion of the city's tertiary industry electricity demand load to the sum of the city's secondary industry electricity demand load and tertiary industry electricity load, X3, X4, X5 represent weights, X3+X4+X5=1. For example, X3:X4:X5=1:1:8 or 2:2:6.
[0082] For example, taking the second preset time 1 as 2022.8.3, the second preset time 2 as 2022.8.24, and the second preset time 3 as the past five days as an example,
[0083]
[0084] 6. Electricity demand load A of residents in target county k 4_k
[0085] In some embodiments, the electricity demand load A of residents in the target county 4_k It is determined based on the proportion of the electricity demand load of residents in the entire city and the electricity demand load of residents in the target districts and counties.
[0086] In one embodiment, A 4_k Determined based on:
[0087] A 4_k =A4*P 4_k
[0088] Among them, A4 represents the electricity demand load of the whole city's residents, P 4_k Indicates the proportion of electricity demand load of residents in the target district or county.
[0089] In some embodiments, the city's residential electricity demand load A4 is determined based on the city's residential electricity demand load on days with the same temperature within a historical period and the city's residential electricity demand load on dates that meet preset requirements within a historical period.
[0090] In one implementation, A4 is determined based on the following method:
[0091] A4=Residential demand load on the same temperature day*X7
[0092] +Residential demand load on dates that meet preset requirements within the historical time period*X8
[0093] Among them, X7 and X8 are weight coefficients.
[0094] In some embodiments, the electricity demand of residents in the target district or county accounts for P 4_k It is determined based on the residential electricity demand load of the target district or county in the meteorologically similar area to which it belongs and the residential electricity demand load of each district or county in the meteorologically similar area to which it belongs.
[0095] In one embodiment, P 4_k Determined based on:
[0096] P 4_k =W 4_k / ∑ All district and county residents' demand load W 4_k
[0097] Among them, W 4_k It represents the residential electricity demand load of the target county k in the meteorologically similar area to which it belongs.
[0098] In some embodiments, the meteorologically similar areas are determined based on historical meteorological data of various districts and counties within the city.
[0099] In one implementation, based on the historical meteorological data of all districts and counties in the city in recent years, comprehensive or independent meteorological indicators such as maximum temperature, average temperature, perceived temperature, and rainfall are used to perform cluster analysis on the meteorology of each district and county to obtain meteorologically similar areas.
[0100] In some embodiments, the residential electricity demand load W of the target county in the area with similar weather conditions is 4_k It is determined based on the residential electricity demand load on the same temperature day in the target county, the meteorological image coefficient of the meteorologically similar area to which the target county belongs, and the average residential electricity demand load in the target county during the preset time period of the year.
[0101] In one embodiment, W 4_k Determined based on:
[0102] W 4_k = 1st resident demand load of target county k with same temperature * meteorological influence coefficient of the region x1 + target county k with same temperature
[0103] Among them, the meteorological influence coefficient is the product of the perceived temperature influence coefficient, the high temperature cumulative effect coefficient, and the rainfall influence coefficient. The above correlation coefficients are obtained through statistical analysis of historical load data and load forecasting methods.
[0104] In some embodiments of the present application, a device for decomposing an electricity consumption index is provided, and the device for decomposing an electricity consumption index corresponds one-to-one to the method for decomposing an electricity consumption index in the above embodiment. Figure 2 As shown, the power consumption index decomposition device includes: a processing module 201. The detailed description of each functional module is as follows:
[0105] Processing module 201 is used to determine the electricity consumption index curve of the primary industry in the target county based on the electricity demand load of the primary industry in the target county; determine the electricity consumption index curve of the secondary industry in the target county based on the electricity gap of the secondary industry in the target county and the electricity demand load of the secondary industry in the target county; determine the electricity consumption index curve of the tertiary industry in the target county based on the electricity gap of the tertiary industry in the target county and the electricity demand load of the tertiary industry in the target county; determine the electricity consumption index curve of the residents in the target county based on the electricity demand load of the residents in the target county; determine the electricity consumption index curve of the target county based on the electricity consumption index curve of the primary industry in the target county, the electricity consumption index curve of the secondary industry in the target county, the electricity consumption index curve of the tertiary industry in the target county and the electricity consumption index curve of the residents in the target county.
[0106] In some embodiments of the present application, in the above-mentioned device, the electricity load of the primary industry in the target county is determined based on the maximum electricity load of the primary industry in the target county within a historical time period.
[0107] In some embodiments of the present application, in the above-mentioned device, the electricity gap of the secondary industry in the target district or county is determined based on the electricity gap of the secondary industry in the entire city, the security load of the secondary industry in the entire city, the security load of the secondary industry in the target district or county, and the electricity demand load of the secondary industry in the entire city; the electricity gap of the tertiary industry in the target district or county is determined based on the electricity gap of the tertiary industry in the entire city, the security load of the tertiary industry in the entire city, the security load of the tertiary industry in the target district or county, and the electricity demand load of the tertiary industry in the entire city; the security load includes the first-level whitelist load, the second-level whitelist load, and the security load of the orderly electricity consumption enterprise.
[0108] In some embodiments of the present application, in the above-mentioned device, the electricity gap of the secondary industry in the whole city and the electricity gap of the tertiary industry in the whole city are determined based on the total gap of the whole city; the electricity demand load of the secondary industry in the whole city is determined based on the total electricity demand load of the whole city, the electricity demand load of the primary industry in the whole city, the electricity demand load of the residents in the whole city, and the proportion of the electricity demand load of the secondary industry in the whole city to the sum of the electricity demand load of the secondary industry and the electricity load of the tertiary industry in the whole city; the electricity demand load of the tertiary industry in the whole city is determined based on the total electricity demand load of the whole city, the electricity demand load of the primary industry in the whole city, the electricity demand load of the residents in the whole city, and the proportion of the electricity demand load of the secondary industry in the whole city to the sum of the electricity demand load of the secondary industry and the electricity load of the tertiary industry in the whole city.
[0109] In some embodiments of the present application, in the above-mentioned device, the ratio of the city's secondary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity demand load is determined based on the city's secondary industry electricity demand load at a first preset time and the sum of the city's secondary and tertiary industry electricity demand loads at the first preset time; the ratio of the city's tertiary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity demand load is determined based on the city's tertiary industry electricity demand load at a second preset time and the sum of the city's secondary and tertiary industry electricity demand loads at the second preset time.
[0110] In some embodiments of the present application, in the above-mentioned device, the electricity demand load of the secondary industry in the target county is determined based on the proportion of the electricity demand load of the secondary industry in the target county to the electricity demand load of the secondary industry in the whole city and the electricity demand load of the secondary industry in the whole city on the next day; the proportion of the electricity demand load of the secondary industry in the target county to the electricity demand load of the secondary industry in the whole city is determined based on the electricity demand load of the secondary industry in the target county at a third preset time and the electricity demand load of the secondary industry in the whole city at the third preset time.
[0111] In some embodiments of the present application, in the above-mentioned device, the electricity demand load of the tertiary industry in the target county is determined based on the proportion of the electricity demand load of the tertiary industry in the target county to the electricity demand load of the tertiary industry in the whole city and the electricity demand load of the tertiary industry in the whole city on the next day; the proportion of the electricity demand load of the tertiary industry in the target county to the electricity demand load of the tertiary industry in the whole city is determined based on the electricity demand load of the tertiary industry in the target county at a fourth preset time and the electricity demand load of the tertiary industry in the whole city at the fourth preset time.
[0112] In some embodiments of the present application, in the above-mentioned device, the electricity demand load of residents in the target district or county is determined based on the electricity demand load of residents in the entire city and the proportion of the electricity demand load of residents in the target district or county.
[0113] In some embodiments of the present application, in the above-mentioned device, the city's residential electricity demand load is determined based on the city's residential electricity demand load on the same temperature day within the historical time period and the city's residential electricity demand load on the date that meets the preset requirements within the historical time period; the proportion of electricity demand of residents in the target district and county is determined based on the residential electricity demand load of the target district and county in the meteorologically similar area to which it belongs and the residential electricity demand load of each district and county in the meteorologically similar area to which it belongs.
[0114] In some embodiments of the present application, in the above-mentioned device, the meteorologically similar area is determined based on the historical meteorological data of each district and county in the city; the residential electricity demand load of the target district and county in the meteorologically similar area is determined based on the residential electricity demand load of the target district and county on the same temperature day, the meteorological image coefficient of the meteorologically similar area to which the target district and county belongs, and the average residential electricity demand load of the target district and county within a preset time period of the year.
[0115] Figure 3 FIG. 1 is a schematic diagram showing the structure of an electronic device provided in an embodiment of the present application. Figure 3 As shown, at the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. Among them, the memory may include a memory, such as a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage, etc. Of course, the electronic device may also include hardware required for other services.
[0116] The processor, network interface and memory can be interconnected through an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.
[0117] The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory may include internal memory and non-volatile memory, and provides instructions and data to the processor.
[0118] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a decomposition device of the power consumption index at the logical level. The processor executes the program stored in the memory and is specifically used to execute the above method.
[0119] The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor to be executed, or a combination of hardware and software modules in the decoding processor to be executed. The software module may be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.
[0120] The electronic device can execute the power consumption index decomposition method provided in multiple embodiments of the present application, and realize the power consumption index decomposition device in Figure 2 The functions of the illustrated embodiment will not be described in detail in the embodiments of the present application.
[0121] An embodiment of the present application also proposes a computer-readable storage medium, which stores one or more programs, and the one or more programs include instructions. When the instructions are executed by an electronic device including multiple application programs, the electronic device can execute the power consumption indicator decomposition method provided by multiple embodiments of the present application.
[0122] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.
[0123] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0124] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0125] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0126] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0127] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.
[0128] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.
[0129] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity or device including the element.
[0130] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.
[0131] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.
Claims
1. A method for decomposing electricity consumption indicators, characterized in that: The method comprises: Determine the electricity consumption index curve of the primary industry in the target county based on the electricity demand load of the primary industry in the target county; Based on the electricity consumption gap and electricity demand load of the secondary industry in the target counties and districts, determine the electricity consumption index curve of the secondary industry in the target counties and districts; Based on the electricity consumption gap and electricity demand load of the tertiary industry in the target counties and districts, determine the electricity consumption index curve of the tertiary industry in the target counties and districts; Determine the electricity consumption index curve of residents in the target districts and counties based on the electricity demand load of residents in the target districts and counties; Based on the electricity consumption index curve of the primary industry in the target county, the electricity consumption index curve of the secondary industry in the target county, the electricity consumption index curve of the tertiary industry in the target county, and the electricity consumption index curve of residents in the target county, the electricity consumption index curve of the target county is determined.
2. The method according to claim 1, characterized in that The electricity load of the primary industry in the target county is determined based on the maximum electricity load of the primary industry in the target county during a historical period.
3. The method according to claim 1, characterized in that The electricity consumption gap of the secondary industry in the target districts and counties is determined based on the electricity consumption gap of the secondary industry in the entire city, the guaranteed load of the secondary industry in the entire city, the guaranteed load of the secondary industry in the target districts and counties, and the electricity demand load of the secondary industry in the entire city; The electricity consumption gap of the tertiary industry in the target districts and counties is determined based on the electricity consumption gap of the tertiary industry in the entire city, the guaranteed load of the tertiary industry in the entire city, the guaranteed load of the tertiary industry in the target districts and counties, and the electricity demand load of the tertiary industry in the entire city; The security loads include first-level whitelist loads, second-level whitelist loads, and security loads for orderly electricity consumption enterprises.
4. The method according to claim 3, characterized in that: The electricity consumption gap of the city's secondary industry and the electricity consumption gap of the city's tertiary industry are determined based on the total gap of the city; The city's secondary industry electricity demand load is determined based on the city's total electricity demand load, the city's primary industry electricity demand load, the city's residential electricity demand load, and the proportion of the city's secondary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity demand load; The city's tertiary industry electricity demand load is determined based on the city's total electricity demand load, the city's primary industry electricity demand load, the city's residential electricity demand load, and the proportion of the city's secondary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity demand load.
5. The method according to claim 4, characterized in that The proportion of the city's secondary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity load is determined based on the city's secondary industry electricity demand load at the first preset time and the sum of the city's secondary industry and tertiary industry electricity demand loads at the first preset time; The proportion of the city's tertiary industry electricity demand load to the sum of the city's secondary industry electricity demand load and the tertiary industry electricity load is determined based on the city's tertiary industry electricity demand load at the second preset time and the sum of the city's secondary and tertiary industry electricity demand loads at the second preset time.
6. The method according to claim 1, characterized in that The electricity demand load of the secondary industry of the target district or county is determined based on the proportion of the electricity demand load of the secondary industry of the target district or county in the electricity demand load of the secondary industry of the entire city and the electricity demand load of the secondary industry of the entire city on the next day; The proportion of the electricity demand load of the secondary industry in the target county to the electricity demand load of the secondary industry in the whole city is determined based on the electricity demand load of the secondary industry in the target county at the third preset time and the electricity demand load of the secondary industry in the whole city at the third preset time.
7. The method according to claim 1, characterized in that The electricity demand load of the tertiary industry of the target county is determined based on the proportion of the electricity demand load of the tertiary industry of the target county in the electricity demand load of the tertiary industry of the whole city and the electricity demand load of the tertiary industry of the whole city on the next day; The proportion of the electricity demand load of the tertiary industry in the target county to the electricity demand load of the tertiary industry in the whole city is determined based on the electricity demand load of the tertiary industry in the target county at the fourth preset time and the electricity demand load of the tertiary industry in the whole city at the fourth preset time.
8. The method according to claim 1, characterized in that The electricity demand load of residents in the target district and county is determined based on the electricity demand load of residents in the entire city and the proportion of the electricity demand load of residents in the target district and county.
9. The method according to claim 8, characterized in that The city's residential electricity demand load is determined based on the city's residential electricity demand load on the same temperature day in the historical time period and the city's residential electricity demand load on the date that meets the preset requirements in the historical time period; The proportion of electricity demand of residents in the target county is determined based on the electricity demand load of residents in the target county in the meteorologically similar area to which it belongs and the electricity demand load of residents in each county in the meteorologically similar area to which it belongs.
10. The method according to claim 9, characterized in that The meteorologically similar areas are determined based on the historical meteorological data of various districts and counties in the city; The residential electricity demand load of the target county in the meteorologically similar area to which it belongs is determined based on the residential electricity demand load of the target county on the same temperature day, the meteorological image coefficient of the meteorologically similar area to which the target county belongs, and the average residential electricity demand load of the target county within a preset time period this year.