CN117424231B - Energy-saving power distribution control system and method - Google Patents

Energy-saving power distribution control system and method Download PDF

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CN117424231B
CN117424231B CN202311713700.0A CN202311713700A CN117424231B CN 117424231 B CN117424231 B CN 117424231B CN 202311713700 A CN202311713700 A CN 202311713700A CN 117424231 B CN117424231 B CN 117424231B
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power
power supply
supported
consumption
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CN117424231A (en
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李承洁
贾义军
杨学文
唐伟斌
曲东晓
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Shenzhen Huaxing Digital Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention relates to the technical field of power distribution, in particular to an energy-saving power distribution control system and method.

Description

Energy-saving power distribution control system and method
Technical Field
The invention relates to the technical field of power distribution, in particular to an energy-saving power distribution control system and method.
Background
With the rapid development of power technology, to ensure reasonable distribution of power of a power grid, power of the power grid is often required to be scheduled.
The power dispatching is an effective management means for ensuring safe and stable operation of the power grid, external reliable power supply and orderly execution of various power production works. The specific work content of the power dispatching is that according to data information fed back by various information acquisition devices or information provided by monitoring personnel, the actual operation parameters of the power grid, such as voltage, current, frequency, load and the like, are comprehensively considered, the development condition of various production works is comprehensively considered, the safe and economic operation state of the power grid is judged, and an operation instruction is issued through a telephone or an automatic system to command on-site operators or an automatic control system to adjust, such as adjusting the output of a generator, adjusting the load distribution, switching capacitors, reactors and the like, so that the continuous safe and stable operation of the power grid is ensured; for example, chinese patent document CN110138082B discloses a power distribution control method and a power distribution control system, where the power distribution control method and the power distribution control system calculate average basic power consumption and average improved power consumption, so that when the power distribution cannot meet the average basic power consumption of the area, the average basic power consumption of the area is preferentially met, and normal production of enterprises in the area is ensured.
In the related art, because the distribution amounts of the power grids distributed to all areas are different, in the power use process, the situations that some areas are excessive in distribution amount and some areas are insufficient in distribution amount exist, so that the electric quantity waste in the areas with excessive distribution amount and the electricity consumption requirement in the areas with insufficient distribution amount are easily caused, and the economic benefit is influenced.
Disclosure of Invention
Based on this, it is necessary to provide an energy-saving power distribution control system and method for solving the problem that the current power grid power distribution process cannot distribute electric quantity according to actual requirements.
The above purpose is achieved by the following technical scheme:
an energy-saving power distribution control method is used for distributing power distribution quantity in a set area, wherein the set area comprises N sub-areas, and the N sub-areas are all provided with multiple power utilization types; the energy-saving power distribution control method comprises the following steps:
step S100, obtaining the total electricity consumption of the ith sub-area and the electricity consumption of various electricity consumption types in each preset time interval of the past year, and predicting the predicted total electricity consumption of the ith sub-area and the predicted electricity consumption of various electricity consumption types in each preset time interval of the current year through a prediction model, wherein i=1, 2 to N;
step 200, changing the power consumption of the multiple power consumption types of the ith sub-area and the total power consumption of each of the N sub-areas in the next preset time interval according to the size relation between the predicted power consumption and the actual power consumption of each power consumption type of the ith sub-area in the preset time interval of the current year.
Further, after step S200, the method further includes:
step S210, when the predicted electricity consumption amount and the actual electricity consumption amount of any electricity consumption type of the ith sub-area in the preset time interval of the current year are equal, keeping the electricity consumption amount of the electricity consumption type of the ith sub-area unchanged in the next preset time interval; when the predicted electricity consumption of any electricity consumption type of the ith subarea in the preset time interval of the current year is smaller than the actual electricity consumption, the electricity consumption type receives the power supply of other electricity consumption types in the same area, and if the power consumption requirement is still not met, the electricity consumption type is marked as a power supply part to be supported; when the predicted electricity consumption of any electricity consumption type of the ith subarea in the preset time interval of the current year is larger than the actual electricity consumption, the electricity consumption type supplies power to other electricity consumption types in the same area, and if the electricity consumption type is still rich, the electricity consumption type is marked as a supporting power supply part;
in step S220, when the number of the power supply portions to be supported and the number of the power supply portions to be supported are both greater than zero, the matching mode is turned on to match the power supply portions to be supported and the power supply portions to be supported.
Further, the matching pattern includes:
step S221, when the number of the power supply parts to be supported is greater than or equal to the number of the power supply parts to be supported, the difference between the predicted power consumption and the actual power consumption in the power supply parts to be supported is the largest as a first supported object, and the difference between the actual power consumption and the predicted power consumption in the power supply parts to be supported is the closest as the first supported object;
step S222, when the number of the power supply parts to be supported is smaller than the number of the power supply parts to be supported, the first supported object is the largest difference between the actual power consumption and the predicted power consumption in the power supply parts to be supported, and the first supported object is the closest difference between the predicted power consumption and the actual power consumption in the power supply parts to be supported;
step S223, the first support object supplies power to the first supported object;
step S224, after excluding the matched power supply portion to be supported, repeating step S221 or step S222 to step S223.
Further, matching is performed in the order of priority of the same pressure class being greater than the high pressure class and greater than the low pressure class.
Further, storing the surplus electric quantity of the rest matched supporting power supply part to a designated area; and the rest matched power supply parts to be supported receive power supply from the designated area.
Further, after step S224, the method further includes:
step S230, increasing the power distribution amount of the sub-area where the power supply part to be supported is located in the next preset time interval; and reducing the power distribution amount of the subarea where the support power supply part is located in the next preset time interval.
Further, the predicted total power consumption of the ith sub-area and the predicted power consumption of various power consumption types in the preset time interval of the current year are adjusted based on the change factors.
Further, the varying factors include population changes, store number changes, utility number changes, and plant number changes.
Further, after step S100, the method further includes:
step S110, obtaining independent power supply popularity and independent power supply quantity of the ith sub-area in a preset time interval of the past year, and predicting predicted independent power supply quantity of the ith sub-area in the preset time interval of the current year according to a prediction model;
step S120, when the predicted independent power supply quantity can meet the predicted power consumption quantity of any power consumption type in the ith sub-area, the independent power supply supplies power to the power consumption type; when the predicted independent power supply quantity cannot meet the predicted power consumption quantity of any power consumption type in the ith sub-area, the independent power supply supplies power to the power consumption type with the minimum predicted power consumption quantity;
and step S130, the predicted total power consumption of the ith sub-area and the predicted power consumption of various power consumption types in the preset time interval of the current year are adjusted according to the independent power supply mode.
The invention also provides an energy-saving power distribution control system, and an energy-saving power distribution control method is adopted.
The beneficial effects of the invention are as follows:
according to the energy-saving power distribution control system and method provided by the invention, the predicted total power consumption of the subarea in the current year and the predicted power consumption of various power consumption types are predicted, so that when the predicted power consumption of any power consumption type of the subarea in the current year is unequal to the actual power consumption, the power distribution of various power consumption types in the subarea are linked, and when the power distribution of various power consumption types in the same subarea are linked but the power consumption requirements are still not met, the power distribution of N subareas are linked, so that the power distribution can be carried out according to the actual requirements of the subareas, the power consumption requirements of different subareas are met, and the energy utilization efficiency is improved.
Drawings
Fig. 1 is a schematic flow chart of an energy-saving power distribution control method according to an embodiment of the invention.
Detailed Description
The present invention will be further described in detail below with reference to examples, which are provided to illustrate the objects, technical solutions and advantages of the present invention. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The numbering of components herein, such as "first," "second," etc., is used merely to distinguish between the described objects and does not have any sequential or technical meaning. The terms "coupled" and "connected," as used herein, are intended to encompass both direct and indirect coupling (coupling), unless otherwise indicated. In the description of the present invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element in question must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the present invention, unless expressly stated or limited otherwise, a first feature "up" or "down" a second feature may be the first and second features in direct contact, or the first and second features in indirect contact via an intervening medium. Moreover, a first feature being "above," "over" and "on" a second feature may be a first feature being directly above or obliquely above the second feature, or simply indicating that the first feature is level higher than the second feature. The first feature being "under", "below" and "beneath" the second feature may be the first feature being directly under or obliquely below the second feature, or simply indicating that the first feature is less level than the second feature.
As shown in fig. 1, fig. 1 is a schematic flow chart of an energy-saving power distribution control method according to an embodiment of the present invention, where the energy-saving power distribution control method is used for distributing power distribution in a set area, the set area includes N sub-areas, and the N sub-areas have multiple power utilization types; the energy-saving power distribution control method comprises the following steps:
step S100, obtaining the total electricity consumption of the ith sub-area and the electricity consumption of various electricity consumption types in each preset time interval of the past year, and predicting the predicted total electricity consumption of the ith sub-area and the predicted electricity consumption of various electricity consumption types in each preset time interval of the current year through a prediction model, wherein i=1, 2 to N;
taking an example that the set area comprises a province, the province comprises N cities, the subareas in the set area are cities in the province, and each city has four electricity utilization types of industrial electricity utilization, commercial electricity utilization, residential electricity utilization and public facility electricity utilization.
Assuming that N is equal to three, for convenience of description, the three cities are named as a city, B city and C city, respectively; taking city A as an example, the total electricity consumption of city A in each month of the past year and the four electricity consumption types of industrial electricity, commercial electricity, residential electricity and public facility electricity in the same time are obtained through an electricity measurement device, and the predicted total electricity consumption of city A in each month of the current year and the predicted electricity consumption of the four electricity consumption types of industrial electricity, commercial electricity, residential electricity and public facility electricity in the same time are predicted through a prediction module.
It is understood that the preset time interval may be set in units of one month, or may be set in units of one week, or may be set in units of a plurality of months or a plurality of weeks; the longer the preset time interval is, the smaller the fluctuation of the electric quantity data is, so that the adjustment of the electric quantity distribution is not needed frequently, the shorter the preset time interval is, the more accurate the data is, and therefore the fine adjustment can be realized, and the energy utilization efficiency is improved.
Step 200, changing the power consumption of the multiple power consumption types of the ith sub-area and the total power consumption of each of the N sub-areas in the next preset time interval according to the size relation between the predicted power consumption and the actual power consumption of each power consumption type of the ith sub-area in the preset time interval of the current year.
Specifically, according to the magnitude relation between the predicted electricity consumption and the actual electricity consumption of each electricity consumption type of the A city in each month of the current year, when the predicted electricity consumption and the actual electricity consumption of each electricity consumption type of the A city of the current year are unequal, linkage is generated between the power distribution amounts of multiple electricity consumption types of the A city, and when linkage is generated between the power distribution amounts of various electricity consumption types of the A city but the power consumption requirements are still not met, linkage is generated between the power distribution amounts of the A city, the B city and the C city, so that the electricity consumption can be distributed according to the actual requirements of the city, the power consumption requirements of different cities are met, and the energy utilization efficiency is improved.
It can be understood that the energy-saving power distribution control method provided by the invention is not only suitable for power distribution among cities, but also suitable for power distribution among different areas/counties in the same city or among different areas/counties in the same factory, and also suitable for power distribution among different factories in the same factory; for example, when power is distributed among different factories in the same factory, the electricity consumption types of the factories comprise factory electricity consumption, dormitory electricity consumption, equipment electricity consumption and the like, and then the electricity consumption can be distributed according to the electricity consumption conditions of different electricity consumption types in different time phases.
In some embodiments, after step S200, further comprising:
step S210, when the predicted electricity consumption amount and the actual electricity consumption amount of any electricity consumption type of the ith sub-area in the preset time interval of the current year are equal, keeping the electricity consumption amount of the electricity consumption type of the ith sub-area unchanged in the next preset time interval; when the predicted electricity consumption of any electricity consumption type of the ith subarea in the preset time interval of the current year is smaller than the actual electricity consumption, the electricity consumption type receives the power supply of other electricity consumption types in the same area, and if the power consumption requirement is still not met, the electricity consumption type is marked as a power supply part to be supported; when the predicted electricity consumption of any electricity consumption type of the ith subarea in the preset time interval of the current year is larger than the actual electricity consumption, the electricity consumption type supplies power to other electricity consumption types in the same area, and if the electricity consumption type is still rich, the electricity consumption type is marked as a supporting power supply part;
taking industrial electricity of the city a as an example, when the predicted electricity consumption and the actual electricity consumption of the industrial electricity of the city a in the month of the current year are equal, the electricity consumption of the industrial electricity of the city a in the month of the current year can just meet the electricity consumption requirement, the predicted electricity consumption of the industrial electricity of the city a in the month of the current year is accurate, and the accuracy of the predicted electricity consumption of the industrial electricity of the city a in the current year is high, so that the electricity consumption of the industrial electricity of the city a is not required to be adjusted, and the electricity consumption of the industrial electricity of the city a in the month of the february of the current year is set to be unchanged.
When the predicted power consumption of the current year's february a city is smaller than the actual power consumption, it is indicated that the power consumption of the current year's february a city cannot meet the power consumption requirement, that the current year's february a city power consumption is low, and that the current year's february a city power consumption is low, so that the current year's february a city power consumption needs to be regulated, that the current year's february a city power consumption receives power of other power consumption types of a city, and if the current year's february a city power consumption still does not meet the power consumption requirement, the current year's february a city power consumption is marked as a power supply waiting support part, and the current year's february B city and/or C city power supply support is waited.
When the predicted electricity consumption of the current year's month a city is larger than the actual electricity consumption, it is indicated that the electricity consumption of the current year's month a city is not only enough to meet the electricity consumption demand but also a surplus, that the predicted electricity consumption of the current year's month a city is higher as a whole, that the electricity consumption demands of other types of electricity consumption of the current year's city a city or the electricity consumption demands of the city B and city C are met, and therefore the electricity consumption of the city a industry needs to be adjusted, that the surplus electricity consumption of the current year's month a city is set to supply electricity to other electricity consumption types of the city a, and that the current year's month a city is marked as a support power supply part waiting for providing power supply support to the city B and/or city C if there is surplus.
It is to be understood that commercial power consumption, residential power consumption and public facility power consumption of the city A are all determined according to the same principle as the industrial power consumption of the city A; the industrial electricity, commercial electricity, resident electricity and public facility electricity of the city B and the city C are judged according to the principle same as that of the city A, so that all the parts to be supported and the supporting power supply part are determined, and the next operation is convenient.
In step S220, when the number of the power supply portions to be supported and the number of the power supply portions to be supported are both greater than zero, the matching mode is turned on to match the power supply portions to be supported and the power supply portions to be supported.
Specifically, when the number of the to-be-supported power supply parts and the number of the support power supply parts are both greater than zero, at least one pair of the to-be-supported power supply parts and the support power supply parts can be matched through the matching mode, and the support power supply parts can supply power to the to-be-supported power supply parts so as to meet the power consumption requirements of part or all of the to-be-supported power supply parts and avoid waste of redundant electric quantity of the support power supply parts.
In a further embodiment, the matching pattern comprises:
step S221, when the number of the power supply parts to be supported is greater than or equal to the number of the power supply parts to be supported, the difference between the predicted power consumption and the actual power consumption in the power supply parts to be supported is the largest as a first supported object, and the difference between the actual power consumption and the predicted power consumption in the power supply parts to be supported is the closest as the first supported object;
specifically, when the number of power supply portions to be supported is greater than or equal to the number of power supply portions to be supported, the description power supply is less than or equal to the determination, the number of power supply portions to be supported is assumed to be 3, the difference between the predicted power consumption and the actual power consumption in the power supply portions to be supported is assumed to be 4, 6, 8, the number of power supply portions to be supported is assumed to be 5, and the difference between the actual power consumption and the predicted power consumption in the power supply portions to be supported is assumed to be 2, 5, 8, 10, 11; if the power supply to be supported is taken as a reference, 11 in the power supply to be supported is matched with 8 in the power supply to be supported, at this time, the difference between the actual power consumption and the predicted power consumption in the power supply to be supported is 2, 3, 5, 8 and 10, then 10 in the power supply to be supported is matched with 6 in the power supply to be supported, at this time, the difference between the actual power consumption and the predicted power consumption in the power supply to be supported is 2, 3, 4 and 5, at this time, the number of the power supply to be supported is still 5, the total power consumption required by the power supply to be supported is 2+3+4+4+5=18, and the original 5 power supply to be supported is not sufficiently supplied.
If the power supply support part is used as a reference, 8 in the power supply support part is matched with 8 in the power supply support part, at the moment, the difference value of the actual power consumption and the predicted power consumption in the power supply support part is 2, 5, 10 and 11, 6 in the power supply support part is matched with 5 in the power supply support part, at the moment, the difference value of the predicted power consumption and the actual power consumption in the power supply support part is 1 and 4, the difference value of the actual power consumption and the predicted power consumption in the power supply support part is 2, 10 and 11, 4 in the power supply support part is matched with 2 in the power supply support part, at the moment, the difference value of the predicted power consumption and the actual power consumption in the power supply support part is 1 and 2, the difference between the actual power consumption and the predicted power consumption in the power supply part to be supported is 10 and 11, 2 in the power supply part to be supported is matched with 11 in the power supply part to be supported, the difference between the predicted power consumption and the actual power consumption in the power supply part to be supported is 1, the difference between the actual power consumption and the predicted power consumption in the power supply part to be supported is 9 and 10, 1 in the power supply part to be supported is matched with 9 in the power supply part to be supported, the difference between the actual power consumption and the predicted power consumption in the power supply part to be supported is 8 and 10, the number of the power supply parts to be supported is 2, the total power consumption required by the power supply part to be supported is 8+10=18, and 3 power supply parts to be supported in the original 5 power supply parts to be supported obtain sufficient power supply; in summary, by setting the support power supply unit as the first support target having the largest difference between the predicted power consumption and the actual power consumption in the support power supply unit, and setting the first support target having the closest difference between the actual power consumption and the predicted power consumption in the support power supply unit and the first support target, the number of the support power supply units can be reduced, the matching efficiency can be improved, and the number of power distribution to the support power supply units can be reduced.
Step S222, when the number of the power supply parts to be supported is smaller than the number of the power supply parts to be supported, the first supported object is the largest difference between the actual power consumption and the predicted power consumption in the power supply parts to be supported, and the first supported object is the closest difference between the predicted power consumption and the actual power consumption in the power supply parts to be supported;
specifically, when the number of power supply portions to be supported is smaller than the number of power supply portions to be supported, the description provides more power, the number of power supply portions to be supported is assumed to be 3, the difference between the actual power consumption and the predicted power consumption in the power supply portions to be supported is assumed to be 4, 6, 8, the number of power supply portions to be supported is assumed to be 5, and the difference between the predicted power consumption and the actual power consumption in the power supply portions to be supported is assumed to be 2, 5, 8, 10, 11; if the power supply to be supported is taken as a reference, 8 of the power supply to be supported is matched with 8 of the power supply to be supported, at the moment, the difference between the predicted power consumption and the actual power consumption in the power supply to be supported is 4 and 6, the difference between the predicted power consumption and the actual power consumption in the power supply to be supported is 2, 5, 10 and 11, then 6 of the power supply to be supported is matched with 10 of the power supply to be supported, at the moment, the difference between the predicted power consumption and the actual power consumption in the power supply to be supported is 4, the difference between the predicted power consumption and the actual power consumption in the power supply to be supported is 2, 4, 5 and 11, then 4 of the power supply to be supported is matched with 4 of the power supply to be supported, at the moment, the difference between the predicted power consumption and the actual power consumption in the power supply to be supported is 2, 5 and 11, at the moment, the number of the power supply to be supported is 3, the total power consumption that the power supply to be supplied by the power supply to be supported is 2+5+11=18, and 2 power supply parts of the original 5 power supply to be completely consumed.
If the power supply support portion is taken as a reference, 11 in the power supply support portion is matched with 8 in the power supply support portion, at the moment, the difference between the predicted power consumption and the actual power consumption in the power supply support portion is 2, 3, 5, 8 and 10, the difference between the actual power consumption and the predicted power consumption in the power supply support portion is 4 and 6, then 10 in the power supply support portion is matched with 6 in the power supply support portion, at the moment, the difference between the predicted power consumption and the actual power consumption in the power supply support portion is 2, 3, 4, 5 and 8, at the moment, the difference between the actual power consumption and the predicted power consumption in the power supply support portion is 4, 3, 4 and 5, at the moment, the number of the power supply support portions is 5, the total power consumption which can be provided by the power supply support portion is 2+3+4+4+5=18, and the original 5 power supply support portions are not used up; in summary, by taking the power supply to be supported as the first supported object with the largest difference between the actual power consumption and the predicted power consumption in the power supply to be supported, and taking the first supported object with the closest difference between the predicted power consumption and the actual power consumption in the power supply to be supported and the first supported object, the number of power supply to be supported is reduced, the matching efficiency is improved, and the number of power distribution times of the power supply to be supported is reduced.
Step S223, the first support object supplies power to the first supported object;
specifically, the first supporting object supplies power to the first supported object, so that linkage is generated among the power distribution amounts of the N sub-areas, electric quantity distribution can be performed according to actual demands of the sub-areas, power consumption demands of different sub-areas are met, and energy utilization efficiency is improved.
Step S224, after excluding the matched power supply portion to be supported, repeating step S221 or step S222 to step S223.
After the matched power supply part to be supported is removed, the remaining power supply part to be supported enters the matching queue again to be matched again, and the step S221 or the steps S222 to S223 are repeatedly executed to complete the matching of the power supply part to be supported and the power supply part to be supported.
In a further embodiment, the matching is set to be performed in order of priority of the same class of pressure greater than the high class of pressure greater than the low class of pressure.
Specifically, since the power supply to be supported and the power supply to be supported may be from industrial power, commercial power, residential power and public facility power, and the industrial power, commercial power, residential power and public facility power are different in voltage, wherein the industrial power is generally greater than the commercial power, the commercial power is greater than the residential power, the residential power is greater than the public facility power, and the power is required to be boosted at low voltage to high voltage, and additional equipment and steps are required to be added, which is troublesome and consumes much energy, and the power is required to be reduced at high voltage to low voltage, which is troublesome but consumes little energy, in order to improve the energy utilization efficiency, the priority of the power supply to be supported for receiving the power supply to be supported is set to be the same voltage class and greater than the high voltage class and greater than the low voltage class.
In other embodiments, the method includes storing the surplus power of the remaining support power supply unit to a specified area; and the rest matched power supply parts to be supported receive power supply from the designated area.
Specifically, when the number of the power supply portions to be supported and the number of the power supply portions to be supported are unequal, there are always remaining power supply portions to be supported and remaining power supply portions to be supported, and in order to improve the energy utilization efficiency, the remaining power supply portions to be supported are set to store surplus power of the remaining power supply portions to be supported in the specified area, and the remaining power supply portions to be supported are set to receive power supplied from the specified area, so that power can be distributed according to the actual requirements of the sub-areas, and power consumption requirements of different sub-areas can be met.
In other embodiments, after step S224, further comprising:
step S230, increasing the power distribution amount of the sub-area where the power supply part to be supported is located in the next preset time interval; and reducing the power distribution amount of the subarea where the support power supply part is located in the next preset time interval.
Specifically, when the power supply part to be supported appears in the sub-area, the situation that the power distribution quantity is insufficient due to the transition among the power distribution quantities of various power utilization types in the sub-area is indicated, the power distribution quantity allocated to the sub-area is less, and in order to reduce or avoid the situation that the power distribution quantity is insufficient again in the next preset time interval, the power distribution quantity of the sub-area where the power supply part to be supported is positioned in the next preset time interval is set to be increased; when the auxiliary power supply part appears in the sub-area, the situation that the surplus distribution quantity still exists through the transition between the distribution quantities of various power utilization types in the sub-area is indicated, the distribution quantity distributed by the sub-area is more, and the situation that the surplus distribution quantity appears again in the next preset time interval is reduced or avoided, so that the distribution quantity of the sub-area where the auxiliary power supply part is positioned in the next preset time interval is set to be reduced.
In some embodiments, only according to the total electricity consumption of the city a in each month of the past year and the four electricity consumption types of the industry electricity consumption, the business electricity consumption, the resident electricity consumption and the public facility electricity consumption in the same time, the predicted total electricity consumption of the city a in each month of the past year and the predicted electricity consumption of the four electricity consumption types of the industry electricity consumption, the business electricity consumption, the resident electricity consumption and the public facility electricity consumption in the same time are limited, because the population, the market number, the public facility number and the factory number of the city a are not invariable, and the population, the market number, the public facility number and the factory number of the city a can influence the four electricity consumption types of the city a, the business electricity consumption, the public facility electricity consumption and the industry electricity consumption in each month of the present year, the accuracy of the predicted total electricity consumption of the city a in each month of the present year and the four electricity consumption types of the industry electricity consumption, the business electricity consumption, the resident electricity consumption, the public facility electricity consumption and the public facility electricity consumption in the same time are improved, and the accuracy of the predicted electricity consumption of the four electricity consumption types of the city a in each month of the present year is improved, and the current electricity consumption of the public facility electricity consumption, the public facility electricity consumption and the public facility electricity consumption in each year need to be adjusted based on the population, market number and industry electricity consumption in each city and industry electricity consumption.
Taking population factors as an example, taking a year as a time unit, calculating a growth coefficient according to population quantity and population growth rate of the urban A of the past year, and calculating more accurate predicted electricity consumption on the basis of the predicted electricity consumption of residents in the urban A of the current year; assuming that the population number of the city a of the previous year is 100 ten thousand and the population growth rate is 10%, the population number of the city a of the current year is (100 x (1+10%)) =110 ten thousand, and the growth coefficient of the electricity consumption of the residents of the city a of the current year is (110/100) =1.1, the predicted electricity consumption of the residents in each month of the city a of the current year should be multiplied by 1.1; the number of shops, the number of public facilities and the number of factories are all calculated according to the same principle as the electricity consumption of residents in city A.
In some embodiments, after step S100, further comprising:
step S110, obtaining independent power supply popularity and independent power supply quantity of the ith sub-area in a preset time interval of the past year, and predicting predicted independent power supply quantity of the ith sub-area in the preset time interval of the current year according to a prediction model;
specifically, in order to improve the utilization rate of clean energy and reduce the consumption of non-renewable energy, in some areas, independent power supply equipment is often arranged, and the independent power supply equipment generates power by utilizing clean energy such as solar energy, wind energy, water energy, biomass energy, geothermal energy, tidal energy and the like, and the electric energy generated by the clean energy can be used for urban resident power, industrial power, commercial power, public facility power and the like; therefore, in order to improve the accuracy of the predicted total power consumption of the cities in each month of the current year and the predicted power consumption of the four power consumption types of industrial power consumption, commercial power consumption, residential power consumption and public facility power consumption in the same time, and improve the accuracy of power distribution, the predicted total power consumption of the cities in each month of the current year and the predicted power consumption of various power consumption types need to be adjusted based on the power generated by clean energy.
Specifically, the popularity of independent power supply is the number of independent power supply equipment in a subarea, and the higher the popularity of independent power supply, the larger the number of independent power supply equipment in the subarea, the larger the independent power supply quantity.
More specifically, taking city A as an example, the prediction independent power supply quantity of city A in each month of the current year can be predicted according to a prediction model by acquiring the independent power supply popularity and the independent power supply quantity of city A in each month of the current year.
Step S120, when the predicted independent power supply quantity can meet the predicted power consumption quantity of any power consumption type in the ith sub-area, the independent power supply supplies power to the power consumption type; when the predicted independent power supply quantity cannot meet the predicted power consumption quantity of any power consumption type in the ith sub-area, the independent power supply supplies power to the power consumption type with the minimum predicted power consumption quantity;
specifically, when the predicted independent power supply quantity can meet the predicted power consumption quantity of any power type in the city A, the independent power supply is used for supplying power to the power type, and if a plurality of power supplies meet the predicted power consumption quantity, the power supply is supplied with the closest priority; when the predicted independent power supply quantity cannot meet the predicted power consumption quantity of any power consumption type in the city A, the independent power supply supplies power to the power consumption type with the minimum predicted power consumption quantity.
And step S130, the predicted total power consumption of the ith sub-area and the predicted power consumption of various power consumption types in the preset time interval of the current year are adjusted according to the independent power supply mode.
Specifically, the predicted total power consumption of the city a and the predicted power consumption of the various power consumption types within each month of the current year are subtracted by the predicted independent power supply amount of the independent power supply.
In some embodiments, the prediction model is configured to include an ARIMA model, which refers generally to an autoregressive moving average model, belonging to one of the time series analyses, where the aria (p, q) model includes p autoregressive terms and q moving average terms, and the aria (p, q) model may be expressed as:
where p and q are the autoregressive and moving average orders of the model;and->Is a undetermined coefficient that is not zero; />Is an independent error term; />Is a steady, normal, zero-mean time series.
The invention also provides an energy-saving power distribution control system which adopts an energy-saving power distribution control method; the energy-saving power distribution control system comprises a power distribution center, wherein the power distribution center is used for distributing the power distribution quantity of N sub-areas in a set area and the power distribution quantity of various power utilization types in each sub-area according to an energy-saving power distribution control method, so that the power distribution can be performed according to the actual requirements of the sub-areas, the power utilization requirements of different sub-areas are met, and the energy utilization efficiency is improved.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.

Claims (8)

1. The energy-saving power distribution control method is characterized by being used for distributing power distribution in a set area, wherein the set area comprises N sub-areas, and the N sub-areas are all provided with multiple power utilization types; the energy-saving power distribution control method comprises the following steps:
step S100, obtaining the total electricity consumption of the ith sub-area and the electricity consumption of various electricity consumption types in each preset time interval of the past year, and predicting the predicted total electricity consumption of the ith sub-area and the predicted electricity consumption of various electricity consumption types in each preset time interval of the current year through a prediction model, wherein i=1, 2 to N;
step S200, according to the size relation between the predicted power consumption and the actual power consumption of each power consumption type of the ith sub-area in the preset time interval of the current year, changing the power consumption of multiple power consumption types of the ith sub-area and the total power consumption of each of the N sub-areas in the next preset time interval;
step S210, when the predicted electricity consumption amount and the actual electricity consumption amount of any electricity consumption type of the ith sub-area in the preset time interval of the current year are equal, keeping the electricity consumption amount of the electricity consumption type of the ith sub-area unchanged in the next preset time interval; when the predicted electricity consumption of any electricity consumption type of the ith subarea in the preset time interval of the current year is smaller than the actual electricity consumption, the electricity consumption type receives the power supply of other electricity consumption types in the same area, and if the power consumption requirement is still not met, the electricity consumption type is marked as a power supply part to be supported; when the predicted electricity consumption of any electricity consumption type of the ith subarea in the preset time interval of the current year is larger than the actual electricity consumption, the electricity consumption type supplies power to other electricity consumption types in the same area, and if the electricity consumption type is still rich, the electricity consumption type is marked as a supporting power supply part;
step S220, when the number of the power supply parts to be supported and the number of the power supply parts to be supported are both larger than zero, a matching mode is started to match the power supply parts to be supported and the power supply parts to be supported;
step S221, when the number of the power supply parts to be supported is greater than or equal to the number of the power supply parts to be supported, the difference between the predicted power consumption and the actual power consumption in the power supply parts to be supported is the largest as a first supported object, and the difference between the actual power consumption and the predicted power consumption in the power supply parts to be supported is the closest as the first supported object;
step S222, when the number of the power supply parts to be supported is smaller than the number of the power supply parts to be supported, the first supported object is the largest difference between the actual power consumption and the predicted power consumption in the power supply parts to be supported, and the first supported object is the closest difference between the predicted power consumption and the actual power consumption in the power supply parts to be supported;
step S223, the first support object supplies power to the first supported object;
step S224, after excluding the matched power supply portion to be supported, repeating step S221 or step S222 to step S223.
2. The energy-saving power distribution control method according to claim 1, wherein the matching is performed in order of priority of the same voltage class being greater than the high voltage class being greater than the low voltage class.
3. The energy-saving distribution control method according to claim 1, wherein surplus power of the remaining support power supply part is stored to a specified area; and the rest matched power supply parts to be supported receive power supply from the designated area.
4. The energy-saving power distribution control method according to claim 1, characterized by further comprising, after step S224:
step S230, increasing the power distribution amount of the sub-area where the power supply part to be supported is located in the next preset time interval; and reducing the power distribution amount of the subarea where the support power supply part is located in the next preset time interval.
5. The energy-saving power distribution control method according to claim 1, wherein the predicted total power consumption of the ith sub-area and the predicted power consumption of each power consumption type in the preset time interval of the current year are adjusted based on a variation factor.
6. The energy efficient power distribution control method as recited in claim 5, wherein the varying factors include population changes, market number changes, utility number changes, and plant number changes.
7. The energy-saving power distribution control method according to claim 1, characterized by further comprising, after step S100:
step S110, obtaining independent power supply popularity and independent power supply quantity of the ith sub-area in a preset time interval of the past year, and predicting predicted independent power supply quantity of the ith sub-area in the preset time interval of the current year according to a prediction model;
step S120, when the predicted independent power supply quantity can meet the predicted power consumption quantity of any power consumption type in the ith sub-area, the independent power supply supplies power to the power consumption type; when the predicted independent power supply quantity cannot meet the predicted power consumption quantity of any power consumption type in the ith sub-area, the independent power supply supplies power to the power consumption type with the minimum predicted power consumption quantity;
and step S130, the predicted total power consumption of the ith sub-area and the predicted power consumption of various power consumption types in the preset time interval of the current year are adjusted according to the independent power supply mode.
8. An energy-saving power distribution control system, characterized in that the energy-saving power distribution control method according to any one of claims 1 to 7 is adopted.
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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103532172A (en) * 2013-10-23 2014-01-22 华北电力大学 Multistage reserve coordination method based on set dynamic classification
JP2015097059A (en) * 2013-11-15 2015-05-21 株式会社日立パワーソリューションズ Power demand prediction system and power demand prediction method
CN106651200A (en) * 2016-12-29 2017-05-10 中国西电电气股份有限公司 Electrical load management method and system for industrial enterprise aggregate user
CN110135612A (en) * 2018-07-05 2019-08-16 国网江苏省电力有限公司物资分公司 The monitoring of material supply quotient's production capacity and abnormity early warning method based on analysis of electric power consumption
CN110263995A (en) * 2019-06-18 2019-09-20 广西电网有限责任公司电力科学研究院 Consider the distribution transforming heavy-overload prediction technique of load growth rate and user power utilization characteristic
CN113991667A (en) * 2021-11-22 2022-01-28 国网江苏省电力有限公司营销服务中心 Building load fine perception regulation and control method and system
CN116646933A (en) * 2023-07-24 2023-08-25 北京中能亿信软件有限公司 Big data-based power load scheduling method and system
CN116826696A (en) * 2023-06-30 2023-09-29 国家电投集团科学技术研究院有限公司 Method and device for reducing industrial energy consumption by fusing new energy into direct-current micro-grid
CN116914751A (en) * 2023-09-12 2023-10-20 济南舜信达电力科技有限公司 Intelligent power distribution control system
CN116956198A (en) * 2023-09-18 2023-10-27 湖南迈格瑞特物联科技有限公司 Intelligent electricity consumption data analysis method and system based on Internet of things
CN117036104A (en) * 2023-10-08 2023-11-10 北京前景无忧电子科技股份有限公司 Intelligent electricity utilization method and system based on electric power Internet of things

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103532172A (en) * 2013-10-23 2014-01-22 华北电力大学 Multistage reserve coordination method based on set dynamic classification
JP2015097059A (en) * 2013-11-15 2015-05-21 株式会社日立パワーソリューションズ Power demand prediction system and power demand prediction method
CN106651200A (en) * 2016-12-29 2017-05-10 中国西电电气股份有限公司 Electrical load management method and system for industrial enterprise aggregate user
CN110135612A (en) * 2018-07-05 2019-08-16 国网江苏省电力有限公司物资分公司 The monitoring of material supply quotient's production capacity and abnormity early warning method based on analysis of electric power consumption
CN110263995A (en) * 2019-06-18 2019-09-20 广西电网有限责任公司电力科学研究院 Consider the distribution transforming heavy-overload prediction technique of load growth rate and user power utilization characteristic
CN113991667A (en) * 2021-11-22 2022-01-28 国网江苏省电力有限公司营销服务中心 Building load fine perception regulation and control method and system
CN116826696A (en) * 2023-06-30 2023-09-29 国家电投集团科学技术研究院有限公司 Method and device for reducing industrial energy consumption by fusing new energy into direct-current micro-grid
CN116646933A (en) * 2023-07-24 2023-08-25 北京中能亿信软件有限公司 Big data-based power load scheduling method and system
CN116914751A (en) * 2023-09-12 2023-10-20 济南舜信达电力科技有限公司 Intelligent power distribution control system
CN116956198A (en) * 2023-09-18 2023-10-27 湖南迈格瑞特物联科技有限公司 Intelligent electricity consumption data analysis method and system based on Internet of things
CN117036104A (en) * 2023-10-08 2023-11-10 北京前景无忧电子科技股份有限公司 Intelligent electricity utilization method and system based on electric power Internet of things

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