CN115356972A - Chip control method and chip for peak load of power distribution feeder - Google Patents

Chip control method and chip for peak load of power distribution feeder Download PDF

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Publication number
CN115356972A
CN115356972A CN202211302190.3A CN202211302190A CN115356972A CN 115356972 A CN115356972 A CN 115356972A CN 202211302190 A CN202211302190 A CN 202211302190A CN 115356972 A CN115356972 A CN 115356972A
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load
historical
electric equipment
peak
distribution feeder
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CN115356972B (en
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王嘉诚
张少仲
张栩
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Zhongcheng Hualong Computer Technology Co Ltd
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Zhongcheng Hualong Computer Technology Co Ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423—Input/output
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144—Demand-response operation of the power transmission or distribution network
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/25—Pc structure of the system
    • G05B2219/25257—Microcontroller
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/58—The condition being electrical
    • H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS 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
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a chip control method and a chip for peak load of a power distribution feeder, and relates to the technical field of power control. The method comprises the following steps: establishing a historical daily load use graph of electric equipment connected on a power distribution feeder line, and determining the power demand grades of the electric equipment on different historical dates; acquiring load contribution of the power distribution feeder to currently connected power utilization equipment in historical peak power utilization periods, further constructing a contribution use graph, and constructing a load sequence of the power utilization equipment by combining the historical daily load use graph; determining a load change rule of the corresponding electric equipment based on the load sequence, and determining the connection necessity of the corresponding electric equipment in the peak power utilization period by combining with the power utilization demand grade corresponding to the future peak power utilization period; when the connection necessity is smaller than the preset necessity, the control chip is used for disconnecting the electric equipment which is not necessary to be connected, and the load of the power grid in the peak power utilization period is relieved.

Description

Chip control method and chip for peak load of power distribution feeder
Technical Field
The invention relates to the technical field of power control, in particular to a chip control method and a chip for peak load of a power distribution feeder.
Background
At present, electric power is more and more nervous, peak shaving is often needed to be carried out in the peak period of power utilization, the problem of insufficient load in the peak period of power utilization is solved from the perspective of power supply enterprises in peak period of power utilization, the problem of insufficient load in the peak period of power utilization is rarely solved by adjusting from the perspective of user demands, and the load occupied by some equipment which does not need to be used in the peak period of power utilization is not effectively controlled.
Therefore, the invention provides a chip control method and a chip for distribution feeder line peak load.
Disclosure of Invention
The invention provides a chip control method for peak load of a power distribution feeder, which is used for determining the connection necessity of electric equipment in the future peak power utilization period, and the unnecessary electric equipment is controlled by a control chip in the future peak power utilization period, so that the load of a power grid in the peak power utilization period is relieved.
The invention provides a chip control method for peak load of a power distribution feeder, which comprises the following steps:
step 1: acquiring historical power utilization conditions of all power utilization equipment connected to a power distribution feeder line in a historical time period, establishing a historical daily load use graph of the power utilization equipment, and determining power utilization requirement levels of the power utilization equipment on different historical dates;
and 2, step: acquiring historical power supply conditions of the power distribution feeder, acquiring load contribution of the power distribution feeder to currently connected electric equipment in historical peak power utilization periods, further constructing a contribution use graph, and constructing a load sequence of the electric equipment by combining the historical daily load use graph of the connected electric equipment;
and step 3: determining a load change rule of the corresponding electric equipment based on the load sequence, wherein the load change rule is combined with an electric demand grade corresponding to a future peak power utilization period to determine the connection necessity of the corresponding electric equipment in the future peak power utilization period;
and 4, step 4: and when the connection necessity is smaller than the preset necessity, performing disconnection control on the electric equipment which is not necessarily connected based on the control chip.
Preferably, the obtaining of the historical power consumption situation of each power consumption device connected to the power distribution feeder line within a preset time period, establishing a historical daily load usage graph for the power consumption devices, and determining the power consumption demand levels of the power consumption devices on different historical dates includes:
dividing the historical electricity utilization condition of each electric equipment according to the time period;
establishing a historical daily load use graph corresponding to the electric equipment according to the division result of the historical electricity utilization condition of the electric equipment;
analyzing the historical daily load usage graph of the electric equipment, and determining the power demand grades of the corresponding electric equipment on different historical dates;
wherein the time period comprises a number of historical dates.
Preferably, analyzing the historical daily load usage graph of the electric device to determine the power demand levels of the corresponding electric device on different historical dates includes:
dividing a historical daily load use graph of the electric equipment every day, and performing multi-index calculation on the daily historical daily load use graph;
and comparing the multi-index calculation result with a preset standard value, so as to determine the electricity demand grade of the electricity utilization equipment on the corresponding day.
Preferably, the obtaining of the historical power supply condition of the power distribution feeder and the load contribution of the power distribution feeder to the currently connected electrical equipment in the historical peak power utilization period further constructs a contribution usage graph, and the constructing of the load sequence to the electrical equipment in combination with the historical daily load usage graph of the connected electrical equipment includes:
acquiring the historical power supply condition of the power distribution feeder line in the same historical time period, and dividing the historical power supply condition of the power distribution feeder line according to a time period;
establishing a historical daily load curve of the distribution feeder according to the division result of the historical power supply condition of the distribution feeder;
calculating an average load line of a corresponding day based on a daily historical daily load curve, and calibrating a time period corresponding to a curve above the average load line in the corresponding historical daily load curve as a historical peak power utilization period;
acquiring a first historical usage graph of connected electric equipment in a historical peak electricity utilization period, determining load contribution of a distribution feeder to each electric equipment at each time point in the historical peak electricity utilization period based on a first load curve of the distribution feeder in the historical peak electricity utilization period, and further constructing a contribution usage graph of the electric equipment;
adjusting the load of the historical daily load use graph at the historical peak power utilization period on the same date based on the contribution use graph of the power utilization equipment;
and constructing a load sequence to the electric application equipment based on the adjusted historical daily load use graph.
Preferably, determining the load contribution of the power distribution feeder to each electric device at each time point in the historical peak power utilization period, and further constructing a contribution use graph of the corresponding electric device, includes:
obtaining the required load of the electric equipment at each time point in the historical peak power utilization period based on the historical daily load usage graph of the electric equipment in the historical peak power utilization period;
determining a total contributing load of the distribution feeder at a same point in time during a historical peak electricity usage period based on a load curve of the distribution feeder during the historical peak electricity usage period;
taking the ratio of the required load of the electric equipment to the total contribution load of the distribution feeder as the load contribution of the distribution feeder to the electric equipment;
and carrying out time sequencing on the load contributions of the same electric equipment to obtain a contribution use graph.
Preferably, determining a load variation rule of the corresponding electric device based on the load sequence includes:
dividing the load sequences every day to form a plurality of load subsequences, carrying out mobility analysis on each load subsequence to obtain related fluctuation parameters, and taking the fluctuation parameters of one load subsequence as a data set;
and analyzing each data set through a preset model to obtain the load change rule of the corresponding electric equipment on the corresponding day.
Preferably, the determining of the necessity of connecting the corresponding electric devices in the future peak power utilization period in combination with the power demand level includes:
predicting a daily load curve of a future time period based on historical power supply conditions of power distribution feeders, and further determining a future peak power utilization period;
matching the daily load curves with all historical daily load curves based on the future peak power utilization period to obtain the historical daily load curve with the highest matching degree, and further obtaining a first change rule and a first demand grade of the power utilization equipment at the corresponding time;
based on the first change law and the first demand level, the connection necessity of the corresponding electric equipment in the future peak power utilization period is calculated.
Preferably, the method for predicting the daily load curve of the future period based on the historical power supply condition of the power distribution feeder to determine the future peak power utilization period comprises the following steps:
acquiring historical power supply conditions of power distribution feeders, performing cluster analysis on the historical power supply conditions, and acquiring historical power supply conditions of the same type of days;
based on the historical power supply conditions of N days of the same type, taking daily load data of each day of the same type as a set, constructing a first prediction data set by using all the daily load data sets, and predicting the daily load of the future day of the same type by using a load prediction model based on the first prediction data set to obtain a first prediction result of the daily load of the future day of the same type;
based on the historical power supply conditions of N days of the same type, load data of the same time point of the same type of day are used as a set, a second prediction data set is constructed by using the load data sets of all time points, a load prediction model is used for predicting the load of the same time point of the future day of the same type based on the second prediction data set, and then a second prediction result of the load of the future day of the same type is obtained;
performing difference analysis on the first prediction result and the second prediction result to obtain the same prediction result;
optimizing the load prediction model based on the same prediction result;
based on the optimized load prediction model, respectively predicting by using the first prediction data set and the second prediction data set again, performing difference analysis on the two obtained prediction results again, further optimizing the load prediction model until the two prediction results are the same, and taking the same prediction result as a daily load prediction result of the same type of day in the future;
and constructing a predicted daily load curve based on the daily load prediction result, and further acquiring the future peak power utilization period.
Preferably, calculating the necessity of connecting the electric corresponding equipment in the future peak power utilization period based on the first change rule and the first demand level comprises:
Figure 406907DEST_PATH_IMAGE001
wherein, the first and the second end of the pipe are connected with each other,
Figure 168190DEST_PATH_IMAGE002
representing the importance of the electricity demand level of the ith electric equipment;
Figure 290867DEST_PATH_IMAGE003
a value representing a first demand level for an ith powered device; n is the number of electric equipment connected on the distribution feeder;
Figure 453995DEST_PATH_IMAGE004
indicating the load intensity ratio of the ith electric equipment in the future peak period,
Figure 308818DEST_PATH_IMAGE005
wherein the content of the first and second substances,
Figure 822976DEST_PATH_IMAGE006
first variation gauge for indicating ith electric equipmentFunctional relationships corresponding to the laws;
Figure 483765DEST_PATH_IMAGE007
representing the total load of the ith powered device during future peak power periods;
Figure 235820DEST_PATH_IMAGE008
representing the beginning of the future peak electricity utilization period,
Figure 589441DEST_PATH_IMAGE009
representing the end of a future peak electricity usage period;
Figure 826781DEST_PATH_IMAGE010
wherein the content of the first and second substances,
Figure 228943DEST_PATH_IMAGE011
indicating the necessity of connection of the ith powered device,
Figure 897822DEST_PATH_IMAGE012
a coefficient indicating a ratio of the load strength,
Figure 625607DEST_PATH_IMAGE013
and representing the importance coefficient of the electricity demand level.
Preferably, when the connection necessity is smaller than the preset necessity, the disconnection control of the electric device which is not necessarily connected based on the control chip includes:
comparing the connection necessity of the electric equipment with preset necessity, and marking the electric equipment when the connection necessity of the electric equipment is less than the preset necessity;
and summarizing the marked electric equipment, and performing disconnection control on the marked electric equipment by using the control chip in the future power utilization peak period.
A chip for control of peak load on a distribution feeder, wherein said chip is operable to perform any of the methods described above.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flow chart of a chip control method for peak load of a distribution feeder according to an embodiment of the present invention;
FIG. 2 is a flowchart of embodiment 7 of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1
An embodiment of the present invention provides a chip control method for peak load of a power distribution feeder, as shown in fig. 1, including:
step 1: acquiring historical power utilization conditions of all power utilization equipment connected to a power distribution feeder line in a historical time period, establishing a historical daily load use graph of the power utilization equipment, and determining power utilization requirement levels of the power utilization equipment on different historical dates;
step 2: acquiring historical power supply conditions of the power distribution feeder, acquiring load contribution of the power distribution feeder to currently connected electric equipment in historical peak power utilization periods, further constructing a contribution use graph, and constructing a load sequence of the electric equipment by combining the historical daily load use graph of the connected electric equipment;
and 3, step 3: determining a load change rule of the corresponding electric equipment based on the load sequence, wherein the load change rule is combined with an electric demand grade corresponding to a future peak power utilization period to determine the connection necessity of the corresponding electric equipment in the future peak power utilization period;
and 4, step 4: and when the connection necessity is smaller than the preset necessity, performing disconnection control on the electric equipment which is not necessarily connected based on the control chip.
In this embodiment, the historical daily load usage graph is created by dividing the historical power consumption conditions of the power consumption devices according to the time period, the power consumption demand levels are five levels, the first level > the second level > the third level > the fourth level > the fifth level, and each power consumption device determines the daily power consumption demand level according to the daily load usage graph.
In this embodiment, the load contribution is a ratio of a load of the electrical equipment to a load of the distribution feeder at the same time point during the historical peak electricity utilization period, the contribution usage graph is constructed based on the load contribution at each time point, and the load sequence is constructed with the load data of the adjusted historical daily load usage graph.
In this embodiment, the load change rule is obtained by analyzing the load sequence, the daily load change rule of each electric device is obtained by the daily load sequence, the connection necessity refers to the necessity of switching on the circuit of the electric device in the future peak power utilization period, and is calculated by the power demand level of the electric device and the load change rule.
In this embodiment, the necessity of presetting is set in advance.
The beneficial effects of the above technical scheme are: the method comprises the steps of establishing a historical daily load use graph of the electric equipment, determining the electricity demand grade of the electric equipment, determining the load contribution of a power distribution feeder line to the connected electric equipment in a historical peak electricity utilization period, constructing a load contribution graph and a load sequence, determining the load change rule of the electric equipment through the load sequence, combining the electricity demand grade of the electric equipment, obtaining the connection necessity of the electric equipment in the future peak period, controlling the electric equipment which does not need to be connected based on a control chip, and relieving the power grid load in the peak electricity utilization period.
Example 2
Based on embodiment 1, acquiring historical power consumption conditions of each electric device connected to a distribution feeder within a preset time period, establishing a historical daily load usage graph of the electric devices, and determining power consumption demand levels of the electric devices on different historical dates, including:
dividing the historical power utilization condition of each piece of power utilization equipment according to the time period;
establishing a historical daily load use graph corresponding to the electric equipment according to the division result of the historical electricity utilization condition of the electric equipment;
and analyzing the historical daily load usage graph of the electric equipment, and determining the power demand levels of the corresponding electric equipment on different historical dates.
Wherein the time period comprises a number of historical dates.
In this embodiment, dividing according to the time period refers to dividing the historical electricity consumption condition by taking one week as one period.
In this embodiment, the power demand level is obtained by performing multi-index calculation on the historical daily load usage graph and then comparing the power demand level with a preset standard value.
The beneficial effects of the above technical scheme are: the historical power utilization conditions of each piece of electric equipment are divided, a historical daily load use graph of the electric equipment is established, the power utilization demand grades of the electric equipment on different historical dates are further obtained, and a foundation is laid for the follow-up calculation of the connection necessity of the electric equipment.
Example 3
Based on embodiment 2, analyzing the historical daily load usage graph of the electric device, and determining the electricity demand levels of the corresponding electric device on different historical dates includes:
dividing a historical daily load use graph of the electric equipment every day, and performing multi-index calculation on the daily historical daily load use graph;
and comparing the multi-index calculation result with a preset standard value, so as to determine the electricity demand level of the electricity utilization equipment on the corresponding day.
In this embodiment, the multi-index calculation refers to daily maximum load, daily average load, daily load rate, daily minimum load rate, daily peak-to-valley difference, and the like.
In this embodiment, the preset standard value is preset, 4 standard values are provided according to the user demand level, and the multi-index calculation result higher than the first standard value is the first level.
The beneficial effects of the above technical scheme are: through carrying out multi-index calculation on the daily load use graph of the history every day and comparing the multi-index calculation with a preset standard value, the power consumption demand grades of different electric equipment every day can be accurately distinguished, and a foundation is laid for the connection necessity of the subsequent calculation of the electric equipment.
Example 4
Based on embodiment 1, obtaining a historical power supply situation of the power distribution feeder, and obtaining a load contribution of the power distribution feeder to a currently connected power consumption device in a historical peak power consumption period, so as to construct a contribution usage graph, and constructing a load sequence to the power consumption device by combining a historical daily load usage graph of the connected power consumption device, including:
acquiring the historical power supply condition of the power distribution feeder line in the same historical time period, and dividing the historical power supply condition of the power distribution feeder line according to a time period;
establishing a historical daily load curve of the distribution feeder according to the division result of the historical power supply condition of the distribution feeder;
calculating an average load line of a corresponding day based on a daily historical daily load curve, and calibrating a time period corresponding to a curve above the average load line in the corresponding historical daily load curve as a historical peak power utilization period;
acquiring a first historical usage graph of connected electric equipment in a historical peak electricity utilization period, determining load contribution of a distribution feeder to each electric equipment at each time point in the historical peak electricity utilization period based on a first load curve of the distribution feeder in the historical peak electricity utilization period, and further constructing a contribution usage graph of the electric equipment;
adjusting the load of the historical daily load usage graph in the historical peak electricity utilization period on the same date based on the contribution usage graph of the electricity utilization equipment;
and constructing a load sequence to the electric equipment based on the adjusted historical daily load use graph.
In this embodiment, dividing according to the time period refers to dividing the historical electricity consumption condition by taking one week as one period.
In this embodiment, the first historical usage graph is obtained by intercepting the historical peak power utilization period based on the historical daily load usage graph of the power utilization equipment, and the first load curve is obtained in a similar manner.
In this embodiment, the contribution usage map is also created according to time period division, but contains only the load contributions of the daily historical peak electricity usage periods, while the historical daily load usage map is an image containing the daily loads of the electrical devices at all time points of the day.
In this embodiment, the adjustment of the historical daily load usage map based on the contribution usage map is to scale the load of the historical daily load usage map corresponding to the time point according to the load contribution of the contribution usage map.
The beneficial effects of the above technical scheme are: the historical power supply conditions of the power distribution feeder lines are divided, daily load curves of the power distribution feeder lines are established, historical peak power consumption periods are determined, load contribution of the power distribution feeder lines to power consumption equipment is further determined, a contribution use graph of the power consumption equipment is established, the historical daily load use graph of the power consumption equipment is adjusted, a load sequence is established, and a foundation is laid for determining load change rules of the power consumption equipment subsequently.
Example 5
Based on embodiment 4, determining the load contribution of the power distribution feeder to each electric device at each time point in the historical peak power utilization period, and further constructing a contribution use graph of the electric devices, wherein the contribution use graph comprises:
obtaining the required load of the electric equipment at each time point in the historical peak power utilization period based on the historical daily load usage graph of the electric equipment in the historical peak power utilization period;
determining a total contribution load of the distribution feeder at a same point in time during a same historical peak electricity usage period based on a load curve of the distribution feeder during the historical peak electricity usage period;
taking the ratio of the required load of the electric equipment to the total contribution load of the distribution feeder as the load contribution of the distribution feeder to the electric equipment;
and (4) carrying out time sequencing on the load contributions of the same electric equipment to obtain a contribution use graph.
The beneficial effects of the above technical scheme are: the load contribution is obtained based on the load ratio of the same time point by determining the load of the electric equipment and the distribution feeder at each time point in the historical peak power utilization period, so that the contribution use graph of the same electric equipment is constructed, and a foundation is laid for adjusting the historical daily load use graph of the electric equipment and constructing a load sequence.
Example 6
Based on embodiment 1, determining a load change rule of the corresponding electric device based on the load sequence includes:
dividing the load sequences every day to form a plurality of load subsequences, carrying out mobility analysis on each load subsequence to obtain related fluctuation parameters, and taking the fluctuation parameters of one load subsequence as a data set;
and analyzing each data set through a preset model to obtain a load change rule of the corresponding electric equipment in the corresponding time period.
In this embodiment, the pre-set model is trained in advance based on the data set.
In this embodiment, the load variation rule is a variation rule of a data set obtained by a preset model based on the data set, such as a data set (1, 2,3, 4), the variation rule is gradually increased, and the variation rule can be represented by a corresponding function, such as a function f (t) = t of the data set (1, 2,3, 4).
The beneficial effects of the above technical scheme are: the load sequences are divided every day to obtain daily load subsequences, fluctuation parameters of each subsequence are used as a data set, the data set is analyzed through a preset model to obtain a daily load change rule of the electric equipment, and a foundation is laid for the follow-up calculation of the connection necessity of the electric equipment.
Example 7
Based on embodiment 1, the necessity of connection of the corresponding electric equipment in the future peak power utilization period is determined by combining the power demand level, as shown in fig. 2, including:
predicting a daily load curve of a future time period based on the historical power supply condition of the power distribution feeder, and further determining the future peak power utilization time period;
matching with all historical daily load curves based on the daily load curve of the future peak power utilization period to obtain the historical daily load curve with the highest matching degree, and further obtaining a first change rule and a first demand grade of the power utilization equipment at the corresponding time;
and calculating the connection necessity of the corresponding electric equipment in the future peak power utilization period based on the first change rule and the first demand level.
In this embodiment, the prediction of the daily load curve for the future time period is based on a load prediction model.
In this embodiment, the first change rule is obtained in the same manner as the load change rule, and the first demand level is obtained in the same manner as the power demand level. The corresponding time is the corresponding day of the historical daily load curve with the maximum matching degree, the first change rule is the load change rule of the electric equipment on the current day of the historical daily load curve with the maximum matching degree, and the first requirement grade is the electricity requirement grade of the electric equipment on the current day of the historical daily load curve with the maximum matching degree.
The beneficial effects of the above technical scheme are: the method comprises the steps of predicting a future daily load curve and a peak power utilization period according to historical power supply conditions of a power distribution feeder, matching the future daily load curve with all historical daily load curves to obtain a historical daily load curve with the highest matching degree, further obtaining a first change rule and a first demand grade, calculating the connection necessity of the electric equipment in the future peak power utilization period, and laying a foundation for determining whether the electric equipment needs to be controlled in the future peak power utilization period or not in the follow-up process.
Example 8
Based on embodiment 7, the method for predicting the daily load curve of the future period based on the historical power supply condition of the power distribution feeder so as to determine the future peak power utilization period comprises the following steps:
acquiring historical power supply conditions of power distribution feeders, performing cluster analysis on the historical power supply conditions, and acquiring historical power supply conditions of the same type of days;
based on the historical power supply conditions of N days of the same type, taking daily load data of each day of the same type as a set, constructing a first prediction data set by using all daily load data sets, and predicting the daily load of the future day of the same type by using a load prediction model based on the first prediction data set to obtain a first prediction result of the daily load of the future day of the same type;
based on the historical power supply conditions of N days of the same type, load data of the same time point of the days of the same type are used as a set, a second prediction data set is constructed by using the load data sets of all time points, and based on the second prediction data set, a load prediction model is used for predicting the load of the same time point of the future days of the same type, so that a second prediction result of the daily load of the future days of the same type is obtained;
performing difference analysis on the first prediction result and the second prediction result to obtain the same prediction result;
optimizing the load prediction model based on the same prediction result;
based on the optimized load prediction model, respectively predicting by using the first prediction data set and the second prediction data set again, performing difference analysis on the two obtained prediction results again, further optimizing the load prediction model until the two prediction results are the same, and taking the same prediction result as a daily load prediction result of the same type of day in the future;
and constructing a predicted daily load curve based on the daily load prediction result, and further acquiring the future peak power utilization period.
In this embodiment, the same type of day refers to a plurality of same weeks, such as a plurality of mondays, in the historical power supply situation.
In this embodiment, the load prediction model is trained in advance based on previous data sets, the first prediction data set is constructed by using daily load data of each Monday as a set, all the daily load sets of the Monday construct a first prediction data set, the load prediction model predicts the daily load of the future Monday to obtain a first prediction result,
in this embodiment, the second prediction data set is constructed by using the load data at 0 point of all monday as a set, and the load at each time point of future monday is predicted by using the load prediction model, so as to obtain a second prediction result of the daily load of future monday.
In this embodiment, the future peak electricity usage periods are obtained in the same manner as the historical peak electricity usage periods.
The beneficial effects of the above technical scheme are: the method comprises the steps of processing daily load data of N days of the same type in two ways, constructing two different prediction data sets, predicting the daily load of the future days of the same type by using a load prediction model based on the two prediction data sets, performing difference analysis on prediction results, optimizing the load prediction model by using the same prediction result, predicting the two prediction data sets respectively again until the two prediction results are the same, further acquiring the future peak power utilization period, and improving the accuracy of the daily load prediction of the future period.
Example 9
Based on embodiment 7, calculating the necessity of connecting the corresponding electric device at the future peak power utilization period based on the first change rule and the first demand level includes:
Figure 583198DEST_PATH_IMAGE014
wherein the content of the first and second substances,
Figure 585789DEST_PATH_IMAGE002
representing the importance of the electricity demand level of the ith electric equipment;
Figure 578016DEST_PATH_IMAGE003
a value representing a first demand level for an ith powered device; n is the number of electric equipment connected on the distribution feeder;
Figure 211123DEST_PATH_IMAGE004
indicating the load intensity duty ratio of the ith electric equipment in the future peak period,
Figure 656011DEST_PATH_IMAGE015
wherein, the first and the second end of the pipe are connected with each other,
Figure 462293DEST_PATH_IMAGE006
the functional relation corresponding to the first change rule of the ith electric equipment is represented;
Figure 574605DEST_PATH_IMAGE007
representing the total load of the ith consumer during future peak electricity usage;
Figure 611569DEST_PATH_IMAGE008
representing the beginning of the future peak electricity utilization period,
Figure 606070DEST_PATH_IMAGE009
representing the end of a future peak electricity usage period;
Figure 888147DEST_PATH_IMAGE016
wherein, the first and the second end of the pipe are connected with each other,
Figure 854966DEST_PATH_IMAGE017
indicating the necessity of connection of the ith powered device,
Figure 626613DEST_PATH_IMAGE018
a coefficient indicating a ratio of the load intensity,
Figure 311672DEST_PATH_IMAGE019
and representing the importance coefficient of the electricity demand level.
In this embodiment of the present invention,
Figure 397439DEST_PATH_IMAGE018
the value range of (1) is (0, 0.5),
Figure 15503DEST_PATH_IMAGE019
the value range of (1) is (0.5).
The beneficial effects of the above technical scheme are: the importance of the power demand level of the electric equipment and the duty ratio of the load intensity in the future peak power utilization period are calculated, so that the connection necessity of the electric equipment in the future peak power utilization period is further obtained, and a foundation is laid for determining whether the electric equipment needs to be controlled in the future peak power utilization period.
Example 10
Based on embodiment 1, when the connection necessity is smaller than the preset necessity, performing disconnection control on the electric device which is not necessarily connected based on the control chip includes:
comparing the connection necessity of the electric equipment with preset necessity, and marking the electric equipment when the connection necessity of the electric equipment is smaller than the preset necessity;
and summarizing the marked electric equipment, and performing disconnection control on the marked electric equipment by using the control chip in the future power utilization peak period.
When the connection necessity is smaller than the preset necessity, the process of performing disconnection control on the electric equipment which is not necessarily connected based on the control chip further comprises:
verifying whether disconnection control of unnecessarily connected electric equipment is reasonable comprises the following steps:
determining the connection necessity of each unnecessary connection device based on the connection necessity corresponding to the future power utilization peak period, and outlining a connection necessity curve of the corresponding unnecessary connection device in a plurality of continuous future power utilization peak periods;
determining a first connection demand value of corresponding unnecessary connection equipment in adjacent electricity utilization periods of each future electricity utilization peak period, and outlining a verification connection curve under a continuous period formed on the basis of a plurality of future electricity utilization peak periods;
determining a disconnection control value corresponding to unnecessary connection equipment based on the verification connection curve and the necessary connection curve;
Figure 426892DEST_PATH_IMAGE020
Figure 68089DEST_PATH_IMAGE021
wherein j =1,2,3,.. M;
wherein, the first and the second end of the pipe are connected with each other,
Figure 754286DEST_PATH_IMAGE022
indicating a connection necessity corresponding to the first connection demand value for the corresponding unnecessary connection device in the jth adjacent electricity usage period;
Figure 695697DEST_PATH_IMAGE023
indicating a necessity of connection of the corresponding unnecessary connection device based on a left future peak hour of the jth adjacent electricity usage hour;
Figure 248294DEST_PATH_IMAGE024
indicating a necessity of connection of the corresponding unnecessary connection device based on a right future peak hour of the jth adjacent electricity usage hour;
Figure 642366DEST_PATH_IMAGE025
representing a disconnection value reference factor of a corresponding unnecessary connection device in the jth adjacent electricity utilization period;
Figure 132254DEST_PATH_IMAGE026
indicating a reference weight of the corresponding unnecessary connection device in the jth adjacent electricity utilization period;
Figure 662592DEST_PATH_IMAGE027
indicating a disconnection control value corresponding to an unnecessarily connected device(ii) a m represents the total number of adjacent electricity utilization time periods;
the verification connection curve is obtained by drawing the middle part of the verification connection curve based on the first future peak time and the last future peak time as boundaries, and the adjacent electricity utilization time under the future peak time and the non-boundary future peak time are alternated mutually, and the connection necessary curve is obtained by drawing based on different future peak times;
when the disconnection control value is greater than the preset value, judging that the disconnection control of the corresponding unnecessary connection equipment is reasonable;
otherwise, it is determined that the disconnection control of the corresponding unnecessary connection device is not reasonable.
The beneficial effects of the above technical scheme are: the connection necessity of the electric equipment is compared with the preset necessity, the electric equipment which is unnecessarily connected in the future peak power utilization period is determined, and the electric equipment which is unnecessarily connected is disconnected and controlled in the future peak power utilization period through the control chip, so that resources are saved, and the load of a power grid in the power utilization peak period is relieved.
A chip for control of peak load on a distribution feeder, wherein said chip is operable to perform the method of any of the above embodiments.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (11)

1. A chip control method for peak load of a distribution feeder, comprising:
step 1: acquiring historical power utilization conditions of each piece of electric equipment connected to a power distribution feeder line in a historical time period, establishing a historical daily load use graph of the electric equipment, and determining power utilization requirement levels of the electric equipment on different historical dates;
and 2, step: acquiring historical power supply conditions of the power distribution feeder, acquiring load contribution of the power distribution feeder to currently connected electric equipment in historical peak power utilization periods, further constructing a contribution use graph, and constructing a load sequence of the electric equipment by combining the historical daily load use graph of the connected electric equipment;
and 3, step 3: determining a load change rule of the corresponding electric equipment based on the load sequence, and determining the connection necessity of the corresponding electric equipment in a future peak power utilization period by combining with a power utilization demand level corresponding to the future peak power utilization period;
and 4, step 4: and when the connection necessity is smaller than the preset necessity, performing disconnection control on the electric equipment which is not necessarily connected based on the control chip.
2. The chip control method for peak load of a distribution feeder according to claim 1, wherein obtaining historical power consumption of each power consumption device connected to the distribution feeder within a preset time period, creating a historical daily load usage graph for the power consumption devices, and determining power consumption demand levels of the power consumption devices on different historical dates comprises:
dividing the historical power utilization condition of each piece of power utilization equipment according to the time period;
establishing a historical daily load use graph corresponding to the electric equipment according to the division result of the historical electricity utilization condition of the electric equipment;
analyzing the historical daily load use graph of the electric equipment, and determining the power demand grades of the corresponding electric equipment on different historical dates;
wherein the time period comprises a number of historical dates.
3. The method of chip control for distribution feeder peak load as recited in claim 2, wherein analyzing a historical daily load usage graph of said powered devices to determine power demand levels for the powered devices on different historical dates comprises:
dividing a historical daily load use graph of the electric equipment every day, and performing multi-index calculation on the daily historical daily load use graph;
and comparing the multi-index calculation result with a preset standard value, so as to determine the electricity demand level of the electricity utilization equipment on the corresponding day.
4. The chip control method for peak load of distribution feeder according to claim 1, wherein obtaining historical power supply condition of the distribution feeder and obtaining load contribution of the distribution feeder to the current connected electric equipment in the historical peak power utilization period, thereby constructing a contribution usage graph, and constructing a load sequence to the electric equipment by combining the historical daily load usage graph of the connected electric equipment, comprises:
acquiring the historical power supply condition of the power distribution feeder line in the same historical time period, and dividing the historical power supply condition of the power distribution feeder line according to a time period;
establishing a historical daily load curve of the distribution feeder according to the division result of the historical power supply condition of the distribution feeder;
calculating an average load line of a corresponding day based on a daily historical daily load curve, and calibrating a time period corresponding to a curve above the average load line in the corresponding historical daily load curve as a historical peak power utilization period;
acquiring a first historical usage graph of connected electric equipment in a historical peak electricity utilization period, determining load contribution of a distribution feeder to each electric equipment at each time point in the historical peak electricity utilization period based on a first load curve of the distribution feeder in the historical peak electricity utilization period, and further constructing a contribution usage graph of the electric equipment;
adjusting the load of the historical daily load use graph at the historical peak power utilization period on the same date based on the contribution use graph of the power utilization equipment;
and constructing a load sequence to the electric equipment based on the adjusted historical daily load use graph.
5. The chip control method for peak load on a distribution feeder of claim 4, wherein determining the load contribution of the distribution feeder to each powered device at each time point during historical peak power periods to construct a contribution usage graph for the powered devices comprises:
obtaining the required load of the electric equipment at each time point in the historical peak power utilization period based on the historical daily load usage graph of the electric equipment in the historical peak power utilization period;
determining a total contribution load of the distribution feeder at a same point in time during a historical peak electricity usage period based on a load curve of the distribution feeder during the historical peak electricity usage period;
taking the ratio of the required load of the electric equipment to the total contribution load of the distribution feeder as the load contribution of the distribution feeder to the electric equipment;
and carrying out time sequencing on the load contributions of the same electric equipment to obtain a contribution use graph.
6. The chip control method for peak load on a distribution feeder of claim 1, wherein determining a load variation law for a corresponding electrical device based on the load sequence comprises:
dividing the load sequences every day to form a plurality of load subsequences, carrying out mobility analysis on each load subsequence to obtain related fluctuation parameters, and taking the fluctuation parameters of one load subsequence as a data set;
and analyzing each data set through a preset model to obtain the load change rule of the corresponding electric equipment on the corresponding day.
7. The chip control method for peak power distribution feeder loading according to claim 1, wherein determining the necessity of connection of the corresponding powered device during future peak power usage periods in conjunction with the power demand rating comprises:
predicting a daily load curve of a future time period based on historical power supply conditions of power distribution feeders, and further determining a future peak power utilization period;
matching the daily load curves with all historical daily load curves based on the future peak power utilization period to obtain the historical daily load curve with the highest matching degree, and further obtaining a first change rule and a first demand grade of the power utilization equipment at the corresponding time;
and calculating the connection necessity of the corresponding electric equipment in the future peak power utilization period based on the first change rule and the first demand level.
8. The chip control method for peak load on an electrical distribution feeder of claim 7, wherein predicting a daily load profile for a future time period based on historical power delivery conditions for the electrical distribution feeder to determine the future peak power usage period comprises:
acquiring historical power supply conditions of power distribution feeders, and performing cluster analysis on the historical power supply conditions to acquire the historical power supply conditions of the same type of days;
based on the historical power supply conditions of N days of the same type, taking daily load data of each day of the same type as a set, constructing a first prediction data set by using all daily load data sets, and predicting the daily load of the future day of the same type by using a load prediction model based on the first prediction data set to obtain a first prediction result of the daily load of the future day of the same type;
based on the historical power supply conditions of N days of the same type, load data of the same time point of the same type of day are used as a set, a second prediction data set is constructed by using the load data sets of all time points, a load prediction model is used for predicting the load of the same time point of the future day of the same type based on the second prediction data set, and then a second prediction result of the load of the future day of the same type is obtained;
performing difference analysis on the first prediction result and the second prediction result to obtain the same prediction result;
optimizing the load prediction model based on the same prediction result;
based on the optimized load prediction model, respectively predicting by using the first prediction data set and the second prediction data set again, performing difference analysis on the two obtained prediction results again, further optimizing the load prediction model until the two prediction results are the same, and taking the same prediction result as a daily load prediction result of the same type of day in the future;
and constructing a predicted daily load curve based on the daily load prediction result, and further acquiring the future peak power utilization period.
9. The chip control method for peak load on a distribution feeder of claim 7, wherein calculating the necessity for connection of the powered device during a future peak power usage period based on the first law of variation and the first demand level comprises:
Figure 398235DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 631770DEST_PATH_IMAGE002
representing the importance of the electricity demand level of the ith electric equipment;
Figure 931164DEST_PATH_IMAGE003
a value representing a first demand level for an ith powered device; n is the number of electric equipment connected on the distribution feeder;
Figure 111610DEST_PATH_IMAGE004
indicating the load intensity ratio of the ith electric equipment in the future peak period,
Figure 242377DEST_PATH_IMAGE005
wherein the content of the first and second substances,
Figure 584496DEST_PATH_IMAGE006
the functional relation corresponding to the first change rule of the ith electric equipment is represented;
Figure 636766DEST_PATH_IMAGE007
representing the total load of the ith consumer during future peak electricity usage;
Figure 152061DEST_PATH_IMAGE008
representing the beginning of the future peak electricity utilization period,
Figure 340597DEST_PATH_IMAGE009
representing the end of the future peak power utilization period;
Figure 119197DEST_PATH_IMAGE010
wherein, the first and the second end of the pipe are connected with each other,
Figure 455500DEST_PATH_IMAGE011
indicating the necessity of connection of the ith powered device,
Figure 712169DEST_PATH_IMAGE012
a coefficient indicating a ratio of the load strength,
Figure 817529DEST_PATH_IMAGE013
and representing the importance coefficient of the electricity demand level.
10. The chip control method for peak load of distribution feeder according to claim 1, wherein when the connection necessity is less than a preset necessity, the disconnection control of the unnecessarily connected electric equipment based on the control chip comprises:
comparing the connection necessity of the electric equipment with preset necessity, and marking the electric equipment when the connection necessity of the electric equipment is less than the preset necessity;
and summarizing the marked electric equipment so that the control chip can perform disconnection control on the marked electric equipment in the future peak period of electricity utilization.
11. A chip for control of distribution feeder peak loads, wherein the chip when operated performs the method of any of claims 1 to 10.
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