CN116979529A - Power load evaluation method, system, equipment and storage medium - Google Patents
Power load evaluation method, system, equipment and storage medium Download PDFInfo
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- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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Abstract
The invention relates to the technical field of power load evaluation, in particular to a power load evaluation method, a system, equipment and a storage medium, which can make an evaluation result finer, evaluate the power load more accurately and formulate corresponding power supply guarantee measures; the method comprises the following steps: acquiring all power consumption information of a power demand side on a future evaluation date according to historical load analysis, wherein the power consumption information of the power demand side comprises each power consumption time period of the power demand side in the evaluation date and the power load corresponding to each power consumption time period; and converting n electricity utilization time periods of all the electricity demand sides into an electricity load Gantt chart, wherein the electricity load Gantt chart is provided with n task bars, the transverse direction is a time axis in the electricity load Gantt chart, the longitudinal direction is formed by all the electricity demand sides, the task bars in the electricity load Gantt chart are the electricity utilization time periods of the electricity demand sides, and the task bars are identified as the electricity loads corresponding to the electricity utilization time periods.
Description
Technical Field
The present invention relates to the field of power load assessment technologies, and in particular, to a power load assessment method, system, device, and storage medium.
Background
The electric load refers to the electric energy supply amount required in the electric power network, namely, the electric energy obtained by a user or load equipment from the electric power system; the power load has different changes along with the time, and the characteristics of daily change, seasonal change, annual change and the like are presented; accurate assessment and prediction of electrical loads is critical to electrical system operation and planning; the power operators and planners need to accurately know the change trend and characteristics of the power load so as to ensure that the power system can meet the requirements of users, avoid the occurrence of the condition of excessive or insufficient power supply and ensure the stable operation of the power system.
In the implementation process of the existing power load assessment method, the distribution of the change of the power load on a time axis is not accurately divided, for example, the rated power of a power supply node in a part of time period can meet the power load on the demand side, the rated power of a power supply node in an adjacent time period cannot meet the power load on the demand side, the time period duration capable of meeting the power load on the demand side is shorter, and due to the insufficient division precision, the standby power generation capacity of the power supply node capable of meeting the power load on the demand side is increased or the power load on the demand side is scheduled, so that the power resource waste is caused.
Disclosure of Invention
In order to solve the technical problems, the invention provides the power load evaluation method which can make the evaluation result finer, evaluate the power load more accurately and formulate corresponding power supply guarantee measures.
In a first aspect, the present invention provides a power load assessment method comprising:
acquiring all power consumption information of a power demand side on a future evaluation date according to historical load analysis, wherein the power consumption information of the power demand side comprises power consumption time periods of the power demand side in the evaluation date and power loads corresponding to each power consumption time period, and the power consumption time periods refer to time periods when the power consumption load of the power demand side exceeds a preset threshold value;
converting n electricity utilization time periods of all power demand sides into an electric load Gantt chart, wherein the electric load Gantt chart is provided with n task bars, the transverse direction is a time axis in the electric load Gantt chart, the longitudinal direction is composed of all power demand sides, the task bars in the electric load Gantt chart are the electricity utilization time periods of the power demand sides, and the task bars are identified as electric loads corresponding to the electricity utilization time periods;
extracting start and stop time stamps of each task bar in the electric load Gantt chart to obtain 2n time stamps; sequencing the 2n time stamps according to the time sequence to obtain a power utilization time axis of the demand side;
Taking a time period between two adjacent time stamps in the electricity utilization time axis at the demand side as a load time window to obtain a plurality of load time windows;
calculating the total load stage amount of each load time window to obtain a power load set consisting of a plurality of total load stage amounts, wherein each total load stage amount in the power load set corresponds to a unique load time window;
acquiring rated power of a power supply node for providing power for all power demand sides;
performing traversal comparison on rated power of the power supply node and total load stages in the power load set, and extracting a load time window with total load stages exceeding the rated power of the power supply node and a load shortage corresponding to the load time window;
and formulating power supply guarantee measures according to the load time window of the lack of the power load and the lack of the load.
Further, the conversion method of the electric load Gantt chart comprises the following steps:
determining the range of a transverse axis of a task bar of the electric load Gantt chart, and determining the length of the task bar on each electric power demand side according to the start and stop time stamps of the electric power utilization time period;
determining the range of a vertical axis of a task bar of the power load Gantt chart, and determining the height of the task bar according to the power load value in the power utilization time period of each power demand side;
Arranging task bars on all power demand sides in a power load Gantt chart according to a time sequence; the power usage periods on the same power demand side will be represented with different task bars within the same row in the power load sweet-spot diagram.
Further, the method for acquiring the electricity consumption time axis at the demand side comprises the following steps:
traversing n task bars in the electric load Gantt chart;
extracting starting time stamps and ending time stamps of the task bars for n task bars;
organizing the start time stamp and the end time stamp into a list of 2n time stamps;
and according to the principle that the earlier time stamp is in front and the later time stamp is in back, sequencing 2n time stamps in the time stamp list according to the time sequence, and obtaining the electricity utilization time axis of the demand side.
Further, the demand side electricity consumption time axis is expressed as follows:
[t 1 , t 2 , t 3 , t 4 ,…, t i , …, t 2n ]；
wherein t is i Representing the start time stamp or the end time stamp of the task bar.
Further, the method for acquiring the power load set comprises the following steps:
for each load time window, determining the electricity consumption time period of the electricity demand side in the load time window according to the start-stop time stamp of the load time window;
traversing all power consumption time periods of the power demand side in the load time window, and accumulating power load values of all power demand sides to obtain the total load stage quantity;
Through the above process, the corresponding total load stage amount is calculated for each load time window;
the total amount of load phases of all load time windows is assembled into an electrical load set.
Further, the power supply safeguard measure includes:
the power generation capacity is increased to meet the power consumption requirement of the requirement side;
the load on the demand side is managed, regulated and controlled to balance the supply-demand relationship;
introducing an energy storage facility to make up for short-term load shortage;
and an energy Internet is established to realize multi-energy complementation and energy regulation.
Further, the method for acquiring all power demand side power consumption information of the date to be evaluated in the future comprises the following steps:
collecting historical electricity utilization data, including electricity utilization time and corresponding power load information;
processing the collected historical electricity consumption data, including data cleaning, abnormal value removal and vacant data removal;
extracting a power utilization time period exceeding the threshold according to the set threshold;
recording and storing the start-stop time and the corresponding power load information of each power utilization time period;
and according to the set evaluation date, extracting the electricity consumption time period and the corresponding load data related to the evaluation date from the historical electricity consumption data.
In another aspect, the present application also provides a power load assessment system, the system comprising:
The load prediction module is used for acquiring historical load data of the demand side, predicting power consumption information of the power demand side on the date to be evaluated according to the historical load data, and sending the power consumption information; the power demand side power consumption comprises power consumption time periods and corresponding power loads, wherein the power consumption time periods refer to time periods when the power consumption load of the demand side exceeds a preset threshold value;
the Gantt chart generation module is used for receiving electricity consumption at the electricity demand side and converting all electricity consumption time periods at the electricity demand side into an electric load Gantt chart; the horizontal axis of the power load Gantt chart represents a time axis, and the vertical axis is composed of all power demand sides; the task bar in the electric load Gantt chart represents an electricity utilization time period of the electricity demand side, and the task bar is identified as an electric load corresponding to the electricity utilization time period;
the time axis generation module is used for reading the electric power load Gantt chart, extracting the start and stop time stamp of each task bar in the electric power load Gantt chart, wherein the start and stop time stamp comprises a start time stamp and a stop time stamp, sequencing a plurality of time stamps according to time sequence, generating a power utilization time axis of a demand side and transmitting the power utilization time axis;
the load time window dividing module is used for receiving the power utilization time axis of the demand side, taking the time period between two adjacent time stamps in the power utilization time axis of the demand side as a load time window, generating a plurality of load time windows and transmitting the load time windows;
The data processing module is used for receiving a plurality of load time windows, calculating the total load stage quantity of each load time window, obtaining an electric load set consisting of a plurality of load stage quantities and transmitting the electric load set; wherein, the total amount of each load stage corresponds to a unique load time window;
the load shortage analysis module is used for acquiring rated power of the power supply node, receiving the power load set, comparing the rated power of the power supply node with the total load stage amount in the power load set one by one, judging whether the rated power is exceeded or not, and extracting a load time window and a corresponding load shortage amount when the total load stage amount exceeds the rated power of the power supply node; the load shortage is the difference between the total load stage and rated power exceeding the rated power;
and the power supply guarantee measure making module is used for reading the load time window exceeding the rated power of the power supply node and the corresponding load shortage and shortage, generating power supply guarantee measures according to the load time window and the load shortage and shortage of the load shortage and outputting the power supply guarantee measures.
In a third aspect, the present application provides an electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, the computer program when executed by the processor implementing the steps of any of the methods described above.
In a fourth aspect, the application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
Compared with the prior art, the application has the beneficial effects that:
according to the application, the electric load is converted into an electric load Gantt chart, and the time stamps are extracted and sequenced, so that a power utilization time axis and a load time window at the demand side are obtained; the dividing mode is more accurate, the change distribution condition of the power load on a time axis can be reflected more accurately, and the power resource waste caused by inaccurate division is avoided;
because the power load Gantt chart is divided according to the power consumption time period of the demand side, and the task bar is marked as the power load corresponding to the power consumption time period, each time period of the power consumption of the demand side can be analyzed in detail; the evaluation result is finer, and decision basis can be better provided for the power operators and planners;
the application considers the time period between two adjacent time stamps as a load time window, so that each load time window represents a section of power load data with time sequence relevance; the mode of considering the time sequence relevance is more in line with the actual situation, the relevance between different load stages can be captured, and the accuracy of the evaluation result is improved;
The rated power of the power supply node is compared with the total load stage in the load set, and a load time window in which the total load stage exceeds the rated power of the power supply node is extracted, so that the load shortage and the shortage can be conveniently calculated; the power planner can clearly know the gap condition of power supply and demand, and can pertinently formulate power supply guarantee measures;
in summary, the power load evaluation method has advantages over the existing method in terms of accuracy, fine granularity analysis, timing correlation consideration and calculation of the load shortage, and can evaluate the power load more accurately and formulate corresponding power supply guarantee measures.
Drawings
FIG. 1 is a flow chart of the present application;
FIG. 2 is a schematic diagram of an electrical load Gantt chart;
FIG. 3 is a flow chart of a demand side electricity timeline acquisition method;
fig. 4 is a block diagram of the electrical load assessment system.
Detailed Description
In the description of the present application, those skilled in the art will appreciate that the present application may be embodied as methods, apparatus, electronic devices, and computer-readable storage media. Accordingly, the present application may be embodied in the following forms: complete hardware, complete software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, the application may also be embodied in the form of a computer program product in one or more computer-readable storage media, which contain computer program code.
Any combination of one or more computer-readable storage media may be employed by the computer-readable storage media described above. The computer-readable storage medium includes: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer readable storage medium include the following: portable computer magnetic disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disk read-only memories, optical storage devices, magnetic storage devices, or any combination thereof. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device.
The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws.
The application provides a method, a device and electronic equipment through flow charts and/or block diagrams.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer readable program instructions may also be stored in a computer readable storage medium that can cause a computer or other programmable data processing apparatus to function in a particular manner. Thus, instructions stored in a computer-readable storage medium produce an instruction means which implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The present application will be described below with reference to the drawings in the present application.
Example 1
As shown in fig. 1 to 3, the power load evaluation method of the present application specifically includes the steps of:
s1, acquiring all power consumption information of a power demand side on a future evaluation date according to historical load analysis, wherein the power consumption information of the power demand side comprises each power consumption time period of the power demand side in the evaluation date and a power load corresponding to each power consumption time period;
The electricity consumption time period does not refer to a time period which is accumulated as long as electricity consumption is needed, but is each time period when the electricity load of the demand side exceeds a certain threshold value, and the step S1 is to acquire the electricity information of the electricity demand side on the future evaluation date through analysis of historical load data, so that the step is important, and basic data required by evaluation is provided; in order to achieve the object, the method specifically comprises the following steps:
s11, collecting historical electricity consumption data, including electricity consumption time and corresponding power load information; these data come from monitoring devices of the power system, smart meters or other related data sources;
s12, sorting and processing the collected historical electricity consumption data, including data cleaning, abnormal value removal, vacant data removal and the like; ensuring the integrity and accuracy of the data for subsequent analysis and modeling;
s13, extracting a power utilization time period exceeding a threshold according to the set threshold; these periods represent periods of higher demand side electricity demand; by setting a threshold value and extracting a power utilization time period exceeding the threshold value, a period in which the power utilization requirement of the requirement side is high can be determined; the method is important for the operation and optimization of the power system, and can make corresponding adjustment and countermeasure for the peak period so as to avoid the problems of overload or insufficient power supply;
S14, recording the start and stop time of each power utilization time period and corresponding power load information; this information will be used for subsequent load Gantt chart drawing and load assessment calculations;
s15, according to the set evaluation date, extracting the power consumption time period and the corresponding load data related to the evaluation date from the historical power consumption data, so that the evaluation can be performed aiming at a specific date, the power consumption condition and the load demand under the date can be known more accurately, and a reference is provided for management and scheduling of the power system.
Through the steps, the power demand side power consumption information on the future evaluation date can be obtained, and a data base is provided for subsequent power load evaluation; such historical load data based analysis may help power system operators and planners understand the trend of power demand and take appropriate measures to ensure reliable supply and balanced operation of the power system.
More specifically, the preset threshold is set according to the characteristics of the electricity load at the demand side, analysis of historical data and experience judgment; the specific setting of the preset threshold value needs to consider the following aspects:
characteristics of electricity load: according to the characteristics and the behavior mode of the electricity load at the demand side, a plurality of common electricity consumption peak periods can be determined; for example, for industrial users, the workday period of work may have a higher load demand; for residential users, there may be a high load demand for the early and late electricity periods; based on these characteristics, corresponding thresholds can be set;
Analysis of historical data: by analysis of historical electricity usage data, some fluctuations in electricity usage load and peaks Gu Tezheng can be observed; the preset threshold value can be determined based on the distribution condition and fluctuation range of the historical data; for example, the threshold may be set based on the difference between the peak load and the valley load in the historical data;
experience judgment and operation requirements: operators, planners and related professionals of power systems typically set thresholds according to their own experience and operating needs; determining a proper threshold value by considering factors such as reliability, safety, running cost and the like of the power system so as to make corresponding adjustment and countermeasure during peak load time;
it should be noted that, the setting of the preset threshold is a dynamic process, and may need to be continuously adjusted and optimized according to the actual situation; the preset threshold value can be corrected by continuously observing and monitoring the running condition of the system and analyzing by combining the actual electricity demand and load data so as to better reflect the actual electricity demand condition; the method can improve the accuracy of evaluation and effectively support the management and scheduling decision of the power system.
S2, converting n electricity utilization time periods of all power demand sides into an electric power load Gantt chart, wherein the electric power load Gantt chart is provided with n task bars, the transverse direction is a time axis in the electric power load Gantt chart, the longitudinal direction is formed by all the power demand sides, the task bars in the electric power load Gantt chart are the electricity utilization time periods of the power demand sides, and the task bars are marked as electric power loads corresponding to the electricity utilization time periods;
in this step, each electricity usage period in the acquired electricity demand side electricity usage information needs to be converted into an electricity load sweet spot map for subsequent analysis and evaluation; the electric load Gantt chart is a longitudinal chart which takes a time axis as a transverse direction and consists of different electric power demand sides; wherein the length of the task bar represents the duration of the power utilization period, and the height of the task bar represents the magnitude of the power load to the power utilization period; the specific conversion steps are as follows:
s21, determining the range of a transverse axis of the task bar, and determining the length of the task bar according to the start and stop time stamps of the electricity utilization time period of each power demand side; the horizontal axis range of each task bar is the start-stop time of the electricity utilization time period;
s22, determining the range of the vertical axis of the task bar, and determining the height of the task bar according to the power load size in the power utilization time period of each power demand side, so that the power load Gantt chart can clearly display the heights of all the task bars; the scale of the vertical axis should be selected appropriately to ensure that the height of the task bar is clearly visible and that the highest and lowest load values can be accommodated;
S23, arranging task bars on all power demand sides in the power load Gantt chart according to a time sequence so that the task bars are not overlapped; the power usage periods on the same power demand side will be represented with different task bars within the same row in the power load sweet-spot diagram.
In the step, the duration time of each power utilization time period and the corresponding power load are intuitively displayed in a graphical mode by converting the power utilization time period at the power demand side into a power load Gantt chart; the visual representation mode enables the complex electricity consumption data to be more readable, and is convenient for analysts to understand and analyze; the electric load Gantt chart forms a whole with all electric power demand sides through a longitudinal task bar, and can simultaneously display the electricity consumption conditions of a plurality of demand sides; this helps to comprehensively evaluate the load changes on different demand sides and the overall impact on the power system; in the electric load Gantt chart, task bars are arranged according to time sequence, so that the task bars are ensured not to overlap, and the time sequence is clear at a glance; the sequencing mode can better reflect the sequence and duration of the power utilization time periods, and is convenient for observing and comparing the load conditions of different time periods;
The height of the task bar in the power load Gantt chart represents the power load size for the applied power period; by properly selecting the scale of the vertical axis, the height of the task bar can be clearly seen and can accommodate the highest load value and the lowest load value; therefore, load levels of different time periods and demand sides can be intuitively compared, and an analyst is helped to determine key information such as peak load, valley load and the like; additional information such as time tags, electricity types and the like can be added to the power load Gantt chart according to the requirements; the electric load Gantt chart is richer and more expansive, more electricity consumption related information can be provided, and analysis and evaluation of different requirements are met;
in summary, the step S2 of converting the electricity consumption time period of the electricity demand side into the electric load gante chart has the advantages of visual representation, comprehensive display, time axis sequencing, providing height information, customizable expansion and the like; such conversion makes the electrical data more intuitive, easy to understand and analyze, providing an important tool for subsequent load assessment and system optimization.
S3, extracting start and stop time stamps of each task bar in the electric power load Gantt chart, obtaining 2n time stamps, and sequencing the 2n time stamps according to time sequence to obtain a power utilization time axis of a demand side;
The purpose of the step S3 is to acquire the time period information of the electricity consumption of the electricity demand side so as to calculate a load time window and analyze the total load stage; the method specifically comprises the following steps:
s31, traversing each task bar in the electric load Gantt chart;
s32, extracting start and stop time stamps of each task bar; the timestamp may be a specific date and time, or a relative time (e.g., minutes relative to some reference time);
s33, organizing start and stop time stamps into a list containing 2n time stamps, wherein n is the number of task bars in the electric load Gantt chart; assuming that the task bar indexes from 1 to n, the order of the timestamps in the list may be arranged as follows: [ start timestamp 1, end timestamp 1, start timestamp 2, end timestamp 2,..start timestamp n, end timestamp n ];
s34, sorting the timestamp list according to the time sequence to obtain a power utilization time axis of the demand side arranged in the time sequence; ensuring that the earlier time stamp is in front of the list and the later time stamp is in back of the list, the time stamps including a start time stamp and an end time stamp in step S34; examples of the demand side electricity consumption time axis are: start timestamp 2, start timestamp 1, end timestamp 2, start timestamp 1,..start timestamp n-1, end timestamp n-2].
The S3 step can provide an accurate electricity utilization time shaft at the demand side by extracting the start and stop time stamps of each task bar in the electric load Gantt chart and sequencing the task bars in time sequence; the time axis shows the starting and ending conditions of electricity consumption of the demand side under the same power supply node, and provides an accurate time range for the calculation of a subsequent load time window and the analysis of the total load stage;
in step S34, the timestamp list is ordered in time order, ensuring that the earlier timestamp is in front of the list and the later timestamp is in back of the list; such a sequencing approach facilitates visualization and subsequent computation of the demand side electricity consumption timeline, making the timeline information more orderly and easy to understand.
S4, taking a time period between two adjacent time stamps in the electricity utilization time axis at the demand side as a load time window to obtain a plurality of load time windows;
in step S4, a load time window is calculated, two adjacent time stamps need to be found, and the time period between them is defined as a load time window; calculating the time periods corresponding to all adjacent time stamps to obtain a plurality of load time windows; the following is an example to illustrate how the load time window is calculated:
The demand side electricity consumption time axis is assumed to be as follows:
[t 1 , t 2 , t 3 , t 4 , t 5 , t 6 , t 7 ]；
from the adjacent time stamps, the following time periods can be calculated as load time windows:
load time window 1: [ t ] 1 , t 2 ]；
Load time window 2: [ t ] 2 , t 3 ]；
Load time window 3: [ t ] 3 , t 4 ]；
Load time window 4: [ t ] 4 , t 5 ]；
Load time window 5: [ t ] 5 , t 6 ]；
Load time window 6: [ t ] 6 , t 7 ]；
Through the calculation, a plurality of load time windows are obtained, and each load time window corresponds to a time period between adjacent time stamps in the electricity utilization time shaft at the demand side; the power load can be divided on a time axis by calculating a load time window, so that the load conditions of different time periods can be better understood and evaluated; this step provides the basis for the subsequent calculation of the total amount of load phases.
S5, calculating the total load stage amount of each load time window, and obtaining a power load set composed of a plurality of total load stage amounts, wherein each total load stage amount in the power load set corresponds to a unique load time window;
in step S5 in the power load evaluation method, calculating the total amount of load phases per load time window is a key step in evaluating the power load. This step is intended to determine the power demand within each time window for subsequent analysis and decision making. Specifically, the process of executing S5 is as follows:
S51, for each load time window:
s511, determining the electricity consumption time period of the electricity demand side in the time window according to the start-stop time stamp of the load time window.
And S512, traversing all power demand side power utilization time periods in the time window, and accumulating the power load values of the power demand side power utilization time periods to obtain the total load stage quantity.
S52, repeating the step S51, and calculating the corresponding total load stage amount for each load time window.
S53, combining the total load phases of all load time windows into a set, wherein the set is the required power load set. Each load phase total corresponds to a unique load time window in the set.
It should be noted that in practical applications, missing or incomplete data may be encountered; these situations need to be handled when calculating the total amount of load phase; one common approach is to use interpolation techniques to fill in missing data points, making the calculation of the total amount of load phases within the load time window more accurate; since the power load may have noise or sudden fluctuations, it may be considered to smooth the data before calculating the total amount of load phase, for example, by applying a filtering technique or a moving average method, to reduce the influence of noise, making the load evaluation more stable and reliable.
In the step, the power demand in each time window can be accurately determined by performing accumulated calculation on the power demand side power consumption time period in each load time window; thus, accurate assessment of the power load can be obtained, and understanding of the load change and demand pattern of the power system is facilitated; by calculating the total load phase amount of each load time window and combining it into a power load set, complex power load data can be converted into one set, making it easier to understand, analyze and visualize; this helps the decision maker to quickly obtain critical power load information, providing support for making reasonable schemes and decisions.
S6, obtaining rated power of a power supply node for providing power for all power demand sides;
step S6 involves obtaining the rated power of a power supply node providing power to the power demand side; the power supply node refers to a certain point or equipment in the power system and is responsible for transmitting power to a demand side; rated power is a rated value of electric power which can be stably transmitted by the power supply node; in order to realize the step S6, the method specifically comprises the following steps:
s61, system scheduling data acquisition: acquiring relevant system scheduling data from a scheduling center or a relevant operation data center of the power system; such data includes information about the power supply node, such as name, location, power rating, etc.;
S62, building a power system model: constructing a model of the power system according to the system scheduling data; the model can be a network model based on physical parameters and topological structures, and describes the connection relation, attribute and load distribution condition of each power supply node in the power system;
s63, obtaining rated power of the node: extracting information of a needed power supply node from a power system model, wherein the information comprises rated power of the node; the rated power is usually expressed in megawatts, and represents the upper limit of the power which can be stably transmitted by the node;
s64, data verification and updating: verifying the obtained rated power of the node, and ensuring the accuracy and the integrity of the node; if inconsistent or erroneous data exists, correction and updating are needed;
s65, data integration and storage: integrating the obtained rated power data of the nodes into a power load evaluation system or a database for subsequent evaluation and analysis;
s66, exception handling and updating: regularly monitoring and maintaining rated power data of the power supply node, and timely processing possible abnormal conditions or changes and updating the abnormal conditions or changes;
when the step S6 is carried out, the rated power of the power supply node needs to be ensured to be accurately acquired; this may be accomplished through communication and coordination with a power system dispatch center or a related data center; meanwhile, for the nodes used for a long time, the accuracy and the reliability of rated power data can be ensured through regular detection and maintenance.
S7, performing traversal comparison on rated power of the power supply node and total load phases in the power load set, and extracting a load time window with total load phases exceeding the rated power of the power supply node and a load shortage corresponding to the load time window;
in step S7 of the power load evaluation method, a comparison between the rated power of the power supply node and the total load phase in the power load set is involved, and a load time window and a corresponding load shortage amount, in which the total load phase exceeds the rated power of the power supply node, are extracted; the technical scheme of the step is described in detail below;
s71, determining rated power of a power supply node: in step S6, the rated power of the power supply node that supplies power to the power demand side needs to be obtained; the power supply node refers to a node which uniformly provides power transmission for a demand side, so that in practical application, there is usually only one power supply node; the rated power of the power supply node refers to the power which can be stably supplied by the node;
s72, calculating the total load stage: in step S5, according to the load time window, all the power loads are counted in stages; each load time window represents a period of electricity utilization time, and the total load phase amount represents the total electricity utilization amount of the electricity demand side in the time window;
S73, comparing rated power of the power supply node with the total load phase amount: comparing the rated power of the power supply node with the total load stage amount corresponding to each load time window; if the total load phase amount of a certain load time window exceeds the rated power of the power supply node, namely, the power consumption of the power demand side exceeds the power supply capability of the power supply node in the time window;
s74, extracting load shortage: for load time windows in which the total load phase amount exceeds the rated power of the power supply node, the load shortage amount can be calculated by subtracting the rated power of the power supply node from the total load phase amount; the load shortage represents the extra power supply needed by the power demand side in the time window, and cannot be satisfied by the power supply node;
in the step, the rated power of the power supply node is compared with the total load stage, so that whether the load exceeds the rated power of the power supply node in each load time window can be accurately judged; this provides a method of accurately assessing a starved condition, helping to find problems with insufficient power supply; the method not only can judge the condition that the load exceeds the rated power of the power supply node, but also can extract an exceeding load time window; this provides critical time window information for further analysis and handling of load problems, helping to optimize power scheduling and planning power supply strategies; by subtracting the rated power of the power supply node from the total load stage, the load shortage, i.e. the extra required power supply, can be obtained; the quantitative quantification is helpful for accurately analyzing the degree and the influence range of the lack of load, and provides a basis for formulating remedial measures and adjusting power supply strategies; the method takes rated power of a power supply node as a reference standard, and carries out comparative analysis on load and power supply capacity; in this way, the stability and reliability of the power supply node can be better evaluated, which is helpful for optimizing the design of the power system and improving the sustainability of the power supply.
And S8, formulating power supply guarantee measures according to the load time window of the lack of the power load and the lack of the load.
In step S8, according to the load time window of the power load shortage and the load shortage, the power supply safeguard measure is formulated, and the following technical scheme may be adopted:
a. the power generation capacity increases: for the situation that the load shortage is large in the load time window, the power generation capacity can be considered to be increased to meet the requirement; this can be achieved by increasing the installed capacity of a conventional power plant, building a new power plant, or introducing renewable energy power generation facilities (e.g., wind power, solar energy, etc.);
b. load scheduling: aiming at the condition of smaller load shortage in a load time window, the supply-demand relationship can be balanced through load scheduling; the load scheduling may include a power system manager managing and regulating the load on the user demand side to ensure stability and reliability of power supply;
c. energy reserve: in order to compensate for short-term load starvation, the introduction of energy reserve technology may be considered; for example, building energy storage facilities such as battery energy storage systems, storing excess power, and releasing during peak load periods to balance the difference between supply and demand;
d. Energy internet optimization: the energy Internet is established to realize multi-energy complementation and energy adjustment, so that the stability and reliability of the power system can be improved; the energy internet integrates different types of energy resources, and performs energy interaction and scheduling among different areas so as to optimize the utilization and supply of energy;
e. energy management and intelligent control: the advanced energy management system and the intelligent control technology are utilized to carry out fine management and control on the load; and the power supply strategy and the load distribution are adjusted by monitoring and predicting the load demand in real time so as to improve the efficiency and the reliability of the power system to the greatest extent.
Selecting proper power supply guarantee measures according to specific situations and requirements; and the reasonable power supply guarantee scheme is formulated by comprehensively considering the factors such as feasibility, cost effectiveness, sustainability and the like of the power system so as to ensure that the power system can meet the requirements of users and ensure the stable operation of the power system.
Example two
As shown in fig. 4, the power load evaluation system of the present invention specifically includes the following modules;
the load prediction module is used for acquiring historical load data of the demand side, predicting power consumption information of the power demand side on the date to be evaluated according to the historical load data, and sending the power consumption information; the power demand side power consumption comprises power consumption time periods and corresponding power loads, wherein the power consumption time periods refer to time periods when the power consumption load of the demand side exceeds a preset threshold value;
The Gantt chart generation module is used for receiving electricity consumption at the electricity demand side and converting all electricity consumption time periods at the electricity demand side into an electric load Gantt chart; the horizontal axis of the power load Gantt chart represents a time axis, and the vertical axis is composed of all power demand sides; the task bar in the electric load Gantt chart represents an electricity utilization time period of the electricity demand side, and the task bar is identified as an electric load corresponding to the electricity utilization time period;
the time axis generation module is used for reading the electric power load Gantt chart, extracting the start and stop time stamp of each task bar in the electric power load Gantt chart, wherein the start and stop time stamp comprises a start time stamp and a stop time stamp, sequencing a plurality of time stamps according to time sequence, generating a power utilization time axis of a demand side and transmitting the power utilization time axis;
the load time window dividing module is used for receiving the power utilization time axis of the demand side, taking the time period between two adjacent time stamps in the power utilization time axis of the demand side as a load time window, generating a plurality of load time windows and transmitting the load time windows;
the data processing module is used for receiving a plurality of load time windows, calculating the total load stage quantity of each load time window, obtaining an electric load set consisting of a plurality of load stage quantities and transmitting the electric load set; wherein, the total amount of each load stage corresponds to a unique load time window;
The load shortage analysis module is used for acquiring rated power of the power supply node, receiving the power load set, comparing the rated power of the power supply node with the total load stage amount in the power load set one by one, judging whether the rated power is exceeded or not, and extracting a load time window and a corresponding load shortage amount when the total load stage amount exceeds the rated power of the power supply node; the load shortage is the difference between the total load stage and rated power exceeding the rated power;
and the power supply guarantee measure making module is used for reading the load time window exceeding the rated power of the power supply node and the corresponding load shortage and shortage, generating power supply guarantee measures according to the load time window and the load shortage and shortage of the load shortage and outputting the power supply guarantee measures.
In the embodiment, a load prediction module is adopted in the system, and the power demand side power consumption information of the date to be evaluated is accurately predicted based on historical load data; in this way, the system can better know the change trend and characteristics of the power load, and help the power operators and planners to make accurate decisions;
the system converts the electricity utilization time period of the electricity demand side into an electricity load Gantt chart through a Gantt chart generation module, so that the load distribution condition on a time axis is clearly shown; the visualization mode is convenient for a user to understand the load change, and can quickly identify the load peaks and valleys;
The system uses a time axis generation module to extract start and stop time stamps of each task bar in the electric power load Gantt chart, and generates a power utilization time axis at the demand side according to time sequence; then, dividing the electricity utilization time shaft at the demand side into a plurality of load time windows through a load time window dividing module; such partitioning facilitates more accurate analysis and processing of load data;
the system uses a data processing module to calculate the load stage of each load time window to obtain a power load set; the data processing mode effectively reduces redundant calculation and improves the processing efficiency; meanwhile, the load lack analysis module can judge whether the power supply exceeds the rated power according to the comparison of the rated power of the power supply node and the total load stage, so that the load lack condition is accurately analyzed;
the system uses a power supply safeguard measure making module, can automatically read a load time window exceeding rated power and corresponding load shortage and shortage thereof, and generates power supply safeguard measures according to the information; the automatic process can help operators and planners to quickly respond to the condition of lack of load, and take necessary countermeasures to ensure the stable operation of the power system;
In summary, the power load evaluation system can improve the accuracy, efficiency and automation degree of power load evaluation through the modules of accurately predicting the load, displaying high-efficiency information, generating a time axis, dividing a time window, processing and analyzing data, formulating automatic power supply guarantee measures and the like, so that the load problem in the power system is better solved.
The various modifications and embodiments of the power load evaluation method in the first embodiment are equally applicable to the power load evaluation system of the present embodiment, and those skilled in the art will be aware of the implementation method of the power load evaluation system of the present embodiment through the foregoing detailed description of the power load evaluation method, so that the details thereof will not be described in detail herein for brevity.
In addition, the application also provides an electronic device, which comprises a bus, a transceiver, a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the transceiver, the memory and the processor are respectively connected through the bus, and when the computer program is executed by the processor, the processes of the method embodiment for controlling output data are realized, and the same technical effects can be achieved, so that repetition is avoided and redundant description is omitted.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that modifications and variations can be made without departing from the technical principles of the present invention, and these modifications and variations should also be regarded as the scope of the invention.
Claims (10)
1. A method of power load assessment, the method comprising:
acquiring all power consumption information of a power demand side on a future evaluation date according to historical load analysis, wherein the power consumption information of the power demand side comprises power consumption time periods of the power demand side in the evaluation date and power loads corresponding to each power consumption time period, and the power consumption time periods refer to time periods when the power consumption load of the power demand side exceeds a preset threshold value;
converting n electricity utilization time periods of all power demand sides into an electric load Gantt chart, wherein the electric load Gantt chart is provided with n task bars, the transverse direction is a time axis in the electric load Gantt chart, the longitudinal direction is composed of all power demand sides, the task bars in the electric load Gantt chart are the electricity utilization time periods of the power demand sides, and the task bars are identified as electric loads corresponding to the electricity utilization time periods;
Extracting start and stop time stamps of each task bar in the electric load Gantt chart to obtain 2n time stamps; sequencing the 2n time stamps according to the time sequence to obtain a power utilization time axis of the demand side;
taking a time period between two adjacent time stamps in the electricity utilization time axis at the demand side as a load time window to obtain a plurality of load time windows;
calculating the total load stage amount of each load time window to obtain a power load set consisting of a plurality of total load stage amounts, wherein each total load stage amount in the power load set corresponds to a unique load time window;
acquiring rated power of a power supply node for providing power for all power demand sides;
performing traversal comparison on rated power of the power supply node and total load stages in the power load set, and extracting a load time window with total load stages exceeding the rated power of the power supply node and a load shortage corresponding to the load time window;
and formulating power supply guarantee measures according to the load time window of the lack of the power load and the lack of the load.
2. The power load evaluation method according to claim 1, wherein the power load gante map conversion method includes:
Determining the range of a transverse axis of a task bar of the electric load Gantt chart, and determining the length of the task bar on each electric power demand side according to the start and stop time stamps of the electric power utilization time period;
determining the range of a vertical axis of a task bar of the power load Gantt chart, and determining the height of the task bar according to the power load value in the power utilization time period of each power demand side;
arranging task bars on all power demand sides in a power load Gantt chart according to a time sequence; the power usage periods on the same power demand side will be represented with different task bars within the same row in the power load sweet-spot diagram.
3. The power load evaluation method according to claim 1, wherein the acquisition method of the demand side electricity consumption time axis includes:
traversing n task bars in the electric load Gantt chart;
extracting starting time stamps and ending time stamps of the task bars for n task bars;
organizing the start time stamp and the end time stamp into a list of 2n time stamps;
and according to the principle that the earlier time stamp is in front and the later time stamp is in back, sequencing 2n time stamps in the time stamp list according to the time sequence, and obtaining the electricity utilization time axis of the demand side.
4. A power load assessment method according to claim 3, wherein said demand side electricity consumption time axis is represented as follows:
[t 1 , t 2 , t 3 , t 4 ,…, t i , …, t 2n ]；
wherein t is i Representing the start time stamp or the end time stamp of the task bar.
5. The power load evaluation method according to claim 1, wherein the power load set acquisition method includes:
for each load time window, determining the electricity consumption time period of the electricity demand side in the load time window according to the start-stop time stamp of the load time window;
traversing all power consumption time periods of the power demand side in the load time window, and accumulating power load values of all power demand sides to obtain the total load stage quantity;
calculating a corresponding total load phase for each load time window;
the total amount of load phases of all load time windows is assembled into an electrical load set.
6. The power load evaluation method according to claim 1, wherein the power supply safeguard measure includes:
the power generation capacity is increased to meet the power consumption requirement of the requirement side;
the load on the demand side is managed, regulated and controlled to balance the supply-demand relationship;
introducing an energy storage facility to make up for short-term load shortage;
And an energy Internet is established to realize multi-energy complementation and energy regulation.
7. The power load evaluation method according to claim 1, wherein the method of acquiring all power demand side power consumption information of a date to be evaluated in the future comprises:
collecting historical electricity utilization data, including electricity utilization time and corresponding power load information;
processing the collected historical electricity consumption data, including data cleaning, abnormal value removal and vacant data removal;
extracting a power utilization time period exceeding the threshold according to the set threshold;
recording and storing the start-stop time and the corresponding power load information of each power utilization time period;
and according to the set evaluation date, extracting the electricity consumption time period and the corresponding load data related to the evaluation date from the historical electricity consumption data.
8. An electrical load assessment system, the system comprising:
the load prediction module is used for acquiring historical load data of the demand side, predicting power consumption information of the power demand side on the date to be evaluated according to the historical load data, and sending the power consumption information; the power demand side power consumption includes respective power consumption time periods and corresponding power loads;
the Gantt chart generation module is used for receiving electricity consumption at the electricity demand side and converting all electricity consumption time periods at the electricity demand side into an electric load Gantt chart; the horizontal axis of the power load Gantt chart represents a time axis, and the vertical axis is composed of all power demand sides; the task bar in the electric load Gantt chart represents an electricity utilization time period of the electricity demand side, and the task bar is identified as an electric load corresponding to the electricity utilization time period;
The time axis generation module is used for reading the electric power load Gantt chart, extracting the start and stop time stamp of each task bar in the electric power load Gantt chart, wherein the start and stop time stamp comprises a start time stamp and a stop time stamp, sequencing a plurality of time stamps according to time sequence, generating a power utilization time axis of a demand side and transmitting the power utilization time axis;
the load time window dividing module is used for receiving the power utilization time axis of the demand side, taking the time period between two adjacent time stamps in the power utilization time axis of the demand side as a load time window, generating a plurality of load time windows and transmitting the load time windows;
the data processing module is used for receiving a plurality of load time windows, calculating the total load stage quantity of each load time window, obtaining an electric load set consisting of a plurality of load stage quantities and transmitting the electric load set; wherein, the total amount of each load stage corresponds to a unique load time window;
the load shortage analysis module is used for acquiring rated power of the power supply node, receiving the power load set, comparing the rated power of the power supply node with the total load stage amount in the power load set one by one, judging whether the rated power is exceeded or not, and extracting a load time window and a corresponding load shortage amount when the total load stage amount exceeds the rated power of the power supply node; the load shortage is the difference between the total load stage and rated power exceeding the rated power;
And the power supply guarantee measure making module is used for reading the load time window exceeding the rated power of the power supply node and the corresponding load shortage and shortage, generating power supply guarantee measures according to the load time window and the load shortage and shortage of the load shortage and outputting the power supply guarantee measures.
9. A power load assessment device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and operable on the processor, the transceiver, the memory and the processor being connected by the bus, characterized in that the computer program when executed by the processor implements the steps of the method according to any of claims 1-7.
10. A power load assessment storage medium having stored thereon a computer program, which when executed by a processor performs the steps in the method according to any of claims 1-7.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1015786A (en) * | 1996-06-28 | 1998-01-20 | Nec Corp | Production planning simulation apparatus |
| JP2004046308A (en) * | 2002-07-09 | 2004-02-12 | Kobe Steel Ltd | Process load control device and method, and program |
| JP2004164388A (en) * | 2002-11-14 | 2004-06-10 | Yokogawa Electric Corp | Demand forecast system |
| EP2458542A1 (en) * | 2010-11-25 | 2012-05-30 | Hitachi, Ltd. | Environment load decision system and environmental load data management device |
| JP2012230461A (en) * | 2011-04-25 | 2012-11-22 | Toshiba Mitsubishi-Electric Industrial System Corp | Scheduling device and scheduling method |
| US20150160020A1 (en) * | 2012-06-29 | 2015-06-11 | Tomtom International B.V. | Methods and systems generating driver workload data |
| CN105787606A (en) * | 2016-03-24 | 2016-07-20 | 国网辽宁省电力有限公司电力科学研究院 | Power dispatching online trend early warning system based on ultra short term load prediction |
| WO2020125716A1 (en) * | 2018-12-21 | 2020-06-25 | 中兴通讯股份有限公司 | Method for realizing network optimization and related device |
| KR102238021B1 (en) * | 2020-05-29 | 2021-04-09 | 엘에스일렉트릭(주) | Process scheduling device considering demand response and operating method for the same |
| CN113822547A (en) * | 2021-09-02 | 2021-12-21 | 国网河南省电力公司电力科学研究院 | Refined demand side management comprehensive information platform system and management method |
| US11532943B1 (en) * | 2019-10-27 | 2022-12-20 | Thomas Zauli | Energy storage device manger, management system, and methods of use |
-
2023
- 2023-09-22 CN CN202311231142.4A patent/CN116979529B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1015786A (en) * | 1996-06-28 | 1998-01-20 | Nec Corp | Production planning simulation apparatus |
| JP2004046308A (en) * | 2002-07-09 | 2004-02-12 | Kobe Steel Ltd | Process load control device and method, and program |
| JP2004164388A (en) * | 2002-11-14 | 2004-06-10 | Yokogawa Electric Corp | Demand forecast system |
| EP2458542A1 (en) * | 2010-11-25 | 2012-05-30 | Hitachi, Ltd. | Environment load decision system and environmental load data management device |
| JP2012230461A (en) * | 2011-04-25 | 2012-11-22 | Toshiba Mitsubishi-Electric Industrial System Corp | Scheduling device and scheduling method |
| US20150160020A1 (en) * | 2012-06-29 | 2015-06-11 | Tomtom International B.V. | Methods and systems generating driver workload data |
| CN105787606A (en) * | 2016-03-24 | 2016-07-20 | 国网辽宁省电力有限公司电力科学研究院 | Power dispatching online trend early warning system based on ultra short term load prediction |
| WO2020125716A1 (en) * | 2018-12-21 | 2020-06-25 | 中兴通讯股份有限公司 | Method for realizing network optimization and related device |
| US11532943B1 (en) * | 2019-10-27 | 2022-12-20 | Thomas Zauli | Energy storage device manger, management system, and methods of use |
| KR102238021B1 (en) * | 2020-05-29 | 2021-04-09 | 엘에스일렉트릭(주) | Process scheduling device considering demand response and operating method for the same |
| CN113822547A (en) * | 2021-09-02 | 2021-12-21 | 国网河南省电力公司电力科学研究院 | Refined demand side management comprehensive information platform system and management method |
Non-Patent Citations (1)
| Title |
|---|
| 刘建军;陈庆新;毛宁;: "基于滚动调度的模具热处理车间负荷控制算法", 机械工程学报, no. 20, pages 125 - 133 * |
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