A new power distribution method for intelligent energy storage station

Through the power distribution method of the intelligent energy storage station, the power transmission and regional merger between the high-power electricity consumption area and the low-power electricity consumption area is realized through the power distribution method of the intelligent energy storage station, and the power distribution effect of the energy storage station is improved.

CN119448357BActive Publication Date: 2025-05-23XIAN ANKEXUN DIGITAL ENERGY TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510032259.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-09
Publication Date
2025-05-23
Estimated Expiration
2045-01-09

AI Technical Summary

Technical Problem

The existing energy storage stations will cause large loss of electric power during power distribution, reducing the effect of power distribution of energy storage stations.

Method used

A new power distribution method for intelligent energy storage stations is proposed. By obtaining the electrical power data and line transmission distances in different regions in the industrial production cluster, the production power coordination and merger between any two regions are calculated, and the power transmission and merger between high-power power areas and low-power areas are realized.

Benefits of technology

It reduces the waste of electric power loss, improves the power distribution effect of energy storage stations, and ensures the stable and reliable operation of energy storage stations.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to the field of power distribution of energy storage stations, and specifically to a power distribution method for a new type of intelligent energy storage station. The method first obtains the electric power of different areas of the industrial production cluster at each moment, as well as the line transmission distance between the areas and the line transmission distance between the energy storage station and each area, and obtains the production power coordination between the areas according to the electric power difference and line transmission distance at the same moment between the areas, divides the peak power consumption period of each area, and simultaneously screens out high-power power consumption areas and low-power power consumption areas, analyzes the line transmission distance between the high-power power consumption area and the low-power power consumption area, the length of the overlap of the peak power consumption period, the electric power difference and the production power coordination, obtains the possibility of merger, and distributes the electric power between the high-power power consumption area and the low-power power consumption area. The present invention can reduce the waste of electric power loss in energy storage stations and improve the effect of power distribution in energy storage stations.
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Description

Technical Field

[0001] The present invention relates to the field of power distribution of energy storage stations, and in particular to a power distribution method of a novel intelligent energy storage station. Background Art

[0002] Smart energy storage stations play a vital role in modern power systems. In the process of energy storage stations exporting electricity to power-consuming areas, their reasonable distribution of electric power can ensure the stable and reliable operation of the energy storage stations. Especially in scenarios with large fluctuations in renewable energy power generation and demand, the power distribution of energy storage stations is a key link to ensure their efficient operation, extend their service life and ensure the stability of the power system.

[0003] In the related art, energy storage stations are usually used to distribute electric power to each area in equal proportion according to the electricity demand of each area. However, since there are certain connections between the various areas, in the process of electric power distribution of existing energy storage stations, each area is usually regarded as an independent area, thereby ignoring the connection between the various areas. As a result, the existing energy storage stations will cause a large loss of electric power when distributing power, reducing the power distribution effect of the energy storage station. Summary of the invention

[0004] In order to solve the technical problem that the existing energy storage station will cause large loss and waste of electric power during power distribution, and reduce the effect of power distribution of the energy storage station, the purpose of the present invention is to provide a new power distribution method for intelligent energy storage station, and the technical solution adopted is as follows:

[0005] The present invention proposes a novel power distribution method for an intelligent energy storage station, the method comprising:

[0006] Obtain the electric power data of different areas in the industrial production cluster at each moment within a preset time period, and at the same time obtain the line transmission distance between two areas and the line transmission distance between the energy storage station and each area;

[0007] According to the difference of the electric power data at the same time between any two areas and the line transmission distance between any two areas, the production power consumption coordination degree between any two areas is obtained; any area is taken as the target area, and multiple peak power consumption periods of the target area are obtained according to the difference between the electric power data of the target area at each time and the overall level of the electric power data of the target area at all times; according to the difference between the overall level of the electric power data of each area at all times and the overall level of the electric power data of all areas at all times, high-power power consumption areas and low-power power consumption areas are screened out from all areas;

[0008] Taking any high-power electricity consumption area as the target high-power area, taking any low-power electricity consumption area as the target low-power area, and obtaining the first degree of merger between the target high-power area and the target low-power area according to the difference between the line transmission distance between the energy storage station and the target low-power area and the line transmission distance between the target high-power area and the target low-power area; obtaining the second degree of merger between the target high-power area and the target low-power area according to the length of the peak power consumption period that overlaps between the target high-power area and the target low-power area; obtaining the third degree of merger between the target high-power area and the target low-power area according to the power data of the peak power consumption period of the target high-power area and the power data of the non-peak power consumption period, as well as the power data of the peak power consumption period of the target low-power area; comprehensively considering the first degree of merger, the second degree of merger, the third degree of merger and the production power coordination degree between the target high-power area and the target low-power area, obtaining the possibility of merger between the target high-power area and the target low-power area;

[0009] Based on the merging possibility, electric power is distributed between the high-power consumption areas and the low-power consumption areas.

[0010] Furthermore, obtaining the production power coordination degree between any two regions includes:

[0011] Two randomly selected areas are respectively used as a first area to be tested and a second area to be tested;

[0012] Taking the absolute value of the difference between the electric power data of the first area to be tested and the second area to be tested at the same time as the electric power difference between the first area to be tested and the second area to be tested at each time;

[0013] Performing negative correlation mapping on the accumulated values ​​of the electric power difference between the first area to be tested and the second area to be tested at all times to obtain a first coordination degree between the first area to be tested and the second area to be tested;

[0014] Performing negative correlation mapping on the line transmission distance between the first area to be tested and the second area to be tested to obtain a second coordination degree between the first area to be tested and the second area to be tested;

[0015] The first coordination degree and the second coordination degree are integrated and normalized to obtain the production power coordination degree between the first area to be tested and the second area to be tested.

[0016] Furthermore, the obtaining of multiple peak power consumption periods of the target area includes:

[0017] Taking the average value of the electric power data of the target area at all times as the first overall electric power of the target area;

[0018] In the target area, the time when the electric power data is greater than the first overall electric power is taken as the peak power consumption time of the target area;

[0019] The time period formed by the continuous peak power consumption moments in the target area is taken as the peak power consumption time period of the target area.

[0020] Further, screening out high power consumption areas and low power consumption areas from all areas includes:

[0021] The average value of the first overall electric power of all regions is used as the second overall electric power of the industrial production cluster;

[0022] An area where the first overall electric power is greater than the second overall electric power is regarded as a high-power electricity consumption area, and an area where the first overall electric power is less than or equal to the second overall electric power is regarded as a low-power electricity consumption area.

[0023] Further, obtaining a first degree of merging between the target high-power region and the target low-power region includes:

[0024] The difference between the line transmission distance between the energy storage station and the target low-power area and the line transmission distance between the target high-power area and the target low-power area is normalized to obtain a first degree of merging between the target high-power area and the target low-power area.

[0025] Further, obtaining a second degree of merging between the target high-power region and the target low-power region includes:

[0026] The overlapping periods between the peak power consumption periods of the target high-power area and the peak power consumption periods of the target low-power area are used as the overlapping peak power consumption periods between the target high-power area and the target low-power area;

[0027] The sum of the lengths of all overlapping peak power consumption periods between the target high-power area and the target low-power area is used as the numerator, the length of the preset time period is used as the denominator, and the ratio is negatively correlated to obtain the second degree of merging between the target high-power area and the target low-power area.

[0028] Further, obtaining a third degree of merging between the target high-power region and the target low-power region includes:

[0029] The sum of the maximum value of all the electric power data in the non-peak power consumption period of the target high-power area and the maximum value of all the electric power data in the peak power consumption period of the target low-power area is used as the electric power judgment value;

[0030] The difference between the maximum value of all the electric power data and the electric power judgment value in the peak power consumption period of the target high power area is normalized as the third merging degree between the target high power area and the target low power area.

[0031] Further, obtaining the possibility of merging the target high-power area and the target low-power area includes:

[0032] The product value of the first merger degree, the second merger degree, the third merger degree and the production electricity coordination degree between the target high-power area and the target low-power area is normalized to obtain the merger possibility between the target high-power area and the target low-power area.

[0033] Furthermore, the allocating electric power between each high-power power consumption area and each low-power power consumption area includes:

[0034] The high-power electricity consumption area corresponding to the maximum value of the merging possibility of the target low-power area is used as the power supply area of ​​the target low-power area;

[0035] If the possibility of the merger between the target low-power area and the power supply area of ​​the target low-power area is greater than a preset possibility threshold, electric power is transmitted from the power supply area of ​​the target low-power area to the target low-power area; otherwise, electric power is transmitted from the energy storage station to the target low-power area.

[0036] Furthermore, the value range of the preset possibility threshold is .

[0037] The present invention has the following beneficial effects:

[0038] The present invention takes into account that existing energy storage stations may cause large power loss and waste during power distribution, thereby reducing the power distribution effect of the energy storage station. Therefore, the power data of different areas in the industrial production cluster at each moment within a preset time period is first obtained, and the line transmission distance between any two areas and the line transmission distance between the energy storage station and each area are obtained. Since there is a certain correlation between the power demand of different areas in the industrial production cluster during the production process, an increase in the power demand of a certain area will lead to an increase in the power demand of another related area. Therefore, the coordination of power consumption between any two areas can be reflected through the production power coordination degree, providing a data basis for the subsequent accurate analysis of the possibility of mergers between areas. Since each area has multiple peak power consumption periods within the preset time period, it is necessary to try to avoid the overlap of peak power consumption periods between areas when distributing power between areas in the subsequent period. At the same time, the present invention is to distribute power from high-power areas to low-power areas. The power transmission is carried out in the power consumption area with the highest power rate, and the power allocation of the energy storage station is realized by means of regional merger. Therefore, the high-power power consumption area and the low-power power consumption area can be screened out from each area first. Considering that the line transmission distance between the target high-power area and the target low-power area is shorter than the line transmission distance between the energy storage station and the target low-power area, the possibility of merger between the two is greater. When the target high-power area and the target low-power area are merged, it is necessary to avoid the overlap of the peak power consumption periods of the two. At the same time, it is also necessary to prevent the impact of large power transmission on the target high-power area. Therefore, the first merger degree, the second merger degree, the third merger degree and the production power coordination degree can be integrated. The possibility of power allocation between the target high-power area and the target low-power area is reflected through the merger possibility, thereby realizing the power allocation between the high-power power consumption area and the low-power power consumption area, reducing the waste of power loss, and improving the power allocation effect of the energy storage station. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 A flow chart of a power distribution method for a novel intelligent energy storage station provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the power distribution method of a new type of intelligent energy storage station proposed by the present invention, its specific implementation method, structure, characteristics and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0042] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0043] The specific scheme of the power distribution method of a novel intelligent energy storage station provided by the present invention is described in detail below with reference to the accompanying drawings.

[0044] See also Figure 1 , which shows a flow chart of a power distribution method of a novel intelligent energy storage station provided by an embodiment of the present invention, the method comprising:

[0045] Step S1: Obtain the electric power data of different areas in the industrial production cluster at each moment within a preset time period, and simultaneously obtain the line transmission distance between any two areas and the line transmission distance between the energy storage station and each area.

[0046] Industrial production clusters are often ideal locations for energy storage stations due to their large electricity consumption and high demand for stable power supply. Industrial production clusters usually include multiple areas for different production purposes and production processes, and energy storage stations are responsible for exporting electricity to these areas.

[0047] Since energy storage stations are usually installed with various types of sensors, monitoring equipment and data recording and analysis systems, which can detect the electric power output by the energy storage station to different areas in the industrial production cluster, the embodiment of the present invention first obtains the electric power data output by the energy storage station to different areas in the industrial production cluster at each moment within a preset time period, wherein the preset time period is set to 1 day, and the time interval for collecting electric power data is set to 1 second. The specific values ​​of the preset time period and the time interval for collecting electric power data can also be set by the implementer according to the specific implementation scenario, which is not limited here.

[0048] At the same time, the energy storage station needs to transmit electricity to each area of ​​the industrial production cluster, and the various areas of the industrial production cluster usually transmit electricity to each other. Therefore, the embodiment of the present invention also needs to obtain the line transmission distance between any two areas and the line transmission distance between the energy storage station and each area. Subsequently, the electric power output by the energy storage station to each area can be reasonably allocated in combination with the electric power data and the line transmission distance.

[0049] Step S2: Based on the difference in electric power data at the same time between any two areas and the line transmission distance between any two areas, obtain the production power coordination degree between any two areas; take any area as the target area, and obtain multiple peak power consumption periods of the target area based on the difference between the electric power data of the target area at each moment and the overall level of the electric power data of the target area at all moments; based on the difference between the overall level of electric power data of each area at all moments and the overall level of electric power data of all areas at all moments, screen out high-power power consumption areas and low-power power consumption areas from all areas.

[0050] Since the existing energy storage station usually regards each area as an independent node when allocating electric power to multiple areas, and allocates electric power according to the different power demands of each area, but since there is usually a certain connection between the multiple areas of the industrial production cluster in terms of production purpose and production process, the production activities in a certain area can lead to the production activities in other areas closely related to it, which leads to a certain connection between the power demands of different areas in the industrial production cluster in the production process. The increase in the power demand of a certain area will lead to an increase in the power demand of other areas closely related to it. That is to say, there is different degrees of synergy between the areas of the industrial production cluster in terms of production power consumption. Therefore, the embodiment of the present invention obtains the production power consumption synergy between any two areas according to the difference in power data at the same time between any two areas and the line transmission distance between any two areas. The production power consumption synergy reflects the synergy of power consumption between any two areas. The larger the production power consumption synergy, the stronger the synergy of power consumption between the two areas, and the closer the connection in production purpose and production process, which provides a data basis for the subsequent accurate analysis of the possibility of merger between areas.

[0051] Preferably, in one embodiment of the present invention, the method for obtaining the production electricity coordination degree between any two regions specifically includes:

[0052] First, any two areas are selected as the first area to be tested and the second area to be tested respectively. The smaller the difference in electric power data between the first area to be tested and the second area to be tested at the same time, the stronger the coordination of power usage between the first area to be tested and the second area to be tested, and the closer the connection between the production purpose and the production process. Therefore, the absolute value of the difference in electric power data between the first area to be tested and the second area to be tested at the same time can be used as the electric power difference between the first area to be tested and the second area to be tested at each time. The larger the electric power difference, the greater the difference in electric power data between the first area to be tested and the second area to be tested at the same time. Then, the accumulated value of the electric power difference between the first area to be tested and the second area to be tested at all times is negatively correlated and mapped to obtain the first coordination degree between the first area to be tested and the second area to be tested. The larger the first coordination degree, the stronger the coordination of power usage between the first area to be tested and the second area to be tested.

[0053] Then, since the areas with close connection between production objectives and production processes are usually concentrated and the line transmission distance between the areas is short, the line transmission distance between the first area to be tested and the second area to be tested can be negatively correlated to obtain the second coordination degree between the first area to be tested and the second area to be tested. The larger the second coordination degree, the stronger the coordination of electricity usage between the first area to be tested and the second area to be tested.

[0054] Then, the first synergy degree and the second synergy degree can be combined and normalized, and the calculation result can be limited to range, thereby obtaining the production power coordination degree between the first area to be tested and the second area to be tested.

[0055] In the embodiment of the present invention, the integration of the first coordination degree and the second coordination degree can be achieved by calculating the sum or product of the two, which is not limited here.

[0056] As an example, in one embodiment of the present invention, the expression of the production power coordination degree between the first to-be-tested area and the second to-be-tested area may be specifically, for example, as follows:

[0057]

[0058]

[0059]

[0060] in, Indicates the production power coordination degree between the first area to be tested and the second area to be tested; Indicates a first coordination degree between the first to-be-tested area and the second to-be-tested area; Indicates a second coordination degree between the first to-be-tested area and the second to-be-tested area; Represents the activation function, which is used for normalization; Indicates the first area to be tested. Electric power data at each moment; Indicates the second area to be tested. Electric power data at each moment; Indicates that the first area to be tested and the second area to be tested are The difference of electric power at each moment; Indicates the number of all moments in the preset time period; Indicated by natural constant An exponential function with base is used for negative correlation mapping; Indicates the line transmission distance between the first test area and the second test area. .

[0061] It should be noted that in other embodiments of the present invention, negative correlation mapping may be achieved through other basic mathematical operations, which will not be elaborated herein.

[0062] The same method as above can be used to obtain the production and electricity coordination degree between any two regions.

[0063] Since each region has multiple peak electricity consumption periods within a preset time period, the peak electricity consumption periods between different regions are different. In the subsequent allocation of electric power between regions, it is necessary to avoid the overlap of peak electricity consumption periods between regions as much as possible to improve the rationality of electric power allocation of energy storage stations. Therefore, any region can be taken as the target area first, and based on the difference between the electric power data of the target area at each moment and the overall level of the electric power data of the target area at all moments, multiple peak electricity consumption periods of the target area can be obtained.

[0064] Preferably, in one embodiment of the present invention, the method for acquiring multiple peak power consumption periods of the target area specifically includes:

[0065] First, the average value of the electric power data of the target area at all times is taken as the first overall electric power of the target area, and the first overall electric power reflects the overall level of the electric power data of the target area at all times.

[0066] The electric power data of the target area at each moment during the peak power consumption period is larger than the first overall electric power. Therefore, in the target area, the moment when the electric power data is greater than the first overall electric power can be used as the peak power consumption moment of the target area, and the period formed by the continuous peak power consumption moments of the target area can be used as the peak power consumption period of the target area. For example, for the time series , where the 1st, 2nd, 5th and 6th moments are peak power consumption moments, then Time period and The time period is the peak electricity consumption period.

[0067] The peak electricity consumption period in each area can be obtained by the same method as above.

[0068] Since different areas of industrial production clusters have different demands for electric power, there are high-power power consumption areas and low-power power consumption areas. In the subsequent steps of the embodiments of the present invention, it is necessary to transmit electricity from high-power power consumption areas to low-power power consumption areas, and to achieve power distribution of energy storage stations by means of regional mergers, so as to avoid excessive line load in low-power areas and short circuits caused by power transmission from low-power power consumption areas to high-power power consumption areas. Therefore, high-power power consumption areas and low-power power consumption areas can be screened out from all areas based on the difference between the overall level of electric power data of each area at all times and the overall level of electric power data of all areas at all times.

[0069] Preferably, in one embodiment of the present invention, the method for acquiring the high power consumption area and the low power consumption area specifically includes:

[0070] The average value of the first overall electric power of all regions is taken as the second overall electric power of the industrial production cluster, and the second overall electric power reflects the overall level of electric power data of all regions of the industrial production cluster at all times.

[0071] Since the overall level of electric power data in high-power electricity consumption areas is larger than the overall level of electric power data in industrial production clusters, the areas where the first overall electric power is greater than the second overall electric power can be regarded as high-power electricity consumption areas, and the areas where the first overall electric power is less than or equal to the second overall electric power can be regarded as low-power electricity consumption areas.

[0072] Step S3: Take any high-power electricity consumption area as the target high-power area, and take any low-power electricity consumption area as the target low-power area, and obtain the first merger degree between the target high-power area and the target low-power area according to the difference between the line transmission distance between the energy storage station and the target low-power area and the line transmission distance between the target high-power area and the target low-power area; obtain the second merger degree between the target high-power area and the target low-power area according to the length of the overlapping peak power consumption period between the target high-power area and the target low-power area; obtain the third merger degree between the target high-power area and the target low-power area according to the power data of the peak power consumption period and the power data of the non-peak power consumption period of the target high-power area, as well as the power data of all peak power consumption periods of the target low-power area; comprehensively consider the first merger degree, the second merger degree, the third merger degree and the production power coordination degree between the target high-power area and the target low-power area to obtain the merger possibility between the target high-power area and the target low-power area.

[0073] When power is subsequently transmitted from high-power power consumption areas to low-power power consumption areas to achieve regional mergers, different degrees of impact will be caused on high-power power consumption areas and low-power power consumption areas. That is to say, not all high-power power consumption areas can transmit power to low-power power consumption areas, and power transmission losses and power overload and shortage problems need to be considered. Therefore, the embodiment of the present invention first analyzes any high-power power consumption area and low-power power consumption area, takes any high-power power consumption area as the target high-power area, and takes any low-power power consumption area as the target low-power area. If the line transmission distance between the target high-power area and the target low-power area is relative to the energy storage station and The shorter the line transmission distance between the target low-power areas, the lower the power loss when transmitting electricity from the target high-power area to the target low-power area than when transmitting electricity directly from the energy storage station to the target low-power area. This means that the merging effect between the target high-power area and the target low-power area is better. Therefore, the first merging degree between the target high-power area and the target low-power area can be obtained according to the difference between the line transmission distance between the energy storage station and the target low-power area and the line transmission distance between the target high-power area and the target low-power area. The larger the first merging degree, the greater the possibility that the target high-power area and the target low-power area can be merged in the future.

[0074] Preferably, in one embodiment of the present invention, the method for acquiring the first degree of merger between the target high-power region and the target low-power region specifically includes:

[0075] The difference between the line transmission distance between the energy storage station and the target low-power area and the line transmission distance between the target high-power area and the target low-power area is normalized to obtain a first degree of merger between the target high-power area and the target low-power area.

[0076] As an example, in one embodiment of the present invention, the expression of the first degree of merger between the target high-power region and the target low-power region may be specifically, for example, as follows:

[0077]

[0078] in, represents a first degree of merging between the target high power region and the target low power region; Indicates the line transmission distance between the energy storage station and the target low-power area; Indicates the line transmission distance between the target high power area and the target low power area; Represents the activation function, which is used for normalization.

[0079] When the target high-power area transmits electricity to the target low-power area to realize regional merger, it is necessary to avoid the overlap of the peak power consumption periods of the two areas, so as to prevent the target high-power area from being short of power and the target low-power area from being overloaded after the regional merger, thereby reducing the power distribution effect of the energy storage station. Therefore, the second merger degree between the target high-power area and the target low-power area can be obtained according to the length of the overlapping peak power consumption period between the target high-power area and the target low-power area. The larger the second merger degree, the greater the possibility that the target high-power area and the target low-power area can be merged in the future.

[0080] Preferably, in one embodiment of the present invention, the method for acquiring the second degree of merger between the target high-power region and the target low-power region specifically includes:

[0081] First, the overlapping periods between the peak power consumption periods of the target high-power area and the peak power consumption periods of the target low-power area are taken as the overlapping peak power consumption periods between the target high-power area and the target low-power area. For example, for the time series , the peak power consumption period of the target high-power area is , the peak power consumption period of the target low-power area is , then the overlap period between the two It is the overlapping peak power consumption period between the target high power area and the target low power area.

[0082] Then, the smaller the proportion of the overlapping peak power consumption periods of the target high-power area and the target low-power area in the entire preset time period, the smaller the impact of the regional merger on the two will be. Therefore, the sum of the lengths of all overlapping peak power consumption periods between the target high-power area and the target low-power area can be used as the numerator, the length of the preset time period can be used as the denominator, and the ratio can be negatively correlated to obtain the second degree of merger between the target high-power area and the target low-power area, wherein the length of the overlapping peak power consumption period can be expressed by the number of moments in the overlapping peak power consumption period, and the length of the preset time period can be expressed by the number of moments in the preset time period.

[0083] As an example, in one embodiment of the present invention, the expression of the second degree of consolidation between the target high-power region and the target low-power region may be specifically, for example, as follows:

[0084]

[0085] in, represents a second degree of merger between the target high power region and the target low power region; represents the sum of the lengths of all overlapping peak power consumption periods between the target high power area and the target low power area; Indicates the length of the preset time period; Expressed as a natural constant An exponential function with base , used for negative correlation mapping.

[0086] It should be noted that in other embodiments of the present invention, negative correlation mapping may be achieved through other basic mathematical operations, which will not be elaborated herein.

[0087] When transmitting electric power from the target high-power area to the target low-power area, it is also necessary to prevent the impact of large power transmission on the target high-power area. Therefore, it is also necessary to obtain the third degree of merger between the target high-power area and the target low-power area based on the electric power data of the target high-power area during peak power consumption periods and the electric power data of non-peak power consumption periods, as well as the electric power data of the target low-power area during peak power consumption periods. The larger the third degree of merger, the greater the possibility that the target high-power area and the target low-power area will be able to merge in the future.

[0088] Preferably, in one embodiment of the present invention, the method for acquiring the third degree of merger between the target high-power region and the target low-power region specifically includes:

[0089] The sum of the maximum value of all electric power data in the non-peak power consumption period of the target high-power area and the maximum value of all electric power data in the peak power consumption period of the target low-power area is taken as the electric power judgment value. If the maximum value of all electric power data in the peak power consumption period of the target high-power area is larger than the electric power judgment value, it means that when the target high-power area transmits power to the target low-power area to achieve regional merger, the impact on the target high-power area is smaller. Therefore, the difference between the maximum value of all electric power data in the peak power consumption period of the target high-power area and the electric power judgment value can be normalized as the third degree of merger between the target high-power area and the target low-power area.

[0090] As an example, in one embodiment of the present invention, the expression of the third degree of merger between the target high-power region and the target low-power region may be specifically, for example, as follows:

[0091]

[0092] in, represents the third degree of merger between the target high power region and the target low power region; Indicates the maximum value of all electric power data during the peak power consumption period of the target high-power area; Indicates the maximum value of all electric power data during the peak power consumption period of the target low-power area; Indicates the maximum value of all electric power data in the non-peak period of the target high-power area; Indicates the electric power judgment value; Represents the activation function, which is used for normalization.

[0093] The greater the first, second and third merger degrees between the target high-power area and the target low-power area, the greater the possibility that the target high-power area and the target low-power area can be merged in the future. At the same time, when performing regional mergers to achieve power allocation of energy storage stations, it is also necessary to ensure that the target high-power area and the target low-power area have certain synergy and connection in production purposes and production processes. Therefore, the production power synergy between the target high-power area and the target low-power area can be combined at the same time. The possibility of merger obtained reflects the possibility that the target high-power area and the target low-power area can be merged to achieve power allocation. Subsequently, based on the merger possibility, each high-power power consumption area and each low-power power consumption area can be merged to improve the effect of power allocation of energy storage stations.

[0094] Preferably, in one embodiment of the present invention, the method for acquiring the possibility of merging the target high-power area and the target low-power area specifically includes:

[0095] The product values ​​of the first merger degree, the second merger degree, the third merger degree and the production power coordination degree between the target high-power area and the target low-power area are normalized to obtain the merger possibility between the target high-power area and the target low-power area.

[0096] In other embodiments of the present invention, the sum of the first merger degree, the second merger degree, the third merger degree and the production power coordination degree between the target high-power area and the target low-power area may also be normalized to obtain the merger possibility between the target high-power area and the target low-power area, which is not limited here.

[0097] As an example, in one embodiment of the present invention, the expression of the possibility of merging the target high-power region and the target low-power region may be specifically, for example, as follows:

[0098]

[0099] in, Indicates the possibility of merging between the target high-power region and the target low-power region; represents a first degree of merging between the target high power region and the target low power region; represents a second degree of merger between the target high power region and the target low power region; represents the third degree of merger between the target high power region and the target low power region; Indicates the degree of coordination of production power consumption between the target high-power area and the target low-power area; Represents the activation function, which is used for normalization.

[0100] The possibility of merging any high-power electricity consumption area with any low-power electricity consumption area can be obtained by the same method as above.

[0101] Step S4: Based on the possibility of merging, the electric power is distributed between the high-power consumption areas and the low-power consumption areas.

[0102] The embodiment of the present invention realizes the power distribution of the energy storage station by means of regional merging such as power transmission from the high-power power consumption area to the low-power power consumption area. The greater the possibility of merger, the greater the effect of regional merger between the high-power power consumption area and the low-power power consumption area. Therefore, based on the possibility of merger, the electric power can be distributed between each high-power power consumption area and each low-power power consumption area, thereby avoiding large power loss and waste caused by the energy storage station during power distribution, and improving the power distribution effect of the energy storage station.

[0103] Preferably, in one embodiment of the present invention, the method for allocating electric power between each high-power power consumption area and each low-power power consumption area specifically includes:

[0104] The high-power consumption area corresponding to the maximum value of the possibility of merging with the target low-power area is set as the power supply area of ​​the target low-power area.

[0105] If the possibility of merging the target low-power area and the power supply area of ​​the target low-power area is greater than the preset possibility threshold, the power supply area of ​​the target low-power area transmits electric power to the target low-power area; otherwise, the energy storage station transmits electric power to the target low-power area. The preset possibility threshold has a value range of In one embodiment of the present invention, the preset possibility threshold is set to 0.8. The specific value of the preset possibility threshold can also be set by the implementer according to the specific implementation scenario and is not limited here.

[0106] The same method as above can be used to achieve power transmission to each low-power electricity consumption area, thereby improving the power distribution effect of the energy storage station.

[0107] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0108] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A new power distribution method for an intelligent energy storage station, characterized in that: The method comprises: Obtain the electric power data of different areas in the industrial production cluster at each moment within a preset time period, and at the same time obtain the line transmission distance between two areas and the line transmission distance between the energy storage station and each area; According to the difference of the electric power data at the same time between any two areas and the line transmission distance between any two areas, the production power consumption coordination degree between any two areas is obtained; any area is taken as the target area, and multiple peak power consumption periods of the target area are obtained according to the difference between the electric power data of the target area at each time and the overall level of the electric power data of the target area at all times; according to the difference between the overall level of the electric power data of each area at all times and the overall level of the electric power data of all areas at all times, high-power power consumption areas and low-power power consumption areas are screened out from all areas; Taking any high-power electricity consumption area as the target high-power area, taking any low-power electricity consumption area as the target low-power area, and obtaining the first degree of merger between the target high-power area and the target low-power area according to the difference between the line transmission distance between the energy storage station and the target low-power area and the line transmission distance between the target high-power area and the target low-power area; obtaining the second degree of merger between the target high-power area and the target low-power area according to the length of the peak power consumption period that overlaps between the target high-power area and the target low-power area; obtaining the third degree of merger between the target high-power area and the target low-power area according to the power data of the peak power consumption period of the target high-power area and the power data of the non-peak power consumption period, as well as the power data of the peak power consumption period of the target low-power area; comprehensively considering the first degree of merger, the second degree of merger, the third degree of merger and the production power coordination degree between the target high-power area and the target low-power area, obtaining the possibility of merger between the target high-power area and the target low-power area; Based on the merging possibility, allocating electric power between each high-power electricity consumption area and each low-power electricity consumption area; The obtaining of the production power coordination degree between any two regions includes: Two randomly selected areas are respectively used as a first area to be tested and a second area to be tested; Taking the absolute value of the difference between the electric power data of the first area to be tested and the second area to be tested at the same time as the electric power difference between the first area to be tested and the second area to be tested at each time; Performing negative correlation mapping on the accumulated values ​​of the electric power difference between the first area to be tested and the second area to be tested at all times to obtain a first coordination degree between the first area to be tested and the second area to be tested; Performing negative correlation mapping on the line transmission distance between the first area to be tested and the second area to be tested to obtain a second coordination degree between the first area to be tested and the second area to be tested; The first coordination degree and the second coordination degree are integrated and normalized to obtain the production power coordination degree between the first area to be tested and the second area to be tested.

2. A power distribution method for a novel intelligent energy storage station according to claim 1, characterized in that: The obtaining of multiple peak power consumption periods in the target area includes: Taking the average value of the electric power data of the target area at all times as the first overall electric power of the target area; In the target area, the time when the electric power data is greater than the first overall electric power is taken as the peak power consumption time of the target area; The time period formed by the continuous peak power consumption moments in the target area is taken as the peak power consumption time period of the target area.

3. A power distribution method for a novel intelligent energy storage station according to claim 2, characterized in that: The step of screening out high power consumption areas and low power consumption areas from all areas includes: The average value of the first overall electric power of all regions is used as the second overall electric power of the industrial production cluster; An area where the first overall electric power is greater than the second overall electric power is regarded as a high-power electricity consumption area, and an area where the first overall electric power is less than or equal to the second overall electric power is regarded as a low-power electricity consumption area.

4. A power distribution method for a novel intelligent energy storage station according to claim 1, characterized in that: The obtaining of a first degree of merger between the target high-power region and the target low-power region comprises: The difference between the line transmission distance between the energy storage station and the target low-power area and the line transmission distance between the target high-power area and the target low-power area is normalized to obtain a first degree of merging between the target high-power area and the target low-power area.

5. The power distribution method of a novel intelligent energy storage station according to claim 1 is characterized in that: The obtaining of a second degree of merger between the target high-power region and the target low-power region comprises: The overlapping periods between the peak power consumption periods of the target high-power area and the peak power consumption periods of the target low-power area are used as the overlapping peak power consumption periods between the target high-power area and the target low-power area; The sum of the lengths of all overlapping peak power consumption periods between the target high-power area and the target low-power area is used as the numerator, the length of the preset time period is used as the denominator, and the ratio is negatively correlated to obtain the second degree of merging between the target high-power area and the target low-power area.

6. A power distribution method for a novel intelligent energy storage station according to claim 1, characterized in that: The obtaining of the third degree of merger between the target high-power region and the target low-power region comprises: The sum of the maximum value of all the electric power data in the non-peak power consumption period of the target high-power area and the maximum value of all the electric power data in the peak power consumption period of the target low-power area is used as the electric power judgment value; The difference between the maximum value of all the electric power data and the electric power judgment value in the peak power consumption period of the target high power area is normalized as the third merging degree between the target high power area and the target low power area.

7. A power distribution method for a novel intelligent energy storage station according to claim 1, characterized in that: The obtaining of the possibility of merging the target high-power region and the target low-power region comprises: The product value of the first merger degree, the second merger degree, the third merger degree and the production electricity coordination degree between the target high-power area and the target low-power area is normalized to obtain the merger possibility between the target high-power area and the target low-power area.

8. The power distribution method of a novel intelligent energy storage station according to claim 1 is characterized in that: The allocating electric power between each high-power power consumption area and each low-power power consumption area includes: The high-power electricity consumption area corresponding to the maximum value of the merging possibility of the target low-power area is used as the power supply area of ​​the target low-power area; If the possibility of the merger between the target low-power area and the power supply area of ​​the target low-power area is greater than a preset possibility threshold, electric power is transmitted from the power supply area of ​​the target low-power area to the target low-power area; otherwise, electric power is transmitted from the energy storage station to the target low-power area.

9. A power distribution method for a novel intelligent energy storage station according to claim 8, characterized in that: The value range of the preset possibility threshold is .

Citation Information

Patent Citations

  • Distributed photovoltaic dynamic cluster division method based on space-time correlation and source-load complementation

    CN115360744A

  • Electric power cooperative control system, electric power cooperative control method and electric power cooperative control program

    JP2017153265A