Distributed renewable energy power generation cluster partitioning method and system

Abstract

Disclosed are a distributed renewable energy power generation cluster partitioning method and system. The method comprises: obtaining power consumption data of a power generation cluster; extracting absorbed electric energy of a target power generation unit or consumed electric energy of a target energy consumption node within a specified period, so as to obtain an absorbed electric energy analysis value corresponding to the target power generation unit or a consumed electric energy analysis value corresponding to the target energy consumption node; and on the basis of a distance from the target power generation unit to the target energy consumption node, constructing a preliminary consumption matching group for a plurality of generators and energy consumption zones and determining a finalized consumption matching group, and performing partitioning of the power generation cluster. The invention can effectively improve the partitioning of a power generation cluster, so that the power generation cluster has a stable consumption relationship. The invention can also avoid energy waste caused by uneven partitioning and allocation of renewable energy generated by the power generation cluster, thereby improving the management efficiency of large-scale new energy units.

Description

A distributed renewable energy power generation cluster division method and system Technical Field

[0001] The present invention relates to the field of renewable energy partitioning technology, and in particular to a distributed renewable energy power generation cluster partitioning method and system. Background Art

[0002] Distributed power generation systems integrate dispersed renewable energy and small-scale power generation systems, supply user loads based on the principle of proximity and integrate into distribution networks. This is an ideal way to achieve efficient utilization of renewable energy and energy conservation and emission reduction.

[0003] Patent publication number CN109599879A discloses a distribution network active power scheduling method that takes into account the optimization of the number of charge and discharge times of energy storage equipment. It proposes to obtain the 96 prediction point threshold load curves for the next day based on the distribution network's day-ahead load forecast and photovoltaic power generation forecast. Then, according to the energy storage action requirements and the upper and lower limits of the energy storage capacity, the charging and discharging of the energy storage equipment is controlled, and the 96 prediction point energy storage adjustment amounts are allocated to the energy storage equipment in the form of power. However, this method does not take into account the power absorption capacity of the power generation cluster and the power consumption area, and there is a problem of low distributed energy utilization. The present invention provides a distributed renewable energy power generation cluster division method and system that can effectively improve the absorption capacity of distributed energy. Summary of the Invention

[0004] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed. Therefore, the present invention provides a distributed renewable energy power generation cluster division method to solve the problem of low utilization rate of distributed energy without considering power consumption capacity.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for dividing distributed renewable energy power generation clusters, comprising:

[0008] Obtain the power consumption data of the power generation cluster, including the power absorption of the target power generation unit, the power consumption of the target energy consumption node, and the distance from the target power generation unit to the target energy consumption node;

[0009] Based on the power consumption data, the power absorbed by the target power generation unit or the power consumed by the target energy consumption node within a specified period is extracted, the degree of deviation of the power absorbed by the target power generation unit or the power consumed by the target energy consumption node within the specified period is calculated, and the deviation degree is compared with the predetermined deviation threshold interval. A first set and a second set are combined according to the comparison result to obtain an analysis value of the power absorbed by the corresponding target power generation unit or an analysis value of the power consumed by the corresponding target energy consumption node;

[0010] Based on the power consumption analysis value and the power absorption analysis value, the power generation cluster is divided and analyzed. According to the distance from the target power generation unit to the target energy consumption node, a pre-built consumption matching group is constructed for multiple power generation units and energy consumption areas. The consumption relationship of the pre-built consumption matching group is analyzed based on the power consumption analysis value and the power absorption analysis value. According to the analysis results, the power generation units and energy consumption areas in the pre-built consumption matching group are reallocated, and the selected consumption matching group is determined.

[0011] The power generation clusters are divided according to the selected groups based on the consumption matching.

[0012] As a preferred solution of the distributed renewable energy power generation cluster division method of the present invention, the extraction process includes:

[0013] Divide the specified period into several standard time periods, and the length of the standard time periods is unified;

[0014] Select a target power generation unit or target energy consumption node, and obtain the power absorbed by the target power generation unit in each standard time period or the power consumed by the target energy consumption node in each standard time period;

[0015] Calculating the degree of deviation between the absorbed power and the consumed power according to the variance formula;

[0016] Compare the deviation degree with Xy1 and Xy2 in a preset deviation threshold interval [Xy1, Xy2], respectively, where Xy1>Xy2;

[0017] The intersection between the first set and the second set is statistically calculated through set operations, and all corresponding absorbed power and consumed power are obtained based on the intersection, and the average value of absorbed power or consumed power is calculated to obtain the absorbed power analysis value of the corresponding target power generation unit or the consumed power analysis value of the corresponding target energy consumption node.

[0018] As a preferred solution of the distributed renewable energy power generation cluster division method of the present invention, wherein: comparing the deviation degree with the preset deviation threshold interval includes:

[0019] The degree of deviation is compared with Xy1 of the preset deviation threshold interval;

[0020] If the deviation degree is greater than Xy1, it means that the deviation degree between the power absorption or power consumption of each standard period is large. According to the order of |Xi-Xp| from large to small, the corresponding power absorption or power consumption values ​​are deleted in sequence, and the deviation degree of the remaining power absorption or power consumption is calculated accordingly until the deviation degree is ≤Xy1;

[0021] Wherein, Xp represents the average value of the power absorbed or consumed during the standard period used to calculate the corresponding deviation degree;

[0022] Obtain all deleted power absorption or power consumption values ​​and combine them into a first set;

[0023] The degree of deviation is compared with Xy2 of a preset deviation threshold interval;

[0024] If the deviation degree is greater than Xy2, it means that the deviation degree between the power absorption or power consumption of each standard period is large. According to the order of |Xi-Xp| from large to small, the corresponding power absorption or power consumption values ​​are deleted in sequence, and the deviation degree of the remaining power absorption or power consumption is calculated accordingly until the deviation degree is ≤Xy2;

[0025] All the power absorption or power consumption values ​​that have not been deleted are obtained and combined into a second set.

[0026] As a preferred solution of the distributed renewable energy power generation cluster division method of the present invention, the division analysis includes:

[0027] According to the geographical locations of all target power generation units, multiple adjacent target power generation units are divided into groups to form multiple power generation units;

[0028] According to the geographical locations of all target energy-consuming nodes, multiple adjacent target energy-consuming nodes are divided into groups and multiple energy-consuming areas are formed;

[0029] According to the distance from the target power generation unit to the target energy consumption node, the distance value from the generator set to the energy consumption area is obtained, and the energy consumption area with the smallest distance value is combined with the generator set to form a pre-matching group;

[0030] Acquire a common energy consumption area in each of the pre-built groups for consumption matching, and at the same time acquire an energy consumption area that does not exist in the pre-built group for consumption matching; and, among the generator sets corresponding to the common energy consumption areas, acquire a group with the smallest distance between the energy consumption area and the generator set to form a new pre-built group for consumption matching; and at the same time, dissolve the original pre-built group for consumption matching formed based on the common energy consumption areas to form a plurality of unmatched generator sets;

[0031] The energy-consuming areas that do not exist in the absorption and matching pre-assembled group are respectively combined with the unmatched power generation units to form new absorption and matching pre-assembled groups until there are no common energy-consuming areas in the absorption and matching pre-assembled groups.

[0032] As a preferred solution of the distributed renewable energy power generation cluster division method of the present invention, determining the consumption matching selection group includes:

[0033] Based on the power consumption analysis value and the power absorption analysis value, calculate the total power consumption value and the total power absorption value of each consumption matching pre-built group;

[0034] The total power consumption value and the total power absorption value in the consumption matching pre-matching group are compared according to the preset floating threshold. If either NZ<HZ-FY or NZ>HZ+FY is established, it means that the consumption matching pre-matching group is not established, and the consumption relationship between all target power generation units and all corresponding target energy consumption nodes in the consumption matching pre-matching group does not meet the division criteria, and then matching analysis and division are performed;

[0035] Among them, FY represents the floating threshold, HZ represents the total power consumption value in a consumption matching pre-set group, and NZ represents the total power absorption value in a consumption matching pre-set group. The classification standard is determined according to the preset floating threshold;

[0036] Mark each energy consumption area in sequence according to the distance between the center points of the corresponding geographical locations of the energy consumption areas formed by the connected clusters of target energy consumption nodes. The center points of the corresponding geographical locations of the energy consumption areas are selected based on the geographical locations of multiple target energy consumption nodes in the energy consumption areas.

[0037] Sequentially mark each generator set according to the distance between the center points of the corresponding geographical locations of the generator sets formed by the connected generator sets of each target generator set, wherein the center point of the corresponding geographical location of the generator set is selected based on the geographical locations of multiple target generator sets in the generator set;

[0038] Through the energy consumption areas or generator groups with sequence marks, the matching analysis is performed on the first corresponding consumption matching pre-built group in the sequence mark;

[0039] Obtain the consumption matching pre-built groups corresponding to the remaining energy consumption areas through sequential marking, and perform matching analysis on the first corresponding consumption matching pre-built group in the sequential marking to confirm and divide the consumption matching pre-built groups;

[0040] Based on the results obtained from the matching, the pre-built group of the matching is recorded as the selected group of the matching.

[0041] As a preferred solution of the distributed renewable energy power generation cluster division method of the present invention, the matching analysis of the energy consumption area includes:

[0042] Obtain the consumption matching pre-set corresponding to the first energy consumption area through sequential marking;

[0043] When the consumption matching pre-group matching is not established and satisfies NZ<HZ-FY, it means that there are too many target energy consumption nodes corresponding to the energy consumption area in the consumption matching pre-group; when it satisfies NZ>HZ+FY, it means that there are too few target energy consumption nodes corresponding to the energy consumption area in the consumption matching pre-group;

[0044] According to the sequence mark corresponding to the energy consumption area, the sequence mark adjacent to the sequence mark and the corresponding adjacent energy consumption area are obtained, and the target energy consumption node with the smallest distance value to the target energy consumption node in the adjacent energy consumption area is extracted from the energy consumption area, and the target energy consumption node is imported into the adjacent energy consumption area;

[0045] The total power consumption and the total power absorption in the pre-matched group are compared according to the preset floating threshold value until HZ-FY≤NZ≤HZ+FY is established.

[0046] As a preferred solution of the distributed renewable energy power generation cluster division method of the present invention, the matching analysis of the generator set includes:

[0047] Obtain the consumption matching pre-set corresponding to the first generator set through sequential marking;

[0048] When the consumption matching pre-matching group matching is not established and satisfies NZ>HZ+FY, it means that there are too many target generating units corresponding to the generator sets in the consumption matching pre-matching group; when it satisfies NZ<HZ-FY, it means that there are too few target generating units corresponding to the generator sets in the consumption matching pre-matching group;

[0049] According to the sequence mark corresponding to the generator group, the sequence mark adjacent to the sequence mark and the corresponding adjacent generator group are obtained, and the target generator unit with the smallest distance value to the target generator unit in the adjacent generator group is extracted from the generator group and imported into the adjacent generator group;

[0050] The total power consumption and the total power absorption in the pre-matched group are compared according to the preset floating threshold value until HZ-FY≤NZ≤HZ+FY is established.

[0051] In a second aspect, the present invention provides a distributed renewable energy power generation cluster division system, comprising:

[0052] The data acquisition module is used to obtain the power consumption data of the power generation cluster, including the power absorption of the target power generation unit, the power consumption of the target energy consumption node, and the distance from the target power generation unit to the target energy consumption node;

[0053] An extraction module is used to extract and process the power absorbed by the target power generation unit or the power consumed by the target energy consumption node within a specified period;

[0054] An analysis and processing module is used to divide and analyze the power generation clusters, construct pre-built consumption matching groups, analyze the consumption relationship of the pre-built consumption matching groups based on the power consumption analysis values ​​and the power absorption analysis values, and determine the selected consumption matching groups;

[0055] The output module is used to select the group according to the consumption matching and perform the division of the power generation cluster.

[0056] In a third aspect, the present invention provides an electronic device, comprising:

[0057] memory and processor;

[0058] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the distributed renewable energy power generation cluster division method are implemented.

[0059] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the distributed renewable energy power generation cluster division method.

[0060] Compared with the prior art, the present invention has the following beneficial effects: the present invention processes the power consumption information and obtains the power consumption analysis value and the power absorption analysis value, which can effectively improve the division effect of the power generation cluster and make the consumption relationship of the power generation cluster more stable; by constructing a consumption matching pre-group, the power consumption analysis value and the power absorption analysis value are used to analyze the consumption relationship to realize the division of the power generation cluster, avoid the renewable energy generated by the power generation cluster from being wasted due to uneven division and distribution, thereby improving the management efficiency of large-scale new energy units; by sequentially marking each power generation unit and / or each energy consumption area, multiple matching division methods are provided for the division of the power generation cluster, further improving the division capability of the power generation cluster. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0062] FIG1 is a schematic diagram of the overall process of a method for dividing distributed renewable energy power generation clusters according to an embodiment of the present invention;

[0063] FIG2 is a comparison diagram of power generation stability of a distributed renewable energy power generation cluster division method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0064] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0065] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0066] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0067] Example 1

[0068] 1 , which is an embodiment of the present invention, provides a method for dividing distributed renewable energy power generation clusters, including:

[0069] S1, obtaining the power consumption data of the power generation cluster. The power consumption information includes the power absorption of all target power generation units in the power generation cluster within a specified range, the power consumption of the target energy consumption node, and the distance from the target power generation unit to the target energy consumption node.

[0070] Preferably, the target energy consumption node is represented as an independent place using renewable energy, such as a factory, residential area, or office building within a specified range; the target power generation unit is a wind power generation unit and / or a photovoltaic power generation unit.

[0071] S2. Based on the power consumption data, extract the power consumption of the target power generation unit or the power consumption of the target energy consumption node within a specified period, calculate the degree of deviation of the power consumption of the target power generation unit or the power consumption of the target energy consumption node within the specified period, compare the degree of deviation with a preset deviation threshold interval, and combine the comparison results into a first set and a second set to obtain an analysis value of the power consumption of the corresponding target power generation unit or an analysis value of the power consumption of the corresponding target energy consumption node.

[0072] Specifically, the extraction process includes:

[0073] Divide the specified period into several standard time periods, and the length of the standard time periods is unified;

[0074] Select a target power generation unit or target energy consumption node, and obtain the power absorbed by the target power generation unit in each standard time period or the power consumed by the target energy consumption node in each standard time period;

[0075] Calculate the degree of deviation of power absorption and power consumption according to the variance formula;

[0076] Compare the degree of deviation with Xy1 and Xy2 in the preset deviation threshold interval [Xy1, Xy2], respectively, where Xy1>Xy2;

[0077] The intersection between the first set and the second set is statistically calculated through set operations, and all corresponding absorbed power and consumed power are obtained based on the intersection, and the average value of absorbed power or consumed power is calculated to obtain the absorbed power analysis value of the corresponding target power generation unit or the consumed power analysis value of the corresponding target energy consumption node.

[0078] Furthermore, comparing the degree of deviation with a preset deviation threshold range includes:

[0079] The degree of deviation is compared with Xy1 of the preset deviation threshold interval;

[0080] If the deviation degree is greater than Xy1, it means that the deviation degree between the power absorption or power consumption of each standard period is large. According to the order of |Xi-Xp| from large to small, the corresponding power absorption or power consumption values ​​are deleted in sequence, and the deviation degree of the remaining power absorption or power consumption is calculated accordingly until the deviation degree is ≤Xy1;

[0081] Wherein, Xp represents the average value of the power absorbed or consumed during the standard period used to calculate the corresponding deviation degree;

[0082] Obtain all deleted power absorption or power consumption values ​​and combine them into a first set;

[0083] The degree of deviation is compared with Xy2 of a preset deviation threshold interval;

[0084] If the deviation degree is greater than Xy2, it means that the deviation degree between the power absorption or power consumption of each standard period is large. According to the order of |Xi-Xp| from large to small, the corresponding power absorption or power consumption values ​​are deleted in sequence, and the deviation degree of the remaining power absorption or power consumption is calculated accordingly until the deviation degree is ≤Xy2;

[0085] All the power absorption or power consumption values ​​that have not been deleted are obtained and combined into a second set.

[0086] Preferably, taking a target power generation unit as an example, the power absorption of the target power generation unit in each standard time period is obtained, and the power absorption of each standard time period is marked as Xi, i = 1, 2, ... n, n represents the number of all standard time periods in the specified period; the deviation degree XL of each Xi is calculated using the variance formula; the deviation degree XL is respectively compared with Xy1 and Xy2 in the preset deviation threshold interval [Xy1, Xy2], if XL>Xy1, it means that the deviation degree value between the power absorption of each standard time period is large, and then the corresponding Xi values ​​are deleted in descending order according to |Xi-Xp| and the deviation degree of the remaining Xi is calculated accordingly until Xy1 is obtained. L≤Xy1, then obtain all deleted Xi values ​​and combine them into a first power absorption set; if XL>Xy2, it means that the deviation between the power absorption in each standard period is large, then delete the corresponding Xi values ​​in descending order of |Xi-Xp| and calculate the deviation of the remaining Xi until XL≤Xy2, then obtain all undeleted Xi values ​​and combine them into a second power absorption set; use set operations to count the intersection between the second power absorption set and the first power absorption set, obtain all corresponding power absorption in the intersection, then calculate the average value, and then record the average value as the power absorption analysis value of the corresponding target power generation unit.

[0087] Preferably, this embodiment also extracts and processes the power consumption of each target energy-consuming node within the specified period. The extraction and processing method is the same as the extraction and processing method of the power absorption of each target power generation unit within the specified period, and the first power consumption set and the second power consumption set of the corresponding target energy-consuming node are obtained based on the extraction and processing results, and the intersection between the second power consumption set and the first power consumption set is statistically calculated using set operations, and all corresponding power consumptions are obtained in the intersection, and then the average value of the power consumption is calculated, and the average value is recorded as the power consumption analysis value of the corresponding target energy-consuming node.

[0088] It should be noted that by extracting the power absorption of the target power generation unit or the power consumption of the target energy consumption node within a specified period, the energy utilization efficiency can be improved. By analyzing the power absorption of each power generation unit, the utilization of renewable energy can be maximized and energy waste can be reduced. It can further optimize power distribution and reasonably allocate power resources to meet the energy needs of different regions.

[0089] S3, divide and analyze the power generation cluster based on the power consumption analysis value and the power absorption analysis value, build a consumption matching pre-group for multiple power generation units and energy consumption areas according to the distance from the target power generation unit to the target energy consumption node, and analyze the consumption relationship of the consumption matching pre-group through the power consumption analysis value and the power absorption analysis value. According to the analysis results, reallocate the power generation units and energy consumption areas in the consumption matching pre-group, and determine the consumption matching selected group.

[0090] Specifically, the segmentation analysis includes:

[0091] According to the geographical locations of all target power generation units, multiple adjacent target power generation units are divided into groups to form multiple power generation units;

[0092] According to the geographical locations of all target energy-consuming nodes, multiple adjacent target energy-consuming nodes are divided into groups and multiple energy-consuming areas are formed;

[0093] In this embodiment, the generator sets and energy consumption areas are customized by the management personnel based on the geographical locations of the corresponding target generators and the target energy consumption nodes in the satellite map, and the number of generator sets is the same as the number of target energy consumption nodes. Preferably, the multiple target energy consumption nodes in the energy consumption area and the multiple target generators in the generator sets are all connected.

[0094] According to the distance from the target power generation unit to the target energy consumption node, the distance value from the generator set to the energy consumption area is obtained, and the energy consumption area with the smallest distance value is combined with the generator set to form a pre-matching group;

[0095] Preferably, the shortest distance from each generator set to each energy consumption area is obtained, and the shortest distance is expressed as follows: taking the shortest distance from a generator set to an energy consumption area as an example, among the various distances between each target power generation unit in the generator set and each target energy consumption node in the energy consumption area, a minimum distance value is selected, which is the shortest distance from the generator set to the energy consumption area. Among the shortest distances from a generator set to each energy consumption area, the energy consumption area with the smallest shortest distance value is obtained and the generator set to form a pre-matching group.

[0096] It should be noted that the consumption matching pre-built group and / or consumption matching selected group are expressed as follows: the generator sets in the consumption matching pre-built group and / or consumption matching selected group are responsible for providing renewable electric energy, and the energy consumption areas in the consumption matching pre-built group and / or consumption matching selected group are used to use the corresponding generator sets to provide renewable electric energy;

[0097] At the same time, the remaining generating sets form a pre-matching group with the corresponding energy-consuming areas.

[0098] Obtain the common energy consumption areas in each absorption matching pre-built group, and at the same time obtain the energy consumption areas that do not exist in the absorption matching pre-built group. Among the generator sets corresponding to the common energy consumption areas, obtain the group with the shortest distance value between the energy consumption areas and the generator sets to form a new absorption matching pre-built group. At the same time, the original absorption matching pre-built group formed based on the common energy consumption areas is disbanded to form multiple unmatched generator sets.

[0099] The energy-consuming areas that do not exist in the absorption and matching pre-assembled group will be combined with the unmatched power generation units to form new absorption and matching pre-assembled groups, until there are no common energy-consuming areas in the absorption and matching pre-assembled groups.

[0100] Furthermore, the selected groups for the determination of absorption matching include:

[0101] Based on the power consumption analysis value and the power absorption analysis value, calculate the total power consumption value and the total power absorption value of each consumption matching pre-built group;

[0102] Preferably, the total value of power consumption in the consumption matching pre-build group is calculated by adding up all power consumption analysis values ​​in the consumption matching pre-build group; the total value of power absorption in the consumption matching pre-build group is calculated by adding up all power absorption analysis values ​​in the consumption matching pre-build group.

[0103] The total power consumption value and the total power absorption value in the consumption matching pre-matching group are compared according to the preset floating threshold. If either NZ<HZ-FY or NZ>HZ+FY is established, it means that the consumption matching pre-matching group is not established, and the consumption relationship between all target power generation units and all corresponding target energy consumption nodes in the consumption matching pre-matching group does not meet the division criteria, and then matching analysis and division are performed;

[0104] Among them, FY represents the floating threshold, HZ represents the total power consumption value in a consumption matching pre-set group, and NZ represents the total power absorption value in a consumption matching pre-set group. The classification standard is determined according to the preset floating threshold;

[0105] Furthermore, each energy consumption area is sequentially marked according to the distance between the center points of the corresponding geographical locations of the energy consumption areas formed by the connected energy consumption nodes, wherein the center points of the corresponding geographical locations of the energy consumption areas are selected based on the geographical locations of multiple target energy consumption nodes in the energy consumption areas;

[0106] Sequentially mark each generator set according to the distance between the center points of the corresponding geographical locations of the generator sets formed by the connected generator sets of each target generator set, wherein the center point of the corresponding geographical location of the generator set is selected based on the geographical locations of multiple target generator sets in the generator set;

[0107] Through the energy consumption areas or generator groups with sequence marks, the matching analysis is performed on the first corresponding consumption matching pre-built group in the sequence mark;

[0108] Obtain the consumption matching pre-built groups corresponding to the remaining energy consumption areas through sequential marking, and perform matching analysis on the first corresponding consumption matching pre-built group in the sequential marking to confirm and divide the consumption matching pre-built groups;

[0109] Based on the results obtained from the matching, the pre-built group of the matching is recorded as the selected group of the matching.

[0110] Preferably, HZ-FY≤NZ≤HZ+FY holds true, indicating that the absorption matching pre-group matching is established, that is, the absorption relationship between all target power generation units in the absorption matching pre-group and all corresponding target energy consumption nodes meets the division criteria.

[0111] Furthermore, the matching analysis of energy consumption areas includes:

[0112] Obtain the consumption matching pre-set corresponding to the first energy consumption area through sequential marking;

[0113] When the consumption matching pre-group matching is not established and satisfies NZ<HZ-FY, it means that there are too many target energy consumption nodes corresponding to the energy consumption area in the consumption matching pre-group; when it satisfies NZ>HZ+FY, it means that there are too few target energy consumption nodes corresponding to the energy consumption area in the consumption matching pre-group;

[0114] According to the sequence mark corresponding to the energy consumption area, the sequence mark adjacent to the sequence mark and the corresponding adjacent energy consumption area are obtained, and the target energy consumption node with the shortest distance value to the target energy consumption node in the adjacent energy consumption area is extracted from the energy consumption area, and the target energy consumption node is imported into the adjacent energy consumption area;

[0115] The total power consumption and the total power absorption in the pre-matched group are compared according to the preset floating threshold value until HZ-FY≤NZ≤HZ+FY is established.

[0116] Furthermore, the matching analysis of the generator set includes,

[0117] Obtain the consumption matching pre-set corresponding to the first generator set through sequential marking;

[0118] When the consumption matching pre-matching group matching is not established and satisfies NZ>HZ+FY, it means that there are too many target generating units corresponding to the generator sets in the consumption matching pre-matching group; when it satisfies NZ<HZ-FY, it means that there are too few target generating units corresponding to the generator sets in the consumption matching pre-matching group;

[0119] According to the sequence mark corresponding to the generator group, the sequence mark adjacent to the sequence mark and the corresponding adjacent generator group are obtained, and the target generator unit with the smallest distance value to the target generator unit in the adjacent generator group is extracted from the generator group and imported into the adjacent generator group;

[0120] The total power consumption and the total power absorption in the pre-matched group are compared according to the preset floating threshold value until HZ-FY≤NZ≤HZ+FY is established.

[0121] It's important to note that the power consumption analysis value refers to the analysis of power demand for a specific area or node, used to understand power consumption patterns and trends. The power absorption analysis value refers to the power that a renewable energy generation cluster can provide, measuring renewable energy output. Generation cluster segmentation and analysis compares power consumption and available power absorption data to analyze and segment the generation cluster. Generator units are then combined or matched with energy-consuming areas to best meet power demand. This optimizes the layout of the generation cluster to maximize renewable energy utilization, meet energy demand, and minimize energy waste. The distance between the target generator unit and the target energy-consuming node is determined by considering power transmission efficiency and losses. Closer distances result in lower transmission losses and higher transmission efficiency.

[0122] The construction and analysis of the pre-built absorption and matching group are based on distance and power matching, and multiple generator sets and energy consumption areas are pre-matched and combined to better match power generation and consumption and reduce losses in power transmission.

[0123] Absorption relationship analysis and reallocation: conduct detailed analysis of the absorption relationship between the generator sets and energy consumption areas in the matching group to establish a more effective absorption relationship, ensure stable and efficient power supply, and ultimately determine the best matching combination of generator sets and energy consumption areas.

[0124] In summary, the goal is to optimize the match between renewable energy generation and electricity consumption, reduce energy losses and improve energy utilization efficiency; by analyzing consumption and output data and taking into account the efficiency and stability of power transmission, it can help build smarter and more efficient renewable energy generation clusters, thereby contributing to the sustainability and stability of the energy system.

[0125] S4, select the group according to the consumption matching and perform the division of the power generation cluster.

[0126] Finally, the consumption matching selection group will be provided to the management personnel, and the power generation cluster will be divided and executed, which improves the utilization efficiency of distributed power generation resources.

[0127] It should be noted that by processing the power consumption information and obtaining the power consumption analysis value and the power absorption analysis value, and at the same time by constructing a consumption matching pre-group, and then using the power consumption analysis value and the power absorption analysis value to perform a consumption relationship analysis, the power generation cluster can be divided. This can effectively improve the division effect of the power generation cluster, make the consumption relationship of the power generation cluster more stable, and avoid the energy waste caused by uneven division and distribution of renewable energy generated by the power generation cluster, thereby improving the management efficiency of large-scale new energy units. At the same time, it provides multiple matching division methods for the division of the power generation cluster, and further improves the division ability of the power generation cluster by sequentially marking each power generation unit, which can effectively improve the absorption capacity of distributed energy.

[0128] The above is a schematic scheme of a distributed renewable energy generation cluster division method according to this embodiment. It should be noted that the technical scheme of this distributed renewable energy generation cluster division system and the technical scheme of the distributed renewable energy generation cluster division method described above are based on the same concept. For details not described in detail in the technical scheme of the distributed renewable energy generation cluster division system according to this embodiment, please refer to the description of the technical scheme of the distributed renewable energy generation cluster division method described above.

[0129] The distributed renewable energy power generation cluster division system in this embodiment includes:

[0130] The data acquisition module is used to obtain the power consumption data of the power generation cluster, including the power absorption of the target power generation unit, the power consumption of the target energy consumption node, and the distance from the target power generation unit to the target energy consumption node;

[0131] An extraction module is used to extract and process the power absorbed by the target power generation unit or the power consumed by the target energy consumption node within a specified period;

[0132] An analysis and processing module is used to divide and analyze the power generation clusters, construct pre-built consumption matching groups, analyze the consumption relationship of the pre-built consumption matching groups based on the power consumption analysis values ​​and the power absorption analysis values, and determine the selected consumption matching groups;

[0133] The output module is used to select the group according to the consumption matching and perform the division of the power generation cluster.

[0134] This embodiment further provides an electronic device suitable for distributed renewable energy power generation cluster division, including:

[0135] Memory and processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the distributed renewable energy power generation cluster division method proposed in the above embodiment.

[0136] This embodiment further provides a storage medium storing a computer program, which, when executed by a processor, implements the method for dividing distributed renewable energy power generation clusters as proposed in the above embodiment.

[0137] The storage medium proposed in this embodiment and the method for implementing distributed renewable energy power generation cluster division proposed in the above embodiment belong to the same inventive concept. Technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0138] Through the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented with the help of software and necessary general-purpose hardware, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a computer's floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of the present invention.

[0139] Example 2

[0140] Referring to Table 1 and FIG2 , an embodiment of the present invention provides a distributed renewable energy power generation cluster division method. To verify its beneficial effects, comparison results of two solutions are provided.

[0141] This embodiment uses the distributed renewable energy power generation cluster division method of the present invention to conduct simulation experiments based on the usage scenarios of the power generation cluster, and compares and verifies the traditional division method from the aspects of improved power generation efficiency, stability of consumption relationship, reduction of energy waste, improvement of new energy unit management efficiency and environmental impact.

[0142] The improvement of power generation efficiency is achieved by comparing the energy utilization rate and power generation stability of the cluster before and after the division. Specifically, by comparing the actual output of the power generation equipment with the theoretical maximum output, it is evaluated whether the division has improved the effective utilization of energy. The power generation fluctuation of the cluster after the division is analyzed to evaluate the impact of the division on the stability of the power generation.

[0143] The flexibility of grid dispatch is verified by evaluating the response speed of the clusters after the division. Energy usage is examined from the perspectives of supply-demand matching and energy storage utilization. The supply-demand matching of the clusters before and after the division is analyzed, and the impact of the division on energy storage utilization is evaluated. This ensures that the division can better match energy supply and demand, reduce unnecessary energy waste, and ensure that the energy storage system can more efficiently store and release energy.

[0144] Table 1 Verification comparison data of the method of the present invention and the traditional method

[0145] As shown in Table 1, the partitioning method of the present invention significantly improves the effective utilization of energy. After evaluation and partitioning, the cluster's response speed to grid dispatch is significantly improved, which improves the flexibility of grid dispatch and ensures that the grid can flexibly adjust to fluctuations in renewable energy. The supply and demand matching degree of the cluster after partitioning is 12% higher than that of the traditional method, ensuring that the partitioning can better match energy supply and demand and reduce unnecessary energy waste. In addition, the improved energy storage utilization rate enables the energy storage system to store and release energy more efficiently.

[0146] At the same time, it can be seen that the reduction in operating costs has significantly improved the management efficiency of the unit and extended the maintenance cycle, ensuring the reliability and stability of the unit; the reduction in carbon emissions has a beneficial effect on the environment and promotes more environmentally friendly energy generation.

[0147] As can be seen from Figure 2, the comparison of the power generation fluctuations of the cluster after division shows that the stability of the power generation is significantly improved. The present invention can effectively improve the division effect of the power generation cluster, making the consumption relationship of the power generation cluster more stable; it can avoid the energy waste caused by uneven division and distribution of renewable energy generated by the power generation cluster, thereby improving the management efficiency of large-scale new energy units.

[0148] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for dividing a distributed renewable energy power generation cluster, characterized in that Including: Obtain the power consumption data of the power generation cluster, including the absorbed power of the target power generation unit, the consumed power of the target energy-consuming node, and the distance from the target power generation unit to the target energy-consuming node; Based on the power consumption data, extract the absorbed power of the target power generation unit or the consumed power of the target energy-consuming node within a specified period, calculate the deviation degree of the absorbed power of the target power generation unit or the consumed power of the target energy-consuming node within the specified period, compare with the preset deviation threshold interval according to the comparison result, and combine the first set and the second set to obtain the absorbed power analysis value of the corresponding target power generation unit or the consumed power analysis value of the corresponding target energy-consuming node; Based on the consumed power analysis value and the absorbed power analysis value, conduct a division analysis of the power generation cluster. According to the distance from the target power generation unit to the target energy-consuming node, construct a pre-matched consumption group for multiple generator sets and energy-consuming areas. Through the consumed power analysis value and the absorbed power analysis value, conduct a consumption relationship analysis of the pre-matched consumption group. According to the analysis result, reallocate the generator sets and energy-consuming areas in the pre-matched consumption group, and determine the confirmed consumption matching group; According to the confirmed consumption matching group, perform the division of the power generation cluster.

2. The distributed renewable energy power generation cluster division method according to claim 1, wherein, The extraction process includes: Divide the specified period into several standard time periods with the same duration; Select a target power generation unit or a target energy-consuming node, and obtain the absorbed power of the target power generation unit in each standard time period or the consumed power of the target energy-consuming node in each standard time period; Calculate the deviation degree of the absorbed power and the consumed power according to the variance formula; Compare the deviation degree with Xy1 and Xy2 in the preset deviation threshold interval [Xy1, Xy2], where Xy1 > Xy2; Statistically calculate the intersection between the first set and the second set through set operations, and obtain all the corresponding absorbed power and consumed power according to the intersection. Calculate the average value of the absorbed power or the consumed power to obtain the absorbed power analysis value of the corresponding target power generation unit or the consumed power analysis value of the corresponding target energy-consuming node.

3. The distributed renewable energy power generation cluster division method according to claim 2, wherein Compare the deviation degree with the preset deviation threshold interval Including: Compare the deviation degree with Xy1 of the preset deviation threshold interval; If the deviation degree > Xy1, it means that the deviation degree value between the absorbed power or the consumed power in each standard time period is large. According to the order from large to small of |Xi - Xp|, delete the corresponding absorbed power or consumed power values in turn, and calculate the deviation degree of the remaining absorbed power or consumed power until the deviation degree ≤ Xy1; Wherein, Xp represents the average value of the absorbed power or the consumed power corresponding to the standard time period used to calculate the corresponding deviation degree; Obtain all the deleted absorbed power or consumed power values and combine them into the first set; Compare the deviation degree with Xy2 of the preset deviation threshold interval; If the deviation degree > Xy2, it means that the deviation degree values between the absorbed power or consumed power in each standard period are relatively large. According to the order from large to small of |Xi - Xp|, the corresponding values of the absorbed power or consumed power are deleted in sequence, and the deviation degree of the remaining absorbed power or consumed power is calculated correspondingly until the deviation degree ≤ Xy2; Obtain all the values of the absorbed power or consumed power that have not been deleted and combine them into a second set.

4. The distributed renewable energy power generation cluster division method according to claim 3, wherein The division analysis includes, According to the geographical locations of all target power generation units, divide multiple adjacent target power generation units into groups and form multiple power generation sets; According to the geographical locations of all target energy-consuming nodes, divide multiple adjacent target energy-consuming nodes into groups and form multiple energy-consuming areas; According to the distance from the target power generation unit to the target energy-consuming node, obtain the distance value from the power generation set to the energy-consuming area, and form a pre-matched consumption group with the energy-consuming area with the smallest distance value among the power generation set; Obtain the common energy-consuming areas in each of the pre-matched consumption groups, and at the same time obtain the energy-consuming areas that do not exist in the pre-matched consumption groups. Among the power generation sets corresponding to the common energy-consuming areas, obtain the group with the smallest distance value between the energy-consuming area and the power generation set to form a new pre-matched consumption group. At the same time, the original pre-matched consumption groups formed by the common energy-consuming areas are dissolved, and multiple unmatched power generation sets are formed; Combine the energy-consuming areas that do not exist in the pre-matched consumption groups with the unmatched power generation sets respectively to form new pre-matched consumption groups until there are no common energy-consuming areas in the pre-matched consumption groups.

5. The distributed renewable energy power generation cluster division method according to claim 4, wherein Determining the selected consumption group includes, Based on the consumed power analysis value and the absorbed power analysis value, calculate the total consumed power value and the total absorbed power value of each pre-matched consumption group; Compare the total consumed power value and the total absorbed power value in the pre-matched consumption group according to the preset floating threshold. If either NZ < HZ - FY or NZ > HZ + FY holds, it means that the matching of the pre-matched consumption group is not established, and the consumption relationship between all the target power generation units and the corresponding all target energy-consuming nodes in the pre-matched consumption group does not meet the division standard, and then matching analysis and division are carried out; Among them, FY represents the floating threshold, HZ represents the total consumed power value in a pre-matched consumption group, NZ represents the total absorbed power value in a pre-matched consumption group, and the division standard is determined according to the preset floating threshold; Mark the order for each energy-consuming area according to the distance between the central points of the corresponding geographical locations of the energy-consuming areas formed by connecting the target energy-consuming nodes in series. Among them, the central point of the corresponding geographical location of the energy-consuming area is selected according to the geographical locations of the multiple target energy-consuming nodes in the energy-consuming area; Mark the order for each power generation set according to the distance between the central points of the corresponding geographical locations of the power generation sets formed by connecting the target power generation units in series. Among them, the central point of the corresponding geographical location of the power generation set is selected according to the geographical locations of the multiple target power generation units in the power generation set; Conduct matching analysis on the first corresponding pre-matched consumption group in the order mark through the energy-consuming area or power generation set with the order mark; Obtain the consumption matching pre-assembled group corresponding to the remaining energy-consuming areas through sequential marking, and confirm and divide the consumption matching pre-assembled group by performing matching analysis on the first corresponding consumption matching pre-assembled group in the sequential marking; Based on the obtained matching result, record the consumption matching pre-assembled group with successful matching as the consumption matching confirmed group.

6. The distributed renewable energy power generation cluster division method according to claim 5, wherein The matching analysis of the energy-consuming area includes: Obtain the consumption matching pre-assembled group corresponding to the first energy-consuming area through sequential marking; When the consumption matching pre-assembled group fails to match, if NZ < HZ - FY is satisfied, it means that there are too many target energy-consuming nodes corresponding to the energy-consuming area in the consumption matching pre-assembled group; if NZ > HZ + FY is satisfied, it means that there are too few target energy-consuming nodes corresponding to the energy-consuming area in the consumption matching pre-assembled group; According to the corresponding sequential marking of the energy-consuming area, obtain the sequential marking adjacent to the sequential marking and the corresponding adjacent energy-consuming area, extract the target energy-consuming node with the smallest distance value from the target energy-consuming nodes in the adjacent energy-consuming area in the energy-consuming area, and import it into the adjacent energy-consuming area; Compare according to the preset floating threshold with the total consumption power value and the total absorbed power value in the consumption matching pre-assembled group until HZ - FY ≤ NZ ≤ HZ + FY is established.

7. The distributed renewable energy power generation cluster division method according to claim 5, characterized in that The matching analysis of the generator set includes: Obtain the consumption matching pre-assembled group corresponding to the first generator set through sequential marking; When the consumption matching pre-assembled group fails to match, if NZ > HZ + FY is satisfied, it means that there are too many target power generation units corresponding to the generator set in the consumption matching pre-assembled group; if NZ < HZ - FY is satisfied, it means that there are too few target power generation units corresponding to the generator set in the consumption matching pre-assembled group; According to the corresponding sequential marking of the generator set, obtain the sequential marking adjacent to the sequential marking and the corresponding adjacent generator set, extract one target power generation unit with the smallest distance value from the target power generation units in the adjacent generator set in the generator set, and import it into the adjacent generator set; Compare according to the preset floating threshold with the total consumption power value and the total absorbed power value in the consumption matching pre-assembled group until HZ - FY ≤ NZ ≤ HZ + FY is established.

8. A distributed renewable energy power generation cluster division system, characterized in that, Including: A data acquisition module for acquiring the power consumption data of the power generation cluster, including the absorbed power of the target power generation unit, the consumed power of the target energy-consuming node, and the distance from the target power generation unit to the target energy-consuming node; An extraction module for extracting and processing the absorbed power of the target power generation unit or the consumed power of the target energy-consuming node within a specified period; An analysis and processing module for dividing and analyzing the power generation cluster, constructing a consumption matching pre-assembled group, and performing consumption relationship analysis on the consumption matching pre-assembled group through the consumption power analysis value and the absorbed power analysis value to determine the consumption matching confirmed group; An output module for performing the division work of the power generation cluster according to the consumption matching confirmed group.

9. An electronic device, including: A memory and a processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the distributed renewable energy power generation cluster division method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the steps of the distributed renewable energy power generation cluster division method according to any one of claims 1 to 7 are implemented.

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