A distributed energy management method and system based on itemized measurement analysis

Abstract

The present invention discloses a distributed energy management method and system based on itemized metering analysis, which relates to the field of distributed energy technology, including: establishing a consumption habit model of energy consumption items; forming a priority coefficient of energy consumption items within a power consumption interval; obtaining a transmission line with the smallest power loss from a local energy supply device to a user address as a target transmission line; forming at least one reserve power allocation plan within the power consumption interval; calculating the total power loss value of the reserve power allocation plan, and selecting the reserve power allocation plan with the smallest total power loss value as a characteristic power allocation plan; obtaining a target power allocation plan; and using the target power allocation plan to perform energy allocation management within the power consumption interval. By setting a power classification module, a power loss acquisition module, a plan formation module, and a plan adjustment module, the target power allocation plan obtained can reasonably meet the power demand and ensure less loss.

Description

Technical Field

[0001] The present invention relates to the field of distributed energy technology, and in particular to a distributed energy management method and system based on itemized metering analysis. Background Art

[0002] With the increase in energy demand and the continuous development and utilization of renewable energy, the management of distributed energy has become an important part of smart grid construction. Distributed energy refers to the use of small energy devices distributed at various terminals in the power system, such as solar panels, wind turbines, etc., to generate electricity close to the terminal for local use or storage.

[0003] When distributed energy is used, there are many influencing factors in the use environment, which greatly interferes with the reasonable allocation of distributed energy, making it difficult for distributed energy to integrate multiple factors and form a more reasonable and less loss-prone solution. Summary of the invention

[0004] In order to solve the above technical problems, a distributed energy management method and system based on sub-item metering analysis are provided. This technical solution solves the problem raised in the above background technology that when distributed energy is used, there are many influencing factors in the use environment, which has a great interference with the reasonable allocation of distributed energy, making it difficult for distributed energy to integrate multiple factors and form a more reasonable and adaptable solution with less loss.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A distributed energy management method based on itemized metering analysis, comprising:

[0007] Determine at least one energy consumption item for itemized measurement and establish a consumption habit model for the energy consumption item;

[0008] Acquire a spatial distribution location set of energy consumption items, the spatial distribution location set consisting of at least one user address;

[0009] Evenly divide the daily time to obtain at least one power consumption interval, and form priority coefficients of energy consumption items within the power consumption interval;

[0010] Acquire at least one local energy supply device constituting distributed energy, acquire an upper limit of energy supply of the local energy supply device within a power consumption interval, and acquire a location of the local energy supply device;

[0011] Obtain the transmission line with the smallest power loss from the local energy supply equipment to the user address as the target transmission line;

[0012] Based on the priority coefficients, at least one preliminary power allocation plan is formed within the power consumption interval;

[0013] Based on the power loss rate, calculating the total power loss value of the reserve power allocation scheme, and selecting the reserve power allocation scheme with the smallest total power loss value as the characteristic power allocation scheme;

[0014] Based on the detection of energy gap, the characteristic power allocation plan is corrected and adjusted to obtain the target power allocation plan;

[0015] Use the target power allocation plan to manage energy distribution within the power consumption range.

[0016] Preferably, the determining of at least one energy consumption item for item-by-item metering and establishing a consumption habit model of the energy consumption item comprises the following steps:

[0017] Acquire at least one usage of energy, cluster the at least one usage based on a clustering algorithm, and obtain at least one energy consumption item, where the energy consumption item is composed of the usage;

[0018] At least one sampling point is evenly set in the daily time, the consumption speed of the energy consumption item at a time equal to the value at the sampling point in at least one day is obtained, and the average of at least one consumption speed is taken to obtain an average consumption speed;

[0019] The values ​​at the sampling points are paired and fitted with the average consumption speed to obtain the consumption fitting function. The consumption fitting function corresponds to the energy consumption items one by one, where the values ​​at the sampling points are the independent variables and the average consumption speed is the dependent variable.

[0020] Preferably, obtaining the spatial distribution location set of energy consumption items comprises the following steps:

[0021] Obtain at least one candidate location that generates energy consumption, and obtain the total duration of energy consumption generated by the candidate location in a year as a characteristic duration;

[0022] Use the energy probability formula to calculate the energy consumption probability of the alternative locations;

[0023] The candidate location with an energy consumption probability greater than a preset value is used as the user address;

[0024] Obtaining the energy usage of the user address, matching the user address with the energy consumption item including the usage of the user address, and summarizing the user addresses corresponding to the energy consumption items into a spatial distribution location set;

[0025] The energy probability formula is as follows:

[0026] Among them, A is the probability of energy consumption and a is the characteristic time.

[0027] Preferably, forming the priority coefficient of the energy consumption item within the electricity consumption interval comprises the following steps:

[0028] Obtain at least one power gap situation of an energy consumption item within the power consumption interval, where the power gap situation is composed of the power gap amount and the economic loss cost caused by the gap;

[0029] Use the power gap formula to calculate the unit gap cost of the power gap situation;

[0030] The unit gap cost of at least one power gap situation is averaged to obtain the priority coefficient of the energy consumption project;

[0031] The formula for the power gap is as follows:

[0032] Among them, B is the unit gap cost, b is the economic loss cost caused by the gap, and c is the amount of electricity gap.

[0033] Preferably, the step of obtaining a transmission line with the smallest power loss from the local energy supply device to the user address as the target transmission line comprises the following steps:

[0034] Obtain at least one power transmission line from the local energy supply device to the user address, and obtain the power loss rate of the power transmission line;

[0035] The transmission line with the smallest power loss rate is selected as the target transmission line.

[0036] Preferably, the step of obtaining the power loss rate of the transmission line comprises the following steps:

[0037] Evenly divide the transmission line into at least one transmission block, and obtain the resistance of the transmission block;

[0038] Obtaining a resistance value range of the power transmission block, dividing the resistance value range into equal intervals, and obtaining at least one identification point;

[0039] Obtain a transmission line whose resistance is equal to the value at the identification point as a characteristic line;

[0040] Use preset energy to transmit in the characteristic line, and obtain the energy after the characteristic line is transmitted as the characteristic energy;

[0041] The characteristic energy is divided by the preset energy to obtain the characteristic ratio;

[0042] The value at the identification point is paired with the characteristic proportion and fitted to obtain a loss fitting function, wherein the value at the identification point is the independent variable and the characteristic proportion is the dependent variable;

[0043] Substitute the resistance of the transmission block into the loss fitting function to obtain the local loss rate;

[0044] The local loss rate of at least one transmission block is multiplied to obtain the power loss rate of the transmission line.

[0045] Preferably, the forming of at least one reserve power distribution scheme in the power consumption interval based on the priority coefficient comprises the following steps:

[0046] In the electricity consumption interval, the consumption fitting function corresponding to the energy consumption item is integrated to obtain the energy consumption value, and the energy consumption value corresponds to the energy consumption item;

[0047] Evenly divide the energy consumption value into at least one local energy block, and the size of the local energy block is a preset energy value;

[0048] According to the priority coefficients of the energy consumption items, the energy consumption items are sorted from large to small to obtain a sequence of energy consumption items;

[0049] Evenly divide the upper limit of energy supply of the local energy supply equipment within the power consumption interval to obtain at least one local energy supply block, and the size of the local energy supply block is a preset energy value;

[0050] According to the sequence of energy consumption items, the energy partial blocks of the energy consumption items are randomly paired with the energy supply partial blocks, and it is satisfied that the energy partial blocks are paired with at most one energy supply partial block;

[0051] Each pairing scheme of the energy partial block of the energy consumption item and the energy supply partial block respectively forms a preliminary power distribution scheme in which the energy supply partial block is supplied to the paired energy partial block.

[0052] Preferably, the calculating the total power loss value of the preliminary power distribution scheme based on the power loss rate comprises the following steps:

[0053] In the preliminary power distribution plan, a user address where the energy local block of the energy consumption item is located is obtained, and a target transmission line between the user address where the energy local block of the energy consumption item is located and a local energy supply device where the energy supply local block paired with the energy local block of the energy consumption item is located is obtained as a characteristic transmission line;

[0054] The power loss rate of at least one characteristic power transmission line is multiplied by a preset energy value and then accumulated to obtain a total power loss value of the reserve power distribution scheme.

[0055] Preferably, the step of correcting and adjusting the characteristic power distribution scheme to obtain the target power distribution scheme comprises the following steps:

[0056] When there is no energy supply local block that is not paired with the energy local block in the characteristic power allocation scheme, the characteristic power allocation scheme is used as the target power allocation scheme;

[0057] When there is an energy supply local block in the characteristic power distribution scheme that is not paired with an energy local block, the unpaired energy supply local block is used as the characteristic energy supply local block;

[0058] Obtaining the total number of energy local blocks, evenly dividing the characteristic energy supply local block into at least one target small block, wherein the number of the characteristic energy supply local block divided is equal to the total number of energy local blocks;

[0059] At least one target small block of the characteristic energy supply local block is respectively delivered to the user address where the energy local block is located, and the delivery process is supplemented to the characteristic power distribution plan to obtain a target power distribution plan.

[0060] A distributed energy management system based on itemized metering analysis is used to implement the above-mentioned distributed energy management method based on itemized metering analysis, comprising:

[0061] An itemized metering module, the itemized metering module determines at least one energy consumption item for itemized metering and establishes a consumption habit model of the energy consumption item;

[0062] A location acquisition module, wherein the location acquisition module acquires a spatial distribution location set of energy consumption items, wherein the spatial distribution location set is composed of at least one user address;

[0063] An electricity consumption classification module, wherein the electricity consumption classification module divides the daily time evenly to obtain at least one electricity consumption interval and forms a priority coefficient of the energy consumption item within the electricity consumption interval;

[0064] A data acquisition module, wherein the data acquisition module acquires at least one local energy supply device constituting distributed energy, acquires an upper limit of energy supply of the local energy supply device within a power consumption interval, and acquires a location of the local energy supply device;

[0065] An electric loss acquisition module, wherein the electric loss acquisition module acquires a transmission line with the smallest electric loss from a local energy supply device to a user address as a target transmission line;

[0066] A plan forming module, wherein the plan forming module forms at least one preliminary power distribution plan within the power consumption interval based on the priority coefficient;

[0067] A scheme screening module, wherein the scheme screening module calculates the total power loss value of the reserve power allocation scheme based on the power loss rate, and selects the reserve power allocation scheme with the smallest total power loss value as the characteristic power allocation scheme;

[0068] A scheme adjustment module, wherein the scheme adjustment module corrects and adjusts the characteristic power allocation scheme based on the detection of the energy gap to obtain a target power allocation scheme;

[0069] An energy management module is used to manage energy distribution within a power consumption interval using a target power distribution scheme.

[0070] Compared with the prior art, the present invention has the following beneficial effects:

[0071] By setting up an electricity classification module, an electricity loss acquisition module, a plan formation module and a plan adjustment module, the consumption habits of energy consumption items are analyzed, and priority coefficients of energy consumption items are formed within the electricity consumption range. Energy is allocated in priority according to the priority coefficients to ensure that more important energy consumption items are met first. At the same time, when allocating, the problem of transmission loss is taken into account, and the total value of electricity loss in power distribution is minimized as much as possible. Finally, considering the problem of loss, supplementary electricity allocation is carried out when there is sufficient electricity. Therefore, the target power allocation plan obtained can meet the electricity demand more reasonably and ensure less loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a flow chart of the distributed energy management method based on itemized metering analysis of the present invention;

[0073] Figure 2 A schematic diagram of a flow chart of determining at least one energy consumption item for item-by-item metering and establishing a consumption habit model for the energy consumption item according to the present invention;

[0074] Figure 3 A schematic diagram of a process for obtaining a spatial distribution location set of energy consumption items according to the present invention;

[0075] Figure 4 It is a schematic diagram of a flow chart of forming a priority coefficient of an energy consumption item within a power consumption interval according to the present invention;

[0076] Figure 5 A schematic diagram of a process of obtaining a transmission line with the smallest power loss from a local energy supply device to a user address as a target transmission line according to the present invention;

[0077] Figure 6 A schematic diagram of a process for obtaining the power loss rate of a power transmission line according to the present invention;

[0078] Figure 7 A schematic diagram of a flow chart of forming at least one reserve power distribution scheme in a power consumption interval based on a priority coefficient according to the present invention;

[0079] Figure 8 A schematic diagram of a flow chart of calculating the total power loss value of a preliminary power distribution scheme based on the power loss rate of the present invention;

[0080] Fig. 9The present invention is a flow chart of modifying and adjusting a characteristic power distribution scheme to obtain a target power distribution scheme. DETAILED DESCRIPTION

[0081] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0082] Reference Figure 1 As shown, a distributed energy management method based on itemized metering analysis includes:

[0083] Determine at least one energy consumption item for itemized measurement and establish a consumption habit model for the energy consumption item;

[0084] Acquire a spatial distribution location set of energy consumption items, the spatial distribution location set consisting of at least one user address;

[0085] Evenly divide the daily time to obtain at least one power consumption interval, and form priority coefficients of energy consumption items within the power consumption interval;

[0086] Acquire at least one local energy supply device constituting distributed energy, acquire an upper limit of energy supply of the local energy supply device within a power consumption interval, and acquire a location of the local energy supply device;

[0087] Obtain the transmission line with the smallest power loss from the local energy supply equipment to the user address as the target transmission line;

[0088] Based on the priority coefficient, at least one preliminary power allocation plan is formed within the power consumption interval;

[0089] Based on the power loss rate, calculating the total power loss value of the reserve power allocation scheme, and selecting the reserve power allocation scheme with the smallest total power loss value as the characteristic power allocation scheme;

[0090] Based on the detection of energy gap, the characteristic power allocation plan is corrected and adjusted to obtain the target power allocation plan;

[0091] Use the target power allocation plan to manage energy distribution within the power consumption range.

[0092] When distributed energy is actually used, the electricity consumption habits of energy consumption items change over time. In addition, the urgency of energy consumption items is also different. For example, some are industrial electricity and some are residential electricity. Therefore, their priority is different. When electricity is tight, it is necessary to give priority to powering more important energy consumption items. In addition, since the power supply needs to be transmitted through wires, when the transmission line is relatively large, the material of the line is different, the resistance at the same distance is also different, and the loss rate will be different accordingly. If you want to perform optimal transmission here, you cannot simply consider the distance. You need to use other methods to obtain the power distribution plan with the least loss. On the other hand, due to the loss, a small part of the distributed electricity will be lost. Therefore, there is a certain deviation from the actual demand. Therefore, when the electricity is sufficient, compensation is needed. In this solution, corresponding algorithms are set for all the above-mentioned situations for targeted solutions.

[0093] Reference Figure 2 As shown, determining at least one energy consumption item for itemized metering and establishing a consumption habit model for the energy consumption item includes the following steps:

[0094] Acquire at least one usage of energy, cluster the at least one usage based on a clustering algorithm, and obtain at least one energy consumption item, where the energy consumption item is composed of the usage;

[0095] At least one sampling point is evenly set in the daily time, the consumption speed of the energy consumption item at a time equal to the value at the sampling point in at least one day is obtained, and the average of at least one consumption speed is taken to obtain an average consumption speed;

[0096] The values ​​at the sampling points are paired and fitted with the average consumption speed to obtain the consumption fitting function. The consumption fitting function corresponds to the energy consumption items one by one, where the values ​​at the sampling points are the independent variables and the average consumption speed is the dependent variable.

[0097] Each energy consumption item consumes electricity at different speeds at different times. Therefore, it is necessary to characterize the consumption, determine the electricity consumption of the energy consumption item within the electricity consumption range, and allocate electricity based on the electricity consumption.

[0098] Reference Figure 3 As shown, obtaining a set of spatial distribution locations of energy consumption items includes the following steps:

[0099] Obtain at least one candidate location that generates energy consumption, and obtain the total duration of energy consumption generated by the candidate location in a year as a characteristic duration;

[0100] Use the energy probability formula to calculate the energy consumption probability of the alternative locations;

[0101] The candidate location with an energy consumption probability greater than a preset value is used as the user address;

[0102] Obtaining the energy usage of the user address, matching the user address with the energy consumption item including the usage of the user address, and summarizing the user addresses corresponding to the energy consumption items into a spatial distribution location set;

[0103] The energy probability formula is as follows:

[0104] Among them, A is the probability of energy consumption and a is the characteristic time.

[0105] When conducting statistics, the main locations where electricity is consumed are marked as user addresses, and locations where consumption is rarely generated are not taken into account. This has little impact on the overall power supply and can effectively reduce the number of participating user addresses, thereby reducing the computing load and improving operating efficiency.

[0106] Reference Figure 4 As shown, forming the priority coefficients of energy consumption items within the electricity consumption interval includes the following steps:

[0107] Obtain at least one power gap situation of an energy consumption item within the power consumption interval, where the power gap situation is composed of the power gap amount and the economic loss cost caused by the gap;

[0108] Use the power gap formula to calculate the unit gap cost of the power gap situation;

[0109] The unit gap cost of at least one power gap situation is averaged to obtain the priority coefficient of the energy consumption project;

[0110] The formula for the power gap is as follows:

[0111] Among them, B is the unit gap cost, b is the economic loss cost caused by the gap, and c is the amount of electricity gap.

[0112] The priority coefficient determines the electricity priority of energy-consuming items. The electricity priority of energy-consuming items is different in different electricity consumption intervals. Therefore, it is necessary to form a priority coefficient for energy-consuming items in each electricity consumption interval. Then, within the electricity consumption interval, the energy-consuming items can be sorted according to the priority coefficient, and electricity can be supplied to the energy-consuming items in the order of arrangement. This is very necessary when electricity is insufficient. The priority coefficient is determined by the unit gap cost, which is in line with common sense, because when the loss of the gap is greater, it must be met first.

[0113] Reference Figure 5As shown, obtaining the transmission line with the minimum power loss from the local energy supply equipment to the user address as the target transmission line includes the following steps:

[0114] Obtain at least one power transmission line from the local energy supply device to the user address, and obtain the power loss rate of the power transmission line;

[0115] The transmission line with the smallest power loss rate is selected as the target transmission line.

[0116] Reference Figure 6 As shown, obtaining the power loss rate of the transmission line includes the following steps:

[0117] Evenly divide the transmission line into at least one transmission block, and obtain the resistance of the transmission block;

[0118] Obtaining a resistance value range of the power transmission block, dividing the resistance value range into equal intervals, and obtaining at least one identification point;

[0119] Obtain a transmission line whose resistance is equal to the value at the identification point as a characteristic line;

[0120] Use preset energy to transmit in the characteristic line, and obtain the energy after the characteristic line is transmitted as the characteristic energy;

[0121] The characteristic energy is divided by the preset energy to obtain the characteristic ratio;

[0122] The value at the identification point is paired with the characteristic proportion and fitted to obtain a loss fitting function, wherein the value at the identification point is the independent variable and the characteristic proportion is the dependent variable;

[0123] Substitute the resistance of the transmission block into the loss fitting function to obtain the local loss rate;

[0124] The local loss rate of at least one transmission block is multiplied to obtain the power loss rate of the transmission line.

[0125] Since the actual transmission line structure is relatively large, different lines have different resistance values ​​per unit length. Therefore, the loss is not proportional to the distance. Therefore, it is impossible to obtain the target transmission line by obtaining the shortest path. It is necessary to calculate the power loss rate of the transmission line and then screen the target transmission line. For this purpose, a loss fitting function is formed. The loss fitting function can predict the loss of transmission blocks with different resistance values. Since the transmission blocks are connected in series, the power will be lost one by one by the transmission blocks. Therefore, the power loss rate is the result of the local loss rate of the transmission block.

[0126] Reference Figure 7 As shown, based on the priority coefficient, forming at least one reserve power allocation scheme within the power consumption interval includes the following steps:

[0127] In the electricity consumption interval, the consumption fitting function corresponding to the energy consumption item is integrated to obtain the energy consumption value, and the energy consumption value corresponds to the energy consumption item;

[0128] Evenly divide the energy consumption value into at least one local energy block, and the size of the local energy block is a preset energy value;

[0129] According to the priority coefficients of the energy consumption items, the energy consumption items are sorted from large to small to obtain a sequence of energy consumption items;

[0130] Evenly divide the upper limit of energy supply of the local energy supply equipment within the power consumption interval to obtain at least one local energy supply block, and the size of the local energy supply block is a preset energy value;

[0131] According to the sequence of energy consumption items, the energy partial blocks of the energy consumption items are randomly paired with the energy supply partial blocks, and it is satisfied that the energy partial blocks are paired with at most one energy supply partial block;

[0132] Each pairing scheme of the energy partial block of the energy consumption item and the energy supply partial block respectively forms a preliminary power distribution scheme in which the energy supply partial block is supplied to the paired energy partial block.

[0133] Since the energy consumption value of the energy consumption item is not equal to the upper limit of the energy supply of the local energy supply equipment within the power consumption range, the energy local block and the energy supply local block are divided so that the size is the same, and then the two are matched so that the energy supply local block supplies power to the corresponding energy local block. When matching, priority is given to the size of the priority coefficient of the energy consumption item in which the energy local block is located, and then each correspondence will form a preliminary power distribution plan. However, it should be noted that the energy local block can be paired with at most one energy supply local block. When distributing power, repeated correspondence will cause waste. Therefore, the energy local block can only correspond to one energy supply local block, but there is a shortage of power. Therefore, some energy local blocks cannot find the energy supply local block to match them. Therefore, the energy local block can be paired with at most one energy supply local block.

[0134] Reference Figure 8 As shown, based on the power loss rate, calculating the total power loss value of the preliminary power distribution plan includes the following steps:

[0135] In the preliminary power distribution plan, a user address where the energy local block of the energy consumption item is located is obtained, and a target transmission line between the user address where the energy local block of the energy consumption item is located and a local energy supply device where the energy supply local block paired with the energy local block of the energy consumption item is located is obtained as a characteristic transmission line;

[0136] The power loss rate of at least one characteristic power transmission line is multiplied by a preset energy value and then accumulated to obtain a total power loss value of the reserve power distribution scheme.

[0137] Different allocation schemes of the reserve power distribution scheme have different transmission lines, resulting in different overall losses. In order to reduce the loss of the scheme, it is necessary to calculate the total power loss of the reserve power distribution scheme in order to screen the optimal scheme.

[0138] Reference Fig. 9 As shown, the characteristic power distribution scheme is corrected and adjusted to obtain the target power distribution scheme, including the following steps:

[0139] When there is no energy supply local block that is not paired with the energy local block in the characteristic power allocation scheme, the characteristic power allocation scheme is used as the target power allocation scheme;

[0140] When there is an energy supply local block in the characteristic power distribution scheme that is not paired with an energy local block, the unpaired energy supply local block is used as the characteristic energy supply local block;

[0141] Obtaining the total number of energy local blocks, evenly dividing the characteristic energy supply local block into at least one target small block, the number of the characteristic energy supply local block divided is equal to the total number of energy local blocks;

[0142] At least one target small block of the characteristic energy supply local block is respectively delivered to the user address where the energy local block is located, and the delivery process is supplemented to the characteristic power distribution plan to obtain a target power distribution plan.

[0143] Due to the loss, the power allocation of the characteristic power distribution scheme is insufficient, but when the power is insufficient, the deficiency can be ignored. However, when the power is sufficient, in order to ensure the quality of power supply, the characteristic power distribution scheme needs to be supplemented. Therefore, the characteristic energy supply local blocks are evenly divided and distributed, which can make up for the power supply shortage caused by the lost power to a certain extent.

[0144] A distributed energy management system based on itemized metering analysis is used to implement the above-mentioned distributed energy management method based on itemized metering analysis, comprising:

[0145] An itemized metering module, the itemized metering module determines at least one energy consumption item for itemized metering and establishes a consumption habit model of the energy consumption item;

[0146] A location acquisition module, wherein the location acquisition module acquires a spatial distribution location set of energy consumption items, wherein the spatial distribution location set is composed of at least one user address;

[0147] An electricity consumption classification module, wherein the electricity consumption classification module divides the daily time evenly to obtain at least one electricity consumption interval and forms a priority coefficient of the energy consumption item within the electricity consumption interval;

[0148] A data acquisition module, wherein the data acquisition module acquires at least one local energy supply device constituting distributed energy, acquires an upper limit of energy supply of the local energy supply device within a power consumption interval, and acquires a location of the local energy supply device;

[0149] An electric loss acquisition module, wherein the electric loss acquisition module acquires a transmission line with the smallest electric loss from a local energy supply device to a user address as a target transmission line;

[0150] A plan forming module, wherein the plan forming module forms at least one preliminary power distribution plan within the power consumption interval based on the priority coefficient;

[0151] A scheme screening module, wherein the scheme screening module calculates the total power loss value of the reserve power allocation scheme based on the power loss rate, and selects the reserve power allocation scheme with the smallest total power loss value as the characteristic power allocation scheme;

[0152] A scheme adjustment module, wherein the scheme adjustment module corrects and adjusts the characteristic power allocation scheme based on the detection of the energy gap to obtain a target power allocation scheme;

[0153] An energy management module is used to manage energy distribution within a power consumption interval using a target power distribution scheme.

[0154] Furthermore, the present solution also proposes a storage medium on which a computer-readable program is stored, and when the computer-readable program is called, the above-mentioned distributed energy management method based on item-by-item metering analysis is executed.

[0155] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0156] To sum up, the advantages of the present invention are: by setting up an electricity classification module, an electricity loss acquisition module, a plan formation module and a plan adjustment module, the consumption habits of energy consumption items are analyzed, and priority coefficients of energy consumption items are formed within the electricity consumption range. Energy is allocated preferentially according to the priority coefficients to ensure that more important energy consumption items are met first. At the same time, when allocating, the problem of transmission loss is taken into account, and the total value of electricity loss in the power distribution is minimized as much as possible. Finally, considering the problem of loss, when electricity is sufficient, supplementary electricity allocation is carried out. Thus, the target power allocation plan obtained can meet the electricity demand more reasonably and ensure less loss.

[0157] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A distributed energy management method based on itemized metering analysis, characterized in that: include: Determine at least one energy consumption item for itemized measurement and establish a consumption habit model for the energy consumption item; Acquire a spatial distribution location set of energy consumption items, the spatial distribution location set consisting of at least one user address; Evenly divide the daily time to obtain at least one power consumption interval, and form priority coefficients of energy consumption items within the power consumption interval; Acquire at least one local energy supply device constituting distributed energy, acquire an upper limit of energy supply of the local energy supply device within a power consumption interval, and acquire a location of the local energy supply device; Obtain the transmission line with the smallest power loss from the local energy supply equipment to the user address as the target transmission line; Based on the priority coefficients, at least one preliminary power allocation plan is formed within the power consumption interval; Based on the power loss rate, calculating the total power loss value of the reserve power allocation scheme, and selecting the reserve power allocation scheme with the smallest total power loss value as the characteristic power allocation scheme; Based on the detection of energy gap, the characteristic power allocation plan is corrected and adjusted to obtain the target power allocation plan; Use the target power allocation plan to manage energy distribution within the power consumption range; The step of determining at least one energy consumption item for item-by-item metering and establishing a consumption habit model for the energy consumption item comprises the following steps: Acquire at least one usage of energy, cluster the at least one usage based on a clustering algorithm, and obtain at least one energy consumption item, where the energy consumption item is composed of the usage; At least one sampling point is evenly set in the daily time, the consumption speed of the energy consumption item at a time equal to the value at the sampling point in at least one day is obtained, and the average of at least one consumption speed is taken to obtain an average consumption speed; The values ​​at the sampling points are paired and fitted with the average consumption speed to obtain the consumption fitting function, which corresponds to the energy consumption items one by one, where the values ​​at the sampling points are the independent variables and the average consumption speed is the dependent variable; The forming of the priority coefficients of the energy consumption items within the electricity consumption interval comprises the following steps: Obtain at least one power gap situation of an energy consumption item within the power consumption interval, where the power gap situation is composed of the power gap amount and the economic loss cost caused by the gap; Use the power gap formula to calculate the unit gap cost of the power gap situation; The unit gap cost of at least one power gap situation is averaged to obtain the priority coefficient of the energy consumption project; The formula for the power gap is as follows: Among them, B is the unit gap cost, b is the economic loss cost caused by the gap, and c is the amount of electricity gap; The step of forming at least one backup power distribution scheme within the power consumption interval based on the priority coefficient comprises the following steps: In the electricity consumption interval, the consumption fitting function corresponding to the energy consumption item is integrated to obtain the energy consumption value, and the energy consumption value corresponds to the energy consumption item; Evenly divide the energy consumption value into at least one local energy block, and the size of the local energy block is a preset energy value; According to the priority coefficients of the energy consumption items, the energy consumption items are sorted from large to small to obtain a sequence of energy consumption items; Evenly divide the upper limit of energy supply of the local energy supply equipment within the power consumption interval to obtain at least one local energy supply block, and the size of the local energy supply block is a preset energy value; According to the sequence of energy consumption items, the energy partial blocks of the energy consumption items are randomly paired with the energy supply partial blocks, and it is satisfied that the energy partial blocks are paired with at most one energy supply partial block; Each pairing scheme of the energy partial block of the energy consumption item and the energy supply partial block respectively forms a reserve power distribution scheme in which the energy supply partial block is supplied to the paired energy partial block.

2. A distributed energy management method based on itemized metering analysis according to claim 1, characterized in that: The step of obtaining a spatial distribution location set of energy consumption items comprises the following steps: Obtain at least one candidate location that generates energy consumption, and obtain the total duration of energy consumption generated by the candidate location in a year as a characteristic duration; Use the energy probability formula to calculate the energy consumption probability of the alternative locations; The candidate location with an energy consumption probability greater than a preset value is used as the user address; Obtaining energy usage of a user address, matching the user address with an energy consumption item including the usage of the user address, and summarizing the user addresses corresponding to the energy consumption items into a spatial distribution location set; The energy probability formula is as follows: Among them, A is the probability of energy consumption and a is the characteristic duration.

3. A distributed energy management method based on itemized metering analysis according to claim 2, characterized in that: The method of obtaining the transmission line with the minimum power loss from the local energy supply device to the user address as the target transmission line includes the following steps: Obtain at least one power transmission line from the local energy supply device to the user address, and obtain the power loss rate of the power transmission line; The transmission line with the smallest power loss rate is selected as the target transmission line.

4. A distributed energy management method based on itemized metering analysis according to claim 3, characterized in that: The method for obtaining the power loss rate of the transmission line comprises the following steps: Evenly divide the transmission line into at least one transmission block, and obtain the resistance of the transmission block; Obtaining a resistance value range of the power transmission block, dividing the resistance value range into equal intervals, and obtaining at least one identification point; Obtain a transmission line whose resistance is equal to the value at the identification point as a characteristic line; Use preset energy to transmit in the characteristic line, and obtain the energy after the characteristic line is transmitted as the characteristic energy; The characteristic energy is divided by the preset energy to obtain the characteristic ratio; The value at the identification point is paired with the characteristic proportion and fitted to obtain a loss fitting function, wherein the value at the identification point is the independent variable and the characteristic proportion is the dependent variable; Substitute the resistance of the transmission block into the loss fitting function to obtain the local loss rate; The local loss rate of at least one transmission block is multiplied to obtain the power loss rate of the transmission line.

5. A distributed energy management method based on itemized metering analysis according to claim 4, characterized in that: The method of calculating the total power loss value of the preliminary power distribution scheme based on the power loss rate comprises the following steps: In the preliminary power distribution plan, a user address where the energy local block of the energy consumption item is located is obtained, and a target transmission line between the user address where the energy local block of the energy consumption item is located and a local energy supply device where the energy supply local block paired with the energy local block of the energy consumption item is located is obtained as a characteristic transmission line; The power loss rate of at least one characteristic power transmission line is multiplied by a preset energy value and then accumulated to obtain a total power loss value of the reserve power distribution scheme.

6. A distributed energy management method based on itemized metering analysis according to claim 5, characterized in that: The method of correcting and adjusting the characteristic power distribution scheme to obtain the target power distribution scheme comprises the following steps: When there is no energy supply local block that is not paired with the energy local block in the characteristic power allocation scheme, the characteristic power allocation scheme is used as the target power allocation scheme; When there is an energy supply local block in the characteristic power distribution scheme that is not paired with an energy local block, the unpaired energy supply local block is used as the characteristic energy supply local block; Obtaining the total number of energy local blocks, evenly dividing the characteristic energy supply local block into at least one target small block, the number of the characteristic energy supply local block divided is equal to the total number of energy local blocks; At least one target small block of the characteristic energy supply local block is respectively delivered to the user address where the energy local block is located, and the delivery process is supplemented to the characteristic power distribution plan to obtain a target power distribution plan.

7. A distributed energy management system based on itemized metering analysis, used to implement the distributed energy management method based on itemized metering analysis as described in any one of claims 1 to 6, characterized in that: include: An itemized metering module, the itemized metering module determines at least one energy consumption item for itemized metering and establishes a consumption habit model of the energy consumption item; A location acquisition module, wherein the location acquisition module acquires a spatial distribution location set of energy consumption items, wherein the spatial distribution location set is composed of at least one user address; An electricity consumption classification module, wherein the electricity consumption classification module divides the daily time evenly to obtain at least one electricity consumption interval and forms a priority coefficient of the energy consumption item within the electricity consumption interval; A data acquisition module, wherein the data acquisition module acquires at least one local energy supply device constituting distributed energy, acquires an upper limit of energy supply of the local energy supply device within a power consumption interval, and acquires a location of the local energy supply device; An electric loss acquisition module, wherein the electric loss acquisition module acquires a transmission line with the smallest electric loss from a local energy supply device to a user address as a target transmission line; A plan forming module, wherein the plan forming module forms at least one preliminary power distribution plan within the power consumption interval based on the priority coefficient; A scheme screening module, wherein the scheme screening module calculates the total power loss value of the reserve power allocation scheme based on the power loss rate, and selects the reserve power allocation scheme with the smallest total power loss value as the characteristic power allocation scheme; A scheme adjustment module, wherein the scheme adjustment module corrects and adjusts the characteristic power allocation scheme based on the detection of the energy gap to obtain a target power allocation scheme; An energy management module is used to manage energy distribution within a power consumption interval using a target power distribution scheme.

Images