Multi-index-based power supply access position evaluation method and device, equipment and medium

Abstract

The invention provides a multi-index-based power supply access position evaluation method and device, equipment and a medium, and relates to the field of power grid planning. According to the method, evaluation index weights of three factors including voltage deviation, branch line loss and local load of each power supply access node in a target power grid are calculated, and weighted calculation is performed on the evaluation index weights of the three factors to serve as access evaluation indexes for evaluating each power supply access node in the target power grid; the influence of three factors on the target power supply access position is comprehensively considered. Through the access evaluation index of each power supply access node, the optimal target access node can be accurately determined, so that the target power supply is ensured to be accessed to the target power grid in the most effective mode, the target power supply is accessed to the node position which most needs new energy supply in the target power grid, and the utilization efficiency of the distributed power supply is improved.

Description

Technical Field

[0001] The present application relates to the field of power grid planning, and in particular to a method, device, equipment and medium for evaluating power access locations based on multiple indicators. Background Art

[0002] The access of distributed power sources has both advantages and disadvantages for the distribution network. When the access location is reasonable, it can reduce the loss of line transmission and improve the stability of the power grid. However, when the access location is unreasonable, it will endanger the operation of the power grid, such as increased network loss and excessive grid voltage deviation.

[0003] In related technologies, the location selection method for new energy access to the power grid is mostly based on artificial intelligence methods or continuous iterative calculation of each location point to obtain the optimal access point location. For example, Chu Zhuang of Northeast Electric Power University modeled according to the characteristics of wind power generation and stipulated that cost and network loss were the objective functions. Monte Carlo simulation of wind speed was combined with Kmeans clustering algorithm. Ge Shaoyun of Tianjin University used the net profit of the distribution network as the objective function, proposed that the profit of the distribution network should consider the time series, and combined it with the probabilistic flow calculation, and the profit obtained by the scenario analysis method was more accurate. Lou Ningna of Hunan University established the objective function of network loss, and based on the improved artificial bee colony algorithm, the calculation speed was improved. Iranian scholar Abbasi considered the reconstruction optimization of the distribution network. The actual operation of the distribution network may cause changes in the topological results, and its optimal access point will change. Through case analysis, it was found that the change of the reconstruction scheme has a great influence on the location selection results of the distributed power source.

[0004] However, these existing methods generally have problems such as large amount of calculation, complex process and poor practicality, which makes the accuracy of selecting the optimal access point location of new energy low, resulting in low utilization efficiency of new energy after connecting to the power grid.

[0005] Therefore, how to improve the utilization efficiency of distributed power sources has become a technical problem that needs to be solved urgently. Summary of the invention

[0006] The present application provides a method, device, equipment and medium for evaluating the power access location based on multiple indicators, aiming to improve the utilization efficiency of distributed power sources.

[0007] In a first aspect, the present application provides a power access location evaluation method based on multiple indicators, the power access location evaluation method based on multiple indicators comprising the following steps:

[0008] Based on at least one evaluation index data of each power access node in the target power grid, calculating the evaluation index weight corresponding to each evaluation index data, wherein the evaluation index data includes voltage deviation, branch line loss and local load;

[0009] Based on a preset weighted calculation formula, weighted calculation is performed on the evaluation indicator weight corresponding to each of the evaluation indicator data to obtain the access evaluation indicator of each of the power access nodes;

[0010] Based on the access evaluation index of each of the power access nodes, a target access node is determined, so as to connect the target power source to the target power grid through the target access node.

[0011] In a second aspect, the present application further provides a power access location evaluation device based on multiple indicators, the power access location evaluation device based on multiple indicators comprising:

[0012] An evaluation index weight calculation module, used to calculate the evaluation index weight corresponding to each evaluation index data based on at least one evaluation index data of each power access node in the target power grid, wherein the evaluation index data includes voltage deviation, branch line loss and local load;

[0013] An evaluation index weighted calculation module, used to perform weighted calculation on the evaluation index weight corresponding to each evaluation index data based on a preset weighted calculation formula, to obtain the access evaluation index of each power access node;

[0014] The node determination module is used to determine a target access node based on the access evaluation index of each power access node, so as to connect the target power source to the target power grid through the target access node.

[0015] In a third aspect, the present application also provides a computer device, comprising a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein when the computer program is executed by the processor, the steps of the multi-indicator-based power access location assessment method as described above are implemented.

[0016] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of the above-mentioned multi-indicator-based power access location assessment method are implemented.

[0017] The present application provides a method, device, computer equipment and storage medium for evaluating the power access location based on multiple indicators. The method of the present application includes calculating the evaluation indicator weight corresponding to each evaluation indicator data based on at least one evaluation indicator data of each power access node in the target power grid, wherein the evaluation indicator data includes voltage deviation, branch line loss and local load; based on a preset weighted calculation formula, weighted calculation is performed on the evaluation indicator weight corresponding to each evaluation indicator data to obtain the access evaluation indicator of each power access node; based on the access evaluation indicator of each power access node, the target access node is determined to connect the target power to the target power grid through the target access node. In the above manner, the present application calculates the evaluation indicator weights of the three factors of voltage deviation, branch line loss and local load of each power access node in the target power grid, and performs weighted calculation on the evaluation indicator weights of the three factors as the access evaluation indicator for evaluating each power access node in the target power grid, and comprehensively considers the influence of the three factors on the target power access location. Through the access evaluation indicators of each power access node, the optimal target access node can be accurately determined, thereby ensuring that the target power source is connected to the target power grid in the most efficient way, and connecting the target power source to the node location in the target power grid that most needs new energy supply, thereby improving the utilization efficiency of distributed power sources. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 A flowchart of a first embodiment of a power access location evaluation method based on multiple indicators provided by the present application;

[0020] Figure 2 A flowchart of an extended solution for the first step of a first embodiment of a power access location assessment method based on multiple indicators provided by the present application;

[0021] Figure 3 A schematic diagram of the structure of a power access node in a target power grid provided in an embodiment of the present application;

[0022] Figure 4 A schematic diagram of a power grid topology structure composed of weighted power access nodes provided in an embodiment of the present application;

[0023] Figure 5 A schematic diagram of a calculation process of a target power access position provided in an embodiment of the present application;

[0024] Figure 6 It is a structural schematic diagram of a first embodiment of a power access location assessment device based on multiple indicators provided by the present application;

[0025] Figure 7 It is a schematic block diagram of the structure of a computer device provided in an embodiment of the present application.

[0026] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0028] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0029] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0030] Please refer to Figure 1 , Figure 1 A schematic flow chart of a first embodiment of a power access location assessment method based on multiple indicators provided in the present application.

[0031] like Figure 1 As shown, the power access location evaluation method based on multiple indicators includes steps S101 to S103.

[0032] S101, based on at least one evaluation index data of each power access node in the target power grid, calculating the evaluation index weight corresponding to each evaluation index data, wherein the evaluation index data includes voltage deviation, branch line loss and local load;

[0033] In one embodiment, the evaluation index weights include voltage deviation weights, branch line loss weights, and local load weights.

[0034] Furthermore, if Figure 2 As shown, the step S101 specifically includes steps S201 to S203.

[0035] S201, calculating a voltage deviation weight based on a voltage deviation between a node voltage of each power access node in the target power grid and a reference voltage;

[0036] For example, Figure 3 Taking the power grid shown in the figure as an example, there are 33 power access nodes in the power grid, and each power access node has a corresponding load. The target power source can choose to access one of the power access nodes to achieve the optimal node access.

[0037] In one embodiment, for a target power grid to be connected to a target power source, such as Figure 3 Among the 33 nodes shown, the node closest to the power source of the original power grid can be selected as the reference voltage node, that is, the initial position of the power flow direction of the power grid, such as Figure 3 Node 1 is shown in .

[0038] Furthermore, based on the node voltage of each power access node and the reference voltage of the reference voltage node, the voltage deviation of each power access node is calculated; when the voltage deviation of each power access node is outside a preset voltage deviation threshold range, based on the voltage deviation and the reference voltage, the voltage deviation weight corresponding to each power access node is calculated.

[0039] In one embodiment, the power flow calculation can be performed based on the power grid topology of the target power grid before the target power source is connected to calculate the voltage {U1, U2, ..., U 32 ,U 33}.

[0040] Understandably, power flow calculation is an important part of power system analysis, which involves the calculation of power flow and voltage distribution in the power system. Before the new energy is connected to the power grid, power flow calculation can help predict and evaluate the impact of the new energy access on the power grid and ensure the stable operation of the power grid.

[0041] In one embodiment, a suitable power flow calculation method may be selected according to the scale and complexity of the target power grid, including but not limited to the Newton-Raphson method, the PQ decomposition method, and the DC power flow method.

[0042] In one embodiment, when the voltage of each power access node in the power grid is obtained by power flow calculation, a balance equation of active power and reactive power is established for each power access node. The active power balance equation indicates that the active power injected into the node is equal to the active power demand of the node plus the sum of the active powers of all lines passing through the node. The reactive power balance equation is similar. For each line, a power equation is established to indicate the relationship between the voltage difference at both ends of the line and the impedance and power of the line.

[0043] Exemplarily, when using the power flow calculation method, initial values ​​such as voltage amplitude, voltage phase angle, power flow, etc. can be set for each power access node and line in the target power grid. Using the selected power flow calculation method, the node voltage and line power are gradually adjusted through an iterative process until the power balance and voltage constraints are met. In each iteration, the power imbalance (the difference between the actual power and the required power) of each node is calculated, and the voltage and power flow are adjusted according to the power imbalance.

[0044] In one embodiment, after calculating the node voltages of all power access nodes in the target power grid, the node voltages of all power access nodes except the reference voltage node are subtracted from the reference voltage U1 to obtain the voltage deviation of each power access node:

[0045] ΔU=U i -U1

[0046] Wherein, ΔU represents the voltage deviation, i represents the serial number of the power access node, i=2, 3, ..., 32, 33.

[0047] Furthermore, the device attributes of the target power source are acquired; and based on the device attributes of the target power source, the voltage deviation threshold range of the power source access node is preset.

[0048] Generally, when formulating the voltage deviation threshold range for renewable energy access to the grid, it is necessary to consider the characteristics of renewable energy, such as the randomness and volatility of photovoltaic and wind power generation.

[0049] Exemplarily, the device attributes of the target power source may include the output characteristics of new energy sources (such as the volatility of output power, etc.). The output power of new energy sources such as photovoltaic and wind power generation systems is affected by natural conditions and has randomness and volatility. For example, the output of photovoltaic power sources is basically related to the local light intensity, and is accompanied by randomness and intermittency. This randomness and intermittency will lead to the instability of the grid voltage. Therefore, when formulating the voltage deviation threshold range, the variability of the output of new energy sources needs to be taken into account.

[0050] In one embodiment, a voltage deviation threshold range may be formulated according to the device attributes of the target power source to ensure that the access of the target power source will not have a negative impact on the stability of the target power grid.

[0051] In one embodiment, a voltage deviation threshold range [ΔU min ,ΔU max ], the power access nodes whose voltage deviation is within the voltage deviation threshold range are screened out.

[0052] It can be understood that a power access node with a voltage deviation within the voltage deviation threshold range can be considered normal. However, a power access node with a voltage deviation outside the voltage deviation threshold range (i.e., when the voltage deviation is large) needs to increase the corresponding weight, i.e., the larger the voltage deviation, the higher the weight, and the more power needs to be added to improve the load capacity of the power access node.

[0053] In one embodiment, for a power access node whose voltage deviation is outside the voltage deviation threshold range, the larger the voltage deviation is, the more suitable it is for accessing the new energy source (ie, the target power source).

[0054] In one embodiment, for power access nodes whose voltage deviation is outside the voltage deviation threshold range, the voltage deviation weight W of each power access node is calculated. U,i :

[0055]

[0056] It can be understood that, for a power access node with a voltage deviation outside the voltage deviation threshold range, the farther the power access node is from the source end, the greater the voltage deviation and the greater the voltage deviation weight, which means that the power access node is more suitable for accessing the target power supply to reduce the energy supply from other nodes to the node.

[0057] S202, calculating the branch line loss weight corresponding to each power access node based on the branch line loss of each branch in the target power grid;

[0058] In one embodiment, in the target power grid, two adjacent power access nodes form a branch, such as Figure 3 The power grid shown includes 33 power access nodes, that is, the power grid includes 32 branches, and the branch line loss of each branch is used as the branch line loss weight corresponding to the terminal node of each branch.

[0059] For example, Figure 3 In the power grid shown, power access node 2 and power access node 3 form a branch, which is the second branch in the target power grid, and the branch line loss of the second branch is used as the branch line loss weight of power access node 3.

[0060] Furthermore, the branch line loss of each branch is calculated as the branch line loss of the power access node corresponding to the branch end of each branch; based on the ratio between the branch line loss of each power access node and the total branch line loss of the target power grid, the branch line loss weight of each power access node is obtained.

[0061] Exemplarily, the calculation formula for branch line loss provided in the embodiment of the present application is as follows:

[0062]

[0063] Where N is the total number of branches in the target power grid, the total number of nodes in the target power grid is N+1, and P i , Q i , r i are the active power, reactive power and resistance of the i-th branch respectively, U i+1 is the node voltage of the power access node at the end of the i-th branch.

[0064] In one embodiment, based on the calculated branch line loss of each branch in the target power grid, all branch line losses are added together to obtain the total line loss of the target power grid, and then the branch line loss weight of each branch is calculated.

[0065] In one embodiment, the branch line loss of each branch is used as the line loss data of the power access node at the end of each branch to calculate the branch line loss weight of each power access node.

[0066] Exemplarily, the calculation formula of the branch line loss weight of each power access node is as follows:

[0067]

[0068] Where N is the total number of branches in the target power grid, P loss,i represents the branch line loss of the i-th branch.

[0069] Generally, the greater the branch line loss weight of a power access node, the more suitable the power access node is for access. The specific principle is: due to the large branch line loss, if new energy is connected to the power access node, the energy supply from other power access nodes to the power access node can be reduced.

[0070] Among them, the first power access node in the target power grid has no line loss parameters, and new energy will not be connected at the first power access node.

[0071] S203: Calculate the local load weight of each power access node based on the local load of each power access node.

[0072] In one embodiment, based on the voltage deviation weight and the branch line loss weight, it is possible to preliminarily determine that the branch with more nodes and heavier loads, as well as the farther away nodes in the branch, is easier to determine that the branch and its corresponding farthest node are the nodes that most need new energy access. In addition, the local load situation needs to be further considered. The maximum absorption of local load will be the most ideal access method. Therefore, the local load impact is further calculated.

[0073] In one embodiment, based on the generated power of the target energy and the local load of each power access node, the generation-use ratio of each power access node is calculated; based on the generation-use ratio, the weighting coefficient corresponding to the local load weight in the weighted calculation formula is calculated.

[0074] In one embodiment, the local load of each power access node is first collected. First, the local load of each node {L1, L2, ..., L 32 ,L 33}.

[0075] For example, assuming that the expected power generation of the target power source is P, the power generation-consumption ratio is calculated as:

[0076]

[0077] Among them, λ i represents the power consumption ratio when the i-th power access node is connected to the target power source, L i Represents the local load of the i-th power access node.

[0078] It can be understood that when the power generation is within a certain range, the closer the power generation ratio of the power access node is to 1, the more suitable it is for accessing the target power source. This is because accessing the target power source at the power access node can reduce the power access node's dependence on power sources at other nodes, thereby reducing energy consumption and improving the utilization efficiency of the target power source.

[0079] In one embodiment, according to the generation-consumption ratio of each power access node, the weight coefficient of the local load weight of each power access node in the weighted calculation formula is calculated:

[0080]

[0081] Among them, C i represents the weight coefficient of the local load weight of the i-th power access node in the weighted calculation formula, λ i It represents the generation-to-consumption ratio when the i-th power access node is connected to the target power source.

[0082] In one embodiment, the total local load of the target power grid is calculated based on the local load of each power access node in the target power grid, and then the local load weight of each power access node is calculated based on the total local load and the local load of each power access node.

[0083] Exemplarily, the calculation formula of the local load weight of each power access node is as follows:

[0084]

[0085] Among them, W L,i represents the local load weight, Li represents the local load of the i-th power access node, and M is the total number of power access nodes in the target power grid.

[0086] In one embodiment, the local load weight of the power access node indicates that the power access node is more suitable for accessing the target power source.

[0087] For example, by calculating the voltage deviation weight, branch line loss weight and local load weight of each power access node, Figure 3 The target grid is converted into Figure 4 The grid topology with weights is shown.

[0088] S102, based on a preset weighted calculation formula, performing weighted calculation on the evaluation indicator weight corresponding to each of the evaluation indicator data to obtain an access evaluation indicator of each of the power access nodes;

[0089] In one embodiment, for the i-th power access node, the corresponding voltage deviation weight, branch line loss weight, and local load weight may be weighted and summed to calculate the access evaluation index of the power access node.

[0090] Further, the weighted coefficient corresponding to each of the evaluation index weights is obtained; based on the weighted calculation formula and the weighted coefficient corresponding to each of the evaluation index weights, the voltage deviation weight, the branch line loss weight and the local load weight corresponding to each of the power access nodes are weightedly calculated to obtain the access evaluation index of each of the power access nodes.

[0091] In one embodiment, the weighting coefficients of the voltage deviation weight and the branch line loss weight can be set as fixed coefficients based on expert experience, and the weighting coefficient of the local load weight can be calculated based on the generation-consumption ratio when the power access node is connected to the target power source. Therefore, the weighting coefficient of the local load weight of each power access node is different.

[0092] Exemplarily, as mentioned above, the weighting coefficient of the local load weight can be expressed as Therefore, when the generation-consumption ratio of a certain power access node is closer to 1, the weighting coefficient of the local load weight of the power access node is larger.

[0093] For example, the weighted calculation formula may be defined as follows:

[0094]

[0095] Among them, A is the weighting coefficient of voltage deviation weight, B is the weighting coefficient of branch line loss weight, is the weighting factor of the local load weight. W U,irepresents the voltage deviation weight of the i-th power access node, W loss,i represents the branch line loss weight of the i-th branch, W L,i Represents the local load weight of the i-th power access node.

[0096] In one embodiment, for the i-th power access node, its access evaluation index L i The larger the value of is, the more suitable the power access node is for accessing the target power source.

[0097] S103: Determine a target access node based on the access evaluation index of each of the power access nodes, so as to connect a target power source to the target power grid through the target access node.

[0098] In one embodiment, if Figure 5 As shown, by calculating the voltage deviation weight, branch line loss weight and local load weight of each power access node, and then calculating the access evaluation index (the comprehensive index described in the figure) of each power access node according to the three weights, the power access node with the largest access evaluation index value is determined. Because this power access node meets the three factors of large comprehensive line loss, large voltage deviation and large local load absorption, this power access node can be used as the best location point for connecting the target power source (the new energy described in the figure) to the target power grid, so as to make full use of the output performance of the target power source and improve the utilization rate of the target power source.

[0099] This embodiment provides a method for evaluating the power access location based on multiple indicators. The method of this application calculates the evaluation indicator weights of the three factors of voltage deviation, branch line loss and local load of each power access node in the target power grid, and performs weighted calculation on the evaluation indicator weights of the three factors as the access evaluation indicator for evaluating each power access node in the target power grid, and comprehensively considers the impact of the three factors on the target power access location. Through the access evaluation indicators of each power access node, the optimal target access node can be accurately determined, thereby ensuring that the target power source is connected to the target power grid in the most efficient way, and connecting the target power source to the node position in the target power grid that most needs new energy supply, thereby improving the utilization efficiency of distributed power sources.

[0100] See also Figure 6 , Figure 6 It is a structural schematic diagram of a first embodiment of a power access location assessment device based on multiple indicators provided in the present application, and the power access location assessment device based on multiple indicators is used to execute the aforementioned power access location assessment method based on multiple indicators.

[0101] like Figure 6As shown, the power access location assessment device 300 based on multiple indicators includes: an assessment indicator weight calculation module 301, an assessment indicator weight calculation module 302 and a node determination module 303.

[0102] An evaluation index weight calculation module 301 is used to calculate the evaluation index weight corresponding to each evaluation index data based on at least one evaluation index data of each power access node in the target power grid, wherein the evaluation index data includes voltage deviation, branch line loss and local load;

[0103] An evaluation index weighted calculation module 302 is used to perform weighted calculation on the evaluation index weight corresponding to each evaluation index data based on a preset weighted calculation formula to obtain the access evaluation index of each power access node;

[0104] The node determination module 303 is used to determine a target access node based on the access evaluation index of each of the power access nodes, so as to connect the target power source to the target power grid through the target access node.

[0105] In one embodiment, the evaluation index weight calculation module 301 includes:

[0106] A voltage deviation weight calculation submodule, used to calculate a voltage deviation weight based on a voltage deviation between a node voltage of each power access node in the target power grid and a reference voltage;

[0107] A branch line loss weight calculation submodule, used to calculate the branch line loss weight corresponding to each power access node based on the branch line loss of each branch in the target power grid;

[0108] The local load weight calculation submodule is used to calculate the local load weight of each power access node based on the local load of each power access node.

[0109] In one embodiment, the multi-index-based power access location assessment device 300 further includes:

[0110] A generation-use ratio calculation unit, configured to calculate the generation-use ratio of each power access node based on the power generation power of the target energy source and the local load of each power access node;

[0111] A weighted coefficient calculation unit is used to calculate the weighted coefficient corresponding to the local load weight in the weighted calculation formula based on the generation-consumption ratio.

[0112] In one embodiment, the branch line loss weight calculation submodule includes:

[0113] A branch line loss calculation unit, used to calculate the branch line loss of each branch as the branch line loss of the power access node corresponding to the branch end of each branch;

[0114] The branch line loss weight calculation unit is used to obtain the branch line loss weight of each power access node based on the ratio between the branch line loss of each power access node and the total branch line loss of the target power grid.

[0115] In one embodiment, the voltage deviation weight calculation submodule includes:

[0116] A voltage deviation calculation unit, configured to calculate a voltage deviation of each of the power access nodes based on a node voltage of each of the power access nodes and a reference voltage of a reference voltage node;

[0117] The voltage deviation weight calculation unit is used to calculate the voltage deviation weight corresponding to each power access node based on the voltage deviation and the reference voltage when the voltage deviation of each power access node is outside a preset voltage deviation threshold range.

[0118] In one embodiment, the voltage deviation weight calculation submodule further includes:

[0119] A device attribute acquisition unit, used to acquire device attributes of a target power source;

[0120] The voltage deviation threshold range calculation unit is used to preset the voltage deviation threshold range of the power access node based on the device attributes of the target power source.

[0121] In one embodiment, the evaluation index weighted calculation module 302 includes:

[0122] A weighting coefficient acquisition unit, used to acquire the weighting coefficient corresponding to the weight of each evaluation indicator;

[0123] A weighted calculation unit is used to perform weighted calculation on the voltage deviation weight, the branch line loss weight and the local load weight corresponding to each power access node based on the weighted calculation formula and the weighted coefficient corresponding to each evaluation index weight, so as to obtain the access evaluation index of each power access node.

[0124] It should be noted that technicians in the relevant field can clearly understand that for the convenience and conciseness of description, the specific working process of the above-described device and each module can refer to the corresponding process in the aforementioned multi-indicator-based power access location evaluation method embodiment, and will not be repeated here.

[0125] The apparatus provided in the above embodiment may be implemented in the form of a computer program. The computer program may be Figure 7 Runs on the computer device shown.

[0126] See also Figure 7 , Figure 7 1 is a schematic block diagram of a computer device provided in an embodiment of the present application. The computer device may be a server.

[0127] See also Figure 7 The computer device includes a processor, a memory and a network interface connected through a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0128] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any power access location assessment method based on multiple indicators.

[0129] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0130] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any power access location evaluation method based on multiple indicators.

[0131] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0132] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0133] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

[0134] Based on at least one evaluation index data of each power access node in the target power grid, calculating the evaluation index weight corresponding to each evaluation index data, wherein the evaluation index data includes voltage deviation, branch line loss and local load;

[0135] Based on a preset weighted calculation formula, weighted calculation is performed on the evaluation indicator weight corresponding to each of the evaluation indicator data to obtain the access evaluation indicator of each of the power access nodes;

[0136] Based on the access evaluation index of each of the power access nodes, a target access node is determined, so as to connect the target power source to the target power grid through the target access node.

[0137] In one embodiment, when the processor implements the at least one evaluation index data based on each power access node in the target power grid and calculates the evaluation index weight corresponding to each evaluation index data, it is used to implement:

[0138] Calculating a voltage deviation weight based on a voltage deviation between a node voltage of each power access node in the target power grid and a reference voltage;

[0139] Based on the branch line loss of each branch in the target power grid, calculating the branch line loss weight corresponding to each power access node;

[0140] Based on the local load of each power access node, a local load weight of each power access node is calculated.

[0141] In one embodiment, before the processor implements the preset weighted calculation formula to perform weighted calculation on the evaluation indicator weight corresponding to each evaluation indicator data to obtain the access evaluation indicator of each power access node, it is also used to implement:

[0142] Calculating the generation-use ratio of each power access node based on the generated power of the target energy and the local load of each power access node;

[0143] Based on the generation-consumption ratio, a weighting coefficient corresponding to the local load weight in a weighted calculation formula is calculated.

[0144] In one embodiment, when the processor implements the calculation of the branch line loss weight corresponding to each of the power access nodes based on the branch line loss of each branch in the target power grid, it is used to implement:

[0145] Calculating the branch line loss of each branch as the branch line loss of the power access node corresponding to the branch end of each branch;

[0146] Based on the ratio between the branch line loss of each power access node and the total branch line loss of the target power grid, the branch line loss weight of each power access node is obtained.

[0147] In one embodiment, when the processor implements the voltage deviation based on the node voltage of each power access node in the target power grid and the reference voltage and calculates the voltage deviation weight, it is used to implement:

[0148] Calculating a voltage deviation of each power access node based on a node voltage of each power access node and a reference voltage of a reference voltage node;

[0149] When the voltage deviation of each of the power access nodes is outside a preset voltage deviation threshold range, the voltage deviation weight corresponding to each of the power access nodes is calculated based on the voltage deviation and the reference voltage.

[0150] In one embodiment, the processor is further used to implement, before implementing, when the voltage deviation of each of the power access nodes is outside a preset voltage deviation threshold range, calculating the voltage deviation weight corresponding to each of the power access nodes based on the voltage deviation and the reference voltage:

[0151] Get the device properties of the target power supply;

[0152] The voltage deviation threshold range of the power access node is preset based on the device attribute of the target power source.

[0153] In one embodiment, when the processor implements the preset weighted calculation formula, performs weighted calculation on the evaluation indicator weight corresponding to each evaluation indicator data, and obtains the access evaluation indicator of each power access node, it is used to implement:

[0154] Obtaining weighting coefficients corresponding to the weights of the evaluation indicators;

[0155] Based on the weighted calculation formula and the weighted coefficient corresponding to each of the evaluation index weights, the voltage deviation weight, the branch line loss weight, and the local load weight corresponding to each of the power access nodes are weightedly calculated to obtain the access evaluation index of each of the power access nodes.

[0156] A computer-readable storage medium is also provided in an embodiment of the present application, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and the processor executes the program instructions to implement any of the multi-indicator-based power access location assessment methods provided in the embodiments of the present application.

[0157] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc., equipped on the computer device.

[0158] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A power access location evaluation method based on multiple indicators, characterized in that: The method comprises: Based on at least one evaluation index data of each power access node in the target power grid, calculating the evaluation index weight corresponding to each evaluation index data, wherein the evaluation index data includes voltage deviation, branch line loss and local load; Based on a preset weighted calculation formula, weighted calculation is performed on the evaluation indicator weight corresponding to each of the evaluation indicator data to obtain the access evaluation indicator of each of the power access nodes; Based on the access evaluation index of each of the power access nodes, a target access node is determined, so as to connect the target power source to the target power grid through the target access node.

2. The power access location evaluation method based on multiple indicators according to claim 1 is characterized in that: The step of calculating the evaluation index weight corresponding to each evaluation index data based on at least one evaluation index data of each power access node in the target power grid includes: Calculating a voltage deviation weight based on a voltage deviation between a node voltage of each power access node in the target power grid and a reference voltage; Based on the branch line loss of each branch in the target power grid, calculating the branch line loss weight corresponding to each power access node; Based on the local load of each power access node, a local load weight of each power access node is calculated.

3. The power access location evaluation method based on multiple indicators according to claim 2 is characterized in that: The method further comprises: performing weighted calculation on the evaluation index weight corresponding to each evaluation index data based on a preset weighted calculation formula to obtain the access evaluation index of each power access node; Calculating the generation-use ratio of each power access node based on the generated power of the target energy and the local load of each power access node; Based on the generation-consumption ratio, a weighting coefficient corresponding to the local load weight in a weighted calculation formula is calculated.

4. The method for evaluating power access location based on multiple indicators according to claim 2, characterized in that: The calculating, based on the branch line loss of each branch in the target power grid, the branch line loss weight corresponding to each power access node includes: Calculating the branch line loss of each branch as the branch line loss of the power access node corresponding to the branch end of each branch; Based on the ratio between the branch line loss of each power access node and the total branch line loss of the target power grid, the branch line loss weight of each power access node is obtained.

5. The method for evaluating power access location based on multiple indicators according to claim 2, characterized in that: The step of calculating the voltage deviation weight based on the voltage deviation between the node voltage of each power access node in the target power grid and the reference voltage includes: Calculating a voltage deviation of each power access node based on a node voltage of each power access node and a reference voltage of a reference voltage node; When the voltage deviation of each of the power access nodes is outside a preset voltage deviation threshold range, the voltage deviation weight corresponding to each of the power access nodes is calculated based on the voltage deviation and the reference voltage.

6. The method for evaluating power access location based on multiple indicators according to claim 5, characterized in that: When the voltage deviation of each power access node is outside a preset voltage deviation threshold range, before calculating the voltage deviation weight corresponding to each power access node based on the voltage deviation and the reference voltage, the method further includes: Get the device properties of the target power supply; The voltage deviation threshold range of the power access node is preset based on the device attribute of the target power source.

7. The method for evaluating power access location based on multiple indicators according to claim 1, characterized in that: The step of performing weighted calculation on the evaluation indicator weights corresponding to the evaluation indicator data based on a preset weighted calculation formula to obtain the access evaluation indicator of each power access node includes: Obtaining weighting coefficients corresponding to the weights of the evaluation indicators; Based on the weighted calculation formula and the weighted coefficients corresponding to the weights of each evaluation index, the voltage deviation weight, the branch line loss weight and the local load weight corresponding to each power access node are weightedly calculated to obtain the access evaluation index of each power access node.

8. A power access location evaluation device based on multiple indicators, characterized in that: The power access location evaluation device based on multiple indicators includes: An evaluation index weight calculation module, used to calculate the evaluation index weight corresponding to each evaluation index data based on at least one evaluation index data of each power access node in the target power grid, wherein the evaluation index data includes voltage deviation, branch line loss and local load; An evaluation index weighted calculation module, used to perform weighted calculation on the evaluation index weight corresponding to each evaluation index data based on a preset weighted calculation formula, to obtain the access evaluation index of each power access node; The node determination module is used to determine a target access node based on the access evaluation index of each of the power access nodes, so as to connect the target power source to the target power grid through the target access node.

9. A computer device, characterized in that: The computer device includes a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein when the computer program is executed by the processor, the steps of the power access location assessment method based on multiple indicators as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps of the power access location assessment method based on multiple indicators as described in any one of claims 1 to 7 are implemented.

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