Power distribution network current protection setting optimization method, system, equipment and medium
By dynamically allocating weighted coefficients and introducing setting value constraints, the problem of insufficient adaptability in the distribution network current protection setting method is solved, adaptive focusing and optimization of key performance are achieved, and the selectivity and coordination of the protection device are improved.
Patent Information
- Application Number
- CN202510852160.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-24
- Publication Date
- 2025-09-12
AI Technical Summary
The existing distribution network current protection setting method lacks adaptive capabilities and is unable to dynamically adjust the optimization focus according to different operating conditions. As a result, the setting results are insufficiently sensitive to key performance and fail to fully reflect the relative importance of various performance indicators, affecting the coordination and selectivity of the protection device.
The method of dynamically determining weighted coefficients is adopted to allocate weights according to the relative sizes of the three performance indicators: speed, sensitivity, and selectivity. Combined with the upper and lower limit constraints of the setting value and the coordination logic of the protection device, the current setting parameters are optimized through the particle swarm algorithm to ensure that the optimization results meet the action logic requirements of the relay protection.
It achieves adaptive focusing and optimization of key performance, enhances the flexibility and accuracy of the model, avoids over-tripping problems, and improves the selectivity and coordination of protection actions.
Smart Images
Figure CN120638232A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of distribution network systems, and in particular to a distribution network current protection setting optimization method, system, equipment and medium. Background Art
[0002] The distribution network is a critical link in the power system, connecting power sources to end users. Its safe and reliable operation is crucial for power quality and continuity. With the increasing complexity of 10kV distribution networks and the widespread adoption of distributed generation (DG) systems, traditional protection setting methods face significant challenges in terms of flexibility and adaptability. In particular, achieving a balance between speed, sensitivity, and selectivity under multi-objective performance requirements has become a key research topic in protection setting optimization.
[0003] Existing tuning optimization methods typically use a weighted objective function with fixed weights for multi-metric evaluation. However, this approach suffers from two shortcomings in practical applications: First, the weight ratios must be set in advance, lacking adaptability and being unable to dynamically adjust optimization priorities based on varying operating conditions; second, they fail to fully reflect the relative importance of each performance indicator, resulting in insufficient sensitivity of the tuning results to key performance indicators. Furthermore, some methods fail to establish a complete tuning constraint system based on the upper and lower limit characteristics and coordination logic of the protection device, limiting the engineering feasibility of the optimization results and the coordination of the protection actions.
[0004] Therefore, the present invention aims to provide a distribution network current protection setting optimization method, system, equipment and medium to solve the above-mentioned related problems. Summary of the Invention
[0005] The technical problem to be solved by the present invention is that the existing technology lacks adaptive capability and is unable to dynamically adjust the optimization focus according to different operating conditions. The purpose is to provide a distribution network current protection setting optimization method, system, equipment and medium. The optimization method provided by the present invention no longer adopts fixed weights, but dynamically determines the weighting coefficient according to the relative size of the three performance indicators of speed, sensitivity and selectivity, realizes the adaptive allocation of indicator weights, realizes the adaptive focus and optimization of key performance, and enhances the flexibility and accuracy of the model; at the same time, the upper and lower limit constraints of the setting value, the intra-segment coordination constraints and the upper and lower protection coordination constraints are introduced to ensure that the optimization results meet the action logic requirements of the relay protection, effectively avoid the problem of over-tripping, and improve the selectivity and coordination of the protection action, thereby solving the problem that the existing technology lacks adaptive capability and is unable to dynamically adjust the optimization focus according to different operating conditions.
[0006] The present invention is achieved through the following technical solutions: A distribution network current protection setting optimization method, the method comprising: Randomly generating multiple sets of current setting parameters for current protection sections of the distribution network, wherein the current setting parameters include current setting values and time setting values; Constructing a first mapping function between the speed index of the distribution network current protection section and the short-circuit current protection action time and time setting value; constructing a second mapping function between the sensitivity index of the distribution network current protection section and the short-circuit current value and current setting value; constructing a third mapping function between the selectivity index of the distribution network current protection section and the maximum short-circuit current and setting current value at the end of the short-circuit current protection line; Based on pre-established constraints, a particle swarm algorithm is used to randomly select multiple sets of current setting parameters. The random selection results and the current short-circuit current protection action time are input into a first mapping function. The random selection results and the current short-circuit current value are input into a second mapping function. The random selection results and the current maximum short-circuit current at the end of the short-circuit current protection line are input into a third mapping function. The speed index, sensitivity index, and selectivity index of the random selection results are obtained. The speed index, sensitivity index and selectivity index are used to construct their respective index weights. The speed index, sensitivity index and selectivity index are combined with their respective index weights to establish a parameter comprehensive index. When the parameter comprehensive index reaches the minimum value, the optimal current setting parameters of the distribution network current protection section are obtained.
[0007] Furthermore, the speed index, sensitivity index and selectivity index are used to construct their respective index weights, specifically: Based on the speed index, the sensitivity index and the selectivity index, a first index ratio value, a second index ratio value and a third index ratio value are calculated; Obtain the maximum value, the middle value and the minimum value among the first indicator ratio value, the second indicator ratio value and the third indicator ratio value; use the minimum value as the indicator weight of the speed indicator, the middle value as the indicator weight of the sensitivity indicator, and the maximum value as the indicator weight of the selectivity indicator.
[0008] Furthermore, the first mapping function is specifically: 、 ;in, Indicates the speed performance index of the current protection section of the distribution network; N Indicates the number of short circuits in the distribution network; i Indicates the current protection number; n Indicates the total number of current protections; Indicates the j Second short circuit i Current protection action time; 、 Respectively iThe time setting value of the II and III sections of the current protection; p represents a particle in a particle swarm, p =1,2,3…, m .
[0009] Furthermore, the second mapping function is specifically: 、 ;in, Indicates the sensitivity index of the current protection section of the distribution network; N Indicates the number of short circuits in the distribution network; i Indicates the current protection number; n Indicates the total number of current protections; Indicates the j Secondary short-circuit current value; Indicates the i The first current protection h The set current value of the current protection stage, h= 1,2,3; Indicates the j Sensitivity of current protection under secondary short circuit; p represents a particle in a particle swarm, p =1,2,3…, m .
[0010] Furthermore, the third mapping function is specifically: Among them, f3 (p) Indicates the selectivity index of the current protection section of the distribution network; N indicates the number of short circuits in the distribution network; i indicates the current protection number; n indicates the total number of current protections; L r Indicates the power outage range caused by incorrect operation of current protection under single short circuit; max(L ij ×P ij ) indicates the maximum power outage range of a single short circuit; It represents the ratio of the maximum short-circuit current at the end of the line where the i-th current protection is located to the setting current value of its h-th current protection section in the j-th short circuit; L ij Indicates the power outage range of the jth short-circuit current protection i action; P ij Indicates whether the current protection i is activated in the jth short circuit; L zj It represents the power outage range when the current protection operates correctly; p represents the particle in the particle group, p = 1, 2, 3…, m.
[0011] Furthermore, the speed index, sensitivity index and selectivity index are combined with their respective index weights to establish a parameter comprehensive index; wherein, the parameter comprehensive index is specifically: ,in, It is a comprehensive parameter index of the current protection section of the distribution network. 、 、 They are respectively the speed index, sensitivity index and selectivity index of the current protection section of the distribution network, 、 and are the respective index weights of the speed index, sensitivity index and selectivity index of the current protection section of the distribution network; p represents a particle in a particle swarm, p =1,2,3…, m .
[0012] The present invention further provides a distribution network current protection setting optimization system, which is used in any one of the distribution network current protection setting optimization methods described above, and the system includes: A parameter random generation module, used for randomly generating multiple sets of current setting parameters of the current protection section of the distribution network, wherein the current setting parameters include current setting values and time setting values; A mapping function construction module is used to construct a first mapping function between the speed index of the distribution network current protection section and the short-circuit current protection action time and time setting value; construct a second mapping function between the sensitivity index of the distribution network current protection section and the short-circuit current value and current setting value; and construct a third mapping function between the selectivity index of the distribution network current protection section and the maximum short-circuit current at the end of the short-circuit current protection line and the setting current value; An index calculation module is used to randomly select multiple groups of current setting parameters based on pre-established constraints using a particle swarm algorithm, input the random selection result and the current short-circuit current protection action time into a first mapping function, input the random selection result and the current short-circuit current value into a second mapping function, and input the random selection result and the current maximum short-circuit current at the end of the short-circuit current protection line into a third mapping function to obtain a speed index, a sensitivity index, and a selectivity index of the random selection result; The parameter optimization module is used to use the speed index, sensitivity index and selectivity index to construct their respective index weights; and then combine the speed index, sensitivity index and selectivity index with their respective index weights to establish a parameter comprehensive index; when the parameter comprehensive index reaches the minimum value, the optimal current setting parameters of the distribution network current protection section are obtained.
[0013] The present invention also provides a computer device, comprising a system memory and a processor, wherein the system memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.
[0014] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of any one of the methods described above are implemented.
[0015] The present invention also provides a computer program product comprising instructions, which, when executed by a computer device cluster, enables the computer device cluster to perform any of the above methods.
[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects: In the present invention, the optimization method provided by the present invention no longer adopts fixed weights, but dynamically determines the weighting coefficients according to the relative sizes of the three performance indicators of speed, sensitivity and selectivity, realizes the adaptive allocation of indicator weights, realizes the adaptive focus and optimization of key performance, and enhances the flexibility and accuracy of the model; at the same time, the upper and lower limit constraints of the set value, the coordination constraints within the segment and the coordination constraints of the upper and lower protections are introduced to ensure that the optimization results meet the action logic requirements of the relay protection, effectively avoid the problem of over-tripping, and improve the selectivity and coordination of the protection action, thereby solving the related problems that the existing technology lacks adaptive capabilities and cannot dynamically adjust the optimization focus according to different operating conditions. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the examples. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be considered as limiting the scope. A person of ordinary skill in the art can also derive other relevant drawings based on these drawings without inventive effort. In the drawings: Figure 1 Flowchart of a method for optimizing current protection setting of a distribution network in this embodiment; Figure 2 This is a schematic diagram of the 10kV distribution network topology provided in this embodiment; Figure 3 The following is a comparison chart of the optimized tuning results and the traditional tuning results under various performance indicators in this embodiment; Figure 4 Schematic diagram of the structure of a distribution network current protection setting optimization system in this embodiment; Figure 5 This is a structural diagram of a computer device in this embodiment. DETAILED DESCRIPTION
[0018] The following description of exemplary embodiments of the present disclosure is made in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be appreciated by those skilled in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.
[0019] In this disclosure, unless otherwise specified, the use of terms such as "first" and "second" to describe various elements is not intended to limit the positional relationship, temporal relationship, or importance relationship of these elements. Such terms are only used to distinguish one element from another. In some examples, the first element and the second element may refer to the same instance of the element, while in some cases, based on the context of the description, they may also refer to different instances.
[0020] The terms used in the descriptions of various examples in this disclosure are for the purpose of describing specific examples only and are not intended to be limiting. Unless the context clearly indicates otherwise, if the number of elements is not specifically limited, the element may be one or more. In addition, the term "and / or" used in this disclosure encompasses any one and all possible combinations of the listed items.
[0021] Example 1 See also Figure 1 , Figure 1 A flow chart of a method for optimizing current protection setting in a distribution network is shown, wherein the method includes: S1: randomly generating multiple sets of current setting parameters for current protection sections of the distribution network, wherein the current setting parameters include current setting values and time setting values; It should be noted that, in this embodiment, distribution network data is first acquired, wherein the distribution network data includes current protection configuration information, short-circuit current value, load data, line parameters, and distribution network topology; multiple sets of current setting parameters of the distribution network current protection segments are randomly generated based on the distribution network data, and the multiple sets of current setting parameters are used as optimization variables and randomly selected as particles in a particle swarm in the particle swarm optimization algorithm; at the same time, in this embodiment, the distribution network current protection segment is specifically provided with three protection segments, namely, distribution network current protection segment I, distribution network current protection segment II, and distribution network current protection segment III; therefore, the multiple sets of current setting parameters include the current setting value and time setting value of the distribution network current protection segment I, the current setting value and time setting value of the distribution network current protection segment II, and the current setting value and time setting value of the distribution network current protection segment III.
[0022] S2: Constructing a first mapping function between the speed index of the distribution network current protection section and the short-circuit current protection action time and time setting value; constructing a second mapping function between the sensitivity index of the distribution network current protection section and the short-circuit current value and current setting value; constructing a third mapping function between the selectivity index of the distribution network current protection section and the maximum short-circuit current and setting current value at the end of the short-circuit current protection line; Specifically, in this embodiment, the first mapping function is: 、 ;in, Indicates the speed performance index of the current protection section of the distribution network; N Indicates the number of short circuits in the distribution network; i Indicates the current protection number; n Indicates the total number of current protections; Indicates the j Second short circuit i Current protection action time; 、 Respectively i The time setting value of the II and III sections of the current protection; p represents a particle in a particle swarm, p =1,2,3…, m Secondly, since the I stage of the three-stage current protection is the current quick-break protection, the corresponding action time is generally set to 0s. Therefore, the I stage time of the current protection is not optimized in the variables. The second mapping function is specifically: 、 ;in, Indicates the sensitivity index of the current protection section of the distribution network; N Indicates the number of short circuits in the distribution network; i Indicates the current protection number; n Indicates the total number of current protections; Indicates the j Secondary short-circuit current value; Indicates the i The first current protection h The set current value of the current protection stage, h= 1,2,3; Indicates the j Sensitivity of current protection under secondary short circuit; p represents a particle in a particle swarm, p =1,2,3…, m .
[0023] The third mapping function is specifically: Among them, f3 (p)Indicates the selectivity index of the current protection section of the distribution network; N indicates the number of short circuits in the distribution network; i indicates the current protection number; n indicates the total number of current protections; L r Indicates the power outage range caused by incorrect operation of current protection under single short circuit; max(L ij ×P ij ) indicates the maximum power outage range of a single short circuit; It represents the ratio of the maximum short-circuit current at the end of the line where the i-th current protection is located to the setting current value of its h-th current protection stage in the j-th short circuit, and is used to reflect the impact of the over-tripping of the current protection on the overall power supply of the system in this fault scenario; L ij Indicates the power outage range of the jth short-circuit current protection i action; P ij Indicates whether the current protection i is activated in the jth short circuit; L zj represents the power outage range when the current protection operates correctly; p represents the particle in the particle group, p = 1, 2, 3…, m; secondly, P ij =1 means current protection i is in action; P ij =0 means current protection i does not operate.
[0024] S3: Based on pre-established constraints, a particle swarm algorithm is used to randomly select multiple sets of current setting parameters. The random selection results and the current short-circuit current protection action time are input into a first mapping function. The random selection results and the current short-circuit current value are input into a second mapping function. The random selection results and the current maximum short-circuit current at the end of the short-circuit current protection line are input into a third mapping function to obtain the speed index, sensitivity index, and selectivity index of the random selection results. It should be noted that in this implementation, the pre-built constraints include: 1. Upper and lower limit constraints of current setting value and time setting value of each current protection stage: , where 、 are the maximum current limit and the maximum time limit respectively, =0.75kA; =0.7s; 2. Coordination constraints between the sections of the same current protection: 、 ; 3. Setting coordination constraints between upper and lower level current protection: 、 , where i 、 They are the numbers of the upper and lower level current protection respectively; 、 They are respectively the current and time setting of stage II of the upper current protection; 、 They are respectively the current and time setting values of stage I or II of the lower current protection; 、 They are respectively the current and time setting values of stage III of the upper current protection; 、 They are respectively the current and time setting values of stage III of the lower current protection; is the time difference, which is 0.2s.
[0025] At the same time, it should be noted that, in this embodiment, the initial parameters of the particle swarm are first set. The initial parameters include the number of populations, the spatial dimension, and the number of iterations. This technical content is a conventional technical means in this field and will not be elaborated on here. Then, each particle in the particle swarm is input into the first mapping function, the second mapping function, and the third mapping function to calculate the speed index, the sensitivity index, and the selectivity index, respectively.
[0026] S4: Use the speed index, sensitivity index and selectivity index to construct their respective index weights; and combine the speed index, sensitivity index and selectivity index with their respective index weights to establish a parameter comprehensive index; when the parameter comprehensive index reaches the minimum value, the optimal current setting parameters of the distribution network current protection section are obtained.
[0027] Specifically, in this embodiment, first, based on the speed index, sensitivity index, and selectivity index corresponding to the random selection result, the first index ratio value, the second index ratio value, and the third index ratio value are calculated, specifically: 、 、 ;in, Indicates the first indicator ratio value, Indicates the ratio value of the second indicator, Represents the ratio of the third indicator; then, according to the principle of selectivity first, sensitivity second, and speed last, obtain the maximum, middle, and minimum values of the first, second, and third indicator ratios; use the minimum value as the indicator weight of the speed indicator, the middle value as the indicator weight of the sensitivity indicator, and the maximum value as the indicator weight of the selectivity indicator, specifically: 、 、 .
[0028] Secondly, the speed index, sensitivity index and selectivity index are combined with their respective index weights to establish a parameter comprehensive index; among them, the parameter comprehensive index is specifically: ,in, It is a comprehensive parameter index of the current protection section of the distribution network. 、 、 They are respectively the speed index, sensitivity index and selectivity index of the current protection section of the distribution network, 、 and are the respective index weights of the speed index, sensitivity index and selectivity index of the current protection section of the distribution network; p represents a particle in a particle swarm, p =1,2,3…, m ; Finally, when the comprehensive index of the parameters of a random selection result reaches the minimum value, the random selection result is used as the optimal current setting parameter of the distribution network current protection section; or when the maximum number of iterations is reached, the current random selection result is recorded as the optimal current setting parameter of the distribution network current protection section.
[0029] Specifically, in this embodiment, the optimization method provided by the present invention no longer adopts fixed weights, but dynamically determines the weighting coefficients according to the relative sizes of the three performance indicators of speed, sensitivity and selectivity, realizes the adaptive allocation of indicator weights, realizes the adaptive focus and optimization of key performance, and enhances the flexibility and accuracy of the model; at the same time, the upper and lower limit constraints of the set value, the coordination constraints within the segment, and the coordination constraints of the upper and lower protections are introduced to ensure that the optimization results meet the action logic requirements of the relay protection, effectively avoid the problem of over-tripping, and improve the selectivity and coordination of the protection action.
[0030] Exemplarily, this embodiment uses MATLAB to Figure 2 The 10kV distribution network topology shown in the figure is simulated. The basic distribution network line parameters are shown in Table 1. Six protections are installed. The positive sequence impedances of JKLGJ-240, JKLGJ-120, and JKLGJ-70 conductors are 0.1313+j0.2795, respectively. / km, 0.253+j0.3193 / km, 0.45+j0.34 / km. System minimum operating impedance 0.303+j1.2395 , the system's maximum operating impedance is 0.088+j0.7656 .
[0031] Table 1 Specific parameters of distribution network lines
[0032] Traditional setting methods were used: 1) coordination of mainline protection with adjacent mainline protection; 2) coordination of mainline protection with adjacent branch line protection. The resulting traditional settings I and II are shown in Tables 2 and 3. A constrained particle swarm optimization algorithm was used to optimize the protection settings, resulting in the optimized settings shown in Table 4. Figure 3From the comparison chart of various performance indicators of optimized setting results and traditional setting results, it can be clearly seen that compared with traditional setting values Ⅰ and Ⅱ, the optimized setting values have significant improvements in comprehensive performance indicators as well as speed indicators, sensitivity indicators, and selectivity indicators.
[0033] Table 2 Traditional setting value I
[0034] Table 3 Traditional setting value II
[0035] Table 4 Optimized values
[0036] Example 2 See also Figure 4 As shown, the present invention also provides a distribution network current protection setting optimization system, which is used in any of the above-mentioned distribution network current protection setting optimization methods, and the system includes: A parameter random generation module 100 is used to randomly generate multiple sets of current setting parameters for current protection sections of the distribution network, wherein the current setting parameters include current setting values and time setting values; A mapping function construction module 200 is used to construct a first mapping function between the speed index of the distribution network current protection section and the short-circuit current protection action time and time setting value; construct a second mapping function between the sensitivity index of the distribution network current protection section and the short-circuit current value and current setting value; and construct a third mapping function between the selectivity index of the distribution network current protection section and the maximum short-circuit current at the end of the short-circuit current protection line and the setting current value; An index calculation module 300 is configured to randomly select multiple sets of current setting parameters based on pre-established constraints using a particle swarm algorithm, input the random selection result and the current short-circuit current protection operation time into a first mapping function, input the random selection result and the current short-circuit current value into a second mapping function, and input the random selection result and the current maximum short-circuit current at the end of the short-circuit current protection line into a third mapping function to obtain a speed index, a sensitivity index, and a selectivity index of the random selection result; The parameter optimization module 400 is used to use the speed index, sensitivity index and selectivity index to construct their respective index weights; and to combine the speed index, sensitivity index and selectivity index with their respective index weights to establish a parameter comprehensive index; when the parameter comprehensive index reaches the minimum value, the optimal current setting parameters of the distribution network current protection section are obtained.
[0037] It should be noted that the modules in the system of Example 2 correspond to the steps in the method of Example 1. The steps in the method of Example 1 have been described in detail in Example 1, and the contents of the modules in the system will not be described in detail in this Example 2.
[0038] Example 3 See also Figure 3 As shown, this embodiment further provides a computer device, including a system memory 1005 and a processor 1001, wherein the system memory 1005 stores a computer program, and the processor 1001 implements the steps of any of the above methods when executing the computer program.
[0039] It should be noted that the processor 1001 is configured to execute the steps of the above method embodiments according to the instructions in the program code. Alternatively, the processor 1001 implements the functions of the modules / units in the above system / device embodiments when executing the computer program.
[0040] Specifically, in this embodiment, the computer program may be divided into one or more modules / units, one or more modules / units being stored in the system memory 1005 and executed by the processor 1001 to complete the present application. One or more modules / units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.
[0041] The terminal device may be a computing device such as a desktop computer, laptop, PDA, or cloud server. The terminal device may include, but is not limited to, a processor 1001 and a system memory 1005. Those skilled in the art will appreciate that this does not limit the terminal device and may include more or fewer components than shown, or a combination of certain components, or different components. For example, the terminal device may also include an input / output device 1003, a network access device 1002, a bus 1006, and the like.
[0042] The processor 1001 may be a central processing unit (CPU), or 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. The general-purpose processor may be a microprocessor or any conventional processor.
[0043] The system memory 1005 can be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device. The system memory 1005 can also be the storage device 1004 of the terminal device, such as a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the terminal device. Furthermore, the system memory 1005 can also include both the internal storage unit of the terminal device and the storage device 1004. The system memory 1005 is used to store computer programs and other programs and data required by the terminal device. The system memory 1005 can also be used to temporarily store data that has been output or is about to be output.
[0044] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, systems and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0045] Example 4 This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of any one of the above methods are implemented.
[0046] Among them, the computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, system or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read Only Memory (EPROM), a register, a hard disk, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above, or any other form of computer-readable storage medium known in the art.
[0047] An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (ASIC). In an embodiment of the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device.
[0048] Example 5 This embodiment further provides a computer program product comprising instructions. When the instructions are executed by a computer device cluster, the computer device cluster executes the method described in Embodiment 1.
[0049] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.
Claims
1. A method for optimizing current protection setting in a distribution network, characterized in that: Methods include: Randomly generating multiple sets of current setting parameters for current protection sections of the distribution network, wherein the current setting parameters include current setting values and time setting values; Constructing a first mapping function between the speed index of the distribution network current protection section and the short-circuit current protection action time and time setting value; constructing a second mapping function between the sensitivity index of the distribution network current protection section and the short-circuit current value and current setting value; constructing a third mapping function between the selectivity index of the distribution network current protection section and the maximum short-circuit current and setting current value at the end of the short-circuit current protection line; Based on pre-established constraints, a particle swarm algorithm is used to randomly select multiple sets of current setting parameters. The random selection results and the current short-circuit current protection action time are input into a first mapping function. The random selection results and the current short-circuit current value are input into a second mapping function. The random selection results and the current maximum short-circuit current at the end of the short-circuit current protection line are input into a third mapping function. The speed index, sensitivity index, and selectivity index of the random selection results are obtained. The speed index, sensitivity index and selectivity index are used to construct their respective index weights. The speed index, sensitivity index and selectivity index are combined with their respective index weights to establish a parameter comprehensive index. When the parameter comprehensive index reaches the minimum value, the optimal current setting parameters of the distribution network current protection section are obtained.
2. A distribution network current protection setting optimization method according to claim 1, characterized in that: Using the speed index, sensitivity index and selectivity index, we construct their respective index weights, specifically: Based on the speed index, the sensitivity index and the selectivity index, a first index ratio value, a second index ratio value and a third index ratio value are calculated; Obtain the maximum value, the middle value and the minimum value among the first indicator ratio value, the second indicator ratio value and the third indicator ratio value; use the minimum value as the indicator weight of the speed indicator, the middle value as the indicator weight of the sensitivity indicator, and the maximum value as the indicator weight of the selectivity indicator.
3. A distribution network current protection setting optimization method according to claim 1, characterized in that: The first mapping function is specifically: 、 ;in, Indicates the speed performance index of the current protection section of the distribution network; N Indicates the number of short circuits in the distribution network; i Indicates the current protection number; n Indicates the total number of current protections; Indicates the j Second short circuit i Current protection action time; 、 Respectively i The time setting value of the II and III sections of the current protection; p represents a particle in a particle swarm, p =1,2,3…, m .
4. A distribution network current protection setting optimization method according to claim 1, characterized in that: The second mapping function is specifically: 、 ;in, Indicates the sensitivity index of the current protection section of the distribution network; N Indicates the number of short circuits in the distribution network; i Indicates the current protection number; n Indicates the total number of current protections; Indicates the j Secondary short-circuit current value; Indicates the i The first current protection h The set current value of the current protection stage, h= 1,2,3; Indicates the j Sensitivity of current protection under secondary short circuit; p represents a particle in a particle swarm, p =1,2,3…, m .
5. A distribution network current protection setting optimization method according to claim 1, characterized in that: The third mapping function is specifically: Among them, f3 (p) Indicates the selectivity index of the current protection section of the distribution network; N indicates the number of short circuits in the distribution network; i indicates the current protection number; n indicates the total number of current protections; L r Indicates the power outage range caused by incorrect operation of current protection under single short circuit; max(L ij ×P ij ) indicates the maximum power outage range of a single short circuit; It represents the ratio of the maximum short-circuit current at the end of the line where the i-th current protection is located to the setting current value of its h-th current protection section in the j-th short circuit; L ij Indicates the power outage range of the jth short-circuit current protection i action; P ij Indicates whether the current protection i is activated in the jth short circuit; L zj It represents the power outage range when the current protection operates correctly; p represents the particle in the particle group, p = 1, 2, 3…, m.
6. A distribution network current protection setting optimization method according to claim 1, characterized in that: The speed index, sensitivity index and selectivity index are combined with their respective index weights to establish a parameter comprehensive index; among which, the parameter comprehensive index is specifically: ,in, It is a comprehensive parameter index of the current protection section of the distribution network. 、 、 They are respectively the speed index, sensitivity index and selectivity index of the current protection section of the distribution network, 、 and are the respective index weights of the speed index, sensitivity index and selectivity index of the current protection section of the distribution network; p represents a particle in a particle swarm, p =1,2,3…, m .
7. A distribution network current protection setting optimization system, characterized in that: The system is used in a distribution network current protection setting optimization method according to any one of claims 1 to 6, and the system comprises: A parameter random generation module, used for randomly generating multiple groups of current setting parameters of the current protection section of the distribution network, wherein the current setting parameters include current setting values and time setting values; A mapping function construction module is used to construct a first mapping function between the speed index of the distribution network current protection section and the short-circuit current protection action time and time setting value; construct a second mapping function between the sensitivity index of the distribution network current protection section and the short-circuit current value and current setting value; and construct a third mapping function between the selectivity index of the distribution network current protection section and the maximum short-circuit current at the end of the short-circuit current protection line and the setting current value; An index calculation module is used to randomly select multiple groups of current setting parameters based on pre-established constraints using a particle swarm algorithm, input the random selection result and the current short-circuit current protection action time into a first mapping function, input the random selection result and the current short-circuit current value into a second mapping function, and input the random selection result and the current maximum short-circuit current at the end of the short-circuit current protection line into a third mapping function to obtain a speed index, a sensitivity index, and a selectivity index of the random selection result; The parameter optimization module is used to use the speed index, sensitivity index and selectivity index to construct their respective index weights; and then combine the speed index, sensitivity index and selectivity index with their respective index weights to establish a parameter comprehensive index; when the parameter comprehensive index reaches the minimum value, the optimal current setting parameters of the distribution network current protection section are obtained.
8. A computer device comprising a system memory and a processor, wherein the system memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.
10. A computer program product comprising instructions, characterized in that When the instructions are executed by a computer device cluster, the computer device cluster is caused to perform the method according to any one of claims 1 to 6.