Data analysis system and method based on distribution network dispatching automation

Abstract

The invention relates to the field of distribution network scheduling, in particular to a data analysis system and method based on distribution network scheduling automation, and the system comprises a project scheduling module, an operation influence module, a distribution network prediction module, a scheme execution module and a secondary power grid module. The operation influence module is used for the disturbance condition of a project process to a power grid, the distribution network prediction module is used for predicting the real-time power consumption of a user, the scheme execution module is used for selecting a scheduling schedule with the lowest accumulative disturbance for output, and the secondary power grid module is used for constructing a secondary low-voltage power grid as superior power supply. According to the method, power resources are utilized to the maximum extent, the influence of engineering operation on a distribution line is reduced, the stability and reliability of power supply are ensured, meanwhile, a high-level voltage network is adopted to replace a storage battery to serve as power distribution buffer, and a more effective and more reasonable distribution network scheduling process is achieved.

Description

Technical Field

[0001] The present invention relates to the field of distribution network dispatching, and in particular to a data analysis system and method based on distribution network dispatching automation. Background Art

[0002] The distribution network is a power grid that receives electric energy from the transmission network and distributes it to various users step by step through distribution facilities. Distribution network dispatching refers to the process of dispatching and controlling the operation and management of the distribution network in the power system. By reasonably arranging the power operation process, monitoring and adjusting the power distribution in the distribution network, the stability of the power system operation is ensured.

[0003] The projects of distribution network dispatching include: live repair, power outage maintenance, bypass network modification, medium voltage power generation, etc. Each project will have different impacts on the operation status of the power grid, and automated distribution network dispatching is required to automatically arrange the distribution network plan and minimize the distribution network loss. However, the current in the transmission lines and substations in different time periods is different, and the disturbance caused by the power grid operation to the circuit is also different. It is difficult for the existing dispatching system to accurately calculate the operation disturbance, resulting in undervoltage and overvoltage in some branches, affecting the normal use of electricity by users.

[0004] In addition, the traditional power grid operation buffer system is operated by electricity stored in batteries. However, batteries not only take up space in the distribution equipment, but also have a high power feeding delay. When the circuit parameters change rapidly, it is difficult to perform voltage compensation in time, resulting in unstable operation of the distribution network. Summary of the invention

[0005] The purpose of the present invention is to provide a data analysis system and method based on distribution network scheduling automation to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a data analysis system based on distribution network scheduling automation, comprising: a project scheduling module, an operation impact module, a distribution network prediction module, a scheme execution module and a secondary power grid module; The project scheduling module is used to input and receive all distribution network operation projects waiting to be executed, and use the latest start execution time and expected execution time of each operation project as constraints, to arrange and combine all projects within a distribution cycle, so that the combined scheduling schedule meets all project constraints, and output all scheduling schedules that meet the conditions to form a scheduling selection set; The operation impact module is used to obtain the disturbance of the electrical parameters of the distribution network during the live test, and to fit the influence of the project process on the electrical parameters according to the disturbance results before and after the project execution, and to generate the disturbance mapping parameters of the project on each distribution module of the distribution network from the fitting results; The distribution network prediction module is used to obtain the historical power consumption current of each distribution branch in the previous cycle, perform a hypothesis cycle test on the current data, calculate the power consumption cycle, cycle power and power consumption variance of the branch, generate the power consumption prediction function of each distribution branch in the current cycle, input the scheduling arrangements in the scheduling selection set into the computer one by one, simulate according to the power consumption prediction function, disturbance mapping parameters and project scheduling arrangements, and obtain the time domain disturbance of the distribution network during each scheduling arrangement process; The scheme execution module is used to accumulate the time domain limit disturbances of the scheduling schedule within the power consumption cycle to obtain the cumulative disturbances of each scheduling schedule on the distribution network, select the scheduling schedule with the lowest cumulative disturbance in the set as the target scheduling output, and notify the construction personnel to perform project operations at a fixed time according to the target scheduling; The secondary grid module is used to build a sub-low voltage grid between the medium voltage transmission network and the low voltage power supply line using storage elements, and add the maximum voltage disturbance caused at a single moment in the scheduling process to the standard power supply voltage of the distribution network as the working voltage of the sub-low voltage grid. The low voltage grid is connected to the terminal low voltage grid through a transformer or a voltage divider circuit, thereby outputting the standard voltage in the low voltage grid until the end of the scheduling cycle.

[0007] Further, the project scheduling module includes: an information storage unit and a constraint scheduling unit; The information storage unit is used to store project execution information, including project name, type, estimated execution time and latest execution time; The constraint scheduling unit is used to arrange and combine the projects, output all scheduling methods that meet the constraint conditions, and form a scheduling selection set.

[0008] Further, the operation impact module includes: a distribution network segmentation unit and a disturbance analysis unit; The distribution network segmentation unit is used to segment the branches of the distribution network, and obtain the disturbance mapping parameters of the project on the distribution network according to the changes of the electrical parameters of each segmented part during the project execution process; The disturbance analysis unit is used to fit the disturbance degree of the project process on various electrical parameters of the distribution network, and the electrical parameters include: voltage, current and total power supply.

[0009] Further, the distribution network prediction module includes: a period inspection unit, a time point test unit and a distribution simulation unit; The cycle inspection unit is used to perform periodic inspection on the power consumption of the distribution network in the previous cycle, and fit the cycle, average power and variance of the power consumption; The time point test unit is used to input the execution order of each project in the scheduling arrangement into the computer, and each time a project is input, calculate the time domain disturbance of the distribution network at the time of project execution; The power distribution simulation unit is used to simulate the changes in electrical parameters of the power distribution network during the execution of the project.

[0010] Further, the scheme execution module includes: a limit test unit and a scheduling output unit; The limit test unit is used to calculate the cumulative disturbance of each arrangement plan in the set to the electrical parameters of the distribution network; The scheduling output unit is used to select the scheduling arrangement with the smallest cumulative disturbance as the target scheduling output, and perform project operations according to the target scheduling arrangement.

[0011] Furthermore, the secondary power grid module includes: a constant voltage branch unit, a limit voltage boost unit and a voltage transformation output unit; The constant voltage branch unit is used to construct a sub-low voltage power grid using a storage element, wherein the storage element includes a battery, an electrical switch, a transformer and a circuit converter; The limit voltage boost unit is used to calculate the maximum disturbance voltage in the distribution line when the target scheduling arrangement is executed, and use the maximum disturbance voltage as the voltage of the secondary low voltage power grid; The voltage conversion output unit is used to connect the secondary low voltage power grid and the household low voltage power grid through a transformer or a voltage dividing circuit, and convert the secondary low voltage into a standard voltage for household power supply.

[0012] The data analysis method based on distribution network dispatch automation includes the following steps: Step S1. Input all the distribution network operation projects waiting to be executed in the next cycle into the database, perform permutations and combinations based on the latest start execution time and the estimated execution duration of the projects as constraints, output all the project scheduling arrangements that meet the constraints, and obtain a scheduling selection set; Step S2. Conduct live testing before connecting the distribution line to the grid, detect the maximum fluctuating power of the distribution network during the project execution, change the distribution power for multiple tests, fit the test results with the distribution power as the independent variable, and obtain the disturbance mapping parameters of the project; Step S3. Obtain the historical distribution power of each distribution branch in the previous cycle, perform a hypothesis cycle test on the current data, calculate the power consumption cycle, average power and power consumption variance of the branch, and predict the distribution power range of the distribution network in the next cycle; Step S4. According to the maximum value of the disturbance mapping parameter of each project within the distribution power range, the cumulative maximum disturbance of the projects in the scheduling selection set to the distribution network is calculated one by one, and the scheduling arrangement with the lowest cumulative maximum disturbance is output as the target scheduling arrangement; Step S5. Build a sub-low voltage grid between the medium voltage transmission network and the low voltage power supply line, add the maximum voltage disturbance in the dispatching process to the standard power supply voltage as the working voltage of the sub-low voltage grid, connect the sub-low voltage grid to the household grid through a transformer or a voltage divider circuit, and convert the sub-low voltage into a standard voltage for household power supply.

[0013] Further, step S1 includes: Step S11. Obtain all distribution network operation projects waiting to be executed in the next cycle from the project arrangement of the power supply unit, and the distribution network operation projects include: live repair, power outage maintenance, bypass network modification, medium voltage power generation and node replacement; Step S12. Input project information into the database, the project information including: project name, type, estimated execution time and latest execution time, use the latest execution time of the project as the primary key and the estimated execution time as the secondary key to sort all the projects to be executed; Step S13. Taking the estimated execution time and the latest execution time of the project as constraints, arrange all projects within the predetermined periodic time period so that the arranged project arrangement meets the following conditions: all projects are started before the latest execution time, only one project can be carried out at the same time, and the execution start time of all projects is within the periodic time period; If there is an arrangement that meets the conditions, all the obtained project scheduling arrangements are output to form a scheduling selection set. If there is no arrangement that meets the conditions, an error signal that scheduling cannot be performed is reported to the user.

[0014] Further, step S2 includes: Step S21. Perform a live test before the distribution network is connected. After the power of the distribution network is stabilized at a fixed value, execute each distribution network operation project, detect the real-time power of the distribution network during the project execution, and if the power outage project is executed, detect the real-time power of the standby distribution network. After the project is completed, output the maximum fluctuating power of the distribution network during the execution process; Step S22. Change the basic power of the distribution network and test again. Take the power of the distribution network as the independent variable and the maximum fluctuating power of the distribution network as the dependent variable to obtain the function f(p), where p represents the power of the distribution network and the value of f(p) represents the maximum fluctuating power. Perform smooth fitting on the discontinuous point function f(p) to obtain the continuous function F(p), and use the function F(p) as the disturbance mapping parameter of the project.

[0015] Further, step S3 includes: Step S31. Obtain the function G(t) of the distribution power of the distribution network in the previous cycle over time, where t represents time, and perform a hypothesis test on the periodicity of the function G(t): ; Among them, ACE is the autocorrelation coefficient, T is the test period of G(t), E is the length of the previous period, G0 is the average value of the function G(t) in the domain [0,E], S 2 is the cumulative variance of the function; Adjust the size of the test period T in the interval [0, E / 2] to make the autocorrelation coefficient ACE reach the maximum value, and output the test period T0 and cumulative variance S at this time 2 ; Step S32. According to the calculated inspection cycle, average value and cumulative variance, the distribution power range of the distribution network in the next cycle is obtained. The distribution power range at time t in the current cycle is expressed as: [G[Md(t / T)]-√(S 2 / E), G[Md(t / T)]+√(S 2 / E)]; Where Md is the remainder function.

[0016] Further, step S4 includes: Step S41. Select a scheduling arrangement from the scheduling selection set in sequence. The selected scheduling arrangement is recorded as [H1, H2, ... Hr, ..., Hn], where n is the number of projects, Hr is the rth project to be executed, and the disturbance mapping parameter F of project Hr is calculated. r (p)in p∈[G[Md(t / T)]-√(S 2 / E), G[Md(t / T)]+√(S 2 / E)], where t∈[HL,NE-HL-ΣL], HL is the end time of the previous project, NE is the end time of the cycle, and ΣL represents the total execution time of the remaining projects; Step S42. Accumulate the Ur values ​​of all items in the scheduling arrangement to obtain the maximum disturbance Y of the current scheduling arrangement on the distribution network power, calculate the Y value of each scheduling arrangement in the scheduling selection set one by one, and output the scheduling arrangement with the smallest Y value as the target scheduling arrangement.

[0017] Further, step S5 includes: Step S51. Construct a sub-low voltage grid between the medium voltage transmission grid and the low voltage power supply line, so that the working voltage Q of the sub-low voltage grid satisfies Q=Q0+Y / I0, where Q0 is the standard household voltage and I0 is the distribution current at the time when the maximum disturbance occurs; Step S52. Notify the construction personnel to carry out project operations according to the target scheduling arrangement. During the project construction process, the secondary low voltage grid and the household grid are connected through a transformer or a voltage divider circuit to convert the secondary low voltage into a standard voltage and enter the household low voltage grid for power supply.

[0018] Compared with the prior art, the beneficial effects achieved by the present invention are: 1. The present invention can arrange and combine distribution network operation projects to form a distribution network scheduling set, and divide the branch modules of the distribution network, calculate the impact of each project on the distribution network, quantitatively analyze the project progress, maximize the use of power resources, reduce the impact of engineering operations on distribution lines, and ensure the stability and reliability of power supply.

[0019] 2. The present invention can perform hypothesis periodic inspection on the historical current of the distribution branch, predict the power consumption of each distribution branch during the project execution, select the scheduling plan with the lowest extreme disturbance of the distribution circuit during the project process, reduce the possibility of failure in the operation of the power grid, improve the reliability of the power grid, and ensure the stable operation of the power supply and distribution system.

[0020] 3. The present invention constructs a sub-low voltage power grid between the medium voltage transmission network and the low voltage power supply line, superimposes the standard voltage with the extreme disturbance voltage during the project operation as the operating voltage of the low voltage power grid when the project is in progress, and adopts a higher-level voltage network to replace the original battery as a distribution buffer, which helps the power system to achieve intelligent operation, improves the flexibility and adaptability of the power grid, and realizes a more effective and reasonable distribution network scheduling process. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a structural schematic diagram of a data analysis system based on distribution network dispatch automation of the present invention; Figure 2 It is a schematic diagram of the steps of the data analysis method based on distribution network scheduling automation of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 , the present invention provides a technical solution: a data analysis system based on distribution network scheduling automation, including: a project scheduling module, an operation impact module, a distribution network prediction module, a scheme execution module and a secondary power grid module; The project scheduling module is used to input and receive all distribution network operation projects waiting to be executed, and use the latest start execution time and expected execution time of each operation project as constraints, to arrange and combine all projects within a distribution cycle, so that the combined scheduling schedule meets all project constraints, and output all scheduling schedules that meet the conditions to form a scheduling selection set; The project scheduling module includes: an information storage unit and a constraint scheduling unit; The information storage unit is used to store project execution information, including project name, type, estimated execution time and latest execution time; The constraint scheduling unit is used to arrange and combine the projects, output all scheduling methods that meet the constraint conditions, and form a scheduling selection set.

[0024] The operation impact module is used to obtain the disturbance of the electrical parameters of the distribution network during the live test, and to fit the influence of the project process on the electrical parameters according to the disturbance results before and after the project execution, and to generate the disturbance mapping parameters of the project on each distribution module of the distribution network from the fitting results; The operation impact module includes: a distribution network segmentation unit and a disturbance analysis unit; The distribution network segmentation unit is used to segment the branches of the distribution network, and obtain the disturbance mapping parameters of the project on the distribution network according to the changes of the electrical parameters of each segmented part during the project execution process; The disturbance analysis unit is used to fit the disturbance degree of the project process on various electrical parameters of the distribution network, and the electrical parameters include: voltage, current and total power supply.

[0025] The distribution network prediction module is used to obtain the historical power consumption current of each distribution branch in the previous cycle, perform a hypothesis cycle test on the current data, calculate the power consumption cycle, cycle power and power consumption variance of the branch, generate the power consumption prediction function of each distribution branch in the current cycle, input the scheduling arrangements in the scheduling selection set into the computer one by one, simulate according to the power consumption prediction function, disturbance mapping parameters and project scheduling arrangements, and obtain the time domain disturbance of the distribution network during each scheduling arrangement process; The distribution network prediction module includes: a period inspection unit, a time point test unit and a distribution simulation unit; The cycle inspection unit is used to perform periodic inspection on the power consumption of the distribution network in the previous cycle, and fit the cycle, average power and variance of the power consumption; The time point test unit is used to input the execution order of each project in the scheduling arrangement into the computer, and each time a project is input, calculate the time domain disturbance of the distribution network at the time of project execution; The power distribution simulation unit is used to simulate the changes in electrical parameters of the power distribution network during the execution of the project.

[0026] The scheme execution module is used to accumulate the time domain limit disturbances of the scheduling schedule within the power consumption cycle to obtain the cumulative disturbances of each scheduling schedule on the distribution network, select the scheduling schedule with the lowest cumulative disturbance in the set as the target scheduling output, and notify the construction personnel to perform project operations at a fixed time according to the target scheduling; The scheme execution module includes: a limit test unit and a scheduling output unit; The limit test unit is used to calculate the cumulative disturbance of each arrangement plan in the set to the electrical parameters of the distribution network; The scheduling output unit is used to select the scheduling arrangement with the smallest cumulative disturbance as the target scheduling output, and perform project operations according to the target scheduling arrangement.

[0027] The secondary grid module is used to build a sub-low voltage grid between the medium voltage transmission network and the low voltage power supply line using storage elements, and add the maximum voltage disturbance caused at a single moment in the scheduling process to the standard power supply voltage of the distribution network as the working voltage of the sub-low voltage grid. The low voltage grid is connected to the terminal low voltage grid through a transformer or a voltage divider circuit, thereby outputting the standard voltage in the low voltage grid until the end of the scheduling cycle.

[0028] The secondary power grid module includes: a constant voltage branch unit, a limit voltage boost unit and a voltage transformation output unit; The constant voltage branch unit is used to construct a sub-low voltage power grid using a storage element, wherein the storage element includes a battery, an electrical switch, a transformer and a circuit converter; The limit voltage boost unit is used to calculate the maximum disturbance voltage in the distribution line when the target scheduling arrangement is executed, and use the maximum disturbance voltage as the voltage of the secondary low voltage power grid; The voltage conversion output unit is used to connect the secondary low voltage power grid and the household low voltage power grid through a transformer or a voltage dividing circuit, and convert the secondary low voltage into a standard voltage for household power supply.

[0029] like Figure 2 As shown, the data analysis method based on distribution network scheduling automation includes the following steps: Step S1. Input all the distribution network operation projects waiting to be executed in the next cycle into the database, perform permutations and combinations based on the latest start execution time and the estimated execution duration of the projects as constraints, output all the project scheduling arrangements that meet the constraints, and obtain a scheduling selection set; Step S1 includes: Step S11. Obtain all distribution network operation projects waiting to be executed in the next cycle from the project arrangement of the power supply unit, and the distribution network operation projects include: live repair, power outage maintenance, bypass network modification, medium voltage power generation and node replacement; Step S12. Input project information into the database, the project information including: project name, type, estimated execution time and latest execution time, use the latest execution time of the project as the primary key and the estimated execution time as the secondary key to sort all the projects to be executed; Step S13. Taking the estimated execution time and the latest execution time of the project as constraints, arrange all projects within the predetermined periodic time period so that the arranged project arrangement meets the following conditions: all projects are started before the latest execution time, only one project can be carried out at the same time, and the execution start time of all projects is within the periodic time period; If there is an arrangement that meets the conditions, all the obtained project scheduling arrangements are output to form a scheduling selection set. If there is no arrangement that meets the conditions, an error signal that scheduling cannot be performed is reported to the user.

[0030] Step S2. Conduct live testing before connecting the distribution line to the grid, detect the maximum fluctuating power of the distribution network during the project execution, change the distribution power for multiple tests, fit the test results with the distribution power as the independent variable, and obtain the disturbance mapping parameters of the project; Step S2 includes: Step S21. Perform a live test before the distribution network is connected. After the power of the distribution network is stabilized at a fixed value, execute each distribution network operation project, detect the real-time power of the distribution network during the project execution, and if the power outage project is executed, detect the real-time power of the standby distribution network. After the project is completed, output the maximum fluctuating power of the distribution network during the execution process; Step S22. Change the basic power of the distribution network and test again. Take the power of the distribution network as the independent variable and the maximum fluctuating power of the distribution network as the dependent variable to obtain the function f(p), where p represents the power of the distribution network and the value of f(p) represents the maximum fluctuating power. Perform smooth fitting on the discontinuous point function f(p) to obtain the continuous function F(p), and use the function F(p) as the disturbance mapping parameter of the project.

[0031] Step S3. Obtain the historical distribution power of each distribution branch in the previous cycle, perform a hypothesis cycle test on the current data, calculate the power consumption cycle, average power and power consumption variance of the branch, and predict the distribution power range of the distribution network in the next cycle; Step S3 includes: Step S31. Obtain the function G(t) of the distribution power of the distribution network in the previous cycle over time, where t represents time, and perform a hypothesis test on the periodicity of the function G(t): ; Among them, ACE is the autocorrelation coefficient, T is the test period of G(t), E is the length of the previous period, G0 is the average value of the function G(t) in the domain [0,E], S 2 is the cumulative variance of the function; Adjust the size of the test period T in the interval [0, E / 2] to make the autocorrelation coefficient ACE reach the maximum value, and output the test period T0 and cumulative variance S at this time 2 ; Step S32. According to the calculated inspection cycle, average value and cumulative variance, the distribution power range of the distribution network in the next cycle is obtained. The distribution power range at time t in the current cycle is expressed as: [G[Md(t / T)]-√(S 2 / E), G[Md(t / T)]+√(S 2 / E)]; Where Md is the remainder function.

[0032] Step S4. According to the maximum value of the disturbance mapping parameter of each project within the distribution power range, the cumulative maximum disturbance of the projects in the scheduling selection set to the distribution network is calculated one by one, and the scheduling arrangement with the lowest cumulative maximum disturbance is output as the target scheduling arrangement; Step S4 includes: Step S41. Select a scheduling arrangement from the scheduling selection set in sequence. The selected scheduling arrangement is recorded as [H1, H2, ... Hr, ..., Hn], where n is the number of projects, Hr is the rth project to be executed, and the disturbance mapping parameter F of project Hr is calculated. r (p)in p∈[G[Md(t / T)]-√(S 2 / E), G[Md(t / T)]+√(S 2 / E)], where t∈[HL,NE-HL-ΣL], HL is the end time of the previous project, NE is the end time of the cycle, and ΣL represents the total execution time of the remaining projects; Step S42. Accumulate the Ur values ​​of all items in the scheduling arrangement to obtain the maximum disturbance Y of the current scheduling arrangement on the distribution network power, calculate the Y value of each scheduling arrangement in the scheduling selection set one by one, and output the scheduling arrangement with the smallest Y value as the target scheduling arrangement.

[0033] Step S5. Build a sub-low voltage grid between the medium voltage transmission network and the low voltage power supply line, add the maximum voltage disturbance in the dispatching process to the standard power supply voltage as the working voltage of the sub-low voltage grid, connect the sub-low voltage grid to the household grid through a transformer or a voltage divider circuit, and convert the sub-low voltage into a standard voltage for household power supply.

[0034] Step S5 includes: Step S51. Construct a sub-low voltage grid between the medium voltage transmission grid and the low voltage power supply line, so that the working voltage Q of the sub-low voltage grid satisfies Q=Q0+Y / I0, where Q0 is the standard household voltage and I0 is the distribution current at the time when the maximum disturbance occurs; Step S52. Notify the construction personnel to carry out project operations according to the target scheduling arrangement. During the project construction process, the secondary low voltage grid and the household grid are connected through a transformer or a voltage divider circuit to convert the secondary low voltage into a standard voltage and enter the household low voltage grid for power supply.

[0035] Example: Three projects need to be carried out in one day, and the latest execution times are 6:00, 12:00 and 24:00, and the execution times are 2 hours, 4 hours and 6 hours respectively. After arranging and combining the projects, three scheduling arrangements are formed [1,2,3], [2,1,3] and [1,3,2]. The maximum power of the distribution network at 2:00, 4:00, 6:00, 12:00 and 18:00 is 20KW, 30KW, 50KW, 100KW and 80KW respectively. Projects 1, 2 and 3 have a positive proportional disturbance relationship on the distribution network, and the disturbance coefficients are 0.01, 0.04 and 0.05 respectively. Then the scheduling arrangement [1,2,3] has the lowest cumulative disturbance, and the projects are executed in the order of project 1, project 2 and project 3.

[0036] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0037] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A data analysis method based on distribution network dispatch automation, characterized in that: The method comprises the following steps: Step S1. Input all the distribution network operation projects waiting to be executed in the next cycle into the database, perform permutations and combinations based on the latest start execution time and the estimated execution duration of the projects as constraints, output all the project scheduling arrangements that meet the constraints, and obtain a scheduling selection set; Step S2. Conduct live testing before connecting the distribution line to the grid, detect the maximum fluctuating power of the distribution network during the project execution, change the distribution power for multiple tests, fit the test results with the distribution power as the independent variable, and obtain the disturbance mapping parameters of the project; Step S3. Obtain the historical distribution power of each distribution branch in the previous cycle, perform a hypothesis cycle test on the current data, calculate the power consumption cycle, average power and power consumption variance of the branch, and predict the distribution power range of the distribution network in the next cycle; Step S4. According to the maximum value of the disturbance mapping parameter of each project within the distribution power range, the cumulative maximum disturbance of the projects in the scheduling selection set to the distribution network is calculated one by one, and the scheduling arrangement with the lowest cumulative maximum disturbance is output as the target scheduling arrangement; Step S5. Build a sub-low voltage grid between the medium voltage transmission network and the low voltage power supply line, add the maximum voltage disturbance in the dispatching process to the standard power supply voltage as the working voltage of the sub-low voltage grid, connect the sub-low voltage grid to the household grid through a transformer or a voltage divider circuit, and convert the sub-low voltage into a standard voltage for household power supply.

2. The data analysis method based on distribution network scheduling automation according to claim 1 is characterized in that: Step S1 includes: Step S11. Obtain all distribution network operation projects waiting to be executed in the next cycle from the project arrangement of the power supply unit, and the distribution network operation projects include: live repair, power outage maintenance, bypass network modification, medium voltage power generation and node replacement; Step S12. Input project information into the database, the project information including: project name, type, estimated execution time and latest execution time, use the latest execution time of the project as the primary key and the estimated execution time as the secondary key to sort all the projects to be executed; Step S13. Taking the estimated execution time and the latest execution time of the project as constraints, arrange all projects within the predetermined periodic time period so that the arranged project arrangement meets the following conditions: all projects are started before the latest execution time, only one project can be carried out at the same time, and the execution start time of all projects is within the periodic time period; If there is an arrangement that meets the conditions, all the obtained project scheduling arrangements are output to form a scheduling selection set. If there is no arrangement that meets the conditions, an error signal that scheduling cannot be performed is reported to the user.

3. The data analysis method based on distribution network scheduling automation according to claim 2 is characterized in that: Step S2 includes: Step S21. Perform a live test before the distribution network is connected. After the power of the distribution network is stabilized at a fixed value, execute each distribution network operation project, detect the real-time power of the distribution network during the project execution, and if the power outage project is executed, detect the real-time power of the standby distribution network. After the project is completed, output the maximum fluctuating power of the distribution network during the execution process; Step S22. Change the basic power of the distribution network and test again. Take the power of the distribution network as the independent variable and the maximum fluctuating power of the distribution network as the dependent variable to obtain the function f(p), where p represents the power of the distribution network and the value of f(p) represents the maximum fluctuating power. Perform smooth fitting on the discontinuous point function f(p) to obtain the continuous function F(p), and use the function F(p) as the disturbance mapping parameter of the project.

4. The data analysis method based on distribution network scheduling automation according to claim 3 is characterized in that: Step S3 includes: Step S31. Obtain the function G(t) of the distribution power of the distribution network in the previous cycle over time, where t represents time, and perform a hypothesis test on the periodicity of the function G(t): ； Among them, ACE is the autocorrelation coefficient, T is the test period of G(t), E is the length of the previous period, G0 is the average value of the function G(t) in the domain [0,E], S 2 is the cumulative variance of the function; Adjust the size of the test period T in the interval [0, E / 2] to make the autocorrelation coefficient ACE reach the maximum value, and output the test period T0 and cumulative variance S at this time 2 ; Step S32. According to the calculated inspection cycle, average value and cumulative variance, the distribution power range of the distribution network in the next cycle is obtained. The distribution power range at time t in the current cycle is expressed as: [G[Md(t / T)]-√(S 2 / E),G[Md(t / T)]+√(S 2 / E)]; Where Md is the remainder function.

5. The data analysis method based on distribution network scheduling automation according to claim 4 is characterized in that: Step S4 includes: Step S41. Select a scheduling arrangement from the scheduling selection set in sequence. The selected scheduling arrangement is recorded as [H1, H2, ... Hr, ..., Hn], where n is the number of projects, Hr is the rth project to be executed, and the disturbance mapping parameter F of project Hr is calculated. r (p)in p∈[G[Md(t / T)]-√(S 2 / E), G[Md(t / T)]+√(S 2 / E)], where t∈[HL,NE-HL-ΣL], HL is the end time of the previous project, NE is the end time of the cycle, and ΣL represents the total execution time of the remaining projects; Step S42. Accumulate the Ur values ​​of all items in the scheduling arrangement to obtain the maximum disturbance Y of the current scheduling arrangement on the power of the distribution network, calculate the Y value of each scheduling arrangement in the scheduling selection set one by one, and output the scheduling arrangement with the smallest Y value as the target scheduling arrangement; Step S5 includes: Step S51. Construct a sub-low voltage grid between the medium voltage transmission grid and the low voltage power supply line, so that the working voltage Q of the sub-low voltage grid satisfies Q=Q0+Y / I0, where Q0 is the standard household voltage and I0 is the distribution current at the time when the maximum disturbance occurs; Step S52. Notify the construction personnel to carry out project operations according to the target scheduling arrangement. During the project construction process, the secondary low voltage grid and the household grid are connected through a transformer or a voltage divider circuit to convert the secondary low voltage into a standard voltage and enter the household low voltage grid for power supply.

6. The data analysis system based on distribution network dispatch automation is characterized by: The system includes the following modules: project scheduling module, operation impact module, distribution network prediction module, scheme execution module and secondary power grid module; The project scheduling module is used to input and receive all distribution network operation projects waiting to be executed, and use the latest start execution time and expected execution time of each operation project as constraints, to arrange and combine all projects within a distribution cycle, so that the combined scheduling schedule meets all project constraints, and output all scheduling schedules that meet the conditions to form a scheduling selection set; The operation impact module is used to obtain the disturbance of the electrical parameters of the distribution network during the live test, and to fit the influence of the project process on the electrical parameters according to the disturbance results before and after the project execution, and to generate the disturbance mapping parameters of the project on each distribution module of the distribution network from the fitting results; The distribution network prediction module is used to obtain the historical power consumption current of each distribution branch in the previous cycle, perform a hypothesis cycle test on the current data, calculate the power consumption cycle, cycle power and power consumption variance of the branch, generate the power consumption prediction function of each distribution branch in the current cycle, input the scheduling arrangements in the scheduling selection set into the computer one by one, simulate according to the power consumption prediction function, disturbance mapping parameters and project scheduling arrangements, and obtain the time domain disturbance of the distribution network during each scheduling arrangement process; The scheme execution module is used to accumulate the time domain limit disturbances of the scheduling schedule within the power consumption cycle to obtain the cumulative disturbances of each scheduling schedule on the distribution network, select the scheduling schedule with the lowest cumulative disturbance in the set as the target scheduling output, and notify the construction personnel to perform project operations at a fixed time according to the target scheduling; The secondary grid module is used to build a sub-low voltage grid between the medium voltage transmission network and the low voltage power supply line using storage elements, and add the maximum voltage disturbance caused at a single moment in the scheduling process to the standard power supply voltage of the distribution network as the working voltage of the sub-low voltage grid. The low voltage grid is connected to the terminal low voltage grid through a transformer or a voltage divider circuit, thereby outputting the standard voltage in the low voltage grid until the end of the scheduling cycle.

7. The data analysis system based on distribution network dispatch automation according to claim 6 is characterized in that: The project scheduling module includes: an information storage unit and a constraint scheduling unit; The information storage unit is used to store project execution information, including project name, type, estimated execution time and latest execution time; The constraint scheduling unit is used to arrange and combine the projects, output all scheduling methods that meet the constraint conditions, and form a scheduling selection set; The operation impact module includes: a distribution network segmentation unit and a disturbance analysis unit; The distribution network segmentation unit is used to segment the branches of the distribution network, and obtain the disturbance mapping parameters of the project on the distribution network according to the changes of the electrical parameters of each segmented part during the project execution process; The disturbance analysis unit is used to fit the disturbance degree of the project process on various electrical parameters of the distribution network, and the electrical parameters include: voltage, current and total power supply.

8. The data analysis system based on distribution network dispatch automation according to claim 7 is characterized in that: The distribution network prediction module includes: a period inspection unit, a time point test unit and a distribution simulation unit; The cycle inspection unit is used to perform periodic inspection on the power consumption of the distribution network in the previous cycle, and fit the cycle, average power and variance of the power consumption; The time point test unit is used to input the execution order of each project in the scheduling arrangement into the computer, and each time a project is input, calculate the time domain disturbance of the distribution network at the time of project execution; The power distribution simulation unit is used to simulate the changes in electrical parameters of the power distribution network during the execution of the project.

9. The data analysis system based on distribution network dispatch automation according to claim 8 is characterized in that: The scheme execution module includes: a limit test unit and a scheduling output unit; The limit test unit is used to calculate the cumulative disturbance of each arrangement plan in the set to the electrical parameters of the distribution network; The scheduling output unit is used to select the scheduling arrangement with the smallest cumulative disturbance as the target scheduling output, and perform project operations according to the target scheduling arrangement.

10. The data analysis system based on distribution network dispatch automation according to claim 9 is characterized in that: The secondary power grid module includes: a constant voltage branch unit, a limit voltage boost unit and a voltage transformation output unit; The constant voltage branch unit is used to construct a sub-low voltage power grid using a storage element, wherein the storage element includes a battery, an electrical switch, a transformer and a circuit converter; The limit voltage boost unit is used to calculate the maximum disturbance voltage in the distribution line when the target scheduling arrangement is executed, and use the maximum disturbance voltage as the voltage of the secondary low voltage power grid; The voltage conversion output unit is used to connect the secondary low voltage power grid and the household low voltage power grid through a transformer or a voltage dividing circuit, and convert the secondary low voltage into a standard voltage for household power supply.

Images