Data analysis system and method based on network dispatching automation

Abstract

The application relates to the field of distribution network scheduling, in particular to a data analysis system and method based on distribution network scheduling automation, which comprises a project scheduling module, a work influence module, a distribution network prediction module, a scheme execution module and a secondary power grid module; the project scheduling module is used for arranging and scheduling a selection set; the work influence module is used for the disturbance situation of a project process to a power grid; the distribution network prediction module is used for predicting real-time power consumption of users; the scheme execution module is used for selecting a scheduling arrangement table with the lowest cumulative disturbance to output; and the secondary power grid module is used for constructing a secondary low-voltage power grid as a superior power supply. The application can quantitatively analyze a project process, maximally utilize power resources, reduce the influence of engineering work on distribution lines, ensure the stability and reliability of power supply, simultaneously replace storage batteries with high-level voltage networks as distribution buffers, and realize a more effective and reasonable distribution network scheduling process.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of distribution network scheduling, in particular to a data analysis system and method based on distribution network scheduling automation. BACKGROUND

[0002] The distribution network is a power grid that receives power from the transmission network and distributes it to various users through distribution facilities. Distribution network scheduling refers to the process of scheduling 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 distribution network scheduling projects include live repair, outage repair, bypass network modification, and medium-voltage power generation. Each project has different effects on the operation state of the power grid, and requires automatic distribution network scheduling to automatically arrange distribution network plans and minimize distribution network losses. However, the current in the transmission line and the transformer line is different at different times, and the disturbance of the power operation on the circuit also varies. The existing scheduling system cannot accurately calculate the operation disturbance, resulting in under-voltage and over-voltage in some branches, affecting the normal use of power by users.

[0004] In addition, the traditional power grid operation buffer system is based on the power stored by the battery. However, the battery not only occupies the space of the distribution equipment, but also has high feeder delay. In the case of rapid change of circuit parameters, it is difficult to compensate the voltage in time, resulting in unstable operation of the distribution network. SUMMARY

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

[0006] To solve the above technical problems, the present application provides the following technical scheme: a data analysis system based on distribution network scheduling automation, comprising: a project scheduling module, a job impact module, a distribution network prediction module, a scheme execution module and a secondary power grid module;

[0007] The project scheduling module is used to input and receive all distribution network operation projects waiting to be executed, and to arrange and combine all projects in a distribution cycle with the latest start execution time and the expected execution time of each operation project as the constraint condition, so that the scheduling arrangement table obtained by the combination meets all the project constraint conditions, and outputs all the scheduling arrangement tables that meet the conditions to form a scheduling selection set;

[0008] The job impact module is used to obtain the disturbance of each project execution process to the electrical parameters of the distribution network during the live test process, and to fit the influence degree of the project process on each electrical parameter according to the disturbance results before and after the project execution, and to produce the disturbance mapping parameters of each distribution module of the distribution network by the fitting results;

[0009] The power distribution network prediction module is configured to obtain historical power consumption currents of each power distribution branch in a previous period, perform hypothesis period testing on the current data, calculate power consumption periods, period power consumption and power consumption variance of the branch, generate a power consumption prediction function of each power distribution branch in a current period, input each scheduling arrangement in the scheduling selection set into a computer, simulate according to the power consumption prediction function, disturbance mapping parameter and project scheduling arrangement, and obtain time domain disturbance of the power distribution network in each scheduling arrangement process;

[0010] The scheme execution module is configured to accumulate time domain limit disturbance of the scheduling arrangement in the power consumption period, obtain cumulative disturbance of each scheduling arrangement table to the power distribution network, select a scheduling arrangement table with the lowest cumulative disturbance in the selection set as a target scheduling arrangement output, and notify construction personnel to perform project operation according to the target scheduling arrangement at a fixed time;

[0011] The secondary power grid module is configured to construct a secondary low-voltage power grid between the medium-voltage power transmission grid and the low-voltage power supply line by using the power storage element, add maximum voltage disturbance caused by a single time in the scheduling arrangement process to a standard power supply voltage of the power distribution network as a working voltage of the secondary low-voltage power grid, and connect the low-voltage power grid to the end low-voltage power grid through a transformer or a voltage dividing circuit, so as to output the standard voltage in the low-voltage power grid until the scheduling period ends.

[0012] Further, the project scheduling module comprises an information storage unit and a constraint scheduling unit.

[0013] The information storage unit is configured to store project execution information, including a project name, a type, a predicted execution duration and a latest execution time.

[0014] The constraint scheduling unit is configured to arrange and combine projects, output all scheduling modes meeting constraint conditions, and constitute a scheduling selection set.

[0015] Further, the work influence module comprises a power distribution network segmentation unit and a disturbance analysis unit.

[0016] The power distribution network segmentation unit is configured to segment branches of the power distribution network, and obtain disturbance mapping parameters of the project to the power distribution network according to electrical parameter change conditions of each segmented part in the project execution process.

[0017] The disturbance analysis unit is configured to fit disturbance degrees of the project progress to electrical parameters of the power distribution network, including voltage, current and total power supply.

[0018] Further, the power distribution network prediction module comprises a period testing unit, a time point testing unit and a power distribution simulation unit.

[0019] The periodic inspection unit is configured to periodically inspect the power consumption of the power distribution network in a previous period, and fit a period, an average power, and a variance of the power consumption;

[0020] The time point testing unit is configured to input a sequence of execution of each item in the scheduling arrangement into a computer, and input each item, and calculate a time domain disturbance of the power distribution network at an execution time point of the item;

[0021] The power distribution simulation unit is configured to simulate a change of an electrical parameter of the power distribution network in the execution process of the item.

[0022] Further, the scheme execution module comprises a limit testing unit and a scheduling output unit.

[0023] The limit testing unit is configured to calculate a cumulative disturbance of each arrangement plan in the set to the electrical parameter of the power distribution network;

[0024] The scheduling output unit is configured to select a scheduling arrangement with a minimum cumulative disturbance as a target arrangement, and perform an item operation according to the target scheduling arrangement.

[0025] Further, the secondary power grid module comprises a constant voltage branch unit, a limit voltage boosting unit, and a voltage output unit.

[0026] The constant voltage branch unit is configured to construct a secondary low-voltage power grid by using a power storage element, wherein the power storage element comprises a battery, an electrical switch, a transformer, and a circuit converter.

[0027] The limit voltage boosting unit is configured to calculate a maximum disturbance voltage in the power distribution line when the target scheduling arrangement is executed, and take the maximum disturbance voltage as a voltage of the secondary low-voltage power grid.

[0028] The voltage output unit is configured to connect the secondary low-voltage power grid and a household low-voltage power grid by using a transformer or a voltage dividing circuit, and convert the secondary low-voltage into a standard voltage for household power supply.

[0029] The data analysis method based on power distribution network scheduling automation comprises the following steps:

[0030] Step S1. Input all power distribution network operation items to be executed in a next period into a database, arrange and combine the items according to a latest start execution time and a predicted execution duration of the items as constraint conditions, output all scheduling arrangements of the items meeting the constraint conditions, and obtain a scheduling selection set;

[0031] Step S2. Perform a live test before power distribution line connection, detect a maximum fluctuation power of the power distribution network in the execution process of the item, change the power distribution power for multiple times of testing, fit the test results according to the power distribution power as an independent variable, and obtain a disturbance mapping parameter of the item;

[0032] Step S3. Obtain the historical power of each distribution branch in the previous period, perform the assumed period test on the current data, calculate the power cycle, average power and power variance of the branch, and predict the power range of the distribution network in the next period;

[0033] Step S4. Calculate the cumulative maximum disturbance of each item in the scheduling selection set to the distribution network according to the maximum value of the disturbance mapping parameter of each item in the power range, and output the scheduling arrangement with the lowest cumulative maximum disturbance as the target scheduling arrangement;

[0034] Step S5. Build a sub-low voltage power grid between the medium voltage transmission network and the low voltage power supply line, add the maximum voltage disturbance in the scheduling process to the standard power supply voltage as the working voltage of the sub-low voltage power grid, connect the sub-low voltage power grid and the household power grid through a transformer or a voltage dividing circuit, and convert the sub-low voltage to the standard voltage for household power supply.

[0035] Further, step S1 includes:

[0036] Step S11. Obtain all distribution network operation items to be executed in the next period from the project arrangement of the power supply unit, and the distribution network operation items include live repair, outage repair, bypass network, medium voltage power generation and node replacement;

[0037] Step S12. Input the project information into the database, the project information including: project name, type, expected execution time and latest execution time, taking the latest execution time of the project as the primary key and the expected execution time as the secondary key to arrange all to-be-executed projects;

[0038] Step S13. Arrange all projects within a predetermined period of time with the expected execution time and the latest execution time of the project as the constraint conditions, so that the arranged project arrangement meets the following conditions: all projects start execution before the latest execution time, only one project can be performed at the same time, and the start execution time of all projects is within the period of time;

[0039] If there is an arrangement that meets the conditions, output all obtained project scheduling arrangements to form a scheduling selection set, if there is no arrangement that meets the conditions, report an error signal to the user that scheduling cannot be performed.

[0040] Further, step S2 includes:

[0041] Step S21. Perform live testing before connecting to the distribution network, stabilize the power of the distribution network at a fixed value, execute each distribution network operation item, detect the real-time power of the distribution network during the execution of the item, if it is a power-off item, detect the real-time power of the standby distribution network, and output the maximum fluctuation power of the distribution network during the execution of the item after the item is completed.

[0042] Step S22. Change the base power of the power distribution network to test again, take the power distribution network power as the independent variable, the maximum fluctuation power of the power distribution network as the dependent variable to obtain the function f(p), wherein p represents the power distribution network power, the value of f(p) represents the maximum fluctuation power, perform a smooth fitting on the non-continuous point function f(p) to obtain a continuous function F(p), and take the function F(p) as the disturbance mapping parameter of the project.

[0043] Further, step S3 comprises:

[0044] Step S31. Obtain the function G(t) of the change of the power distribution of the power distribution network with time in the previous period, wherein t represents time, and perform a hypothesis test on the periodicity of the function G(t):

[0045] ;

[0046] Wherein, 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;

[0047] Adjust the size of the test period T in the interval [0, E / 2] to make the autocorrelation coefficient ACE reach the maximum value, output the test period T0 and the cumulative variance S 2 at this time;

[0048] Step S32. According to the calculated test period, average value and cumulative variance, obtain the power distribution range of the power distribution network in the next period, and the power distribution range of the power distribution network at time t in the current period is represented as:

[0049] ;

[0050] Wherein, Md is the modulo function.

[0051] Further, step S4 comprises:

[0052] Step S41. Select the scheduling arrangement from the scheduling selection set in turn, and the selected scheduling arrangement is denoted as [H1, H2, …Hr, …, Hn], wherein n is the number of projects, Hr is the rth project to be executed, and the maximum value Ur of the disturbance mapping parameter F r (p) of the project Hr in the range p∈ is calculated, wherein t∈[HL, NE-HL-ΣL], HL is the end time of the previous project, NE is the end time of the period, and ΣL represents the total execution time length of the remaining projects;

[0053] Step S42. Accumulate the Ur values of all items in the scheduling arrangement to obtain the maximum disturbance Y of the power distribution network by the current scheduling arrangement, calculate the Y values of each scheduling arrangement in the scheduling selection set one by one, and output the scheduling arrangement with the minimum Y value as the target scheduling arrangement.

[0054] Further, step S5 comprises:

[0055] Step S51. Build a sub-low-voltage power grid between the medium-voltage power transmission network and the low-voltage power supply line, so that the working voltage Q of the sub-low-voltage power grid satisfies Q=Q0+Y / I0, wherein Q0 is a standard household voltage, and I0 is a power distribution current at the moment when the maximum disturbance occurs.

[0056] Step S52. According to the target scheduling arrangement, inform the construction personnel to carry out the project operation, and during the project construction process, connect the sub-low-voltage power grid and the household power grid through a transformer or a voltage dividing circuit, convert the sub-low-voltage into a standard voltage to enter the low-voltage power grid for power supply.

[0057] Compared with the prior art, the present application has the following beneficial effects:

[0058] The present application can arrange and combine the distribution network operation items, form a distribution network scheduling set, divide the branch modules of the distribution network, calculate the influence of each item on the distribution network, quantitatively analyze the project process, maximize the use of power resources, reduce the influence of engineering operation on the distribution line, and ensure the stability and reliability of power supply.

[0059] The present application can perform periodic test on the historical current of the distribution branch, predict the power consumption of each distribution branch during the project execution process, select the scheduling scheme with the lowest limit disturbance of the project process to the distribution circuit for execution, 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.

[0060] The present application builds a sub-low-voltage power grid between the medium-voltage power transmission network and the low-voltage power supply line, superimposes the standard voltage and the limit disturbance voltage in the project operation process as the operating voltage of the low-voltage power grid during the project, replaces the original battery with a high-level voltage grid as the power distribution buffer, helps the power system to realize intelligent operation, improves the flexibility and adaptability of the power grid, and realizes more effective and reasonable distribution network scheduling process. BRIEF DESCRIPTION OF DRAWINGS

[0061] The accompanying drawings are used to provide a further understanding of the present application, and constitute a part of the specification, together with the embodiments of the present application, to explain the present application, and do not constitute a limitation on the present application. In the drawings:

[0062] Figure 1 is a structural schematic diagram of a data analysis system of the present application based on distribution network scheduling automation;

[0063] Figure 2 is a schematic diagram of the steps of the data analysis method based on power distribution scheduling automation of the present application. DETAILED DESCRIPTION

[0064] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work are within the scope of protection of the present application.

[0065] Please refer to Figure 1 The present application provides a technical solution: a data analysis system based on power distribution scheduling automation, comprising: a project scheduling module, a job impact module, a power distribution prediction module, a scheme execution module and a secondary power grid module.

[0066] The project scheduling module is used to input and receive all the power distribution projects waiting to be executed, and arrange and combine all the projects in a power distribution cycle with the latest start execution time and the expected execution time length of each project as the constraint conditions, so that the scheduling arrangement table obtained by the combination meets all the project constraint conditions, and all the scheduling arrangement tables meeting the conditions are output to form a scheduling selection set.

[0067] The project scheduling module comprises an information storage unit and a constraint scheduling unit.

[0068] The information storage unit is used to store project execution information, including project name, type, expected execution time length and latest execution time.

[0069] The constraint scheduling unit is used to arrange and combine the projects, and output all the scheduling modes meeting the constraint conditions to form a scheduling selection set.

[0070] The job impact module is used to obtain the disturbance of each project execution process to the electrical parameters of the power distribution network during the live test process, fit the influence degree of the project process on each electrical parameter according to the disturbance results before and after the project execution, and produce disturbance mapping parameters of the project to each power distribution module of the power distribution network from the fitting results.

[0071] The job impact module comprises a power distribution segmentation unit and a disturbance analysis unit.

[0072] The power distribution segmentation unit is used to segment the branch of the power distribution network, and obtain the disturbance mapping parameters of the project to the power distribution network according to the electrical parameter change of each segmented part in the project execution process.

[0073] The disturbance analysis unit is configured to fit the disturbance degree of the project process to each electrical parameter of the power distribution network, and the electrical parameters include voltage, current and total power supply.

[0074] The power distribution prediction module is configured to obtain the historical power consumption current of each power distribution branch in a previous period, perform periodicity test on the current data, calculate the power consumption period, period power and power consumption variance of the branch, generate a power consumption prediction function of each power distribution branch in a current period, input each scheduling arrangement in the scheduling selection set into a computer, simulate according to the power consumption prediction function, disturbance mapping parameter and project scheduling arrangement, and obtain the time domain disturbance of the power distribution network in each scheduling arrangement process.

[0075] The power distribution prediction module comprises a periodicity test unit, a time point test unit and a power distribution simulation unit.

[0076] The periodicity test unit is configured to perform periodicity test on the power consumption power of the power distribution network in a previous period, and fit the period, average power and variance of the power consumption power.

[0077] The time point test unit is configured to input the sequence of each project execution in the scheduling arrangement into a computer, and calculate the time domain disturbance of the power distribution network at the project execution time point each time a project is input.

[0078] The power distribution simulation unit is configured to simulate the change of the electrical parameter of the power distribution network in the project execution process.

[0079] The scheme execution module is configured to accumulate the time domain limit disturbance of the scheduling arrangement in the power consumption period, obtain the cumulative disturbance of each scheduling arrangement table to the power distribution network, select the scheduling arrangement table with the lowest cumulative disturbance in the set as the target scheduling arrangement, and output the target scheduling arrangement, and notify the construction personnel to perform project work according to the target scheduling arrangement at a fixed time.

[0080] The scheme execution module comprises a limit test unit and a scheduling output unit.

[0081] The limit test unit is configured to calculate the cumulative disturbance of each arrangement plan in the set to the electrical parameter of the power distribution network.

[0082] The scheduling output unit is configured to select the scheduling arrangement with the smallest cumulative disturbance as the target arrangement, and perform project work according to the target scheduling arrangement.

[0083] The secondary power grid module is configured to build a secondary low-voltage power grid between the medium-voltage power transmission network and the low-voltage power supply line by using the power storage element, add the maximum voltage disturbance caused by a single time point in the scheduling arrangement process to the standard power supply voltage of the power distribution network as the working voltage of the secondary low-voltage power grid, and connect the low-voltage power grid to the terminal low-voltage power grid through a transformer or a voltage dividing circuit, so as to output the standard voltage in the low-voltage power grid until the scheduling period ends.

[0084] The secondary power grid module comprises a constant voltage branch unit, a limit voltage boosting unit and a variable voltage output unit.

[0085] The constant voltage branch unit is configured to construct a secondary low-voltage power grid by using a power storage element, wherein the power storage element comprises a storage battery, an electrical switch, a transformer and a circuit converter.

[0086] The limit voltage boosting unit is configured to calculate a maximum disturbance voltage in a power distribution line when a target scheduling arrangement is executed, and take the maximum disturbance voltage as a voltage of the secondary low-voltage power grid.

[0087] The variable voltage output unit is configured to connect the secondary low-voltage power grid and a household low-voltage power grid by a transformer or a voltage dividing circuit, and convert the secondary low-voltage into a standard voltage for household power supply.

[0088] As shown in the data analysis method based on distribution network scheduling automation, the method comprises the following steps: Figure 2

[0089] Step S1. Input all distribution network operation items to be executed in the next period into a database, and arrange and combine the items according to the latest starting execution time and the expected execution duration of the items as constraint conditions, output all item scheduling arrangements meeting the constraint conditions, and obtain a scheduling selection set.

[0090] Step S1 comprises:

[0091] Step S11. Obtain all distribution network operation items to be executed in the next period from the item arrangement of a power supply unit, and the distribution network operation items comprise live repair, outage repair, bypass network replacement, medium-voltage power generation and node replacement.

[0092] Step S12. Input item information into the database, wherein the item information comprises an item name, a type, an expected execution duration and a latest execution time, and arrange all operation items according to the latest execution time as a primary key and the expected execution duration as a secondary key.

[0093] Step S13. Arrange all items within a predetermined period according to the expected execution duration and the latest execution time of the items, so that the arranged item scheduling meets the following conditions: all items start execution before the latest execution time, only one item can be executed at the same time, and the starting execution time of all items is within the period.

[0094] If there is an arrangement meeting the conditions, output all obtained item scheduling arrangements to form a scheduling selection set, and if there is no arrangement meeting the conditions, send an error signal to the user that scheduling cannot be performed.

[0095] ​Step S2. Before the power distribution line is connected to the grid, a live test is performed to detect the maximum fluctuation power of the power distribution network during the execution of the project. The power distribution power is changed multiple times for testing. The test results are fitted with the power distribution power as the independent variable to obtain the disturbance mapping parameter of the project;

[0096] Step S2 includes:

[0097] Step S21. Before the power distribution network is connected, a live test is performed. After the power of the power distribution network is stabilized at a fixed value, each power distribution network operation item is executed. The real-time power of the power distribution network during the execution of the project is detected. If a power outage item is executed, the real-time power of the standby power distribution network is detected. After the project is completed, the maximum fluctuation power of the power distribution network during the execution is output.

[0098] Step S22. The base power of the power distribution network is changed for retesting. The power distribution network power is used as the independent variable, and the maximum fluctuation power of the power distribution network is used as the dependent variable to obtain the function f(p), where p represents the power distribution network power, and the value of f(p) represents the maximum fluctuation power. The non-continuous point function f(p) is smoothed to obtain a continuous function F(p). The function F(p) is used as the disturbance mapping parameter of the project.

[0099] Step S3. The historical power distribution power of each power distribution branch in the previous period is obtained. The current data is tested for the assumed period, the power consumption period, the average power, and the power consumption variance of the branch are calculated, and the power distribution power range of the power distribution network in the next period is predicted.

[0100] Step S3 includes:

[0101] Step S31. The function G(t) of the change of the power distribution power of the power distribution network with time in the previous period is obtained, where t represents time. The periodicity of the function G(t) is tested:

[0102] ;

[0103] Where 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], and S 2 is the cumulative variance of the function;

[0104] The size of the test period T is adjusted in the interval [0, E / 2] to maximize the autocorrelation coefficient ACE. The test period T0 and the cumulative variance S 2 are output at this time.

[0105] Step S32. According to the calculated test period, average value, and cumulative variance, the power distribution power range of the power distribution network in the next period is obtained. The power distribution power range at time t in the current period is represented as:

[0106] ;

[0107] wherein Md is a modulo function.

[0108] Step S4. Calculate the cumulative maximum disturbance of each scheduling arrangement in the scheduling selection set to the power distribution network according to the maximum value of the disturbance mapping parameter of each project in the power distribution range, and output the scheduling arrangement with the lowest cumulative maximum disturbance as the target scheduling arrangement.

[0109] Step S4 includes:

[0110] Step S41. Select a scheduling arrangement from the scheduling selection set, and the selected scheduling arrangement is denoted as [H1, H2, …Hr, …, Hn], wherein n is the number of projects, Hr is the rth project to be executed, and the disturbance mapping parameter F of the project Hr is calculated. r (p) the maximum value Ur of p∈ in the range, wherein t∈[HL, NE-HL-ΣL], HL is the end time of the previous project, NE is the end time of the period, and ΣL represents the total execution time of the remaining projects;

[0111] Step S42. Accumulate the Ur values of all projects in the scheduling arrangement to obtain the maximum disturbance Y of the scheduling arrangement to the power distribution network, and calculate the Y values of each scheduling arrangement in the scheduling selection set, and output the scheduling arrangement with the smallest Y value as the target scheduling arrangement.

[0112] Step S5. Build a sub-low voltage power grid between the medium-voltage power transmission network and the low-voltage power supply line, add the maximum voltage disturbance in the scheduling process to the standard power supply voltage as the working voltage of the sub-low voltage power grid, and connect the sub-low voltage power grid and the household power grid through a transformer or a voltage dividing circuit to convert the sub-low voltage into a standard voltage for household power supply.

[0113] Step S5 includes:

[0114] Step S51. Build a sub-low voltage power grid between the medium-voltage power transmission network and the low-voltage power supply line, so that the working voltage Q of the sub-low voltage power grid satisfies Q=Q0+Y / I0, wherein Q0 is the standard household voltage, and I0 is the power distribution current at the time of maximum disturbance;

[0115] Step S52. According to the target scheduling arrangement, inform the construction personnel to carry out project work, and during the project construction process, connect the sub-low voltage power grid and the household power grid through a transformer or a voltage dividing circuit to convert the sub-low voltage into a standard voltage for household power supply into the low-voltage power grid.

[0116] Embodiment: three projects need to be performed within one day, the latest execution time is 6 o'clock, 12 o'clock and 24 o'clock respectively, the execution time is 2 hours, 4 hours and 6 hours respectively, after the project permutation and combination, three scheduling arrangements [1, 2, 3], [2, 1, 3] and [1, 3, 2] are formed, the maximum power of the power distribution network at 2 o'clock, 4 o'clock, 6 o'clock, 12 o'clock and 18 o'clock is 20KW, 30KW, 50KW, 100KW and 80KW respectively, project 1, 2 and 3 have positive proportional disturbance relationship to the power distribution network, and the disturbance coefficients are 0.01, 0.04 and 0.05 respectively, then the cumulative disturbance of the scheduling arrangement [1, 2, 3] is the lowest, and the project is executed according to the order of project 1, project 2 and project 3.

[0117] It should be noted that the relational terms herein such as first and second and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any such actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0118] Finally, it should be noted that the above-described only for the preferred embodiments of the present application, and not for the purpose of limiting the application, although the foregoing detailed description of the application has been made with reference to the foregoing embodiments, for those skilled in the art, it still can be modified to the technical solutions recorded in the foregoing embodiments, or equivalent replacement of some of the technical features. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A data analysis method based on network configuration scheduling automation, characterized in that, The method comprises the following steps: Step S1. Input all the distribution network operation projects waiting for execution in the next period into the database, and arrange and combine them according to the constraint conditions of the latest starting execution time and the expected execution duration of the projects, output all the project scheduling arrangements meeting the constraint conditions, and obtain a scheduling selection set; Step S2. Perform live testing before the distribution line is connected to the grid, detect the maximum fluctuation power of the distribution network during the project execution, change the distribution power for multiple times of testing, fit the test results with the distribution power as the independent variable, and obtain the disturbance mapping parameter of the project; Step S3. Obtain the historical distribution power of each distribution branch in the previous period, perform hypothesis period test on the current data, calculate the power consumption period, average power and power consumption variance of the branch, and predict the distribution power range of the distribution network in the next period; Step S4. According to the maximum value of the disturbance mapping parameter of each project within the distribution power range, calculate the cumulative maximum disturbance of the project to the distribution network in the scheduling selection set one by one, and output the scheduling arrangement with the lowest cumulative maximum disturbance as the target scheduling arrangement; Step S5. Construct a sub-low-voltage power grid between the medium-voltage power grid and the low-voltage power supply line, add the maximum voltage disturbance in the scheduling process to the standard power supply voltage as the working voltage of the sub-low-voltage power grid, connect the sub-low-voltage power grid and the household power grid through a transformer or a voltage dividing circuit, and convert the sub-low-voltage to the standard voltage for household power supply; Step S3 comprises: Step S31. Obtain the change function G(t) of the distribution power of the distribution network with time in the previous period, wherein t represents time, and perform hypothesis test on the periodicity of the function G(t): ； where ACE is the autocorrelation coefficient, T is the test period of G(t), E is the length of the preceding 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 inspection period T in the interval [0, E / 2] to make the autocorrelation coefficient ACE reach the maximum value, output the inspection period T0 and the cumulative variance S at this time 2 ; Step S32. According to the calculated test period, average value and cumulative variance, obtain the distribution power range of the distribution network in the next period, and the distribution power range at time t in the current period is represented as: ； Wherein Md is the modulo function. 2.The data analysis method based on network scheduling automation of claim 1, wherein: Step S1 comprises: Step S11. Obtain all the distribution network operation projects waiting for execution in the next period from the project arrangement of the power supply unit, and the distribution network operation projects comprise live repair, power-off maintenance, bypass network replacement, medium-voltage power generation and node replacement; Step S12. Input the project information into the database, the project information comprises project name, type, expected execution duration and latest execution time, take the latest execution time of the project as the primary key and the expected execution duration as the secondary key to arrange all the to-be-executed projects; Step S13. Arrange all the projects within a predetermined period of time according to the constraint conditions of the expected execution duration and the latest execution time of the projects, so that the arranged project arrangement meets the following conditions: all the projects start execution before the latest execution time, only one project can be performed at the same time, and the starting execution time of all the projects is located within the period of time; If there is an arrangement mode meeting the conditions, output all the obtained project scheduling arrangements to form a scheduling selection set, if there is no arrangement mode meeting the conditions, report an error signal to the user that scheduling cannot be performed. 3.The data analysis method based on network scheduling automation of claim 2, wherein: Step S2 comprises: Step S21. Before the power distribution network is accessed, a live test is performed, and after the power of the power distribution network is stabilized at a fixed value, each power distribution network operation item is executed, the real-time power of the power distribution network during the execution of the item is detected, if the executed item is a power-off item, the real-time power of the standby power distribution network is detected, and after the item is completed, the maximum fluctuation power of the power distribution network during the execution is output; Step S22. The base power of the power distribution network is changed for retesting, and a function f(p) is obtained with the power of the power distribution network as the independent variable and the maximum fluctuation power of the power distribution network as the dependent variable, where p represents the power of the power distribution network, and the value of f(p) represents the maximum fluctuation power. The non-continuous point function f(p) is smoothed and fitted to obtain a continuous function F(p), and the function F(p) is taken as the disturbance mapping parameter of the item.

4. The data analysis method based on network scheduling automation of claim 3, wherein: Step S4 includes: Step S41. Selecting scheduling arrangement from the scheduling selection set in turn, the selected scheduling arrangement is denoted as [H1, H2, …Hr, …, Hn], wherein n is the number of projects, Hr is the rth project to be executed, and the disturbance mapping parameter F of the project Hr is calculated r (p) the maximum value Ur in the range of p∈ , wherein t∈[HL, NE-HL-∑L], HL is the end time of the previous project, NE is the end time of the period, and ∑L represents the total execution time length of the remaining projects. Step S42. The Ur values of all items in the scheduling arrangement are accumulated to obtain the maximum disturbance Y of the power distribution network caused by the current scheduling arrangement, the Y values of the scheduling arrangements in the scheduling selection set are calculated one by one, and the scheduling arrangement with the smallest Y value is taken as the target scheduling arrangement and output; Step S5 includes: Step S51. A sub-low-voltage power grid is constructed between the medium-voltage power transmission network and the low-voltage power supply line, so that the working voltage Q of the sub-low-voltage power grid satisfies Q=Q0+Y / I0, where Q0 is a standard household voltage, and I0 is the power distribution current at the moment when the maximum disturbance occurs; Step S52. The target scheduling arrangement is notified to the construction personnel to perform the item operation, and during the item construction process, the sub-low-voltage power grid and the household power grid are connected through a transformer or a voltage dividing circuit to convert the sub-low-voltage into a standard voltage for household use and enter the low-voltage power grid for power supply.

5. A data analysis system based on power network dispatch automation, the system performing the data analysis method based on power network dispatch automation recited in claim 1, characterized by, The system includes the following modules: an item scheduling module, an operation influence module, a power distribution network prediction module, a scheme execution module, and a sub-power grid module; The item scheduling module is used to input and receive all power distribution network operation items waiting to be executed, and to arrange and combine all items within a power distribution cycle with the latest start execution time and the expected execution time length of each operation item as the constraint conditions, so that the scheduling arrangement table obtained by the combination meets all item constraint conditions, and all scheduling arrangement tables meeting the conditions are output to form a scheduling selection set; The operation influence module is used to obtain the disturbance of each item execution process to the electrical parameters of the power distribution network during the live test, to fit the influence degree of the item process on each electrical parameter according to the disturbance results before and after the execution of the item, and to produce the disturbance mapping parameter of the item to each power distribution module of the power distribution network from the fitting result; The power distribution network prediction module is used to obtain the historical power consumption current of each power distribution branch in the previous cycle, to perform hypothesis cycle testing on the current data, to calculate the power consumption cycle, cycle power, and power consumption variance of the branch, to generate a power consumption prediction function of each power distribution branch in the current cycle, to input each scheduling arrangement in the scheduling selection set into a computer one by one, and to simulate according to the power consumption prediction function, the disturbance mapping parameter, and the item scheduling arrangement to obtain the time-domain disturbance of the power distribution network during the execution of each scheduling arrangement. The scheme execution module is configured to accumulate time domain limit disturbance of the scheduling arrangement in the power consumption period to obtain cumulative disturbance of each scheduling arrangement table to the power distribution network, select a scheduling arrangement table with the lowest cumulative disturbance in the set as a target scheduling arrangement, and notify the construction personnel to perform project operation according to the target scheduling arrangement at a fixed time; The secondary power grid module is configured to build a secondary low-voltage power grid between the medium-voltage power transmission network and the low-voltage power supply line by using the power storage element, add the maximum voltage disturbance caused by a single time in the scheduling arrangement process to the standard power supply voltage of the power distribution network to obtain a working voltage of the secondary low-voltage power grid, and connect the low-voltage power grid to the terminal low-voltage power grid through a transformer or a voltage dividing circuit, so that the standard voltage is output in the low-voltage power grid until the scheduling period ends.

6. The data analytics system based on network configuration scheduling automation of claim 5, wherein: The project scheduling module comprises an information storage unit and a constraint scheduling unit. The information storage unit is configured to store project execution information, including a project name, a type, a predicted execution duration, and a latest execution time. The constraint scheduling unit is configured to arrange and combine the projects, output all scheduling modes meeting the constraint conditions, and form a scheduling selection set. The work influence module comprises a power distribution network segmentation unit and a disturbance analysis unit. The power distribution network segmentation unit is configured to segment branches of the power distribution network, and obtain disturbance mapping parameters of the project to the power distribution network according to electrical parameter changes of each segmented part in the project execution process. The disturbance analysis unit is configured to fit the disturbance degree of the project progress to each electrical parameter of the power distribution network, and the electrical parameters include voltage, current, and total power supply.

7. The data analytics system based on the network configuration scheduling automation of claim 6, wherein: The power distribution network prediction module comprises a period inspection unit, a time point testing unit, and a power distribution simulation unit. The period inspection unit is configured to periodically inspect power consumption power of the power distribution network in a previous period, and fit a period, an average power, and a variance of the power consumption power. The time point testing unit is configured to input an execution sequence of each project in the scheduling arrangement into a computer, and calculate a time domain disturbance of a project execution time to the power distribution network every time a project is input. The power distribution simulation unit is configured to simulate changes of electrical parameters of the power distribution network in the project execution process.

8. The data analytics system based on network configuration scheduling automation of claim 7, wherein: The scheme execution module comprises a limit testing unit and a scheduling output unit. The limit testing unit is configured to calculate cumulative disturbance of each arrangement plan in the set to electrical parameters of the power distribution network. The scheduling output unit is configured to select a scheduling arrangement with the smallest cumulative disturbance as a target arrangement, and perform project operation according to the target scheduling arrangement.

9. The data analytics system based on the network configuration scheduling automation of claim 8, wherein: The secondary power grid module comprises a constant voltage branch unit, a limit voltage boosting unit, and a voltage transformation output unit. The constant voltage branch unit is configured to build a secondary low-voltage power grid by using a power storage element, and the power storage element includes a battery, an electrical switch, a transformer, and a circuit converter. The limit voltage boosting unit is configured to calculate a maximum disturbance voltage in the power distribution line when the target scheduling arrangement is executed, and use the maximum disturbance voltage as a voltage of the secondary low-voltage power grid. The voltage transformation output unit is configured to connect the secondary low-voltage power grid to a household low-voltage power grid through a transformer or a voltage dividing circuit, and convert the secondary low-voltage to a standard voltage for household power supply.

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