Anti-error verification method for dispatching operation of power distribution network

Abstract

The invention discloses an anti-error verification method for dispatching operation of a power distribution network, relates to the technical field of power distribution networks, and solves the problem that shunting conditions among different lines are not analyzed. According to the method, numerical evaluation analysis is carried out on related conditions of line convergence, a related numerical trend interval is determined, and whether a change trend of a corresponding electric power numerical value belongs to the numerical trend interval or not is evaluated based on the electric power numerical value generated in an actual operation process, so that line verification in a corresponding power grid dispatching process is completed. And whether the corresponding line has relevant abnormity is identified and calibrated in time, and countermeasures are taken in time, so that the comprehensiveness in the anti-error verification process is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network, and in particular to an anti-error verification method for distribution network dispatching operation. Background Art

[0002] The distribution network is an important part of the power system. It is composed of overhead lines, cables, poles, distribution transformers, disconnectors, reactive power compensation capacitors and some ancillary facilities. It is mainly responsible for distributing the electric energy transmitted by the high-voltage transmission network to user terminals, and plays an important role in distributing electric energy in the power grid.

[0003] The application with publication number CN102768705Bd discloses a distribution network model interoperability implementation and function verification method based on IEC61968, including the following steps: a) using primary and secondary equipment to model the distribution network IEC61968 standard; b) using transmission protocol to realize the communication function with the distribution network master station; c) simulating the abnormality of secondary equipment information transmission; d) simulating the distribution network simulation operation, FTU to perform protection simulation, switch to perform reclosing simulation, simulation pool to complete typical load curve editing and operation management, simulation algorithm is responsible for the overall operation scheduling of the distribution network model, simulation simulation distribution network actual operation status; e) simulating fault and abnormal test scenarios; f) performing terminal access capacity test. It is used in practical applications to simulate the distribution network first, improve the efficiency of distribution network construction and reduce investment costs.

[0004] When there are related dispatching operations for disconnection in its distribution network, the disconnection operation is generally performed based on specific dispatching measures. However, before disconnection, the diversion situation between different lines is not analyzed. Therefore, after the disconnection is completed, there will be power changes in the related currents of other lines, which will affect the specific dispatching operations of the relevant operators and their accurate judgment in actual dispatching operations. It is easy to cause the corresponding operators to think that there is a line fault, thus affecting the specific dispatching operations. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an anti-error verification method for distribution network dispatching operations, which solves the problem of failure to analyze the shunting conditions between different lines.

[0006] To achieve the above objectives, the present invention is implemented by the following technical solutions: a method for preventing misoperation verification of distribution network dispatching operation, comprising the following steps:

[0007] Step 1: Based on the dispatching instructions in the dispatching operation, lock the line to be disconnected, identify the associated lines that have power impact on the line to be disconnected from the historical completion data, and lock the value trend interval belonging to this associated line based on its specific power value changes. The specific sub-steps are:

[0008] S11. Identify the power data generated by the circuit to be disconnected in different disconnection processes from the historical completed data. For each disconnection process, define a set of processing cycles T, where the processing cycle T is a preset value. Identify the power value change curve generated by the corresponding associated circuit within the processing cycle T. The power value within the power value change curve does not include the power value flowing in the associated circuit, and belongs to the power value that is diverted.

[0009] S12, from the power value change curves of different associated lines, identify the power value change between adjacent nodes, lock its change value Bz, where Bz = the power value of the next node - the power value of the previous node, and lock the several groups of change values ​​Bz generated by locking this associated line within the processing period T, select the minimum value and the maximum value from the several groups of change values ​​Bz, and generate the change value interval belonging to this associated line;

[0010] S13, from the selected groups of switching processes, sequentially confirm the change value interval corresponding to each switching process belonging to the associated line, and then integrate the groups of change value intervals to determine the value trend interval of the associated line;

[0011] Step 2: Based on the determined circuit to be disconnected, a specific disconnection process is performed, and based on the power value change of the surrounding associated circuits during disconnection, whether the value change of the associated circuit is abnormal is identified, and the associated circuits are marked as over-standard circuits, under-standard circuits or normal circuits. The specific sub-steps are as follows:

[0012] S21. Based on the initial moment of the opening process, a set of monitoring periods T is determined in the future, and the monitoring period is consistent with the processing period time length. The power values ​​of the associated lines determined by the line to be opened within this monitoring period T are recorded, and the recorded power values ​​are calibrated as SZ i-k , where i represents different associated lines, k represents different moments, and Jz i =SZ i-j -SZ i-(j-1) Determine the power change value Jz between adjacent moments i , where j∈k, based on several sets of power change values ​​Jz i Determine the power variation range;

[0013] S22, based on the numerical trend interval determined for the associated line: if the power change interval ∈ the numerical trend interval, the associated line is marked as a normal line;

[0014] If the power variation range For the numerical trend interval, the middle values ​​of the two intervals are determined respectively, the middle value of the power change interval is calibrated as the power median value, and the middle value of the numerical trend interval is calibrated as the trend median value:

[0015] If the power median is less than the trend median, the associated line is marked as a low-standard line;

[0016] If the power median = trend median, the associated line is marked as a normal line;

[0017] If the power median value is greater than the trend median value, the associated line is marked as a high-standard line;

[0018] Step 3: Based on the determined excessive lines, if there is only a single group of excessive lines, it can be directly displayed. If there are multiple groups of excessive lines, identify the associated time periods in which the power values ​​in the corresponding lines are excessive. Based on the intersection of several associated time periods, assess whether such excessive lines are caused by opening oscillation. The specific sub-steps are:

[0019] S31, based on the different power change values ​​Jz confirmed by multiple groups of over-standard lines i , confirm the power change value Jz i For several time periods that exceed the corresponding numerical trend interval, the continuous time periods are integrated to confirm the associated time periods belonging to the corresponding exceeding-standard lines;

[0020] S32, cross-analyze the associated time periods belonging to different over-standard lines, lock the cross-period generated by the associated time periods corresponding to all over-standard lines, this cross-period belongs to the associated time period of all over-standard lines, calibrate the total duration of the cross-period as Z1, and calibrate the total duration of the associated time periods corresponding to different over-standard lines as ZZ q , where q represents different over-standard lines, using ZB q =Z1÷ZZ q The cross-period ratio ZB q , and then several groups of ZB q Perform mean processing to determine the judgment mean JJ. If JJ≤Y1, generate a trip oscillation impact signal for display, which means that the exceeding lines are all caused by the trip oscillation. If JJ>Y1, it means that the exceeding lines are not caused by the trip oscillation. Therefore, the determined exceeding lines can be directly displayed without generating any signal.

[0021] Step 4: Based on the determined low-standard line, by identifying the power value of the low-standard line before and after the assessment, calibrate and compare the different power values ​​at different times, assess whether there is current inflow to the low-standard line, and perform relevant abnormal assessment; the specific sub-steps are:

[0022] S41, determining the power value of the low-standard line at the moment before the monitoring period T and calibrating it as DL;

[0023] S42, identify the SZ generated by this low-standard line at different times within the monitoring period T i-k , determine the SZ corresponding to the initial time in this monitoring period T i-k , if SZ i-k ≤DL, it means that there is no current flowing into this low-standard line after the line is disconnected, so the abnormal signal of the interconnected line is directly generated for display; if SZ i-k >DL, directly display this low-standard line.

[0024] The present invention provides an anti-error verification method for distribution network dispatching operation. Compared with the prior art, it has the following beneficial effects:

[0025] The present invention performs numerical evaluation and analysis on the relevant conditions of line confluence in the historical completion data generated by the past opening operation, determines the relevant numerical trend interval, and then evaluates whether the change trend of the corresponding power value belongs to this numerical trend interval based on the power value generated in the actual operation process, thereby completing the line verification in the corresponding power grid dispatching process, identifying whether the corresponding line has relevant abnormalities and calibrating them in time, and taking timely countermeasures to ensure the comprehensiveness of its error-proof verification process;

[0026] Based on the calibrated relevant lines, different analysis and processing methods are executed step by step to evaluate whether the over-standard lines are caused by the corresponding opening switch oscillations, and whether the low-standard lines have no current flowing into them. The relevant operators can then perform the most appropriate dispatching operations based on the generated analysis results, which is convenient for the specific operations of the relevant operators. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the process of the present invention;

[0028] Figure 2 The figure is a schematic diagram of the determination flow of the associated lines of the present invention. DETAILED DESCRIPTION

[0029] 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.

[0030] Example 1

[0031] See also Figure 1The present application provides a method for preventing error verification of distribution network dispatching operation, comprising the following steps:

[0032] Step 1: Based on the dispatching instruction in the dispatching operation, lock the line to be disconnected, identify the associated lines that are affected by power in the line to be disconnected from the historical completion data, and lock the numerical trend interval of the associated line based on its specific power value change. Specifically, when the corresponding line to be disconnected performs the disconnection operation, the associated operating current of the line to be disconnected will flow into other interconnected related lines. Because there is related impedance between the lines, each different related line segment has a different power value change trend. The power value here is the corresponding current parameter. The specific sub-steps of locking the numerical trend interval of the corresponding associated line are:

[0033] S11. Identify the power data generated by the circuit to be disconnected in different disconnection processes from the historical completed data. For each disconnection process, define a set of processing cycles T, where the processing cycle T is a preset value, and its specific value is determined by the operator based on experience. Identify the power value change curve generated by the corresponding associated circuit within the processing cycle T. The power value within the power value change curve does not include the power value flowing in the associated circuit, and belongs to the power value that is diverted.

[0034] S12, from the power value change curves of different associated lines, identify the power value change between adjacent nodes, lock its change value Bz, where Bz = the power value of the next node - the power value of the previous node, and lock the several groups of change values ​​Bz generated by locking this associated line within the processing period T, select the minimum value and the maximum value from the several groups of change values ​​Bz, and generate the change value interval belonging to this associated line;

[0035] S13, from the selected groups of switching processes, sequentially confirm the change value interval corresponding to each switching process belonging to the associated line, and then integrate the groups of change value intervals to determine the value trend interval of the associated line;

[0036] Specifically, after the corresponding line is opened, the power values ​​associated with the related lines will change accordingly, and the shunting has corresponding shunting characteristics, so the shunting values ​​of each different associated line are not the same. Therefore, based on the corresponding numerical shunting situation, the numerical trend interval of the corresponding associated line can be locked. Based on the determined numerical trend interval, it is convenient to perform anti-mistake verification in the subsequent opening process, and identify whether the surrounding lines are operating normally after the line is opened, so as to facilitate the execution of subsequent related scheduling operations;

[0037] Step 2: Based on the determined circuit to be disconnected, a specific disconnection process is performed, and based on the power value change of the surrounding associated circuits during disconnection, whether the value change of the associated circuit is abnormal is identified, and the associated circuits are marked as over-standard circuits, under-standard circuits or normal circuits. Specifically, the abnormal value change is the situation that the corresponding power change value does not belong to the corresponding value trend interval, the over-standard circuit is the associated circuit that exceeds this value trend interval, and the under-standard circuit is the associated circuit whose corresponding power value is lower than this value trend interval;

[0038] Among them, combined Figure 2 The specific sub-steps for identifying whether the value change of this associated line is abnormal are:

[0039] S21. Based on the initial moment of the opening process, a set of monitoring periods T is determined in the future, and the monitoring period is consistent with the processing period time length. The power values ​​of the associated lines determined by the line to be opened within this monitoring period T are recorded, and the recorded power values ​​are calibrated as SZ i-k (The power values ​​recorded here include the power values ​​flowing within the corresponding associated lines. Therefore, the monitoring process here can only monitor the current changes of the corresponding lines. From the historical completed data, the specific power values ​​sent by the corresponding lines can be identified through power tracing. Therefore, the power data of the corresponding lines can be eliminated from the historical completed data, but cannot be eliminated in this specific analysis and evaluation process. If it needs to be eliminated, it will take a long time to trace the power source). Where i represents different associated lines, k represents different moments, and Jz is used. i =SZ i-j -SZ i-(j-1) Determine the power change value Jz between adjacent moments i , where j∈k, based on several sets of power change values ​​Jz i Determine the power variation range;

[0040] S22, based on the numerical trend interval determined for the associated line: if the power change interval ∈ the numerical trend interval, the associated line is marked as a normal line;

[0041] If the power variation range For the numerical trend interval, the middle values ​​of the two intervals are determined respectively (that is, the set of values ​​at the center of the corresponding interval), the middle value of the power change interval is calibrated as the power median, and the middle value of the numerical trend interval is calibrated as the trend median:

[0042] If the power median is less than the trend median, the associated line is marked as a low-standard line;

[0043] If the median power value = the median trend value, the associated line is marked as a normal line (there is only corresponding numerical fluctuation, but there is not much deviation overall);

[0044] If the power median value is greater than the trend median value, the associated line is marked as a high-standard line;

[0045] Specifically, when the switch is opened, each associated line with power interconnection will have corresponding power value fluctuations. If the power value fluctuations are normal, it means that the related power diverted by this associated line after the switch is opened is a normal diversion. If there is an abnormal calibration during the relevant calibration, that is, a low-caliber line or a high-caliber line, it is necessary to conduct a trend assessment analysis to determine whether there is a specific value abnormality in this associated line;

[0046] Step 3: Based on the determined over-standard lines, if there is only a single group of over-standard lines, it can be directly displayed. If there are multiple groups of over-standard lines, identify the associated time periods in which the power values ​​in the corresponding lines are over-standard. Based on the intersection of several associated time periods, assess whether such over-standard lines are caused by opening oscillation. Specifically, the corresponding lines have related power oscillations during the opening process. After the power oscillation occurs, the power values ​​of some lines will suddenly increase. If the increased value is large, it will cause the corresponding maximum value of the power change interval to be large, so it will be confirmed as the corresponding over-standard line. In fact, there is no big problem with such lines, so relevant oscillation analysis is needed;

[0047] Among them, the specific sub-steps for assessing whether such excessive line is caused by tripping oscillation are:

[0048] S31, based on the different power change values ​​Jz confirmed by multiple groups of over-standard lines i , confirm the power change value Jz i For several time periods that exceed the corresponding numerical trend interval, the continuous time periods are integrated to confirm the associated time periods belonging to the corresponding exceeded lines (the associated time periods belonging to the same group of exceeded lines may be one group or multiple groups);

[0049] S32, cross-analyze the associated time periods belonging to different over-standard lines, lock the cross-period generated by the associated time periods corresponding to all over-standard lines, this cross-period belongs to the associated time period of all over-standard lines (that is, a unified cross-period generated by all associated time periods, which exists in the associated time period of each over-standard line), calibrate the total duration of the cross-period as Z1, and calibrate the total duration of the associated time periods corresponding to different over-standard lines as ZZ q , where q represents different over-standard lines, using ZB q =Z1÷ZZ q The cross-period ratio ZB q , and then several groups of ZB qPerform mean processing to determine the judgment mean JJ. If JJ>Y1, it means that the over-standard line is not caused by the opening oscillation. Therefore, the determined over-standard line can be directly displayed without generating any signal. If JJ≤Y1, the opening oscillation influence signal is generated for display, which means that the over-standard line is basically caused by the opening oscillation. Such over-standard line has almost no abnormality.

[0050] Example: It is proposed that there are three groups of over-standard lines, namely A, B and C. Based on the power change value of A, the associated time periods of A are determined as: 2-5 and 9-10, the associated time period of B is determined as: 2-6, and the associated time period of B is determined as: 2-6 and 9-9.5;

[0051] Therefore, the crossing period generated between multiple over-standard lines is 2-5. This crossing period is the crossing period generated and determined uniformly by the three over-standard lines A, B and C. Based on the determined crossing period, the specific proportion value ZB generated by this crossing period is locked. q , the proportion of its cross-period A is 75%, the proportion of its cross-period B is 75%, and the proportion of its cross-period C is 72.7%;

[0052] The average value determined based on the three groups of proportions is 74.2%, and the proposed Y1 value is 75%, which means that it is in a non-compliant state, which means that the corresponding excessive line is not caused by tripping oscillation.

[0053] Step 4: Based on the determined low-standard line, by identifying the power value of the low-standard line before and after the assessment, calibrate and compare the different power values ​​at different times, assess whether there is current inflow to the low-standard line, and perform relevant abnormal assessment, wherein the specific sub-steps of the assessment are:

[0054] S41, determining the power value of the low-standard line at the moment before the monitoring period T and calibrating it as DL;

[0055] S42, identify the SZ generated by this low-standard line at different times within the monitoring period T i-k , determine the SZ corresponding to the initial time in this monitoring period T i-k , if SZ i-k ≤DL, it means that no current flows into the low-standard line after the line is opened. It can be confirmed that there are related problems in the line connected between this low-standard line and the opened line, so the abnormal signal of the interconnected line is directly generated for display. Otherwise, the low-standard line can be directly displayed.

[0056] The subsequent relevant operators, based on the confirmed abnormal signal of the interconnection line, conduct relevant inspections on the interconnection line between the relevant low-standard line and this disconnection line:

[0057] For the confirmed trip oscillation impact signal, there is no need to perform correlation check on the related over-standard lines. If the related lines only have normal lines and over-standard lines caused by trip oscillation, the related dispatching work can be directly performed;

[0058] For the confirmed low-standard lines or over-standard lines, if there is no abnormality in the interconnected lines for the low-standard lines and the over-standard lines are not caused by the tripping oscillations, it is assessed whether there are associated power fluctuations in the lines to perform subsequent related dispatching work.

[0059] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0060] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for preventing error verification of distribution network dispatching operation, characterized in that: The following steps are involved: Step 1: Based on the dispatching instruction in the dispatching operation, the line to be disconnected is locked, and from the historical completion data, the associated lines that are affected by the power of the line to be disconnected are identified, and based on the specific power value changes, the value trend interval belonging to the associated line is locked; Step 2: Based on the determined circuit to be disconnected, a specific disconnection process is performed, and based on the power value change of the surrounding associated circuits during disconnection, whether the value change of the associated circuit is abnormal is identified, and the associated circuits are marked as over-standard circuits, under-standard circuits or normal circuits; Step 3: Based on the determined over-standard lines, if there is only a single group of over-standard lines, it can be directly displayed; if there are multiple groups of over-standard lines, identify the associated time periods when the power values ​​in the corresponding lines are over-standard, and based on the intersection of several associated time periods, assess whether such over-standard lines are caused by opening oscillation; Step 4: Based on the determined low-standard line, by identifying the power values ​​of this low-standard line before and after the assessment, calibrate and compare the different power values ​​at different times, assess whether there is current inflow to this low-standard line, and perform relevant abnormal assessment.

2. A method for preventing error verification of distribution network dispatching operation according to claim 1, characterized in that: In the step 1, the specific sub-steps of locking the numerical trend interval of the corresponding associated line are: S11. Identify the power data generated by the circuit to be disconnected in different disconnection processes from the historical completed data. For each disconnection process, define a set of processing cycles T, where the processing cycle T is a preset value. Identify the power value change curve generated by the corresponding associated circuit within the processing cycle T. The power value within the power value change curve does not include the power value flowing in the associated circuit, and belongs to the power value that is diverted. S12, from the power value change curves of different associated lines, identify the power value change between adjacent nodes, lock its change value Bz, where Bz = the power value of the next node - the power value of the previous node, and lock the several groups of change values ​​Bz generated by locking this associated line within the processing period T, select the minimum value and the maximum value from the several groups of change values ​​Bz, and generate the change value interval belonging to this associated line; S13. From the selected groups of switching processes, sequentially confirm the change value interval corresponding to each switching process belonging to the associated line, and then integrate the groups of change value intervals to determine the numerical trend interval of the associated line.

3. A method for preventing error verification of distribution network dispatching operation according to claim 2, characterized in that: In step 2, the specific sub-steps for identifying whether the value change of the associated line is abnormal are: S21. Based on the initial moment of the opening process, a set of monitoring periods T is determined in the future, and the monitoring period is consistent with the processing period time length. The power values ​​of the associated lines determined by the line to be opened within this monitoring period T are recorded, and the recorded power values ​​are calibrated as SZ i-k , where i represents different associated lines, k represents different moments, and Jz i =SZ i-j -SZ i-(j-1) Determine the power change value Jz between adjacent moments i , where j∈k, based on several sets of power change values ​​Jz i Determine the power variation range; S22, numerical trend determined based on this associated line Interval: If the power change interval ∈ the numerical trend interval, the associated line is marked as a normal line; If the power variation range For the numerical trend interval, the middle values ​​of the two intervals are determined respectively, the middle value of the power change interval is calibrated as the power median value, and the middle value of the numerical trend interval is calibrated as the trend median value: If the power median is less than the trend median, the associated line is marked as a low-standard line; If the power median = trend median, the associated line is marked as a normal line; If the median power value is greater than the median trend value, the associated line will be marked as a high-standard line.

4. The method for preventing error verification of distribution network dispatching operation according to claim 1, characterized in that: In step 3, the specific sub-steps for assessing whether such excessive line is caused by opening oscillation are: S31, based on the different power change values ​​Jz confirmed by multiple groups of over-standard lines i , confirm the power change value Jz i For several time periods that exceed the corresponding numerical trend interval, the continuous time periods are integrated to confirm the associated time periods belonging to the corresponding exceeding-standard lines; S32, cross-analyze the associated time periods belonging to different over-standard lines, lock the cross-period generated by the associated time periods corresponding to all over-standard lines, this cross-period belongs to the associated time period of all over-standard lines, calibrate the total duration of the cross-period as Z1, and calibrate the total duration of the associated time periods corresponding to different over-standard lines as ZZ q , where q represents different over-standard lines, using ZB q =Z1÷ZZ q The cross-period ratio ZB q , and then several groups of ZB q Perform mean processing to determine the judgment mean JJ. If JJ≤Y1, generate a trip oscillation impact signal for display, indicating that the lines exceeding the standard are all caused by trip oscillation.

5. A method for preventing mis-verification of distribution network dispatching operation according to claim 4, characterized in that: In the step S32, if JJ>Y1, it means that the excessive line is not caused by the tripping oscillation, so the determined excessive line can be directly displayed without generating any signal.

6. The method for preventing error verification of distribution network dispatching operation according to claim 1, characterized in that: In step 4, the specific sub-steps for evaluating whether there is current inflow into the low-standard line are: S41, determining the power value of the low-standard line at the moment before the monitoring period T and calibrating it as DL; S42, identify the SZ generated by this low-standard line at different times within the monitoring period T i-k , determine the SZ corresponding to the initial time in this monitoring period T i-k , if SZ i-k ≤DL, it means that there is no current flowing into this low-standard line after the line is disconnected, so the abnormal signal of the interconnected line is directly generated for display.

7. A method for preventing error verification of distribution network dispatching operation according to claim 6, characterized in that: In step S42, if SZ i-k >DL, directly display this low-standard line.

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