CN112395715A - Assessment method and system for wiring bus electric network maintenance plan - Google Patents
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Abstract
The invention discloses an assessment method and system for a wiring bus electric network maintenance plan, and belongs to the technical field of electric power grids. The method comprises the following steps: modeling each 3/2 wiring bus in the wiring bus electric network in a preset node modeling mode to determine a topological model of the electric network; carrying out topological risk grading aiming at a topological model of the electric network, and determining the risk grade of the topological model; establishing a maintenance planning fitness function according to the risk level, and determining a maintenance schedule of the topological model according to the maintenance planning fitness function; and carrying out maintenance state load flow calculation, obtaining a fault scanning result, and evaluating a maintenance plan according to the fault scanning result. The invention realizes intelligent analysis, evaluation and optimization of 3/2 bus node network overhaul and shutdown plans.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to an evaluation method and system for a wiring bus electric network maintenance plan.
Background
According to the electric power system safety and stability guide rule and the electric power system safety and stability calculation standard, the overhaul state power grid belongs to a normal mode, and the electric power system must meet the N-1 checking principle. For larger regional grids, 500 kv sites can be as many as hundreds, and in the case of maintenance, the risk level cannot meet the actual requirement based on manual analysis (for example, a month of maintenance elements are mostly tens of orders of magnitude, and the workload of analyzing and optimizing 30 operation modes in a given few days is beyond the scope of the capability of manual analysis).
The current situation and importance of the bus element analysis in the 500 kv electrical wiring mode 3/2;
the 3/2 electric wiring mode is mostly adopted in the 500 KV electric wiring mode, and under the full wiring mode, the safety and stability are high, and the capacity of power supply and element electric characteristic change is not influenced under the condition of one-time bus tripping. However, with the continuous development of the power grid, the 500 kv grid has become the main grid structure of the large power grid, and the condition of "one-time bus maintenance outage" or "one-time bus maintenance outage + 500 kv element maintenance outage in the same station (i.e. 3/2 wiring type multiple element maintenance outage)" is frequently encountered, and as the power grid is gradually enlarged, the condition of simultaneous outage of multiple 500 kv substations in the network is also frequently occurred. The energy consumption for overhauling the risk simulation analysis risk check is more and more time-consuming.
The existing simulation system takes the mainstream PSASP comprehensive stable program database of China as an example, two methods are often used for modeling, however, for a bus-return overhaul, the graphic expression of the same-tower line tripping equipment is relatively deficient, the setting of simulation fault is relatively complex, the large-scale simultaneous stop high-speed analysis is not facilitated, and the setting of two kinds of 3/2 wiring serious faults is relatively more dependent on the setting of a manual simulation fault card.
Disclosure of Invention
In order to solve the problems, the invention provides an evaluation method for a wiring bus electric network maintenance plan, which comprises the following steps:
modeling each 3/2 wiring bus in the wiring bus electric network in a preset node modeling mode to determine a topological model of the electric network;
carrying out topological risk grading aiming at a topological model of the electric network, and determining the risk grade of the topological model;
establishing a maintenance planning fitness function according to the risk level, and determining a maintenance schedule of the topological model according to the maintenance planning fitness function;
the method comprises the steps of obtaining the disturbance recorded by the WAMS system of a wiring bus electric network in a month and in a year similar to the month, adopting an excitation injection means to inject a topological model, selecting an operation mode with high adaptability, carrying out time domain simulation on the topological model according to an overhaul schedule, carrying out overhaul state load flow calculation, obtaining a fault scanning result, and evaluating an overhaul plan according to the fault scanning result.
Optionally, performing topological risk classification, including:
inputting the number of the shutdown bus node, and disconnecting all branches connected with the number of the shutdown bus node;
the nodes of the non-shutdown buses are invalidated, and all the connecting branches are invalidated;
controlling the circuit, the main transformer element or the same tower to trip, disabling the connected nodes in the electric network, and disabling all the connected branches;
and carrying out topological risk grading.
Optionally, the risk classes include: 1 st, 2 nd and 3 rd stages;
the level 1 is unacceptable risk, and the judgment criteria of the level 1 are as follows:
together with the service element, the trip element and the belt trip element exceed a preset first integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 50% of the original number of sections;
the level 2 is a high-level risk, and the judgment criteria of the level 2 and the judgment criteria are as follows:
together with the service element, the trip element and the belt trip element exceed a preset second integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 30% of the original number of sections;
the 3 rd level is the intermediate risk, and the 3 rd level judgment standard is as follows:
together with the service element, the trip element and the belt trip element exceed a preset third integer bit threshold;
in conjunction with the service element, the trip element and the belt trip element resulted in 500 kv of a given gather loss element exceeding 10% of the original number of sections.
Optionally, when the level 1 risk level occurs, feeding back to the initial maintenance schedule, and adjusting the maintenance period.
Optionally, determining a maintenance schedule of the topology model includes:
setting a maintenance sequence of a period aiming at the topological model, and determining an operation mode;
determining the number of the elements to be overhauled and shut down, numbering the elements, and determining the start date and the time length of the shut down in a defined time zone;
and generating a maintenance schedule according to the outage starting date and the outage duration in a given time zone.
The invention also provides an evaluation system for the wiring bus electric network maintenance plan, which comprises the following steps:
the model building module is used for modeling each 3/2 wiring bus in the wiring bus electric network in a preset node modeling mode and determining a topological model of the electric network;
the risk grade grading module is used for carrying out topological risk grading on the topological model of the electric network and determining the risk grade of the topological model;
the maintenance plan generating module is used for establishing a maintenance plan arrangement fitness function according to the risk level and determining a maintenance plan table of the topological model according to the maintenance plan arrangement fitness function;
and the evaluation module is used for acquiring the disturbance recorded by the WAMS system of the wiring bus electric network in the month and the year similar to the month, injecting the disturbance into the topological model by adopting an excitation injection means, selecting an operation mode with high adaptability, carrying out time domain simulation on the topological model according to the maintenance schedule, carrying out maintenance state load flow calculation, acquiring a fault scanning result, and evaluating the maintenance schedule according to the fault scanning result.
Optionally, performing topological risk classification, including:
inputting the number of the shutdown bus node, and disconnecting all branches connected with the number of the shutdown bus node;
the nodes of the non-shutdown buses are invalidated, and all the connecting branches are invalidated;
controlling the circuit, the main transformer element or the same tower to trip, disabling the connected nodes in the electric network, and disabling all the connected branches;
and carrying out topological risk grading.
Optionally, the risk classes include: 1 st, 2 nd and 3 rd stages;
the level 1 is unacceptable risk, and the judgment criteria of the level 1 are as follows:
together with the service element, the trip element and the belt trip element exceed a preset first integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 50% of the original number of sections;
the level 2 is a high-level risk, and the judgment criteria of the level 2 and the judgment criteria are as follows:
together with the service element, the trip element and the belt trip element exceed a preset second integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 30% of the original number of sections;
the 3 rd level is the intermediate risk, and the 3 rd level judgment standard is as follows:
together with the service element, the trip element and the belt trip element exceed a preset third integer bit threshold;
in conjunction with the service element, the trip element and the belt trip element resulted in 500 kv of a given gather loss element exceeding 10% of the original number of sections.
Optionally, when the level 1 risk level occurs, feeding back to the initial maintenance schedule, and adjusting the maintenance period.
Optionally, determining a maintenance schedule of the topology model includes:
setting a maintenance sequence of a period aiming at the topological model, and determining an operation mode;
determining the number of the elements to be overhauled and shut down, numbering the elements, and determining the start date and the time length of the shut down in a defined time zone;
and generating a maintenance schedule according to the outage starting date and the outage duration in a given time zone.
The invention realizes intelligent analysis, evaluation and optimization of 3/2 bus node network overhaul and shutdown plans.
Drawings
FIG. 1 is a flow chart of an assessment method for a patch bus electrical network service plan in accordance with the present invention;
FIG. 2 is a node connection diagram of an evaluation method for a wiring bus electric network overhaul plan according to the present invention;
FIG. 3 is a node connection diagram of an evaluation method for a wiring bus electrical network overhaul plan according to the present invention;
FIG. 4 is a flow chart of a maintenance schedule arrangement fitness function established by the evaluation method for the wiring bus electric network maintenance schedule of the present invention;
figure 5 is a block diagram of an assessment system for a patch bus electrical network service plan in accordance with the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
The invention provides an evaluation method for a wiring bus electric network maintenance plan, which comprises the following steps of:
modeling each 3/2 wiring bus in the wiring bus electric network in a preset node modeling mode to determine a topological model of the electric network;
carrying out topological risk grading aiming at a topological model of the electric network, and determining the risk grade of the topological model;
establishing a maintenance planning fitness function according to the risk level, and determining a maintenance schedule of the topological model according to the maintenance planning fitness function;
the method comprises the steps of obtaining the disturbance recorded by the WAMS system of a wiring bus electric network in a month and in a year similar to the month, adopting an excitation injection means to inject a topological model, selecting an operation mode with high adaptability, carrying out time domain simulation on the topological model according to an overhaul schedule, carrying out overhaul state load flow calculation, obtaining a fault scanning result, and evaluating an overhaul plan according to the fault scanning result.
Performing topological risk grading, comprising:
inputting the number of the shutdown bus node, and disconnecting all branches connected with the number of the shutdown bus node;
the nodes of the non-shutdown buses are invalidated, and all the connecting branches are invalidated;
controlling the circuit, the main transformer element or the same tower to trip, disabling the connected nodes in the electric network, and disabling all the connected branches;
and carrying out topological risk grading.
The risk classes include: 1 st, 2 nd and 3 rd stages;
together with the service element, the trip element and the belt trip element exceed a preset first integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 50% of the original number of sections;
level 2 is a high level risk, and the 2 nd and the judgment criteria are:
together with the service element, the trip element and the belt trip element exceed a preset second integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 30% of the original number of sections;
grade 3 is a medium risk, and the judgment criteria of grade 3 are as follows:
together with the service element, the trip element and the belt trip element exceed a preset third integer bit threshold;
in conjunction with the service element, the trip element and the belt trip element resulted in 500 kv of a given gather loss element exceeding 10% of the original number of sections.
And when the 1 st level risk level appears, feeding back to the initial maintenance schedule, and adjusting the maintenance period.
Determining a maintenance schedule for the topology model, comprising:
setting a maintenance sequence of a period aiming at the topological model, and determining an operation mode;
determining the number of the elements to be overhauled and shut down, numbering the elements, and determining the start date and the time length of the shut down in a defined time zone;
and generating a maintenance schedule according to the outage starting date and the outage duration in a given time zone.
The invention is further illustrated by the following examples:
for each 3/2 wiring mode, a node modeling method as shown in FIG. 2 and FIG. 3 is adopted;
a 500 kv station 3/2 is wired to have N matching strings.
Let 3/2 wire two loops of bus lines as bus1 and bus2, respectively, and thus have only two bus lines, and therefore only two numbers 1 and 2, in the form of XX-501 and XX-502.
For any interval electrical distribution string, a node is arranged between the variable switch and the middle switch, obviously, two nodes are arranged in one completed distribution string, every other node is expressed as a three-section type, and the three-section type is as the shape of 'XX 500-i-BOOL', XX500-1-1, the 1 st section is the name of a transformer substation, the 2 nd section is the specific serial number of the ith string, and the 3 rd section is the serial number of a bus side bus close to the node.
And 2, carrying out topology risk grading based on the network connection relationship established in the first step:
2.1, inputting the shutdown bus node number, and disconnecting all branches connected with the shutdown bus node number; accordingly, the coding method can completely correspond to all switches when the bus is shut down in physics, and completely corresponds to the actual physical switch condition.
2.2 Fault simulation topology operation
The scanning and checking faults are divided into two types:
when the other bus is in voltage loss, the non-shutdown bus node corresponding to the coding is deactivated, and all the connecting branches are deactivated, and accordingly, the coding method can completely correspond to all relevant switches disconnected on the 3/2 connection line when the double buses are in voltage loss physically.
The line or main transformer element N-1 or same tower N-2 is tripped, at this time, the corresponding connected node in the station is deactivated, and all the connected branches are deactivated, and correspondingly, the coding method can physically correspond to all the related switches which are disconnected on 3/2 connection when the line or main transformer element N-1 or same tower N-2 is tripped.
2.3 topological Risk level (preliminary Risk level)
(1) along with the service element, the trip element and the band trip element exceed N no (integer bit threshold);
(2) in conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset (section) loss element exceeding 50% of the original number of sections;
level 2 is high risk:
(1) together with the service element, the trip element and the band trip element exceed N _ high (integer bit threshold);
(2) in conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset (section) loss element exceeding 30% of the original number of sections;
grade 3 is intermediate risk:
(1) along with the service element, the trip element and the belt trip element exceed N _ midle (integer bit threshold);
(2) in conjunction with the service element, the trip element and the belt trip element result in a given 500 kv gather (section) loss element exceeding 10% of the original number of sections;
if unacceptable risks are found, feeding back an initial maintenance plan scheduling table, and adjusting the maintenance period; and enters the fitness function.
And 3, step 3: establishing a 500 KV maintenance plan arrangement fitness function:
for a power grid with M500 kv substations, L branches are provided. Given a cycle (e.g., month or week) sequencing overhaul sequence, there are K total operating modes.
Setting the number of the elements to be overhauled and stopped as I, and setting a ternary array Plan _ I as (node _ I, I, I _ day); and node _ i is the number of the maintenance element, the numerical value of any one i can be a natural number from 1 to K, i _ day is the outage duration of the corresponding maintenance outage element for the outage starting date in a given time interval.
According to the maintenance process, in K given working days, i corresponding to the node _ i reported for maintenance can be randomly selected from 1 to K during initialization, and a maintenance schedule table shown in table 1 is formed.
TABLE 1
3.1, establishing a solution form:
and (3) setting fitness function definition: (x) min (i));
and selecting a genetic algorithm to carry out maintenance, arrangement and optimization so as to find an arrangement scheme with lower risk of the operation mode in K in the K period.
3.2, optimizing iteration step, as shown in fig. 4:
step 3.2.1, randomly generating a batch of element maintenance plans, namely randomly generating a group of integers within a 1-K interval for the numerical value of the 2 nd column of Plan _ I, and randomly generating a group of initial solutions; and arranges a maintenance schedule in the form of table 1 according to the corresponding ternary arrays.
And Step 3.2.2, longitudinally generating K maintenance state operation modes according to the maintenance schedule formed in the Step 3.2.1, and mapping the K maintenance state operation modes into all topology expression tables in the Step 'second Step'.
And Step 3.2.3, carrying out risk grading on K operation modes according to the steps in section 2.3 to form K sub-fitness functions of the solution. And taking the average value to form a total fitness value.
And Step 3.2.4, adjusting the solution population by adopting a genetic algorithm selection, crossover and mutation operator, and forming the fitness of each solution of a new population.
And Step 3.2.5, judging whether the genetic algorithm termination condition is met, if so, entering a termination Step, determining the optimal fitness solution as a maintenance plan, and if not, entering Step 3.2.3 for iteration.
Step 4, time domain simulation transient fault scanning adopting historical statistic disturbance injection
Based on the planned maintenance table determined in the fourth step, a typical fault scan is conducted for each mode.
The disturbance recorded by the WAMS system in the past month and similar months is injected by adopting an excitation injection method. The advantage is that it is more realistic. And selecting an operation mode with higher fitness (higher risk) to carry out thematic simulation.
And based on time domain simulation, carrying out maintenance state load flow calculation.
The present invention also proposes an evaluation system 200 for a patch bus electrical network overhaul plan, as shown in fig. 5, comprising:
the model building module 201 is used for modeling each 3/2 wiring bus in the wiring bus electric network in a preset node modeling mode and determining a topological model of the electric network;
a risk level grading module 202, which performs topological risk grading on the topological model of the electric network and determines the risk level of the topological model;
the maintenance plan generating module 203 is used for establishing a maintenance plan arrangement fitness function according to the risk level and determining a maintenance plan table of the topological model according to the maintenance plan arrangement fitness function;
the evaluation module 204 is used for obtaining the disturbance recorded by the WAMS system of the wiring bus electric network in the month and the year similar to the month, injecting the disturbance into the topological model by adopting an excitation injection means, selecting an operation mode with high adaptability, carrying out time domain simulation on the topological model according to the maintenance schedule, carrying out maintenance state load flow calculation, obtaining a fault scanning result, and evaluating the maintenance schedule according to the fault scanning result.
Performing topological risk grading, comprising:
inputting the number of the shutdown bus node, and disconnecting all branches connected with the number of the shutdown bus node;
the nodes of the non-shutdown buses are invalidated, and all the connecting branches are invalidated;
controlling the circuit, the main transformer element or the same tower to trip, disabling the connected nodes in the electric network, and disabling all the connected branches;
and carrying out topological risk grading.
The risk classes include: 1 st, 2 nd and 3 rd stages;
together with the service element, the trip element and the belt trip element exceed a preset first integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 50% of the original number of sections;
level 2 is a high level risk, and the 2 nd and the judgment criteria are:
together with the service element, the trip element and the belt trip element exceed a preset second integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 30% of the original number of sections;
grade 3 is a medium risk, and the judgment criteria of grade 3 are as follows:
together with the service element, the trip element and the belt trip element exceed a preset third integer bit threshold;
in conjunction with the service element, the trip element and the belt trip element resulted in 500 kv of a given gather loss element exceeding 10% of the original number of sections.
And when the 1 st level risk level appears, feeding back to the initial maintenance schedule, and adjusting the maintenance period.
Determining a maintenance schedule for the topology model, comprising:
setting a maintenance sequence of a period aiming at the topological model, and determining an operation mode;
determining the number of the elements to be overhauled and shut down, numbering the elements, and determining the start date and the time length of the shut down in a defined time zone;
and generating a maintenance schedule according to the outage starting date and the outage duration in a given time zone.
The invention realizes intelligent analysis, evaluation and optimization of 3/2 bus node network overhaul and shutdown plans.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be implemented by adopting various computer languages, such as object-oriented programming language Java and transliterated scripting language JavaScript.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A method for assessment of a patch bus electrical network service plan, the method comprising:
modeling each 3/2 wiring bus in the wiring bus electric network in a preset node modeling mode to determine a topological model of the electric network;
carrying out topological risk grading aiming at a topological model of the electric network, and determining the risk grade of the topological model;
establishing a maintenance planning fitness function according to the risk level, and determining a maintenance schedule of the topological model according to the maintenance planning fitness function;
the method comprises the steps of obtaining the disturbance recorded by the WAMS system of a wiring bus electric network in a month and in a year similar to the month, adopting an excitation injection means to inject a topological model, selecting an operation mode with high adaptability, carrying out time domain simulation on the topological model according to an overhaul schedule, carrying out overhaul state load flow calculation, obtaining a fault scanning result, and evaluating an overhaul plan according to the fault scanning result.
2. The method of claim 1, the performing topological risk ranking, comprising:
inputting the number of the shutdown bus node, and disconnecting all branches connected with the number of the shutdown bus node;
the nodes of the non-shutdown buses are invalidated, and all the connecting branches are invalidated;
controlling the circuit, the main transformer element or the same tower to trip, disabling the connected nodes in the electric network, and disabling all the connected branches;
and carrying out topological risk grading.
3. The method of claim 1, the risk level comprising: 1 st, 2 nd and 3 rd stages;
the level 1 is unacceptable risk, and the judgment criteria of the level 1 are as follows:
together with the service element, the trip element and the belt trip element exceed a preset first integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 50% of the original number of sections;
the level 2 is a high-level risk, and the judgment criteria of the level 2 and the judgment criteria are as follows:
together with the service element, the trip element and the belt trip element exceed a preset second integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 30% of the original number of sections;
the 3 rd level is the intermediate risk, and the 3 rd level judgment standard is as follows:
together with the service element, the trip element and the belt trip element exceed a preset third integer bit threshold;
in conjunction with the service element, the trip element and the belt trip element resulted in 500 kv of a given gather loss element exceeding 10% of the original number of sections.
4. The method of claim 3, wherein the risk level of level 1 is fed back to an initial service schedule to adjust a service period when the risk level occurs.
5. The method of claim 1, the determining a service schedule for a topology model, comprising:
setting a maintenance sequence of a period aiming at the topological model, and determining an operation mode;
determining the number of the elements to be overhauled and shut down, numbering the elements, and determining the start date and the time length of the shut down in a defined time zone;
and generating a maintenance schedule according to the outage starting date and the outage duration in a given time zone.
6. An assessment system for a patch bus electrical network service plan, the system comprising:
the model building module is used for modeling each 3/2 wiring bus in the wiring bus electric network in a preset node modeling mode and determining a topological model of the electric network;
the risk grade grading module is used for carrying out topological risk grading on the topological model of the electric network and determining the risk grade of the topological model;
the maintenance plan generating module is used for establishing a maintenance plan arrangement fitness function according to the risk level and determining a maintenance plan table of the topological model according to the maintenance plan arrangement fitness function;
and the evaluation module is used for acquiring the disturbance recorded by the WAMS system of the wiring bus electric network in the month and the year similar to the month, injecting the disturbance into the topological model by adopting an excitation injection means, selecting an operation mode with high adaptability, carrying out time domain simulation on the topological model according to the maintenance schedule, carrying out maintenance state load flow calculation, acquiring a fault scanning result, and evaluating the maintenance schedule according to the fault scanning result.
7. The system of claim 6, the performing topological risk ranking, comprising:
inputting the number of the shutdown bus node, and disconnecting all branches connected with the number of the shutdown bus node;
the nodes of the non-shutdown buses are invalidated, and all the connecting branches are invalidated;
controlling the circuit, the main transformer element or the same tower to trip, disabling the connected nodes in the electric network, and disabling all the connected branches;
and carrying out topological risk grading.
8. The system of claim 6, the risk level comprising: 1 st, 2 nd and 3 rd stages;
the level 1 is unacceptable risk, and the judgment criteria of the level 1 are as follows:
together with the service element, the trip element and the belt trip element exceed a preset first integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 50% of the original number of sections;
the level 2 is a high-level risk, and the judgment criteria of the level 2 and the judgment criteria are as follows:
together with the service element, the trip element and the belt trip element exceed a preset second integer bit threshold; or
In conjunction with the service element, the trip element and the belt trip element result in a given 500 kv cutset loss element exceeding 30% of the original number of sections;
the 3 rd level is the intermediate risk, and the 3 rd level judgment standard is as follows:
together with the service element, the trip element and the belt trip element exceed a preset third integer bit threshold;
in conjunction with the service element, the trip element and the belt trip element resulted in 500 kv of a given gather loss element exceeding 10% of the original number of sections.
9. The system of claim 8, wherein the risk level of level 1 is fed back to an initial service schedule to adjust a service period when the risk level occurs.
10. The system of claim 6, the determining a service schedule for the topology model, comprising:
setting a maintenance sequence of a period aiming at the topological model, and determining an operation mode;
determining the number of the elements to be overhauled and shut down, numbering the elements, and determining the start date and the time length of the shut down in a defined time zone;
and generating a maintenance schedule according to the outage starting date and the outage duration in a given time zone.
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