CN115033832A - Method, system and terminal for automatically checking balance of distribution network power failure maintenance plan - Google Patents
Method, system and terminal for automatically checking balance of distribution network power failure maintenance plan Download PDFInfo
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Abstract
The invention provides a method, a system and a terminal for automatically checking balance of a distribution network power failure maintenance plan, and belongs to the technical field of intelligent power grids. The method comprises the following steps: s1: acquiring a distribution network power failure maintenance plan; s2: acquiring an equipment topological graph of all equipment in the power failure maintenance plan range of the distribution network; s3: acquiring defective device information; s4: acquiring a constraint condition; s5: performing automatic check balance on the power failure maintenance plan based on the equipment topological graph, the defective equipment information and the constraint condition to obtain a risk check result; s6: and adjusting the distribution network power failure maintenance plan based on the risk checking result. The system includes an AI checking engine. The terminal includes a processor and a memory. According to the invention, the compliance of the maintenance plan is intelligently checked through weighting and integrating the relevant professional constraint conditions, so that careless omission caused by manual statistics is reduced, and the time consumed by plan balance work can be shortened.
Description
Technical Field
The invention belongs to the technical field of intelligent power grids, and particularly relates to a method, a system and a terminal for automatically checking balance of a distribution network power failure maintenance plan, computer equipment for realizing the method and a computer readable storage medium.
Background
With the acceleration of the modernization process of the society, the dependence of production and life on electric energy is larger and larger, and the loss caused by power failure to national economy far exceeds the loss of an electric power system. The annual blackout maintenance of power transmission and distribution equipment is an inevitable factor in the cause of power failure of a power system, and occupies a large proportion in the event of power failure.
The current distribution network power failure maintenance plan balance adopts professional meeting holding balance, relevant constraint conditions need manual statistics and verification, manual work is easy to leak, multiple professional balancing meetings need to be held to determine a final plan, time consumption is long, and early preparation work of plan specific implementation is delayed.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method, a system and a terminal for automatically checking balance of a distribution network power failure maintenance plan, computer equipment for realizing the method and a computer readable storage medium.
In a first aspect of the present invention, a method for automatically checking balance of distribution network power failure maintenance plans is provided, the method comprising the following steps:
s1: acquiring a distribution network power failure maintenance plan, wherein the maintenance plan comprises a power failure maintenance plan range, power failure equipment, a power failure time period of each equipment and equipment association attributes;
s2: acquiring an equipment topological graph of all equipment in the power failure maintenance plan range of the distribution network;
s3: acquiring defective device information;
s4: acquiring a constraint condition;
s5: performing automatic check balance on the power failure maintenance plan based on the equipment topological graph, the defective equipment information and the constraint condition to obtain a risk check result;
s6: and adjusting the distribution network power failure maintenance plan based on the risk checking result.
Specifically, the step S3 includes:
acquiring log flow information of all equipment in the power failure maintenance plan range of the distribution network;
and determining the defective equipment information based on the log flow information.
The constraint conditions obtained in step S4 include:
time constraints, equipment constraints, frequency constraints, dual power user constraints, different stop constraints, and scheduling workload constraints.
The step S5 includes:
and based on the power supply path of the equipment topological graph analysis equipment, performing overall analysis on the power failure equipment in the power failure maintenance plan, identifying whether power supply relations exist among the equipment to be power failure or not, and combining the equipment to be power failure with the power supply relations.
As a further improvement, after the step S6, the method further includes:
s7: the distribution network OMS system is in butt joint with the distribution network OMS system, and the adjusted distribution network power failure maintenance plan is released;
the publishing comprises:
and displaying the adjusted risk points in the distribution network power failure maintenance plan execution process in a visualization manner.
In the step S5, the automatic check balance performs weighted risk assessment by using repeated equipment power failure, out-of-limit scheduling bearing capacity, conflict with power conservation tasks, exceeding the limit of the number of users in a single power failure, and repeated power failure of users as indexes, so as to obtain a risk check result.
As a further improvement, the step S5 further includes: generating a power failure risk analysis report based on an AI checking engine and giving an adjustment suggestion;
the step S6 further includes: and simulating and executing the result of the recovery operation of the distribution network equipment after the adjusted distribution network power failure maintenance plan by the AI checking engine.
In a second aspect of the invention, a system for automatically checking balance of a distribution network power failure maintenance plan is provided, and the system comprises an equipment topological graph generation module, a repeated power failure equipment inspection module, a defective equipment automatic association module, a constraint condition input module and a power failure plan auxiliary adjustment module.
As an execution core, the system further comprises an AI checking engine;
the device topological graph generating module is used for generating a device topological graph after acquiring all devices in the distribution network power failure maintenance plan range;
the repeated blackout equipment inspection module is used for integrally analyzing blackout equipment in a blackout maintenance plan based on a power supply path of equipment topological graph analysis equipment, identifying whether power supply relations exist among equipment to be blackout or not, and combining the equipment to be blackout with the power supply relations;
the automatic association module of the defective equipment acquires log flow information of all equipment within the power failure maintenance plan range of the distribution network, compares the log flow information with power failure equipment in the current power failure maintenance plan of the distribution network after determining the information of the defective equipment, and automatically recommends to add the power failure maintenance plan if finding that the equipment which is not listed in the power failure maintenance plan is not listed;
the constraint condition input module is used for setting time constraint, equipment constraint, frequency constraint, dual-power-supply user constraint, different stop constraint and scheduling workload constraint;
the AI checking engine executes automatic checking balance on the power failure maintenance plan based on the equipment topological graph, the defective equipment information and the constraint condition to obtain a risk checking result;
the power failure plan auxiliary adjustment module is used for reminding risk points which do not pass the check based on the risk caused by the power failure plan found in the risk check result and constraint condition check process to the power grid, and assisting operating personnel to perform targeted adjustment on the power failure plan.
The constraint condition input module comprises:
the holiday time constraint input submodule: in the configured holiday time period input by the holiday time constraint input submodule, the power failure plan is not allowed to be executed;
dual-power user constraint submodule: the system is used for establishing a dual-power user table, the dual-power supply line of the same user cannot be powered off at the same time, when the maintenance plan is intelligently arranged, the system automatically retrieves the line information in the dual-power user table, checks the line information with all power-off equipment in the power-off plan, and gives and prompts, displays alarm information and use constraint rules if conflicts exist;
non-stop constraint submodule: establishing an equipment table for not stopping at the same time, and aiming at the line equipment of the same tower double-circuit line and the line equipment erected on the same pole not to be powered off at the same time;
the scheduling workload constraint submodule: and setting the upper limit of the scheduling workload of each day or each hour for the same scheduling mechanism.
The various steps of the above-described method of the present invention may be performed automatically in the form of computer program instructions.
Specifically, in a third aspect of the present invention, an apparatus for automatically checking balance of distribution network blackout maintenance plans is provided, the apparatus includes a processor and a memory, the memory stores computer executable program instructions, and the processor executes the executable program instructions to implement the method of the first aspect.
The invention can also be expressed as a portable automatic balance checking terminal, which comprises a processor and a memory, wherein the memory stores data execution flow instructions, and the processor executes the data execution flow instructions to realize all the steps of the method for automatically checking and balancing the distribution network power failure maintenance plan.
Further, in a fourth aspect of the present invention, the present invention may be implemented as a computer medium having stored thereon computer program instructions for implementing the method of the first aspect by executing the program instructions.
Similarly, in a fifth aspect of the present invention, the present invention can also be embodied as a computer program product, which is loaded into a computer readable storage medium and executed by a processor, thereby implementing the method of the first aspect.
Aiming at the problems that related constraint conditions in the prior art need manual statistics and verification, omission is easily caused by manual work, multiple professional balancing meetings need to be called to determine a final plan, time consumption is long, and early preparation work of plan specific implementation is delayed, the invention intelligently checks the compliance of a maintenance plan by weighting integral of the constraint conditions of related professionals, reduces omission caused by manual statistics and can shorten time consumption of plan balancing work. After the risk check is successful, the power failure plan is collected, the power failure plan is issued and synchronously pushed to a distribution network OMS system, the online rapid flow is converted into the plan, sufficient time is reserved for specific implementation to carry out work early-stage preparation, and the work efficiency can be effectively improved.
Further advantages of the invention will be apparent in the detailed description section in conjunction with the drawings attached hereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for automatically checking balance of a distribution network blackout maintenance plan according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for automatically checking balance of a distribution network blackout maintenance plan according to still another preferred embodiment of the present invention;
FIG. 3 is a schematic overall flow chart of a method for automatically checking balance of a distribution network power failure maintenance plan according to the present invention;
FIG. 4 is a schematic diagram of various modules that perform the methods described in FIGS. 1-3;
FIG. 5 is a diagram of a system architecture for automatically checking balance of a distribution network blackout service plan that implements the methods described in FIGS. 1-3;
FIG. 6 is a schematic diagram of a visualization architecture layout according to an aspect of the present invention;
fig. 7 is a schematic structural diagram of a terminal device implementing the method described in fig. 1-3.
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for automatically checking balance of a distribution network blackout maintenance plan according to an embodiment of the present invention.
In fig. 1, the method includes the illustrated steps S1-S6, each of which is implemented as follows:
s1: acquiring a distribution network power failure maintenance plan, wherein the maintenance plan comprises a power failure maintenance plan range, power failure equipment, a power failure time interval of each equipment and equipment association attributes;
s2: acquiring an equipment topological graph of all equipment in the power failure maintenance plan range of the distribution network;
s3: acquiring defective device information;
s4: acquiring a constraint condition;
s5: performing automatic check balance on the power failure maintenance plan based on the equipment topological graph, the defective equipment information and the constraint condition to obtain a risk check result;
s6: and adjusting the distribution network power failure maintenance plan based on the risk checking result.
In step S1, the device-related attribute is to automatically interface the wiring diagram and the current operating state of the system such as EMS based on the primary wiring diagram, to display the charged coloring state of the device, and to use the adjacent device in the same charged coloring state as the related device.
In step S2, analyzing the power supply path of the equipment based on the topological relation and the operating state of the equipment, and performing overall analysis on the equipment in the power outage plan list;
in step S3, defective device auto-association is implemented. Acquiring log flow information of all equipment in the power failure maintenance plan range of the distribution network; and determining the defective equipment information based on the log flow information.
Further, step S3 compares the information of the defect flow (or log) with the current existing equipment in the power outage plan, finds that the equipment not listed in the power outage plan, and automatically recommends to add the power outage plan;
the constraint conditions obtained in step S4 include:
time constraints, equipment constraints, frequency constraints, dual power user constraints, different stop constraints, and scheduling workload constraints.
The above constraints are briefly introduced one by one as follows:
1) holiday time constraints
Aiming at important activities, important meetings, major holidays, power conservation and other special dates, the system supports the configuration function of a special time period, and the power failure plan is not allowed to be executed in the configuration time period.
2) Available time period constraint checking
Aiming at the power failure plans of different maintenance types and working types, the system supports the configuration function of the available time period of the power failure plan, and for the configured maintenance types or working types, the maintenance can be carried out only in the configured time period.
3) Important equipment and power protection user constraint checking
The method supports distinguishing important equipment, can set a constraint rule of a non-blackout time period aiming at specific important equipment, and establishes an important equipment constraint table.
4) Power failure frequency constraint check
And automatically collecting historical power failure records of power failure users within two months in the power failure scheme.
5) Dual power user constraints
A dual-power user meter is established, and the dual-power supply line of the same user cannot be powered off at the same time.
6) Constraint of not stop at the same time
And establishing an equipment table for not simultaneously stopping, wherein the equipment table is mainly used for not simultaneously stopping power of equipment such as the same-tower double-circuit line and the line erected on the same pole. .
7) Scheduling workload constraints
Aiming at the same scheduling mechanism, the upper limit of the scheduling workload (scheduling operation commanding work) of each day or each hour is set, and if the initialization value of the scheduling workload (scheduling operation commanding work) corresponding to one distribution network maintenance plan is 2 and the upper limit of the workload of the scheduling mechanism per hour can be set to be 10, at most 5 distribution network maintenance works can be scheduled and commanded per hour.
The step S5 includes:
and based on the power supply path of the equipment topological graph analysis equipment, performing overall analysis on the power failure equipment in the power failure maintenance plan, identifying whether power supply relations exist among the equipment to be power failure or not, and combining the equipment to be power failure with the power supply relations.
More specifically, in the step S5, the automatic check balance performs weighted risk assessment by using equipment repeated power outage, scheduling bearing capacity out-of-limit, power conservation task conflict, exceeding of the number of users in a single power outage, and repeated power outage of users as indicators, so as to obtain a risk check result.
Specifically, the step S5 further includes: generating a power failure risk analysis report based on an AI checking engine and giving an adjustment suggestion;
the step S6 further includes: and simulating and executing the result of the recovery operation of the distribution network equipment after the adjusted distribution network power failure maintenance plan by the AI checking engine.
Taking the constraint condition as an example, the algorithm for the AI checking engine to perform checking is as follows:
1) holiday time constraints
When the maintenance plan is intelligently arranged, the system automatically executes the holiday restriction checking function, automatically adjusts the maintenance plan time with conflict, and displays the adjustment detail data and the use restriction rule.
2) Available time period constraint checking
When the maintenance plan is intelligently arranged, the system automatically executes the available time period constraint checking function, automatically adjusts the maintenance plan time with conflict, and displays the adjustment detail data and the use constraint rule.
3) Important equipment and power protection user constraint checking
When the maintenance plan is intelligently arranged, the system automatically executes the important equipment constraint checking function, automatically adjusts the maintenance plan time with conflict, and displays the adjustment detail data and the use constraint rule.
4) Power failure frequency constraint check
The method has the advantages that data collection is automatically carried out on historical power failure records of power failure users within two months in the power failure scheme, and the condition of high power failure frequency is automatically reminded, so that customer complaint management and control and power supply reliability reference are provided.
5) Dual power user constraints
When the maintenance plan is intelligently arranged, the system automatically retrieves the line information in the dual-power-supply user table, checks the line information with all power-off equipment in the power-off plan, and gives and prompts to display alarm information and use constraint rules if conflicts exist.
6) Constraint of not stop at the same time
When the maintenance plan is intelligently arranged, the system automatically retrieves the line information in the equipment list which can not be stopped simultaneously, checks the line information with all the power-off equipment in the power-off plan, and prompts, displays warning information and uses constraint rules if conflicts exist.
7) Scheduling workload constraints
When the maintenance plan is intelligently arranged, the system automatically executes the scheduling workload constraint checking function, and if conflicts exist, the system gives and prompts, displays alarm information and uses constraint rules.
Generally, the method can generate a monthly maintenance plan by taking an annual maintenance plan as a basic frame. According to the monthly maintenance plan, through constraint conditions such as festival holiday time, available time periods, important equipment blackout unavailable time periods, repeated blackout equipment, double-power-supply users, unavailable simultaneous stop equipment, combinable blackout equipment, inspection center workload, scheduling operation command workload and the like, the system realizes intelligent checking of the compliance of the maintenance plan according to constraint rules, and intelligent arrangement is carried out on the distribution network monthly maintenance plan.
On the basis of fig. 1, see fig. 2.
After the step S6, the method of fig. 2 further includes:
s7: the distribution network OMS system is in butt joint with the distribution network OMS system, and the adjusted distribution network power failure maintenance plan is released;
the publishing comprises:
and displaying the adjusted risk points in the distribution network power failure maintenance plan execution process in a visualization manner.
Specifically, based on the risks caused by the power failure plan found in the power failure risk checking and constraint condition checking process to the power grid, the risk points which do not pass the checking are reminded, and the operation personnel are assisted to carry out targeted adjustment on the power failure plan. Many situations such as delay and cancellation of distribution network day-ahead planning come from the influence of extremely severe weather.
1) When the temperature of the region is lower than-10 degrees or higher than 32 degrees, the service logic and weak point reasoning of the power grid are needed, the overhaul of the main transformer side is intelligently delayed, and the influence on the safety of the power grid due to the ultrahigh load is avoided.
2) When a certain area is in extremely severe weather such as thunderstorm or heavy rain to torrential rain, the outdoor maintenance plan does not accord with the safe maintenance condition of the power grid, and related day-ahead maintenance is intelligently reminded and delayed.
3) When the precipitation in a certain area exceeds a certain amount, the historical data of the equipment is needed to analyze which areas of the equipment are possibly soaked, and the intelligent reminding is used for protecting in advance.
4) The power failure plan can be temporarily added.
And the power failure plan confirmed by the management personnel is issued by docking with the distribution network OMS. And the risk points in the power failure plan execution process are issued and transferred along with the power failure plan.
Based on the embodiments of fig. 1-2, in the automatic check balance in step S5, the risk check result is obtained by performing weighted risk assessment using repeated equipment outage, out-of-limit scheduling bearing capacity, conflict of power protection tasks, exceeding of the number of users in a single outage, and repeated user outage as indicators.
The step S5 further includes: generating a power failure risk analysis report based on an AI checking engine and giving an adjustment suggestion;
the step S6 further includes: and simulating and executing the result of the recovery operation of the distribution network equipment after the adjusted distribution network power failure maintenance plan by the AI checking engine.
More specific details of the process can be found in the example of fig. 3.
Based on fig. 3, the embodiment utilizes an artificial intelligence technology, realizes intelligent analysis of the power supply capacity of the distribution network, balances the online power failure plan, intelligently arranges the distribution network modes, provides intelligent generation and execution of a one-key distribution network power supply transfer plan, provides an optimal power supply path decision, changes the traditional operation mode management to the artificial intelligence direction, and improves the distribution network regulation and control operation management efficiency.
When the power failure plan is submitted, the planned all-element risk check can be automatically completed, and the existing risks can be displayed in real time. Risk checking is mainly based on two dimensions of safety and reliability of a power grid and high-quality service of customers, the power failure plan risk full elements are deeply summarized, and power failure risks are accurately identified by 8 core elements, namely repeated power failure of equipment, out-of-limit dispatching bearing capacity, conflict of power maintenance tasks, exceeding of the number of users in single power failure, repeated power failure of users and the like. And dividing the power failure risk into early warning grades according to different risk influence degrees.
If the power failure plan check result has no risk, the plan automatically takes effect; if the plan has risks, the plan needs to be effective after on-line approval of relevant responsibility units. The risk types such as equipment safety and the number of households, the power failure risk of a user, the scheduling bearing capacity is out of limit and is separately signed by related departments, and the scheduling departments determine approval according to the risk grades and the like after approval.
Specifically, the power outage risk value f is quantified as follows:
f＝λ 1 f s +λ 2 f m
wherein λ is 1 、λ 2 Is an adjustable weight parameter; lambda [ alpha ] 1 +λ 1 ＝1，λ 1 、λ 2 ∈(0，1)；
d i The initial value is 1; once the power failure of the equipment is repeated, d i Self-increment by 1; each self increment produces a d i ；
M i With initial value of single power failureThe reference number of the number, the number of the user exceeds the standard once in single power failure, then M i Self-increment by 1; each self increment produces an M i ；
T is the upper limit value of the scheduling bearing capacity;
C i for the power conservation mission conflict value, the initial value is 1, when a conflict is detected, the value is self-increased by 0.5 (because the conflict involves two parties), and each self-increase generates a C i ；
f s Dimension embodying the quality of service of the customer, f m The dimension of safety and reliability of the power grid is embodied.
Power cut plan declaration initiation
The method provides various power failure equipment selection modes such as automatic association of defective equipment, equipment list selection, primary wiring diagram selection and the like. Generation of the annual plan and generation of the monthly plan may be selected.
1) Automatic association of defective devices: the information of the defect flow (or log) is butted and compared with the equipment in the current power failure plan, the equipment which is not listed in the power failure plan is found, and the power failure plan is automatically recommended to be added;
2) and selecting a device list: the method comprises the steps of obtaining an equipment list by butting an EMS system, selecting power failure equipment through the equipment list, supporting screening and fuzzy query of a substation (line) to which the equipment belongs, and supporting first letter search during screening query;
3) primary wiring diagram selection: automatically connecting a wiring diagram and the current operation state of systems such as EMS and the like, and displaying the charged coloring state of the equipment; and selecting the power failure equipment on the basis of the point diagram.
4) And aiming at the declared equipment, automatically pushing the trip, grounding and non-stop record of the corresponding line within one year for the reference of maintenance plan content arrangement and fault reason analysis.
Repeated blackout equipment inspection
And analyzing the power supply path of the equipment based on the topological relation and the running state of the equipment, performing overall analysis on the equipment in the power failure plan list, identifying whether the power supply relation exists between the equipment to be powered off or not, combining the maintenance work with the power supply relation, and avoiding repeated power failure.
Outage risk analysis report
1) And meanwhile, grouping power failure equipment: adding the devices with crossed time ranges into a group according to the devices contained in the power failure plan and the scheduled maintenance time;
2) and docking with the DAS, and performing exploration analysis based on a load transfer strategy of the power failure equipment set: analyzing initial power failure equipment and power flow distribution by taking the simultaneous power failure of equipment sets in a power failure equipment group as an initial operation mode of load transfer strategy analysis; on the basis, possible load transfer strategies of the power failure equipment and the overload equipment are analyzed based on topology, and the strategies corresponding to all the points to be processed are combined to form a series of strategy combinations;
3) the DAS analyzes and returns information about influences (power failure range and power flow distribution) caused by different transfer strategies: aiming at different strategy combinations, the recovery result of the power failure equipment and the load flow adjustment result of the heavy overload equipment are integrally analyzed, information such as the load which cannot recover power transmission finally, the heavy overload condition and the like is summarized, and the condition that the load rate exceeds a certain limit value is directly filtered according to a load flow control target.
4) And generating a power failure analysis report through power failure plan checking according to the power failure plan content.
Planning arrangement constraint condition checking
And checking the result of the planning based on the planning constraint logic library, specifically referring to the checking of the aforementioned 7 constraint conditions, which is not repeated here.
Power outage plan issue
And docking with a distribution network OMS system, and issuing a power failure plan after mode personnel confirm. And the risk points in the power failure plan execution process are issued and transferred along with the power failure plan.
Fig. 4 illustrates the above flow in a further isolation in a modular fashion, where the AI checking engine is the execution core.
Fig. 5 is an architecture diagram of a system for automatic balancing verification of distribution network blackout service plans that implements the method described in fig. 1 or 2.
In fig. 5, the system comprises an equipment topology map generation module, a repeated blackout equipment inspection module, a defective equipment automatic association module, a constraint condition input module and a blackout plan auxiliary adjustment module,
the system also includes an AI checking engine;
the equipment topological graph generating module is used for generating an equipment topological graph after acquiring all equipment in the distribution network power failure maintenance plan range;
the repeated power failure equipment inspection module is used for integrally analyzing the power failure equipment in the power failure maintenance plan based on the power supply path of the equipment topological graph analysis equipment, identifying whether power supply relations exist among equipment to be power failure or not, and combining the equipment to be power failure with the power supply relations;
the automatic association module of the defective equipment acquires log flow information of all equipment within the power failure maintenance plan range of the distribution network, compares the log flow information with power failure equipment in the current power failure maintenance plan of the distribution network after determining the information of the defective equipment, and automatically recommends to add the power failure maintenance plan if finding that the equipment which is not listed in the power failure maintenance plan is not listed;
the constraint condition input module is used for setting time constraint, equipment constraint, frequency constraint, dual-power-supply user constraint, different stop constraint and scheduling workload constraint;
the AI checking engine performs automatic checking balance on the power failure maintenance plan based on the equipment topological graph, the defective equipment information and the constraint condition to obtain a risk checking result;
the power failure plan auxiliary adjustment module is used for reminding risk points which do not pass the check based on the risk caused by the power failure plan found in the risk check result and constraint condition check process to the power grid, and assisting operating personnel to perform targeted adjustment on the power failure plan.
More specifically, the constraint condition input module includes:
the holiday time constraint input submodule: in the configured holiday time period input by the holiday time constraint input submodule, the power failure plan is not allowed to be executed;
dual-power user constraint submodule: the system is used for establishing a dual-power-supply user table, the dual-power-supply power supply line of the same user cannot be powered off at the same time, when the maintenance plan is intelligently arranged, the system automatically searches line information in the dual-power-supply user table, the line information is checked with all power-off equipment in the power-off plan, and if conflicts exist, prompt is given, and alarm information and use constraint rules are displayed;
non-stop constraint submodule: establishing an equipment table for not stopping at the same time, and aiming at the line equipment of the same tower double-circuit line and the line equipment erected on the same pole not to be powered off at the same time;
a scheduling workload constraint submodule: and setting the upper limit of the scheduling workload of each day or each hour for the same scheduling mechanism.
The system of fig. 5 further includes a blackout service plan import module and a visual reporting module;
the power failure maintenance plan importing module is used for importing a power failure maintenance plan of an initial version;
and the visualization report module is used for visually displaying the risk points in the execution process of the adjusted distribution network power failure maintenance plan.
In particular, the visualization architecture is described with reference to fig. 6.
In fig. 6, by using an artificial intelligence technology, intelligent analysis of the power supply capacity of the distribution network is realized, the online power failure plan is balanced, the distribution network mode is intelligently arranged, a one-key type distribution network power supply transfer plan is intelligently generated and executed, an optimal power supply path decision is provided, the traditional operation mode management is changed to the artificial intelligence direction, and the distribution network regulation and control operation management efficiency is improved.
In conclusion, the invention reduces careless omission caused by manual statistics and greatly shortens the time consumption of plan balancing work by intelligently checking the compliance of the maintenance plan through AI. Plan to report fast circulation on the balancing line, reserve sufficient time for plan concrete implementation and carry out work preliminary stage preparation, effectively promote work efficiency.
The various steps of the above-described method of the present invention may be performed automatically in the form of computer program instructions.
Accordingly, further embodiments provide an apparatus for automatic balancing verification of distribution network blackout service plans, the apparatus comprising a processor and a memory, the memory having stored thereon computer-executable program instructions, the executable program instructions being executable by the processor for performing the foregoing method steps.
Referring to fig. 7, further embodiments may also be embodied as a portable automatic balance checking terminal, where the terminal includes a processor, a memory, and an AI checking engine, where the memory stores data execution flow instructions, and the AI checking engine cooperates with the processor to execute the data execution flow instructions, so as to implement all steps of the method for automatically checking balance of a distribution network outage maintenance plan.
Further embodiments are implemented as a computer medium having computer program instructions stored thereon, where the computer program instructions are executed to implement all the steps of the method for automatically checking the balance of the distribution network blackout maintenance plan.
Further embodiments are implemented as a computer program product, which is loaded on a computer readable storage medium, and executes the program by a processor, thereby implementing all steps of the method for automatically checking and balancing distribution network outage service plans.
Aiming at the problems that related constraint conditions in the prior art need manual statistics and verification, omission is easily caused by manual work, multiple professional balancing meetings need to be called to determine a final plan, time consumption is long, and early preparation work of plan specific implementation is delayed, the invention intelligently checks the compliance of a maintenance plan by weighting integral of the constraint conditions of related professionals, reduces omission caused by manual statistics and can shorten time consumption of plan balancing work. After the risk check is successful, the power failure plan is collected, the power failure plan is issued and synchronously pushed to a distribution network OMS system, the online rapid flow is converted into the plan, sufficient time is reserved for specific implementation to carry out work early-stage preparation, and the work efficiency can be effectively improved.
It should be noted that the present invention can solve a plurality of technical problems or achieve corresponding technical effects, but does not require that each embodiment of the present invention solves all the technical problems or achieves all the technical effects, and an embodiment that separately solves one or several technical problems or achieves one or more improved effects also constitutes a separate technical solution.
Claims (10)
1. A method for automatically checking balance of distribution network power failure maintenance plans is characterized by comprising the following steps:
s1: acquiring a distribution network power failure maintenance plan, wherein the maintenance plan comprises a power failure maintenance plan range, power failure equipment, a power failure time interval of each equipment and equipment association attributes;
s2: acquiring an equipment topological graph of all equipment in the power failure maintenance plan range of the distribution network;
s3: acquiring defective device information;
s4: acquiring a constraint condition;
s5: performing automatic check balance on the power failure maintenance plan based on the equipment topological graph, the defective equipment information and the constraint condition to obtain a risk check result;
s6: and adjusting the distribution network power failure maintenance plan based on the risk checking result.
2. The method for automatically checking the balance of the distribution network power failure overhaul plan as claimed in claim 1, characterized in that:
the step S5 includes:
and based on the power supply path of the equipment topological graph analysis equipment, the power failure equipment in the power failure maintenance plan is integrally analyzed, whether a power supply relation exists between the equipment to be powered off or not is identified, and the equipment to be powered off with the power supply relation is combined.
3. The method for automatically checking the balance of the distribution network power failure maintenance plan as claimed in claim 1, wherein the method comprises the following steps:
the step S3 includes:
acquiring log flow information of all equipment in the distribution network power failure maintenance plan range;
and determining the defective equipment information based on the log flow information.
4. The method for automatically checking the balance of the distribution network power failure maintenance plan as claimed in claim 1, wherein the method comprises the following steps:
the constraint conditions obtained in step S4 include:
time constraints, equipment constraints, frequency constraints, dual power user constraints, different stop constraints, and scheduling workload constraints.
5. The method for automatically checking the balance of the distribution network power failure maintenance plan as claimed in claim 1, wherein the method comprises the following steps:
after the step S6, the method further includes:
s7: the distribution network OMS system is in butt joint with the distribution network OMS system, and the adjusted distribution network power failure maintenance plan is released;
the publishing comprises:
and displaying the adjusted risk points in the distribution network power failure overhaul plan execution process in a visualization manner.
6. The method for automatically checking the balance of the distribution network power failure maintenance plan as claimed in claim 1 or 2, wherein the method comprises the following steps:
in the step S5, the automatic check balance performs weighted risk assessment by using equipment repeated power failure, scheduling bearing capacity out-of-limit, power conservation task conflict, exceeding of the number of users in a single power failure, and repeated power failure of users as indexes, so as to obtain a risk check result.
7. The method for automatically checking the balance of the distribution network power failure maintenance plan as claimed in claim 5, wherein the method comprises the following steps:
the step S5 further includes: generating a power failure risk analysis report based on an AI checking engine and giving an adjustment suggestion;
the step S6 further includes: and simulating and executing the result of the recovery operation of the distribution network equipment after the adjusted distribution network power failure maintenance plan by the AI checking engine.
8. A system for automatically checking balance of distribution network power failure maintenance plans comprises an equipment topological graph generation module, a repeated power failure equipment inspection module, a defect equipment automatic association module, a constraint condition input module and a power failure plan auxiliary adjustment module,
the system also includes an AI checking engine;
the equipment topological graph generating module is used for generating an equipment topological graph after acquiring all equipment in the distribution network power failure maintenance plan range;
the repeated blackout equipment inspection module is used for integrally analyzing blackout equipment in a blackout maintenance plan based on a power supply path of equipment topological graph analysis equipment, identifying whether power supply relations exist among equipment to be blackout or not, and combining the equipment to be blackout with the power supply relations;
the automatic association module of the defective equipment acquires log flow information of all equipment within the power failure maintenance plan range of the distribution network, compares the log flow information with power failure equipment in the current power failure maintenance plan of the distribution network after determining the information of the defective equipment, and automatically recommends to add the power failure maintenance plan if finding that the equipment which is not listed in the power failure maintenance plan is not listed;
the constraint condition input module is used for setting time constraint, equipment constraint, frequency constraint, dual-power-supply user constraint, different stop constraint and scheduling workload constraint;
the AI checking engine performs automatic checking balance on the power failure maintenance plan based on the equipment topological graph, the defective equipment information and the constraint condition to obtain a risk checking result;
the power failure plan auxiliary adjustment module is used for reminding risk points which do not pass the check based on the risk caused by the power failure plan found in the risk check result and constraint condition check process to the power grid, and assisting operating personnel to perform targeted adjustment on the power failure plan.
9. The system for distribution network blackout maintenance plan automatic check balancing of claim 8, wherein:
the constraint condition input module comprises:
the holiday time constraint input submodule: in the configured holiday time period input by the holiday time constraint input submodule, the power failure plan is not allowed to be executed;
dual-power user constraint submodule: the system is used for establishing a dual-power-supply user table, the dual-power-supply power supply line of the same user cannot be powered off at the same time, when the maintenance plan is intelligently arranged, the system automatically searches line information in the dual-power-supply user table, the line information is checked with all power-off equipment in the power-off plan, and if conflicts exist, prompt is given, and alarm information and use constraint rules are displayed;
non-stop constraint submodule: establishing an equipment table for not stopping at the same time, and aiming at the line equipment of the same tower double-circuit line and the line equipment erected on the same pole not to be powered off at the same time;
a scheduling workload constraint submodule: and setting the upper limit of the scheduling workload of each day or each hour for the same scheduling mechanism.
10. A portable automatic balance checking terminal, the terminal comprising a processor and a memory, the memory storing data execution flow instructions, the data execution flow instructions being executed by the processor for implementing all the steps of the method for automatic balance checking of distribution network power failure maintenance plan as claimed in any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116805210A (en) * | 2023-08-21 | 2023-09-26 | 国网安徽省电力有限公司合肥供电公司 | Intelligent power grid risk identification management and control method based on big data |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005217571A (en) * | 2004-01-28 | 2005-08-11 | Nec Engineering Ltd | Contact terminal structure |
| CN104156790A (en) * | 2014-08-22 | 2014-11-19 | 国家电网公司 | Method for optimizing and balancing power-cut schemes |
| CN104992307A (en) * | 2015-08-10 | 2015-10-21 | 国网上海市电力公司 | Power distribution network risk collaborative management and control system |
| CN110020752A (en) * | 2019-04-03 | 2019-07-16 | 国网江苏省电力有限公司电力科学研究院 | Optimized data collection method, apparatus, equipment and the storage medium of many reference amounts monitoring device |
| US20200412758A1 (en) * | 2019-06-27 | 2020-12-31 | Forescout Technologies, Inc. | Comprehensive risk assessment |
| CN112561248A (en) * | 2020-11-27 | 2021-03-26 | 国电南瑞南京控制系统有限公司 | Intelligent analysis and control method and system for power failure plan of main and distribution network dispatching |
| CN113359878A (en) * | 2021-06-07 | 2021-09-07 | 郑州创源智能设备有限公司 | Flow control system and control method for bearing of Internet of things |
| CN113643154A (en) * | 2021-08-16 | 2021-11-12 | 国家电网有限公司西北分部 | Relay protection constant value intelligent auditing system |
| CN113850693A (en) * | 2021-09-28 | 2021-12-28 | 国网重庆市电力公司铜梁供电分公司 | Distribution network power failure risk comprehensive assessment and early warning method based on multi-source information fusion |
| CN114565297A (en) * | 2022-03-03 | 2022-05-31 | 国网山东省电力公司临沂供电公司 | Join in marriage automatic check balance tool of net power failure maintenance plan |
-
2022
- 2022-06-14 CN CN202310459982.XA patent/CN116484149A/en active Pending
- 2022-06-14 CN CN202210669093.1A patent/CN115033832B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005217571A (en) * | 2004-01-28 | 2005-08-11 | Nec Engineering Ltd | Contact terminal structure |
| CN104156790A (en) * | 2014-08-22 | 2014-11-19 | 国家电网公司 | Method for optimizing and balancing power-cut schemes |
| CN104992307A (en) * | 2015-08-10 | 2015-10-21 | 国网上海市电力公司 | Power distribution network risk collaborative management and control system |
| CN110020752A (en) * | 2019-04-03 | 2019-07-16 | 国网江苏省电力有限公司电力科学研究院 | Optimized data collection method, apparatus, equipment and the storage medium of many reference amounts monitoring device |
| US20200412758A1 (en) * | 2019-06-27 | 2020-12-31 | Forescout Technologies, Inc. | Comprehensive risk assessment |
| CN112561248A (en) * | 2020-11-27 | 2021-03-26 | 国电南瑞南京控制系统有限公司 | Intelligent analysis and control method and system for power failure plan of main and distribution network dispatching |
| CN113359878A (en) * | 2021-06-07 | 2021-09-07 | 郑州创源智能设备有限公司 | Flow control system and control method for bearing of Internet of things |
| CN113643154A (en) * | 2021-08-16 | 2021-11-12 | 国家电网有限公司西北分部 | Relay protection constant value intelligent auditing system |
| CN113850693A (en) * | 2021-09-28 | 2021-12-28 | 国网重庆市电力公司铜梁供电分公司 | Distribution network power failure risk comprehensive assessment and early warning method based on multi-source information fusion |
| CN114565297A (en) * | 2022-03-03 | 2022-05-31 | 国网山东省电力公司临沂供电公司 | Join in marriage automatic check balance tool of net power failure maintenance plan |
Non-Patent Citations (6)
| Title |
|---|
| SARA SHASHAANI等: "Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages", 《IEEE》 * |
| 冷华等: "省级配电自动化主站的停电信息资源池功能设计", 《电力系统自动化》 * |
| 刘爱华等: "工业园区主动配电网关键技术研究及应用", 《供用电》 * |
| 常海军等: "电网暂态相继失稳风险评估及协调阻断方法研究", 《电力系统保护与控制》 * |
| 王冬容: "电力需求侧响应理论与实证研究", 《中国博士学位论文全文数据库经济与管理科学辑》 * |
| 肖勇等: "城市配电网发展形态指标体系及其评估方法研究", 《电力系统保护与控制》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116805210A (en) * | 2023-08-21 | 2023-09-26 | 国网安徽省电力有限公司合肥供电公司 | Intelligent power grid risk identification management and control method based on big data |
| CN116805210B (en) * | 2023-08-21 | 2024-01-12 | 国网安徽省电力有限公司合肥供电公司 | Intelligent power grid risk identification management and control method based on big data |
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