CN115033832B - 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 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 the professional meeting balance, the related constraint conditions need manual statistics and verification, manual omission easily occurs, multiple professional balance meetings need to be held to determine the final plan, the time consumption is long, and the 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 interval of each equipment and equipment association attributes;
s2: acquiring an equipment topological graph of all equipment in the distribution network power failure maintenance plan range;
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 distribution network power failure maintenance plan range;
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 overhaul plan execution process in a visualization manner.
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.
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 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 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;
a 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;
an unable simultaneous stop constraint submodule: establishing an equipment table which can not be stopped simultaneously, and aiming at the line equipment of the same tower double-circuit line and the same pole erection, the power can not be cut off simultaneously;
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 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, there is provided an apparatus for automatically checking balance of distribution network blackout overhaul plans, 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 gathered, the power failure plan is issued and synchronously pushed to a distribution network OMS system, the online fast flow is changed into plan specific implementation and sufficient time is reserved for carrying 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 method of FIGS. 1-3;
fig. 5 is a diagram of a system architecture for automatic balancing verification of distribution network blackout service plans, which implements the method described in fig. 1-3;
FIG. 6 is a schematic diagram of a visualization architecture layout according to an embodiment 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 to S6, and each step is specifically 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 distribution network power failure maintenance plan range;
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 a connection diagram and a current operating state of a system such as an EMS automatically docked on the basis of the primary connection diagram, and displays a charged coloring state of the device, and takes a device in the same charged coloring state as a related device.
In step S2, analyzing a power supply path of the equipment based on the topological relation and the running state of the equipment, and performing overall analysis on the equipment in the power failure plan list;
in step S3, defective device auto-association is implemented. Acquiring log flow information of all equipment in the distribution network power failure maintenance plan range; and determining defective equipment information based on the log flow information.
Further, step S3 compares the information of the butt-joint defect flow (or log) with the current existing equipment in the power failure plan, finds that the equipment which is not listed in the power failure plan, and automatically recommends to add the power failure 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 the historical power failure records of the power failure users in 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 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.
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 adjustment detail data and use constraint rules.
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 in two months in the power failure scheme, the condition of high power failure frequency is automatically reminded, and 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 stopping at the same time
When the maintenance plan is intelligently arranged, the system automatically searches the line information in the equipment list which can not be stopped simultaneously, checks the line information with the power failure equipment in all power failure plans, and gives and prompts if conflicts exist, and displays alarm information and use constraint rules.
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, constraint conditions such as festival holiday time, available time periods, important equipment uninterruptible time periods, repeated power failure equipment, dual-power-supply users, unavailable equipment, combinable power failure equipment, inspection center workload, scheduling operation command workload and the like are required, the system can intelligently check the compliance of the maintenance plan according to constraint rules, and intelligently arrange the distribution network monthly maintenance plan.
On the basis of fig. 1, see fig. 2.
After the step S6, the method in 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 the following steps:
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 the day-ahead plan of the distribution network 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 conditions 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, weighted risk assessment is performed by using equipment repeated power outage, scheduling bearing capacity out-of-limit, power conservation task conflict, exceeding of the number of users in single power outage, and repeated power outage of users as indexes, so as to obtain a risk check result.
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.
A more detailed flow chart can be seen in the embodiment 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 according to the difference of the risk influence degree, dividing the power failure risk into early warning grades.
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 out-of-limit scheduling bearing capacity are separately signed by related departments, and the scheduling department determines approval according to the risk grade 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 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 The initial value is the reference number of the users in single power failure, and the number of the users 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
The power supply path of the equipment is analyzed based on the topological relation and the running state of the equipment, the equipment in the power failure plan list is integrally analyzed, whether the power supply relation exists between the equipment to be powered off is identified, the maintenance work with the power supply relation is combined, and repeated power failure is avoided.
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 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 information of influences (power failure range and power flow distribution) caused by different transfer strategies and returns the information: 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 publishing
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 includes a device topology map generation module, a repeated blackout device inspection module, a defective device 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 defective equipment association module acquires log flow information of all equipment within the power failure maintenance plan range of the distribution network, determines the information of the defective equipment based on the log flow information, compares the information with the power failure equipment in the current power failure maintenance plan of the distribution network, and automatically recommends to join the power failure maintenance plan if the equipment which is not listed in the power failure maintenance plan is found;
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.
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, a 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;
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 in fig. 5 further includes a blackout maintenance schedule import module and a visualization report 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 modes are intelligently arranged, a one-key distribution network power supply switching scheme is provided for intelligent generation and execution, 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. The plan is reported and is reported fast circulation on the balance line, reserves sufficient time for plan concrete implementation and carries out work prophase preparation, effectively promotes 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 onto a computer readable storage medium and executed by a processor, thereby implementing all the steps of the method for automatically checking the balance of the distribution network blackout maintenance plan.
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 may solve a plurality of technical problems or achieve corresponding technical effects, but it is not required that each embodiment of the present invention solves all technical problems or achieves all 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 period of each equipment and equipment association attributes;
s2: acquiring an equipment topological graph of all equipment in the distribution network power failure maintenance plan range;
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: adjusting the distribution network power failure maintenance plan based on the risk checking result;
when a power failure plan is submitted, the planned all-element risk check can be automatically completed, and the existing risks are displayed in real time; 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 The initial value is the reference number of the users in a single power failure, when the number of the users exceeds the standard in a single power failure, M is obtained 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-saving task conflict value, the initial value is 1, when a conflict is detected, the value is increased by 0.5, 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.
2. 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 S5 further 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.
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 power failure maintenance plan range of the distribution network;
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 overhaul plan as claimed in claim 1, characterized in that:
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 overhaul plan as claimed in claim 1, characterized in that:
after the step S6, the method further comprises:
s7: the distribution network OMS system is in butt joint, 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.
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:
and in the step S5, the automatic checking balance carries out weighted risk assessment by taking equipment repeated power failure, scheduling bearing capacity out-of-limit, power conservation task conflict, exceeding standard of the number of users in single power failure and user repeated power failure as indexes to obtain a risk checking result.
7. The method for automatically checking the balance of the distribution network power failure overhaul 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 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 adjusting 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 the constraint condition check process to the power grid, and assisting operating personnel to adjust the power failure plan in a targeted manner;
when a power failure plan is submitted, the whole element risk check of the plan can be automatically completed, and the existing risk is displayed in real time;
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 time of self-increment generates a d i ；
M i The initial value is the reference number of the users in single power failure, and the number of the users 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-saving task conflict value, the initial value is 1, when a conflict is detected, the value is increased by 0.5, and each increase generates a C i ；
f s Dimension embodying the quality of service of the customer, f m The dimensionality of safety and reliability of the power grid is embodied.
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 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;
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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