CN112288290B - Power outage plan arrangement method and device, computer equipment and storage medium - Google Patents
Power outage plan arrangement method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN112288290B CN112288290B CN202011197799.XA CN202011197799A CN112288290B CN 112288290 B CN112288290 B CN 112288290B CN 202011197799 A CN202011197799 A CN 202011197799A CN 112288290 B CN112288290 B CN 112288290B
- Authority
- CN
- China
- Prior art keywords
- power outage
- risk
- outage plan
- plan
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000012954 risk control Methods 0.000 claims abstract description 29
- 238000012216 screening Methods 0.000 claims abstract description 10
- 238000010276 construction Methods 0.000 claims description 19
- 238000012502 risk assessment Methods 0.000 claims description 17
- 238000011084 recovery Methods 0.000 claims description 11
- 238000004422 calculation algorithm Methods 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 13
- 238000012545 processing Methods 0.000 description 5
- 238000012549 training Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000007637 random forest analysis Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a power outage plan arranging method, a power outage plan arranging device, computer equipment and a storage medium. The method comprises the following steps: acquiring at least one power outage plan, screening out power outage plans meeting constraint conditions, and classifying each power outage plan meeting the constraint conditions; for each power outage plan of each type, sequentially acquiring a power grid operation risk result after each power outage plan is added; if the running risk result of the power grid meets the termination condition, arranging each power outage plan before the added power outage plan, and making corresponding risk description and risk control measures according to the risk condition of each power outage plan. By using the technical scheme of the invention, the power outage plan of the power grid can be efficiently arranged, the labor cost is saved, and the safety, reliability and stability of the power grid are improved.
Description
Technical Field
The embodiment of the invention relates to a data processing technology, in particular to a power outage plan arranging method, a power outage plan arranging device, computer equipment and a storage medium.
Background
With the development of technology and the advancement of society, the requirements of people on electric power and electric energy quality are increasing. Once the power grid is in an accident, the large-area power failure is caused, so that the inconvenience is caused to the daily life of people, and the stability of society and the development of economy are also affected.
In order to perform daily maintenance on a power grid, power outage plans of the power grid are formulated for all levels of power grid systems, and in the prior art, the power outage plans of the power grid are planned, and the power outage plans are manually planned after all power outage plans are collected by staff. The arrangement mode of the power outage plan in the prior art has the advantages of higher labor cost, lower efficiency and accuracy and increased fault risk of the power grid.
Disclosure of Invention
The embodiment of the invention provides a power outage plan arranging method, a device, computer equipment and a storage medium, which are used for realizing efficient power outage plan arrangement of a power grid, saving labor cost and increasing safety, reliability and stability of the power grid.
In a first aspect, an embodiment of the present invention provides a method for scheduling a power outage plan, where the method includes:
acquiring at least one power outage plan, screening out power outage plans meeting constraint conditions, and classifying each power outage plan meeting the constraint conditions;
For each power outage plan of each type, sequentially acquiring a power grid operation risk result after each power outage plan is added;
if the running risk result of the power grid meets the termination condition, arranging each power outage plan before the added power outage plan, and making corresponding risk description and risk control measures according to the risk condition of each power outage plan.
In a second aspect, an embodiment of the present invention further provides an apparatus for scheduling a power outage, where the apparatus includes:
the power outage plan classification module is used for acquiring at least one power outage plan, screening out power outage plans meeting constraint conditions, and classifying each power outage plan meeting the constraint conditions;
the power grid operation risk result acquisition module is used for sequentially acquiring power grid operation risk results after each power outage plan is added for each power outage plan of each type;
and the power outage plan arrangement module is used for arranging each power outage plan before the added power outage plan if the power grid operation risk result meets the termination condition, and making corresponding risk description and risk control measures according to the risk condition of each power outage plan.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the method for scheduling a power outage plan according to any one of the embodiments of the present invention when the processor executes the program.
In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method of scheduling a power outage plan according to any one of the embodiments of the present invention.
According to the embodiment of the invention, the power outage plans meeting the constraint conditions are classified, the power outage plans in each class are sequentially calculated, the power grid operation risk result when the power grid operation risk result meets the termination conditions is newly increased, the power outage plan before the newly increased power outage plan is used as the power outage plan to be scheduled, and the power outage plans to be scheduled are scheduled and risk control measures are formulated. The power outage planning method and device for the power outage planning are used for solving the problems that in the prior art, the labor cost is high, the efficiency and the accuracy are low, and the fault risk of a power grid is high, realizing the power outage planning of the power grid in a high-efficiency mode, saving the labor cost and improving the safety, the reliability and the stability of the power grid.
Drawings
FIG. 1 is a flow chart of a method for scheduling power outage plans in accordance with a first embodiment of the present invention;
FIG. 2a is a flow chart of a method for scheduling power outage plans in a second embodiment of the present invention;
FIG. 2b is a schematic diagram of a regional power grid architecture suitable for use in embodiments of the present invention;
FIG. 2c is a schematic diagram of a photovoltaic cell power supply area suitable for use in embodiments of the present invention;
FIG. 2d is a schematic diagram of a grid operation risk result for region A in accordance with an embodiment of the present invention;
fig. 2e is a schematic diagram of a risk result of grid operation for a photovoltaic cell power supply area in accordance with an embodiment of the present invention;
FIG. 2f is a schematic diagram of a risk control measure suitable for use in embodiments of the present invention;
FIG. 3 is a schematic structural view of a power outage planning apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device in a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a power outage plan arrangement method according to an embodiment of the present invention, where the method may be applied to a case of collecting and arranging a power outage plan of a power grid, and the method may be performed by a power outage plan arrangement device, which may be implemented by software and/or hardware and is generally integrated in a computer device, typically, may be integrated in a mobile terminal such as a mobile phone, a tablet, or integrated in a computer terminal such as a computer.
As shown in fig. 1, the technical solution of the embodiment of the present invention specifically includes the following steps:
s110, acquiring at least one power outage plan, screening out power outage plans meeting constraint conditions, and classifying each power outage plan meeting the constraint conditions.
The power outage plan is a plan for performing power outage processing on certain electrical equipment in a power grid in a future time period collected by the power grid system, so that the power grid is overhauled and maintained, and the power outage plan can be divided into a annual plan, a quarterly plan, a monthly plan, a daily plan and the like.
In the embodiment of the invention, when the number of the power outage plans collected by the power grid system is large, if all the power outage plans are executed, inconvenience is caused to power grid users, and the running risk of the power grid is increased. Therefore, in the embodiment of the invention, to realize automatic arrangement of each power outage plan, each power outage plan is firstly required to be classified according to the urgent degree, and under the condition that arrangement and execution of all power outage plans cannot be realized, the more urgent power outage plans are preferably arranged and executed, and the power outage plans with the lighter urgent degree can be temporarily put aside or abandoned, so that the running risk of a power grid can be reduced, and the power consumption experience of a power grid user is improved.
Optionally, meeting the constraint condition may include: determining that the target outage plan does not satisfy the constraint if the target outage plan is at least one of: at least one power outage plan exists in each power outage plan, the corresponding electrical equipment is the same as the electrical equipment corresponding to the target power outage plan or the corresponding electrical equipment is the same as the tower equipment, the construction period corresponding to the target power outage plan exceeds a preset construction period duration limit, the construction period corresponding to the target power outage plan is within a holiday day, and the target power outage plan is a single power outage plan; after obtaining the at least one power outage plan, the method may further include: and prompting the user if the target power outage plan is determined to not meet the constraint condition.
In the embodiment of the invention, constraint conditions can be set, and preliminary screening can be performed on the power outage plan. If there are a plurality of power outage plans among the collected power outage plans, and the corresponding electric devices are the same, the plurality of power outage plans are repeated power outage plans, and operations such as screening or merging the plurality of power outage plans are required.
If there are a plurality of power outage plans among the collected power outage plans, and the corresponding electric equipment is the same tower equipment, the plurality of power outage plans cannot be executed at the same time, so that it is necessary to stagger execution times of the plurality of power outage plans, or to lay or discard any one or several of the power outage plans.
If the construction period corresponding to the target outage plan exceeds the preset construction period time limit value, or if the construction period corresponding to the target outage plan is in holidays, the running risk of the power grid is increased, and therefore the construction period of the target outage plan needs to be adjusted accordingly.
If the target power outage plan is a single-power-supply power outage plan, namely, the electric equipment corresponding to the target power outage plan is powered by only one power supply, the electric equipment corresponding to the target power outage plan is powered off by executing the target power outage plan, so that the running risk of a power grid is increased, and the electricity utilization experience of a user is affected.
In the embodiment of the invention, for each power outage plan which does not meet the constraint condition, the power outage plan is displayed to the user so that the user can adjust or discard each power outage plan. And the power outage plans processed by the user can be added into the power grid system again, and the judgment of the constraint conditions is repeated until all the power outage plans meet the constraint conditions, so that the power outage plans are classified. However, the present embodiment does not limit the number and the specific content of the constraint.
S120, for each power outage plan of each type, sequentially obtaining the running risk result of the power grid after each power outage plan is added.
The result of the grid operational risk is a risk that the grid may present during operation after the blackout plan is executed. For example, when the outage schedule is to outage the a-line, the grid operational risk result may be that the B-line and the C-electrical devices may fail after the a-line is outage.
Optionally, the grid operation risk result may include at least one of: risk value, risk level, fault equipment, probability of failure, number of lost users, voltage threshold, overload value, load value, etc.
The risk value is a numerical value calculated after comprehensive risk assessment is carried out on the power grid, the risk level represents the urgent degree of the running risk of the power grid, and the risk value corresponds to the risk level. By way of example, the risk level may be "ultra high risk", "high risk" or "medium low risk", the higher the risk value, the higher the risk level. A faulty device is a line that may fail when a certain power outage schedule is executed. The failure probability is the probability that the failed device fails. The lost user count is the number of users that trip or power down after a faulty device fails. The voltage threshold is a value that the voltage exceeds the safety voltage after the fault device fails. After the overload value fault device fails, the actual current exceeds the fault value of the running current. The load value is the power of the electrical device after the fault device has failed.
In the embodiment of the invention, the power grid operation risk results when two power outage plans are executed simultaneously are generally different from the power grid operation risk results when only one power outage plan is executed respectively, so that each new power outage plan needs to be calculated, and the corresponding power grid operation risk results when the new power outage plan and the previous power outage plan are executed simultaneously. The accuracy of the running risk judgment of the power grid can be improved through the arrangement, and therefore the running safety of the power grid is improved.
And S130, if the running risk result of the power grid meets the termination condition, arranging each power outage plan before the added power outage plan, and making corresponding risk description and risk control measures according to the risk condition of each power outage plan.
The termination condition may be that the grid operation risk result has exceeded the maximum risk that the grid operation can withstand. In order to ensure the safety of the operation of the power grid, when the operation risk result of the power grid meets the termination condition, the newly added power outage plan and the subsequent power outage plans cannot be continuously arranged. The risk situations are electrical equipment that may be involved in performing a power outage schedule, and conditions that may occur with electrical equipment. The risk description is a text description of the risk situation when the power outage plan is executed. The risk control measures are corresponding measures formulated for reducing the running risk of the power grid according to the running risk result of the power grid corresponding to the power outage plan when the power outage plan is executed.
After classifying the power outage plans according to the emergency degree, sequentially calculating the running risk result of the power grid after each newly added power outage plan for each power outage plan with the most emergency type, and judging the termination condition. If the most urgent power outage plans of the type do not meet the termination condition on the power grid operation risk result, then sequentially calculating the power grid operation risk result after each newly increased power outage plan for each power outage plan with lighter urgent degree, judging the termination condition, and the like, until the power grid operation risk result meets the termination condition, each plan before the newly increased power outage plans is the power outage plans which need to be arranged. The newly added power outage schedule and the later power outage schedules can be temporarily put aside or abandoned.
According to the technical scheme of the embodiment, the power outage plans meeting the constraint conditions are classified, the power outage plans in each category are sequentially calculated, the power grid operation risk results when the plans are newly increased are calculated according to the category sequence, when the power grid operation risk results meet the termination conditions, the power outage plan before the newly increased power outage plan is used as the power outage plan to be scheduled, and the scheduling and the risk control measures making are carried out on the power outage plans to be scheduled. The power outage planning method and device for the power outage planning are used for solving the problems that in the prior art, the labor cost is high, the efficiency and the accuracy are low, and the fault risk of a power grid is high, realizing the power outage planning of the power grid in a high-efficiency mode, saving the labor cost and improving the safety, the reliability and the stability of the power grid.
Optionally, classifying each outage plan that satisfies the constraint condition may include: respectively acquiring electric equipment corresponding to each power outage plan meeting constraint conditions, and classifying each electric equipment; the power outage plans are classified according to the category of the electrical equipment to which the power outage plans correspond.
The electrical devices are various types of devices in the power grid, and by way of example, the electrical devices may be transmission lines, low voltage circuit breakers, low voltage disconnectors, controllers or relays, and the like. The outage plans may be categorized according to the type of electrical equipment to which the outage plans relate.
By way of example, first, each electrical device involved in the power outage plan is acquired, and each electrical device can be classified into three classes of critical, critical or common according to factors such as a real-time operation state or a failure rate of each electrical device. The emergency degree of the power outage plan is classified according to the grades of the corresponding electric devices, if all the corresponding electric devices are electric devices with critical grades, the emergency degree of the power outage plan is highest, and if all the corresponding electric devices are electric devices with common grades, the emergency degree of the power outage plan is lowest.
In the embodiment of the invention, the reason why the power outage plans are classified according to the types of the electrical devices is that the types of the electrical devices are different, and the emergency degree of the power outage plans is also different. The failure rate of the electrical equipment in the critical grade is higher, so that the power failure plan of the electrical equipment in the critical grade needs to be implemented as soon as possible, the electrical equipment in the critical grade is overhauled as soon as possible, the occurrence probability of device fault tripping is reduced, and the power failure plan of the electrical equipment in the critical grade is higher in emergency degree and needs to be arranged to be executed preferentially.
There is also a risk of fault tripping for critical electrical equipment, and for a power outage plan involving critical electrical equipment, it is necessary to ensure that the grid operation risk is below a safe risk limit when it is performed, so that the power outage plan involving critical electrical equipment is less urgent than the power outage plan involving critical electrical equipment, and the power outage plan involving critical electrical equipment may be scheduled after all of the power outage plans involving critical electrical equipment have been scheduled for execution.
For the electrical equipment of the common grade, the failure rate is smaller, so that the emergency degree of the power outage plan related to the electrical equipment of the common grade is lower, and the situation that the running risk of the power grid is increased due to the fact that the electrical equipment of the power outage is excessive, so that the state of the power grid is unstable needs to be considered. Therefore, after the power outage plans related to the critical grade electrical equipment and the critical grade electrical equipment are all scheduled to be executed, the power outage plans related to the normal grade electrical equipment are considered to be scheduled, and the number of the power outage plans related to the normal grade electrical equipment needs to be properly controlled on the premise of ensuring that the operation risk of the power grid is in a normal state.
Optionally, for each power outage plan of each type, sequentially obtaining the power grid operation risk result after adding one power outage plan, may include: sequentially adding a power failure plan according to the sequence of the types of the power failure plans; and inputting the newly-increased power outage plan, the power outage plan before the newly-increased power outage plan and the real-time power grid operation data into a pre-trained risk assessment model to obtain a power grid operation risk result output by the risk assessment model.
The power grid operation real-time data may include a power grid equipment load condition, health of each equipment, and power grid operation history data within a certain period of time, and the specific type of the power grid operation real-time data is not limited in this embodiment.
The risk assessment model is a model for assessing the operation risk of the power grid, which is obtained by training a machine learning model by selecting historical operation data of the power grid as a training set. Preferably, a random forest algorithm can be used for training to obtain a risk assessment model. The random forest is a supervised learning algorithm, and is an integrated learning algorithm using a decision tree as a learner, but the algorithm for training the risk assessment model is not limited in this embodiment.
In the embodiment of the invention, after a power outage plan is newly added, according to each power outage plan and power grid operation real-time data after the power outage plan is newly added, a risk assessment model can acquire a corresponding power grid operation risk result.
Example two
Fig. 2a is a flowchart of a method for scheduling a power outage plan according to a second embodiment of the present invention, where the process of classifying the power outage plan, obtaining the running risk result of the power grid, determining whether the running risk result of the power grid meets the termination condition, and performing scheduling of the power outage plan and making of the risk control measures are further embodied on the basis of the above embodiments.
Correspondingly, as shown in fig. 2a, the technical solution of the embodiment of the present invention specifically includes the following steps:
s210, at least one power outage plan is obtained.
Specifically, when the month power outage plans are organized, each submitted month power outage plan is collected.
S220, judging whether at least one of the following situations exists in the target power outage plan, if so, executing S230, otherwise, executing S240.
At least one power outage plan exists in each power outage plan, the corresponding electrical equipment is the same as the electrical equipment corresponding to the target power outage plan or the corresponding electrical equipment is the same as the tower equipment, the construction period corresponding to the target power outage plan exceeds a preset construction period duration limit, the construction period corresponding to the target power outage plan is within a holiday day, and the target power outage plan is a single power outage plan;
S230, determining that the target power outage plan does not meet constraint conditions, and prompting a user.
S240, judging whether the processing of all power outage plans is completed, if yes, executing S250, otherwise, returning to executing S220.
S250, respectively acquiring the electric equipment corresponding to each power outage plan meeting the constraint condition, and classifying the electric equipment.
For example, the electrical devices may be classified into three types of critical, critical or general according to the failure rate and the real-time operation state of the electrical devices, but the present embodiment does not limit the number of types, specific types and the classification basis of the types of the electrical devices.
And S260, classifying the power outage plans according to the types of the electrical equipment corresponding to the power outage plans.
In the embodiment of the invention, the basis for classifying the outage schedule is not limited to the category of the electrical equipment. The type of the power outage plan is divided, and the actual requirements of the operation and maintenance of the power grid, the influence of natural disasters or extreme weather or the requirements of other projects can be considered.
S270, sequentially adding a power outage plan according to the type sequence of the power outage plans.
In the embodiment of the invention, the types of more urgent power outage plans are prioritized, and after a new power outage plan is calculated every time one power outage plan is added, the power grid operation risk results corresponding to the power outage plans are executed. When a higher urgency power outage plan determination can be performed, a lower urgency power outage plan is considered.
S280, inputting the newly-added power outage plan, the power outage plan before the newly-added power outage plan and the real-time power grid operation data into a pre-trained risk assessment model to obtain a power grid operation risk result output by the risk assessment model.
And according to each power outage plan after the newly-added power outage plan and the real-time data of the power grid operation, the risk assessment model can acquire a corresponding power grid operation risk result.
S290, judging whether the risk value is larger than or equal to a preset risk limit value, if so, executing S2110, otherwise, executing S2100.
In the embodiment of the invention, the risk value in the power grid operation risk result can intuitively display the operation risk of the power grid, so that the risk limit value can be preset, and when the risk value exceeds the risk limit, the increase of the newly-added power outage plan can cause the operation risk of the power grid to be too high, so that the newly-added power outage plan and the later power outage plans are not arranged any more.
S2100, judging whether the number of the newly added power outage plans and the previous power outage plans is larger than or equal to a preset risk number limit value, if so, executing S2110, otherwise, returning to executing S270.
Meeting the risk indicator, comprising:
and if the category of the electrical equipment corresponding to the power outage plan is determined to be critical, and/or the risk level in the power grid operation risk result corresponding to the power outage plan is greater than or equal to a preset risk level threshold, determining that the power outage plan meets the risk index.
In the embodiment of the invention, the power outage plan is subjected to double management of risk values and risk amounts. When the type of the electrical equipment corresponding to the power outage plan is the critical type, the power outage plan is the critical type power outage plan, or when the risk level in the power grid operation risk result corresponding to the power outage plan is high, the power outage plan is the critical type power outage plan. If the number of critical power outage plans is excessive, the running risk of the power grid is easily increased.
By way of example, 50 indexes are allocated to the critical power outage plans in a certain area each year, when the power outage plans are determined to be the critical power outage plans according to the electrical equipment or the risk level corresponding to the power outage plans, the number of the critical power outage plans is counted, the number of the critical power outage plans is required to be ensured to be less than or equal to 50 all the year round, and 50 is a preset risk number limit value. Meanwhile, the number of the critical power outage plans in the preset time period can be controlled, and when 50 indexes are distributed to the critical power outage plans annually, the number of the critical power outage plans per month can be controlled to be not more than 10.
S2110, determining that the power grid operation risk result meets a termination condition.
S2120, obtaining operation risk results of the power grids corresponding to the power outage plans before the newly added power outage plans.
When the termination condition is met, each power outage plan before the newly added power outage plan is the power outage plan to be scheduled, and corresponding risk control measures can be formulated according to the running risk results of each power grid corresponding to each power outage plan.
S2130, acquiring risk conditions of each fault device corresponding to each power grid operation risk result, and performing risk description on each fault device.
According to the risk situation of the fault equipment which possibly occurs after the power failure plan is executed, the risk description can be carried out on each fault equipment, and corresponding risk control measures are formulated.
S2140, acquiring risk control measures corresponding to each fault device through a network reconstruction method.
Network reconfiguration refers to a method for alleviating the running risk of a power grid by using a power supply recovery method when the power grid fails and the load is reduced. The aim of network reconfiguration is to quickly recover more power-loss electrical devices and to preferentially recover more important electrical devices.
Accordingly, S2140 may further include:
s2141, determining a target fault area corresponding to the target fault equipment.
In the embodiment of the invention, after the target fault area corresponding to the target fault equipment is determined, the power grid reduced load, namely the maximum reduction of the actual load of the power grid, can be calculated. Therefore, the power supply path recovery algorithm can be used for ensuring that the power supply of important electrical equipment is recovered preferentially while ensuring that more power grid power reduction loads are recovered.
S2142, judge whether there is spare equipment in the trouble area of goal, if yes, carry out S2143, otherwise carry out S2144.
The standby equipment is standby electrical equipment which can be started after the electrical equipment is powered off. Illustratively, when the electrical device is a line, the backup device includes both a feeder within the power grid system and a remote power supply line in other power supply systems. If a feeder line in the power grid exists in the target fault area, the feeder line is started to restore power supply, or a remote power supply line which can support power supply of the target fault area exists in other power supply systems, and the remote power supply line can also be started to restore power supply.
S2143, starting the standby equipment. S2144 is executed.
S2144, determining the recovery sequence of each electrical device in the target fault area by adopting a power supply path recovery algorithm.
The principle of the power supply path recovery algorithm is as follows:
wherein f 1 (x) Representing recovered load, f 2 (x) Indicating the number of electrical devices recovering the load. W (W) i Is a key horizontal share coefficient of the load; n (N) OP Is the switching control frequency; p (P) ij And Q ij Active and reactive power from electrical device i to electrical device j; p (P) Gi And Q Gi The active and reactive output power of the generator; p (P) Li And Q Li Is the active and reactive power of each electrical device; p (P) Gi max And P Gi min The maximum value and the minimum value of the active output power of the generator; q (Q) Gi max And Q Gi min The maximum value and the minimum value of the reactive output power of the generator; p (P) ij max And P ij min The maximum value and the minimum value of the active conveying capacity of the conveying line; v (V) i min And V i max Is the maximum value and the minimum value of the voltage amplitude of each electrical device; v (V) i Is the voltage of the electrical device.
In the embodiment of the invention, by using the power supply path recovery algorithm, the power supply of important electrical equipment can be recovered preferentially while ensuring that more power grids are recovered to reduce the power supply load, so that the ordered recovery of the power grids is realized.
S2145, judge whether to finish the processing to all trouble apparatuses, if yes, carry out S2150, otherwise return to carry out S2141.
S2150, end.
According to the technical scheme, the power outage plans are classified through the electrical equipment corresponding to each power outage plan meeting constraint conditions, the power outage plans in each category are sequentially classified according to the category sequence, a power grid operation risk result when the power grid operation risk result is newly increased is obtained through a risk assessment model, when the power grid operation risk result meets termination conditions, the power outage plan before the newly increased power outage plan is used as the power outage plan to be arranged, the power outage plans to be arranged are arranged, and risk control measures are formulated through a network reconstruction method. The power outage planning method and device for the power outage planning are used for solving the problems that in the prior art, the labor cost is high, the efficiency and the accuracy are low, and the fault risk of a power grid is high, realizing the power outage planning of the power grid in a high-efficiency mode, saving the labor cost and improving the safety, the reliability and the stability of the power grid.
In a specific example of the present invention, fig. 2b provides a schematic diagram of a regional power grid structure, fig. 2c provides a schematic diagram of a photovoltaic cell power supply area, and a power grid operation risk assessment is performed on a regional power grid and the photovoltaic cell power supply area respectively, so that a power grid operation risk result schematic diagram of the regional power grid shown in fig. 2d and a power grid operation risk result schematic diagram of the photovoltaic cell power supply area shown in fig. 2e can be obtained. The fault line and its corresponding fault rate, voltage threshold, device overload and cut load values, respectively, are given in fig. 2 d. Fig. 2e shows the faulty line and its corresponding fault rate, voltage threshold value, branch overload value, cut load value and risk profile, respectively. And (3) formulating corresponding risk description and risk control measures according to the running risk result of the power grid to obtain a schematic diagram of the risk control measures shown in fig. 2 f. As shown in fig. 2f, according to the faulty device, the power supply may be restored by enabling the spare device, so that the risk control measures corresponding to the faulty device may be determined.
As can be seen from the above examples, the present embodiment can make explicit risk descriptions and risk control measures for the execution of the outage plan, so as to perform explicit risk indication and decision guidance for the overhaul of the grid system.
Example III
Fig. 3 is a schematic structural diagram of a power outage planning apparatus according to a third embodiment of the present invention, where the apparatus may be implemented by software and/or hardware, and is generally integrated in a computer device, typically, may be integrated in a mobile terminal such as a mobile phone, a tablet, or a computer terminal such as a computer. The device comprises: a blackout plan classification module 310, a grid running risk result acquisition module 320, and a blackout plan orchestration module 330. Wherein:
the power outage plan classification module 310 is configured to obtain at least one power outage plan, screen out power outage plans meeting the constraint condition, and classify each power outage plan meeting the constraint condition;
the power grid operation risk result obtaining module 320 is configured to sequentially obtain, for each power outage plan of each type, a power grid operation risk result after each power outage plan is added;
and the outage plan arrangement module 330 is configured to, if it is determined that the power grid operation risk result meets the termination condition, arrange each outage plan before the added outage plan, and formulate a corresponding risk description and risk control measure according to the risk situation of each outage plan.
According to the technical scheme of the embodiment, the power outage plans meeting the constraint conditions are classified, the power outage plans in each category are sequentially calculated, the power grid operation risk results when the plans are newly increased are calculated according to the category sequence, when the power grid operation risk results meet the termination conditions, the power outage plan before the newly increased power outage plan is used as the power outage plan to be scheduled, and the scheduling and the risk control measures making are carried out on the power outage plans to be scheduled. The power outage planning method and device for the power outage planning are used for solving the problems that in the prior art, the labor cost is high, the efficiency and the accuracy are low, and the fault risk of a power grid is high, realizing the power outage planning of the power grid in a high-efficiency mode, saving the labor cost and improving the safety, the reliability and the stability of the power grid.
Based on the above embodiments, the outage plan classification module 310 includes:
a constraint condition judgment unit, configured to determine that the target outage plan does not satisfy the constraint condition if at least one of the following conditions exists in the target outage plan:
at least one power outage plan exists in each power outage plan, the corresponding electrical equipment is the same as the electrical equipment corresponding to the target power outage plan or the corresponding electrical equipment is the same as the tower equipment, the construction period corresponding to the target power outage plan exceeds a preset construction period duration limit, the construction period corresponding to the target power outage plan is within a holiday day, and the target power outage plan is a single power outage plan;
the device further comprises:
and the target power outage plan prompting unit is used for prompting a user if the target power outage plan is determined to not meet the constraint condition.
Based on the above embodiments, the outage plan classification module 310 includes:
the electrical equipment classification unit is used for respectively acquiring electrical equipment corresponding to each power outage plan meeting constraint conditions and classifying each electrical equipment;
and the power outage plan classification unit is used for classifying the power outage plans according to the types of the electrical equipment corresponding to the power outage plans.
On the basis of the foregoing embodiment, the power grid operation risk result obtaining module 320 includes:
a power outage plan adding unit for sequentially adding a power outage plan according to the sequence of the types of the power outage plans;
the power grid operation risk result acquisition unit is used for inputting the newly-added power outage plan, the power outage plan before the newly-added power outage plan and the power grid operation real-time data into a pre-trained risk assessment model to obtain a power grid operation risk result output by the risk assessment model.
Based on the above embodiments, the outage planning module 330 includes:
and the termination condition judging unit is used for judging whether the risk value is larger than or equal to a preset risk limit value or judging whether the number of the power outage plans meeting the risk index in the newly added power outage plans and the power outage plans before the newly added power outage plans is larger than or equal to the preset risk number limit value, and if so, determining that the power grid operation risk result meets the termination condition.
The termination condition judging unit is further used for:
and if the category of the electrical equipment corresponding to the power outage plan is determined to be critical, and/or the risk level in the power grid operation risk result corresponding to the power outage plan is greater than or equal to a preset risk level threshold, determining that the power outage plan meets the risk index.
Based on the above embodiments, the outage planning module 330 is configured to:
the power grid operation risk result acquisition unit is used for acquiring power grid operation risk results corresponding to power outage plans before the newly-added power outage plans;
the risk control measure acquisition unit is used for acquiring the risk condition of each fault device corresponding to each power grid operation risk result, carrying out risk description on each fault device, and acquiring the risk control measure corresponding to each fault device through a network reconstruction method.
On the basis of the above embodiment, the risk control measure acquiring unit is specifically configured to:
determining a target fault area corresponding to target fault equipment;
and if the standby equipment exists in the target fault area, starting the standby equipment, and determining the recovery sequence of each electrical equipment in the target fault area by adopting a power supply path recovery algorithm.
The power outage schedule arranging device provided by the embodiment of the invention can execute the power outage schedule arranging method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example IV
Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention, and as shown in fig. 4, the computer device includes a processor 70, a memory 71, an input device 72 and an output device 73; the number of processors 70 in the computer device may be one or more, one processor 70 being taken as an example in fig. 4; the processor 70, memory 71, input means 72 and output means 73 in the computer device may be connected by a bus or other means, in fig. 4 by way of example.
The memory 71 is used as a computer readable storage medium for storing software programs, computer executable programs, and modules, such as modules corresponding to the method for scheduling a power outage plan in the embodiment of the present invention (for example, the power outage plan classification module 310, the power grid running risk result obtaining module 320, and the power outage plan scheduling module 330 in the power outage plan scheduling device). The processor 70 executes various functional applications and data processing of the computer device by executing software programs, instructions and modules stored in the memory 71, i.e., implements the above-described power outage planning method. The method comprises the following steps:
acquiring at least one power outage plan, screening out power outage plans meeting constraint conditions, and classifying each power outage plan meeting the constraint conditions;
for each power outage plan of each type, sequentially acquiring a power grid operation risk result after each power outage plan is added;
if the running risk result of the power grid meets the termination condition, arranging each power outage plan before the added power outage plan, and making corresponding risk description and risk control measures according to the risk condition of each power outage plan.
The memory 71 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for functions; the storage data area may store data created according to the use of the terminal, etc. In addition, memory 71 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, memory 71 may further include memory remotely located relative to processor 70, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 72 may be used to receive entered numeric or character information and to generate key signal inputs related to user settings and function control of the computer device. The output means 73 may comprise a display device such as a display screen.
Example five
A fifth embodiment of the present invention also provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are for performing a method of scheduling a power outage plan, the method comprising:
acquiring at least one power outage plan, screening out power outage plans meeting constraint conditions, and classifying each power outage plan meeting the constraint conditions;
for each power outage plan of each type, sequentially acquiring a power grid operation risk result after each power outage plan is added;
if the running risk result of the power grid meets the termination condition, arranging each power outage plan before the added power outage plan, and making corresponding risk description and risk control measures according to the risk condition of each power outage plan.
Of course, the storage medium containing the computer executable instructions provided in the embodiments of the present invention is not limited to the above-described method operations, and may also perform the related operations in the power outage planning method provided in any embodiment of the present invention.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, etc., and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.
It should be noted that, in the embodiment of the power outage planning arrangement apparatus, each unit and module included are only divided according to the functional logic, but not limited to the above-mentioned division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A method of scheduling a power outage, comprising:
acquiring at least one power outage plan, screening out power outage plans meeting constraint conditions, and classifying each power outage plan meeting the constraint conditions;
for each power outage plan of each type, sequentially acquiring a power grid operation risk result after each power outage plan is added;
if the running risk result of the power grid meets the termination condition, arranging each power outage plan before the added power outage plan, and making corresponding risk description and risk control measures according to the risk condition of each power outage plan;
The meeting the constraint condition comprises:
determining that the target outage plan does not satisfy the constraint if the target outage plan is at least one of:
at least one power outage plan exists in each power outage plan, the corresponding electrical equipment is the same as the electrical equipment corresponding to the target power outage plan or the corresponding electrical equipment is the same as the tower equipment, the construction period corresponding to the target power outage plan exceeds a preset construction period duration limit, the construction period corresponding to the target power outage plan is within a holiday day, and the target power outage plan is a single power outage plan;
the termination condition is that the grid operation risk result has exceeded the maximum risk that the grid operation can withstand.
2. The method of claim 1, wherein after the obtaining at least one outage plan, further comprising:
and prompting the user if the target power outage plan is determined to not meet the constraint condition.
3. The method of claim 2, wherein classifying each outage plan that satisfies the constraint comprises:
respectively acquiring electric equipment corresponding to each power outage plan meeting constraint conditions, and classifying each electric equipment;
the power outage plans are classified according to the category of the electrical equipment to which the power outage plans correspond.
4. The method of claim 1, wherein sequentially obtaining, for each outage plan of each type, a grid operation risk result after each outage plan is added, comprises:
sequentially adding a power failure plan according to the sequence of the types of the power failure plans;
inputting the newly-added power outage plan, the power outage plan before the newly-added power outage plan and the real-time power grid operation data into a pre-trained risk assessment model to obtain a power grid operation risk result output by the risk assessment model;
the grid operation risk result comprises at least one of the following: risk value, risk level, fault equipment, fault probability, number of lost users, voltage threshold value, overload value, and load value;
the risk value is a numerical value calculated after comprehensive risk assessment is carried out on the power grid, the risk level represents the urgent degree of the operation risk of the power grid, and the risk value corresponds to the risk level.
5. The method of claim 4, wherein determining that the grid operational risk result meets a termination condition comprises:
judging whether the risk value is larger than or equal to a preset risk limit value or judging whether the number of the power outage plans meeting the risk index in the newly added power outage plans and the power outage plans before the newly added power outage plans is larger than or equal to the preset risk number limit value, and if so, determining that the power grid operation risk result meets a termination condition;
Meeting the risk indicator, comprising:
and if the category of the electrical equipment corresponding to the power outage plan is determined to be critical, and/or the risk level in the power grid operation risk result corresponding to the power outage plan is greater than or equal to a preset risk level threshold, determining that the power outage plan meets the risk index.
6. The method of claim 4, wherein the scheduling of the blackout plans preceding the added blackout plans, and the corresponding risk description and risk control measures are formulated according to the risk condition of each blackout plan, comprises:
acquiring operation risk results of each power grid corresponding to each power outage plan before the newly added power outage plan;
and acquiring risk conditions of each fault device corresponding to each power grid operation risk result, performing risk description on each fault device, and acquiring risk control measures corresponding to each fault device by a network reconstruction method.
7. The method of claim 6, wherein obtaining risk control measures corresponding to each faulty device by a network reconfiguration method includes:
determining a target fault area corresponding to target fault equipment;
and if the standby equipment exists in the target fault area, starting the standby equipment, and determining the recovery sequence of each electrical equipment in the target fault area by adopting a power supply path recovery algorithm.
8. An arrangement device for a power outage schedule, comprising:
the power outage plan classification module is used for acquiring at least one power outage plan, screening out power outage plans meeting constraint conditions, and classifying each power outage plan meeting the constraint conditions;
the power grid operation risk result acquisition module is used for sequentially acquiring power grid operation risk results after each power outage plan is added for each power outage plan of each type;
the power outage plan arrangement module is used for arranging each power outage plan before the added power outage plan if the power grid operation risk result meets the termination condition, and making corresponding risk description and risk control measures according to the risk condition of each power outage plan;
the outage plan classification module comprises:
a constraint condition judgment unit, configured to determine that a target power outage plan does not satisfy a constraint condition if at least one of the following conditions exists in the target power outage plan;
at least one power outage plan exists in each power outage plan, the corresponding electrical equipment is the same as the electrical equipment corresponding to the target power outage plan or the corresponding electrical equipment is the same as the tower equipment, the construction period corresponding to the target power outage plan exceeds a preset construction period duration limit, the construction period corresponding to the target power outage plan is within a holiday day, and the target power outage plan is a single power outage plan;
The termination condition is that the grid operation risk result has exceeded the maximum risk that the grid operation can withstand.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements a method of scheduling a power outage plan according to any one of claims 1 to 7 when the program is executed by the processor.
10. A storage medium containing computer executable instructions which, when executed by a computer processor, are for performing the method of scheduling a power outage plan according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011197799.XA CN112288290B (en) | 2020-10-30 | 2020-10-30 | Power outage plan arrangement method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011197799.XA CN112288290B (en) | 2020-10-30 | 2020-10-30 | Power outage plan arrangement method and device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112288290A CN112288290A (en) | 2021-01-29 |
| CN112288290B true CN112288290B (en) | 2023-06-09 |
Family
ID=74353451
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011197799.XA Active CN112288290B (en) | 2020-10-30 | 2020-10-30 | Power outage plan arrangement method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112288290B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113344364B (en) * | 2021-05-31 | 2022-12-23 | 广东电网有限责任公司佛山供电局 | Power failure plan risk analysis method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004129404A (en) * | 2002-10-03 | 2004-04-22 | Hitachi Ltd | Method and device for making optimum distribution system |
| CN105913177A (en) * | 2016-04-08 | 2016-08-31 | 江苏省电力公司苏州供电公司 | Scheduling power failure plan information processing method based on cloud |
| CN110060179A (en) * | 2019-04-24 | 2019-07-26 | 国网山东省电力公司济南供电公司 | Multi-voltage grade Maintenance Schedule Optimization method and device based on risk degree of overlapping |
| CN110059913A (en) * | 2019-02-21 | 2019-07-26 | 国网浙江省电力有限公司绍兴供电公司 | A kind of quantitative estimation method counted and the power failure of future-state is planned |
| CN111815182A (en) * | 2020-07-10 | 2020-10-23 | 积成电子股份有限公司 | Power grid power failure maintenance planning method based on deep learning |
-
2020
- 2020-10-30 CN CN202011197799.XA patent/CN112288290B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004129404A (en) * | 2002-10-03 | 2004-04-22 | Hitachi Ltd | Method and device for making optimum distribution system |
| CN105913177A (en) * | 2016-04-08 | 2016-08-31 | 江苏省电力公司苏州供电公司 | Scheduling power failure plan information processing method based on cloud |
| CN110059913A (en) * | 2019-02-21 | 2019-07-26 | 国网浙江省电力有限公司绍兴供电公司 | A kind of quantitative estimation method counted and the power failure of future-state is planned |
| CN110060179A (en) * | 2019-04-24 | 2019-07-26 | 国网山东省电力公司济南供电公司 | Multi-voltage grade Maintenance Schedule Optimization method and device based on risk degree of overlapping |
| CN111815182A (en) * | 2020-07-10 | 2020-10-23 | 积成电子股份有限公司 | Power grid power failure maintenance planning method based on deep learning |
Non-Patent Citations (1)
| Title |
|---|
| 基于停电计划统筹的市县电网风险管控探讨;魏丹等;《电工文摘》;20161220(第06期);第64-66页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112288290A (en) | 2021-01-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9239816B2 (en) | Method of power system preventive control candidate measures identification self-adaptive to external environment | |
| Nguyen et al. | Preparatory operation of automated distribution systems for resilience enhancement of critical loads | |
| CN103812131A (en) | Multi-agent-based urban power grid isolated island black-start system and method | |
| CN106655158A (en) | Smart grid based distribution network self-healing control system and method | |
| CN109472459B (en) | Power grid operation task optimization method considering change overhaul risk and waiting time | |
| CN102231521A (en) | Power grid operation state identification method in distribution network self-healing control | |
| CN104701890A (en) | Wind power integrated power system spinning reserve optimizing method taking wind power overflow into consideration | |
| Liu et al. | Availability assessment based case-sensitive power system restoration strategy | |
| CN112288290B (en) | Power outage plan arrangement method and device, computer equipment and storage medium | |
| CN116131400B (en) | Battery management method, device, equipment and medium for energy storage system | |
| CN111667302A (en) | Method, device and equipment for handling abnormal clearing of power spot market | |
| CN115358558A (en) | Real-time power grid state safety checking method based on digital preplan model | |
| CN113555872A (en) | Emergency operation and maintenance method for energy storage system in bottom-protecting power grid based on disaster full cycle | |
| AU2016368519A1 (en) | Method for providing an energy reserve for an energy supply system | |
| CN117613876A (en) | Emergency resource scheduling method for large-area power failure event and related equipment thereof | |
| CN116896063B (en) | Intelligent control method and system for power transformation and distribution | |
| CN107834566A (en) | A kind of load restoration control decision monitor supervision platform | |
| CN115271561B (en) | Emergency power supply management and control system and load recovery mobile emergency power supply scheduling method | |
| CN111786460A (en) | Power grid information operation and maintenance active early warning method based on big data | |
| WO2024016206A1 (en) | Power system operation risk assessment method and apparatus | |
| CN115102187A (en) | Island microgrid management system and energy management method thereof | |
| CN115795359A (en) | Signal type distinguishing method and device and computer equipment | |
| CN110729715A (en) | Power distribution network line fault recovery method and device | |
| CN114444886A (en) | Analysis method based power distribution network damage probability evaluation method under typhoon disaster | |
| CN113922358A (en) | Method for rapidly evaluating reliability of time sequence operation of power distribution network containing distributed energy storage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |