CN115204622A - Risk control method, device and equipment based on power grid and storage medium - Google Patents
Risk control method, device and equipment based on power grid and storage medium Download PDFInfo
- Publication number
- CN115204622A CN115204622A CN202210718027.9A CN202210718027A CN115204622A CN 115204622 A CN115204622 A CN 115204622A CN 202210718027 A CN202210718027 A CN 202210718027A CN 115204622 A CN115204622 A CN 115204622A
- Authority
- CN
- China
- Prior art keywords
- risk
- information
- power grid
- value
- preset
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 74
- 238000003860 storage Methods 0.000 title claims abstract description 20
- 238000012954 risk control Methods 0.000 title claims description 12
- 238000012502 risk assessment Methods 0.000 claims abstract description 70
- 238000012423 maintenance Methods 0.000 claims abstract description 53
- 238000011156 evaluation Methods 0.000 claims abstract description 26
- 238000007726 management method Methods 0.000 claims description 49
- 238000010586 diagram Methods 0.000 claims description 28
- 238000004590 computer program Methods 0.000 claims description 15
- 238000010276 construction Methods 0.000 claims description 11
- 230000007547 defect Effects 0.000 claims description 10
- 238000013507 mapping Methods 0.000 claims description 10
- 239000000126 substance Substances 0.000 claims 1
- 238000012545 processing Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 238000009826 distribution Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008439 repair process Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 230000002787 reinforcement Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000003442 weekly effect Effects 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
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2468—Fuzzy queries
-
- 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
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- 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
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Software Systems (AREA)
- Fuzzy Systems (AREA)
- Health & Medical Sciences (AREA)
- Mathematical Physics (AREA)
- Primary Health Care (AREA)
- Automation & Control Theory (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Probability & Statistics with Applications (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a risk management and control method, device, equipment and storage medium based on a power grid. The method comprises the following steps: automatically receiving service data based on a preset data interface, wherein the service data comprises power grid fault data and power grid maintenance data; matching information in a preset risk library by using a preset fuzzy matching method based on the service data to generate corresponding risk evaluation information, wherein the risk evaluation information comprises a risk level and a fault type; and generating alarm information according to the risk assessment information to prompt the risk of the power grid of the user. According to the technical scheme of the embodiment of the invention, the power grid risk warning information can be issued in time, and the efficiency of power grid risk maintenance management and control is also improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a risk control method, device, equipment and storage medium based on a power grid.
Background
The whole of the substation and the transmission and distribution line of various voltages in the power system is called a power grid. The system comprises three units of power transformation, power transmission and power distribution. The damage of the stability of the power system can cause the interruption of power supply of a large number of users and even the disruption of the whole system, with serious consequences. Therefore, the stability of the operation of the power system is kept, and the method has very important significance for the safe and reliable operation of the power system.
The maintenance risk management and control is key work of power grid operation, can effectively prevent large-area power failure risk of the power grid, and is a comprehensive coverage, whole-course management and control and efficient collaborative power grid safety risk management and control mechanism taking scientific prevention as guidance and flow management as means and whole-course closed-loop supervision as support. The maintenance risk management and control comprises links of risk assessment, risk pre-control measure implementation, real-time management and control during the effective period of risk, closed-loop risk management and the like.
However, the maintenance risk management and control are arranged in the scheduling operation management system, the risk process management and control are arranged in the production management system, effective interactive interconnection is lacked between the two systems, and therefore all links of maintenance management and control need manual processing, and potential safety hazards such as untimely risk release exist.
Disclosure of Invention
The invention provides a risk control method, device, equipment and storage medium based on a power grid, and aims to solve the problem of low power grid risk control efficiency.
In a first aspect, an embodiment of the present invention provides a risk management and control method based on a power grid, including:
automatically receiving service data based on a preset data interface, wherein the service data comprises power grid fault data and power grid overhaul data;
matching information in a preset risk library by using a preset fuzzy matching method based on the service data to generate corresponding risk evaluation information, wherein the risk evaluation information comprises a risk level and a fault type;
and generating alarm information according to the risk assessment information to prompt the risk of the power grid of the user.
In a second aspect, an embodiment of the present invention provides a risk management and control device based on a power grid, including:
the service data receiving module is used for automatically receiving service data based on a preset data interface, wherein the service data comprises power grid fault data and power grid maintenance data;
a risk assessment information generation module, configured to match information in a preset risk library by using a preset fuzzy matching method based on the service data, and generate corresponding risk assessment information, where the risk assessment information includes a risk level and a fault type;
and the warning information generating module is used for generating warning information according to the risk assessment information so as to prompt the risk of the power grid of the user.
In a third aspect, an embodiment of the present invention provides an electronic device, where the electronic device includes:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the power grid based risk management method of the first aspect described above.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are configured to, when executed, cause a processor to implement the power grid-based risk management and control method according to the first aspect.
The risk management and control scheme based on the power grid provided by the embodiment of the invention automatically receives service data based on a preset data interface, wherein the service data comprises power grid fault data and power grid maintenance data, information in a preset risk library is matched by using a preset fuzzy matching method based on the service data to generate corresponding risk evaluation information, the risk evaluation information comprises a risk level and a fault type, and alarm information is generated according to the risk evaluation information to prompt a user about the risk of the power grid. By adopting the technical scheme, the risk assessment information is determined based on the preset fuzzy matching method and the preset risk library according to the received service data, then the warning information is generated according to the risk assessment information to prompt the user about the risk of the power grid, the power grid risk warning information can be issued in time, and the efficiency of power grid risk maintenance management and control is improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced 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 based on these drawings without creative efforts.
Fig. 1 is a flowchart of a risk management and control method based on a power grid according to an embodiment of the present invention;
fig. 2 is a flowchart of a risk management and control method based on a power grid according to a second embodiment of the present invention;
FIG. 3 is a plot of distribution of risk amount of a region according to the second embodiment of the present invention;
fig. 4 is a schematic structural diagram of a risk management and control device based on a power grid according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. In the description of the present invention, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated object, indicating that there may be three relationships, for example, a and/or B, which may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a risk management and control method based on a power grid according to an embodiment of the present invention, where the method is applicable to managing and controlling a risk of a power grid fault, and the method may be executed by a risk management and control device based on a power grid, where the risk management and control device based on a power grid may be implemented in a form of hardware and/or software, and the risk management and control device based on a power grid may be configured in an electronic device, and the electronic device may be formed by two or more physical entities or may be formed by one physical entity.
As shown in fig. 1, a risk management and control method based on a power grid according to an embodiment of the present invention specifically includes the following steps:
and S101, automatically receiving the service data based on a preset data interface.
The service data comprises power grid fault data and power grid maintenance data.
Illustratively, the uploaded business data may be automatically updated according to a preset data interface of the risk management and control platform or the evaluation system of the transport party, such as a web service interface. The risk management and control platform can be understood as a power grid risk management and control platform of a higher level (such as provincial and municipal levels), most users of the risk management and control platform are basic-level maintenance personnel, the carrier evaluation system can be understood as a risk management and control system of a lower level (such as district and county level areas), and most users of the risk management and control platform are basic-level maintenance personnel or related management personnel. The service data can comprise power grid fault data, power grid maintenance data and the like, the power grid fault data can comprise main station line trip information, intra-station trip information and the like, and the power grid maintenance data can comprise monthly risk maintenance plans, weekly maintenance plans and the like.
And S102, matching information in a preset risk library by using a preset fuzzy matching method based on the service data to generate corresponding risk evaluation information.
Wherein the risk assessment information includes a risk level and a fault type.
In this embodiment, the information in the preset risk library may be matched by using a preset fuzzy matching method according to the received service data, and corresponding risk assessment information may be generated according to a matching result. The preset fuzzy matching may be understood as finding out a corresponding result through a plurality of keywords or keywords, which may include like search or grep search, and the preset risk library may be constructed according to historical power grid fault data and historical power grid overhaul data, and may include a power grid operation reference risk library, a risk library based on problems, and the like. The power grid operation reference risk library can contain basic information such as risk level, type, equipment element, voltage level, equipment importance, social influence parameters, load property factors, equipment type probability value and the like of the fault; the problem-based risk library may contain full process information such as risk name, rating, start time, and release time.
S103, generating alarm information according to the risk assessment information to prompt the user about the risk of the power grid.
In this embodiment, it may be determined whether alarm information needs to be generated according to the risk level and the fault type in the risk assessment information to prompt and alarm the user, for example, if the risk level is low or the fault type is not a specific type, the alarm information may not be generated, and if the risk level is high or the fault type is a specific type, the alarm information may be generated. The alarm information may include risk level, fault type, fault time, and the like, and the display mode of the alarm information may be screen display of the mobile terminal or alarm through sound, and the like.
The risk control method based on the power grid provided by the embodiment of the invention is based on a preset data interface, automatically receives service data, wherein the service data comprises power grid fault data and power grid maintenance data, matches information in a preset risk library by using a preset fuzzy matching method based on the service data, and generates corresponding risk evaluation information, wherein the risk evaluation information comprises a risk level and a fault type, and generates alarm information according to the risk evaluation information so as to prompt a user about the risk of the power grid. According to the technical scheme of the embodiment of the invention, the risk assessment information is determined based on the preset fuzzy matching method and the preset risk library according to the received service data, and then the warning information is generated according to the risk assessment information to prompt the risk of the power grid of a user, so that the power grid risk warning information can be issued in time, and the efficiency of power grid risk maintenance management and control is improved.
Example two
Fig. 2 is a flowchart of a risk management and control method based on a power grid according to a second embodiment of the present invention, and the technical solutions of the embodiments of the present invention are further optimized based on the above optional technical solutions, and a specific manner of managing and controlling a risk of a power grid fault is given.
Optionally, the matching, based on the service data, information in a preset risk library by using a preset fuzzy matching method to generate corresponding risk assessment information includes: automatically generating fault condition information and maintenance content information according to the service data, wherein the fault condition information comprises fault time and fault phenomenon description; matching fault type information in a preset risk library by using a preset fuzzy matching method according to the fault condition information and the overhaul content information; and determining risk assessment information according to the matching result. The method has the advantages that information such as fault conditions, fault types and the like can be rapidly determined from the business data, and support is provided for timely alarming of risks.
Optionally, the generating alarm information according to the risk assessment information to prompt a user of a risk existing in the power grid includes: prompting risk information to a user based on the risk assessment information; and when the risk level exceeds a preset level, generating alarm information, and prompting the risk of the power grid to the user in a preset mode. The advantage of setting up like this is, for the user in time provides electric wire netting risk information and warning information, can let the user know the electric wire netting risk condition in the very first time.
As shown in fig. 2, a risk management and control method based on a power grid provided by a second embodiment of the present invention specifically includes the following steps:
s201, based on a preset data interface, automatically receiving service data.
And S202, automatically generating fault condition information and overhaul content information according to the service data.
The fault condition information comprises fault time and fault phenomenon description.
For example, the fault may include a line trip, a bus trip, a main transformer trip, a line disconnection, a section overload, an equipment overload, and the like, and trip condition information of the trip fault may be automatically generated according to grid fault data and grid maintenance data in the service data, for example, "XXX station 110kvxx line 129 switch zero sequence 1 section protection, distance 1 section protection trip, reclosing success, ranging 3.3KM, fault phase C, no load loss, power transmission management institute XXX (name of a person), 2016-09-12 report 24" similarly, and according to grid fault data and grid maintenance data in the service data, maintenance content information may also be automatically generated, for example, "lightning arrester migration, and reinforcement construction in cooperation with XXX station retaining wall".
And S203, matching the fault type information in the preset risk library by using a preset fuzzy matching method according to the fault condition information and the overhaul content information.
Specifically, the fault condition information and the overhaul content information are usually stored in a database, and multi-service table joint query can be performed, and the fault type information in the preset risk library is matched for the fields in the fault condition information and the overhaul content information by using a preset fuzzy matching method, such as like search.
And S204, determining risk assessment information according to the matching result.
Specifically, based on the matching result, the possible risk of the power grid can be deduced, that is, the risk assessment information is determined.
Further, the determining risk assessment information according to the matching result includes:
(1) And determining a fault type, a risk hazard value and the risk probability value according to the service data and the matching result, wherein the risk hazard value is determined based on at least one of a severity value, a social influence value and a loss load, and the risk probability value is determined based on at least one of an equipment type value, a fault category value, a historical statistic value, a weather influence value, an equipment defect value, a maintenance time value, a site construction value, a control measure value and an operation risk value.
Specifically, the fault type of the power grid can be determined based on the matching result, and the risk hazard value and the risk probability value can be determined according to the service data and the fault type.
For example, the risk hazard value may be a product of the severity value, the social impact value, and the loss load, i.e., risk hazard value = severity value + social impact value + loss load. The severity value can be graded according to the risk hazard of the power grid to obtain different scores, such as 200 to 250 scores for general accidents, 400 to 600 scores for extra-large accidents, and the like, the social influence value can be graded according to the social influence, such as 1.2 scores for special period protection power supply, 1.4 scores for secondary protection power supply, and the like, and the loss load can be graded according to the importance of the loss load or the importance of users, such as 1.2 to 2.5 scores for special and primary important users, and the general load can be graded 1 and the like.
Optionally, the risk hazard value may also be a weighted product or a weighted sum of the severity value, the social impact value, and the loss load, or the like, i.e., the risk hazard value = a severity value × B social impact value × C loss load, or the risk hazard value = a severity value + B social impact value + C loss load. A, B, C, a, B and C are weight coefficients, and can be set according to actual conditions.
For example, the risk probability value may be a product of an equipment type value, a fault category value, a historical statistical value, a weather influence value, an equipment defect value, a repair time value, a field construction value, a control measure value, and an operation risk value, i.e., the risk probability value = the equipment type value + the fault category value + the historical statistical value + the weather influence value + the equipment defect value + the repair time value + the field construction value + the control measure value + the operation risk value. Wherein, the device type value can be used for obtaining different scores according to the type of the device, such as main transformer fault, 0.8 score, bus fault, 0.4 score and the like, the fault category value can be used for obtaining different scores according to the type of the fault, such as primary fault, 0.8 to 1.2 score, secondary fault, 0.1 to 0.6 score and the like, the historical statistic value can be used for obtaining different scores according to the historical fault times, such as the annual average fault times of the device, 1.02 score for each fault of each hundred kilometers of the overhead transmission line, 0.13 score for each fault of each hundred main transformers, and the weather influence value can be used for obtaining different scores according to the weather conditions, such as typhoon weather, 1 to 4 score, thunderstorm weather, 1 to 2 score and the like, the defect value of the equipment can be different scores according to the state of the equipment, such as the normal state, the defect value can be 1 score, the equipment is abnormal, such as 1.1 score, the maintenance time value can be different scores according to the maintained time or the predicted maintenance time, such as 1 to 2 days, such as 0.6 score, 3 to 7 days, such as 0.7 to 1 score, the field construction value can be different scores according to the influence of the field construction on the running equipment, such as 1 to 2.5 score, the control measure value can be different scores according to the inspection mode of the equipment, such as the unavailable inspection, such as the 1 score, the special inspection of the equipment, such as 0.8 score, the operation risk value can be different scores according to the risk of the operation, such as the no switching operation, such as the 1 score, the switching operation of the bus, such as the 1.3 score.
Optionally, the risk probability value may also be a weighted product or a weighted sum of an equipment type value, a fault category value, a historical statistical value, a weather influence value, an equipment defect value, a maintenance time value, a site construction value, a control measure value, and an operation risk value, that is, the risk probability value = D, the equipment type value, E, the fault category value, F, the historical statistical value, G, the weather influence value, H, the equipment defect value, I, the maintenance time value, J, the site construction value, K, the control measure value, L, the operation risk value, or the risk probability value = D, the equipment type value, the fault category value, F, the historical statistical value, G, the weather influence value, H, the equipment defect value, I, the site construction value, K, the control measure value, and the operation risk value. Wherein D to L and D to L are weight coefficients, which can be set according to actual conditions.
(2) Determining a risk value based on the risk hazard value and the risk probability value.
For example, the risk value may be a product of the risk hazard value and the risk probability value, i.e. the product of the risk value = risk hazard value x risk probability value.
(3) And determining a risk grade according to the risk value.
For example, the risk level may be determined according to the magnitude of the risk value. If the risk value is greater than or equal to 1500, the risk level is determined to be level 1, if the risk value is greater than or equal to 800 and less than 1500, the risk level is determined to be level 2, if the risk value is greater than or equal to 120 and less than 800, the risk level is determined to be level 3, if the risk value is greater than or equal to 20 and less than 120, the risk level is determined to be level 4, if the risk value is greater than or equal to 5 and less than 20, the risk level is determined to be level 5, and if the risk value is less than 5, the risk level is determined to be level 6.
(4) And determining risk evaluation information according to the risk level and the fault type.
Specifically, the risk assessment information may include, in addition to the risk level and the failure type, information such as risk start time, failure equipment, and a person in charge, and the content included in the risk assessment information may be increased or decreased according to the actual situation.
Optionally, after the information in the preset risk library is matched based on the service data by using a preset fuzzy matching method to generate corresponding risk assessment information, the method includes: generating a mapping relation between the fault condition information and the overhaul content information and the risk assessment information according to the risk assessment information; and storing the related content of the business data into a preset risk library according to the mapping relation.
For example, as shown in table 1 below, after the risk assessment information is generated, according to the information and the type shown in the following table, a mapping relationship between the overhaul content information and the risk assessment information, that is, a correspondence relationship between the overhaul content and the risk level and the fault type, may be generated, and then the relevant content of the business data including the mapping relationship may be stored in the preset risk database.
TABLE 1 mapping relationship Table
And S205, prompting the risk information to the user based on the risk assessment information.
Specifically, according to the risk level and the fault type included in the risk assessment information, the risk information can be prompted to the user. The risk information may also include information such as risk level, fault type, fault time, and the like, but the prompting modes of the risk information and the warning information may be different, for example, the risk information may be displayed through a monitoring screen related to the power grid, the warning information may be displayed through a monitoring screen related to the power grid, and a sound reminding mode is added.
And S206, when the risk level exceeds the preset level, generating alarm information, and prompting the risk of the power grid to a user in a preset mode.
For example, if the risk level in the risk assessment information exceeds four levels, corresponding warning information may be generated, and the risk of the power grid may be prompted to a user in a preset manner, for example, by displaying the warning information to a monitoring screen related to the power grid and ringing the warning information, where the user includes a maintainer related to the power grid or a manager of the power grid.
Optionally, after the generating the corresponding risk assessment information, the method further includes: and automatically generating risk analysis information and maintenance information according to the risk assessment information, wherein the risk analysis information comprises risk release time, and the maintenance information comprises a maintenance plan, a maintenance recommendation strategy and maintenance progress information.
Specifically, if the power grid has a fault risk, according to the risk level, the fault type and the service data in the risk assessment information, the risk release time can be automatically generated, the risk estimated solution time of the risk and the risk analysis information such as the risk elimination difficulty can be estimated, meanwhile, a corresponding maintenance plan can be formulated, and maintenance information such as a maintenance recommendation strategy and maintenance process information can be automatically generated. The overhaul recommendation strategy can be understood as a recommendation method for solving the current fault or risk. Optionally, the information may be stored in a related database to provide data support for data analysis in the future.
According to the risk control method based on the power grid, provided by the embodiment of the invention, the business data are received, the fault condition information and the maintenance content information are automatically generated, and then the risk evaluation information such as the risk level, the fault type and the like is determined based on the preset fuzzy matching method and the preset risk library, wherein a risk data schematic diagram can be generated according to the preset risk library, and then the risk information or the alarm information is prompted to the user according to the risk evaluation information to prompt the risk of the power grid of the user.
On the basis of the above embodiment, the method may further include:
generating a risk data schematic diagram according to information in a preset risk library, and displaying the risk data of the power grid in a multi-dimensional manner, wherein the risk data schematic diagram comprises a line diagram, a regional diagram and a bar diagram; and generating a power grid line schematic diagram according to the information in the preset risk library so as to show the power grid line trend of the power grid to users. The method has the advantages that the risk data schematic diagram and the power grid line schematic diagram can be automatically generated, complex power grid data are visualized, and related personnel can conveniently analyze the power grid data.
Specifically, a corresponding risk data schematic diagram and a power grid line schematic diagram may be generated according to information in a preset risk library. Fig. 3 is a schematic diagram of a distribution ratio of regional risk numbers, as shown in fig. 3, which is a pie chart of the distribution ratio of grid risk numbers in a region in 2020, and it is clear from the chart that the regional urban risk number ratio is the largest, i.e., the risk number is the largest.
EXAMPLE III
Fig. 4 is a schematic structural diagram of a risk management and control device based on a power grid according to a third embodiment of the present invention. As shown in fig. 4, the apparatus includes: a service data receiving module 301, a risk assessment information generating module 302 and an alarm information generating module 303, wherein:
the service data receiving module is used for automatically receiving service data based on a preset data interface, wherein the service data comprises power grid fault data and power grid overhaul data;
a risk assessment information generation module, configured to match information in a preset risk library by using a preset fuzzy matching method based on the service data, and generate corresponding risk assessment information, where the risk assessment information includes a risk level and a fault type;
and the warning information generating module is used for generating warning information according to the risk assessment information so as to prompt the risk of the power grid of the user.
According to the risk control device based on the power grid, provided by the embodiment of the invention, the risk evaluation information is determined based on the preset fuzzy matching method and the preset risk library according to the received service data, and then the warning information is generated according to the risk evaluation information to prompt the risk of the power grid of a user, so that the risk control device based on the power grid can release the risk warning information of the power grid in time, and the efficiency of power grid risk maintenance control is also improved.
Optionally, the risk assessment information generating module includes:
the information generating unit is used for automatically generating fault condition information and overhaul content information according to the service data, wherein the fault condition information comprises fault time and fault phenomenon description;
the fault type matching unit is used for matching fault type information in a preset risk library by using a preset fuzzy matching method according to the fault condition information and the overhaul content information;
and the risk assessment information determining unit is used for determining the risk assessment information according to the matching result.
Further, the determining risk assessment information according to the matching result includes: determining a fault type, a risk hazard value and the risk probability value according to the service data and the matching result, wherein the risk hazard value is determined based on at least one of a severity value, a social influence value and a loss load, and the risk probability value is determined based on at least one of an equipment type value, a fault category value, a historical statistic value, a weather influence value, an equipment defect value, an overhaul time value, a site construction value, a control measure value and an operation risk value; determining a risk value based on the risk hazard value and the risk probability value; determining a risk level according to the risk value; and determining risk evaluation information according to the risk level and the fault type.
Optionally, the apparatus further includes:
the mapping relation generating module is used for generating the mapping relation between the fault condition information and the overhaul content information and the risk evaluation information according to the risk evaluation information;
and the storage module is used for storing the related content of the business data into a preset risk library according to the mapping relation.
Optionally, the warning information generating module includes:
a risk information prompting unit for prompting risk information to a user based on the risk assessment information;
and the warning information generating unit is used for generating warning information when the risk level exceeds a preset level and prompting the risk of the power grid to the user in a preset mode.
Optionally, the apparatus further includes:
and the risk analysis information and maintenance information generation module is used for automatically generating risk analysis information and maintenance information according to the risk assessment information, wherein the risk analysis information comprises risk release time, and the maintenance information comprises a maintenance plan, a maintenance recommendation strategy and maintenance progress information.
Optionally, the apparatus further includes:
the risk data schematic diagram generating module is used for generating a risk data schematic diagram according to the information in the preset risk library, and displaying the risk data of the power grid in a multidimensional manner, wherein the risk data schematic diagram comprises a line diagram, an area diagram and a bar diagram;
and the power grid line schematic diagram generating module is used for generating a power grid line schematic diagram according to the information in the preset risk library so as to show the power grid line trend of the power grid to a user.
The risk control device based on the power grid, provided by the embodiment of the invention, can execute the risk control method based on the power grid, provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Example four
FIG. 5 illustrates a schematic diagram of an electronic device 40 that may be used to implement an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 40 includes at least one processor 41, and a memory communicatively connected to the at least one processor 41, such as a Read Only Memory (ROM) 42, a Random Access Memory (RAM) 43, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 41 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 42 or the computer program loaded from the storage unit 48 into the Random Access Memory (RAM) 43. In the RAM 43, various programs and data necessary for the operation of the electronic apparatus 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other via a bus 44. An input/output (I/O) interface 45 is also connected to the bus 44.
A number of components in the electronic device 40 are connected to the I/O interface 45, including: an input unit 46 such as a keyboard, a mouse, etc.; an output unit 47 such as various types of displays, speakers, and the like; a storage unit 48 such as a magnetic disk, optical disk, or the like; and a communication unit 49 such as a network card, modem, wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
In some embodiments, the grid-based risk management method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 40 via the ROM 42 and/or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the grid-based risk management method described above may be performed. Alternatively, in other embodiments, processor 41 may be configured to perform the grid-based risk management method by any other suitable means (e.g., by way of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
The computer device provided by the foregoing can be used to execute the power grid-based risk management and control method provided by any of the foregoing embodiments, and has corresponding functions and beneficial effects.
EXAMPLE five
In the context of the present invention, a computer-readable storage medium may be a tangible medium, which when executed by a computer processor, is for performing a grid-based risk management method, the method comprising:
automatically receiving service data based on a preset data interface, wherein the service data comprises power grid fault data and power grid maintenance data;
matching information in a preset risk library by using a preset fuzzy matching method based on the service data to generate corresponding risk evaluation information, wherein the risk evaluation information comprises a risk level and a fault type;
and generating alarm information according to the risk assessment information to prompt the risk of the power grid of the user.
In the context of the present invention, a computer readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer device provided by the above can be used to execute the risk management and control method based on the power grid provided by any of the above embodiments, and has corresponding functions and beneficial effects.
It should be noted that, in the embodiment of the risk management and control device based on the power grid, each included unit and each included module are only divided according to functional logic, but are not limited to the above division, as long as corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. 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, although the present invention has been described in some detail by the above embodiments, the invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the invention, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. A risk control method based on a power grid is characterized by comprising the following steps:
automatically receiving service data based on a preset data interface, wherein the service data comprises power grid fault data and power grid maintenance data;
matching information in a preset risk library by using a preset fuzzy matching method based on the service data to generate corresponding risk evaluation information, wherein the risk evaluation information comprises a risk level and a fault type;
and generating alarm information according to the risk assessment information to prompt the risk of the power grid of the user.
2. The method according to claim 1, wherein the matching information in a preset risk library by using a preset fuzzy matching method based on the business data to generate corresponding risk assessment information comprises:
automatically generating fault condition information and maintenance content information according to the service data, wherein the fault condition information comprises fault time and fault phenomenon description;
matching fault type information in a preset risk library by using a preset fuzzy matching method according to the fault condition information and the overhaul content information;
and determining risk assessment information according to the matching result.
3. The method of claim 2, wherein determining risk assessment information based on the matching results comprises:
determining a fault type, a risk hazard value and the risk probability value according to the service data and the matching result, wherein the risk hazard value is determined based on at least one of a severity value, a social influence value and a loss load, and the risk probability value is determined based on at least one of an equipment type value, a fault category value, a historical statistic value, a weather influence value, an equipment defect value, an overhaul time value, a site construction value, a control measure value and an operation risk value;
determining a risk value based on the risk hazard value and the risk probability value;
determining a risk level according to the risk value;
and determining risk evaluation information according to the risk level and the fault type.
4. The method according to claim 1, wherein after matching information in a preset risk bank by using a preset fuzzy matching method based on the business data to generate corresponding risk assessment information, the method comprises:
generating a mapping relation between the fault condition information and the overhaul content information and the risk assessment information according to the risk assessment information;
and storing the related content of the business data into a preset risk library according to the mapping relation.
5. The method according to claim 1, wherein generating an alarm message to prompt a user of the risk of the power grid according to the risk assessment message comprises:
prompting risk information to a user based on the risk assessment information;
and when the risk level exceeds a preset level, generating alarm information, and prompting the risk of the power grid to the user in a preset mode.
6. The method of claim 1, further comprising, after said generating respective risk assessment information:
and automatically generating risk analysis information and maintenance information according to the risk assessment information, wherein the risk analysis information comprises risk release time, and the maintenance information comprises a maintenance plan, a maintenance recommendation strategy and maintenance progress information.
7. The method of claim 1, further comprising:
generating a risk data schematic diagram according to the information in the preset risk library, and displaying the risk data of the power grid in a multidimensional manner, wherein the risk data schematic diagram comprises a line graph, an area graph and a bar graph;
and generating a power grid line schematic diagram according to the information in the preset risk library so as to show the power grid line trend of the power grid to a user.
8. A risk management and control device based on electric wire netting, its characterized in that includes:
the service data receiving module is used for automatically receiving service data based on a preset data interface, wherein the service data comprises power grid fault data and power grid maintenance data;
a risk assessment information generation module, configured to match information in a preset risk library by using a preset fuzzy matching method based on the service data, and generate corresponding risk assessment information, where the risk assessment information includes a risk level and a fault type;
and the warning information generating module is used for generating warning information according to the risk assessment information so as to prompt the risk of the power grid of the user.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the grid-based risk management method of any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the grid-based risk management and control method according to any one of claims 1-7 when executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210718027.9A CN115204622A (en) | 2022-06-23 | 2022-06-23 | Risk control method, device and equipment based on power grid and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210718027.9A CN115204622A (en) | 2022-06-23 | 2022-06-23 | Risk control method, device and equipment based on power grid and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115204622A true CN115204622A (en) | 2022-10-18 |
Family
ID=83578335
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210718027.9A Pending CN115204622A (en) | 2022-06-23 | 2022-06-23 | Risk control method, device and equipment based on power grid and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115204622A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116106671A (en) * | 2023-04-11 | 2023-05-12 | 华能济南黄台发电有限公司 | State maintenance method and system for power distribution equipment |
| CN116308278A (en) * | 2023-03-14 | 2023-06-23 | 广东电网有限责任公司茂名供电局 | Maintenance management method and system based on OSB bus |
-
2022
- 2022-06-23 CN CN202210718027.9A patent/CN115204622A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116308278A (en) * | 2023-03-14 | 2023-06-23 | 广东电网有限责任公司茂名供电局 | Maintenance management method and system based on OSB bus |
| CN116106671A (en) * | 2023-04-11 | 2023-05-12 | 华能济南黄台发电有限公司 | State maintenance method and system for power distribution equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ni et al. | Online risk-based security assessment | |
| Bo et al. | An analysis of previous blackouts in the world: Lessons for China׳ s power industry | |
| US7010437B2 (en) | Electric utility storm outage management | |
| CN115204622A (en) | Risk control method, device and equipment based on power grid and storage medium | |
| CN106408193A (en) | Power transmission line gridding risk analysis and evaluation method | |
| CN111680872B (en) | Power grid risk calculation method based on multi-source data fusion | |
| CN102324068A (en) | Power secondary equipment risk assessment method and system thereof | |
| CN102708411A (en) | Method for evaluating risk of regional grid on line | |
| CN102289582B (en) | Method for recognizing risk state of power distribution network | |
| CN106815770A (en) | It is a kind of to consider abundance and security of system the methods of risk assessment of system | |
| CN113852083A (en) | Automatic searching and early warning method, device and equipment for power grid cascading failure | |
| CN109450089A (en) | A kind of area's low-voltage recognition methods, device and terminal device | |
| CN116012189A (en) | Electric power facility flood disaster-stricken space heterogeneity analysis method and system | |
| Hong et al. | Reliability assessment of generation and transmission systems using fault-tree analysis | |
| CN117498559A (en) | Low-voltage early warning analysis method and system for power distribution network | |
| CN116799953A (en) | Equipment abnormality identification method, device and equipment based on power grid dispatching monitoring | |
| CN112598257A (en) | Power failure analysis method and system based on big data feature mining | |
| Luo et al. | Research and application of GIS‐based medium‐voltage distribution network comprehensive technical evaluation system | |
| CN115526351A (en) | Equipment inspection method and device applied to transformer substation and electronic equipment | |
| CN116308299A (en) | Risk assessment method and device for station room equipment | |
| Chang et al. | Design and application of power grid security risk assessment and hierarchical control system in natural disasters | |
| Ahmad et al. | An expert system-based restoration method for energy services | |
| Wong | Prioritization of underground transmission cable renewal projects in power electric utility companies | |
| Bhandari et al. | Ranking of bulk transmission assets for maintenance decisions | |
| Theil | Outage data analysis-the base for high voltage network reliability assessment |
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 |