CN106845802B - Historical data statistics-based power failure construction period judgment method - Google Patents

Historical data statistics-based power failure construction period judgment method Download PDF

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CN106845802B
CN106845802B CN201611263358.9A CN201611263358A CN106845802B CN 106845802 B CN106845802 B CN 106845802B CN 201611263358 A CN201611263358 A CN 201611263358A CN 106845802 B CN106845802 B CN 106845802B
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power failure
period
construction period
plan
standard
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CN106845802A (en
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朱金鑫
陆圣芝
顾振钧
袁爱俭
范永璞
金丽莉
王乐
陈艳
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State Grid Jiangsu Electric Power Co ltd Yangzhou Power Supply Branch
State Grid Corp of China SGCC
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State Grid Jiangsu Electric Power Co ltd Yangzhou Power Supply Branch
State Grid Corp of China SGCC
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0637Strategic 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

The invention discloses a power failure construction period judgment method based on historical data statistics, which comprises the following steps: extracting actual construction period time of each device under different working contents under different voltage grades and power failure places in recent years; on the basis, the original standard power failure construction period is corrected by considering the timeliness of the data, and a more reasonable standard construction period set value is obtained. Then, the current power failure plan input to the power failure information management system is subjected to period judgment, and the current period setting of the power failure plan is judged whether to be within the standard period range or not by performing key field mapping on the plan and comparing the plan with the corresponding power failure period standard. Through mapping and statistical correction of historical data, whether the time arrangement of a future power failure plan is reasonable or not is judged according to a more reasonable construction period standard, a criterion is provided for a power supply company, and the accuracy of construction period setting can be improved.

Description

Historical data statistics-based power failure construction period judgment method
Technical Field
The invention relates to a power failure period judgment method based on historical data statistics, in particular to a method for mapping key fields of data information in a historical power failure database, and belongs to the technical field of power failure period judgment.
Background
The software architecture can be generally divided into three layers: the interface display layer, the service logic layer and the data access layer. Generally, in an enterprise-level application development environment, an object-oriented development method has become a mainstream method. The object only exists in the memory, if the object data is to be stored permanently, the object needs to be persisted, that is, the object is stored in the database. On the contrary, the data is required to be loaded from the database and constructed as the object of the memory. At present, relational databases, which store data in a form that is not object-oriented, are still the mainstream, most widely used databases. Therefore, the object is accessed by the relational database, and mapping and conversion are needed, which is known as data access layer development. Writing and maintaining the mapping and translation code of the data access layer by hand can be a tedious and time consuming task due to differences between compatible database types (Oracle, Sql Server, DB2, Sybase, etc.) and versions, etc.
Moreover, for reasons of efficiency, space, and the like, data in a service application system often needs to define a plurality of entity object types, the definition, conversion, deployment, and maintenance of the object types are also cumbersome, and a universal unified data format and an object form are needed to encapsulate the data in consideration of the communication requirements between heterogeneous systems.
In addition, power supply companies are not high in utilization rate of historical power failure data, effective judgment of a set value of a power failure period is rarely performed after a power failure plan is generated, and the period length is generally set by experience, so that the scheduling of the power failure plan is not scientific, and improvement needs to be performed to the problem.
Disclosure of Invention
The technical scheme of the invention is as follows:
a power failure construction period judgment method based on historical data statistics comprises the following steps:
(1) and performing key field mapping on data information in the historical power failure database, and extracting actual power failure construction period time of each device under different working contents under different voltage levels and power failure places in recent years.
(2) And the original standard power failure construction period is corrected by considering the timeliness of the data, and a more reasonable set value of the standard construction period is obtained.
(3) And carrying out construction period judgment on the power failure plan input into the power failure information management system at present, and judging the type of the power failure plan by mapping key fields of the plan.
(4) And comparing the current period setting of the power failure plan with the similar power failure plan in the more reasonable standard power failure period setting value, and judging whether the current period setting of the power failure plan is in the standard period range.
Further, in the step (1), key field mapping is performed on data information in the historical outage database, in the field to be operated, the application form number includes a "provincial inspection" field, which indicates that the voltage level is 220kv, and does not include the "provincial inspection" field, which indicates that the voltage level is 110kv or less. The field "change" in the blackout place indicates that the blackout place is a substation, and the field "line" indicates that the blackout place is a line. The power failure equipment is mapped according to the power failure range, and the power failure reason is mapped according to the work content.
Further, in the step (2), the difference between the actual blackout period and the original standard blackout period in different time periods is calculated, the average difference of the blackout periods in the time periods is obtained, and in time effectiveness, the average difference of the blackout periods in different time periods is given a weight, the original standard blackout period is corrected by obtaining the average difference, and a more reasonable set value of the standard blackout period is obtained. Namely, the method comprises the following steps:
ΔTi=Trs-Tai
Tes=TrsiΔTi
in the formula, TrsFor the original standard power failure construction period, TaiActual blackout period, Δ T, at different time periodsiThe average difference of the power failure construction periods in different time periods is obtained. T isesThe setting value of the standard power failure construction period is more reasonable. OmegaiAverage difference value delta T of power failure construction period for different time periodsiThe occupied weight is sigmaωi1 and the closer time period we assign higher weight.
Further, in the above-mentioned (3) and (4), the power outage plan input to the power outage information management system is subjected to key field mapping, that is, fields contained therein, such as "provincial inspection", "change", "line", and the like, are searched to determine the voltage level, the power outage place, the power outage equipment, the power outage cause, and the like in the actual work table. Therefore, the power failure plan type is judged, the power failure plan type is determined to be compared with a reasonable power failure period standard set value under the power failure plan type, and whether the current power failure period set value of the power failure plan is within a more reasonable standard period range or not is judged. Whether the time arrangement of the future power failure plan is reasonable or not is judged through a more reasonable power failure construction period standard, a criterion is provided for a power supply company, and the accuracy of construction period setting can be improved.
Advantageous effects
By using the historical data statistics-based power failure period judgment method, the actual periods of equipment under different voltage levels and power failure reasons are mapped from the historical power failure information database, the standard power failure period can be corrected according to timeliness, and a more reasonable period value can be obtained, so that the period set value of a power failure plan is accurately judged, the accurate time setting of a power failure plan by a power grid company is realized, various power failure maintenance plans can be more reasonably arranged by the power grid company, and meanwhile, the dispatching work of the power failure maintenance plans can be favorably carried out.
Drawings
Fig. 1 is a flowchart of a method for determining a period of power outage based on historical data statistics.
Detailed description of the preferred embodiments
The present invention will be described in detail below with reference to the accompanying drawings.
1. And performing key field mapping on data information in the historical power failure database, and extracting actual construction period time of each device under different working contents under different voltage levels and power failure places in recent years. In the field to be operated, the application form number contains a 'provincial inspection' field which indicates that the voltage grade is 220kv, and does not contain the 'provincial inspection' field which indicates that the voltage grade is 110kv or below. The field "change" in the blackout place indicates that the blackout place is a substation, and the field "line" indicates that the blackout place is a line. The power failure equipment is mapped according to the power failure range, and the power failure reason is mapped according to the work content. If the serial number of the application form is Yangzhou branch 201505026 of provincial and maintenance company, the power outage place is Gaoyou change. The power failure ranges are 5041 high, 5042 high and 5071 post river switches, and the work content is installation test wiring. Actual work start time 2015/5/1410: approved blackout end time 2015/5/1423: 00, blackout end time 2015/5/1419: 09. namely, the representative voltage level is 220kv, the power failure generation station is a transformer substation, the power failure equipment is a switch, and the power failure reason is installation test wiring. The actual construction period is 8 hours and 34 minutes. The standard construction period is originally given as 12 hours and 24 minutes.
2. And giving weights to the construction period differences in different time periods according to the differences between the actual construction periods in different time periods and the original standard construction period and the timeliness, and solving the average difference to correct the original standard construction period to obtain a more reasonable set value of the standard construction period. Namely, the method comprises the following steps:
ΔTi=Trs-Tai
Tes=TrsiΔTi
in the formula, TrsFor the original standard construction period, TaiActual time periods, Δ T, of different time periodsiThe construction periods are different in different time periods. T isesThe obtained more reasonable standard construction period set value is obtained. OmegaiFor different time period construction period difference value delta TiThe occupied weight is sigma omegai1 and the closer time period we assign higher weight. For example, historical power failure data of nearly 9 months (3-12 months) is selected, the average value of the difference of the construction periods within 9-12 months is given with the weight of 0.6, the average value of the difference of the construction periods within 6-9 months is given with the weight of 0.3, and the average value of the difference of the construction periods within 3-6 months is given with the weight of 0.1.
3. And carrying out construction period judgment on the power failure plan input into the power failure information management system at present, and judging the type of the power failure plan by mapping key fields of the plan. And comparing the current period setting of the power failure plan with the corresponding power failure period standard, and judging whether the current period setting of the power failure plan is within the standard period range. The method comprises the steps of mapping key fields of a power failure plan input into a power failure information management system, namely retrieving fields contained in the power failure plan, such as 'provincial inspection', 'variation', 'line' and the like to determine the voltage level, the power failure place, power failure equipment, the power failure reason and the like in an actual working table. Therefore, the type of the power failure plan is judged, the standard power failure construction period is determined, the standard power failure construction period and the standard power failure construction period are compared, and whether the current power failure construction period setting of the power failure plan is within the standard construction period range or not is judged. Whether the time arrangement of the future power failure plan is reasonable or not is judged through a more reasonable power failure construction period standard, a criterion is provided for a power supply company, and the accuracy of construction period setting can be improved.

Claims (3)

1. A power failure construction period judgment method based on historical data statistics is characterized by comprising the following steps:
(1) performing key field mapping on data information in a historical power failure database, and extracting construction period time of each device under different working contents under different voltage levels and power failure places in recent years;
(2) the timeliness of the data is considered, the original standard power failure construction period is corrected, and a more reasonable set value of the standard power failure construction period is obtained;
in the step (2), the difference between the actual power failure period and the original standard power failure period in different time periods is calculated, the power failure period difference in the time period is obtained, and the power failure period difference in the different time periods is given a weight to correct the original standard power failure period according to the timeliness, so that a more reasonable set value of the standard power failure period is obtained, namely:
ΔTi=Trs-Tai
Tes=TrsiΔTi
in the formula, TrsFor the original standard power failure period, TaiActual power failure construction period of different time periods, delta TiThe difference value of the power failure construction period in different time periods; t isesSetting a more reasonable standard power failure construction period value; omegaiFor different time periods, the power failure construction period difference value delta TiThe occupied weight is sigma omegai1, and the more recent time period is given higher weight;
(3) the method comprises the steps of judging the construction period of a power failure plan input into a power failure information management system at present, and judging the type of the power failure plan by mapping key fields of the power failure plan;
(4) and comparing the power failure type judged according to the key field mapping with the power failure plan of the same type in the obtained more reasonable standard power failure period set value, and judging whether the current period setting of the power failure plan is within the range of the more reasonable standard power failure period set value.
2. The method according to claim 1, wherein in the step (1), key field mapping is performed on data information in the historical outage database, and in the field to be operated, the application form number contains a "provincial inspection" field which indicates that the voltage level is 220kV, and does not contain the "provincial inspection" field which indicates that the voltage level is 110kV or less; if the field contained in the power failure place is changed, the power failure place is a transformer substation, and if the field contained in the power failure place is a line, the power failure place is a line; the power failure equipment is mapped according to the power failure range, and the power failure reason is mapped according to the work content.
3. The method according to claim 1 or 2, wherein in the steps (3) and (4), the power outage plan input into the power outage information management system is mapped into key fields, namely, the fields contained in the power outage plan are searched to determine the voltage level, the power outage place, the power outage equipment and the power outage reason in the actual working table, so as to judge the type of the power outage plan, find more reasonable standard set values of the power outage duration under the type, and compare the standard set values to judge whether the current power outage duration setting of the power outage plan is within the more reasonable standard set value of the power outage duration; whether the time arrangement of the future power failure plan is reasonable or not is judged through a more reasonable standard power failure construction period set value, a criterion is provided for a power supply company, and the accuracy of the power failure construction period setting is improved.
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