CN109767062B - Dynamic generation method of power grid task disposal scheme - Google Patents
Dynamic generation method of power grid task disposal scheme Download PDFInfo
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- CN109767062B CN109767062B CN201811494581.3A CN201811494581A CN109767062B CN 109767062 B CN109767062 B CN 109767062B CN 201811494581 A CN201811494581 A CN 201811494581A CN 109767062 B CN109767062 B CN 109767062B
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- 238000012163 sequencing technique Methods 0.000 claims abstract description 5
- 230000008569 process Effects 0.000 claims description 6
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- 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
Abstract
The invention relates to a dynamic generation method of a power grid task disposal scheme, and belongs to the technical field of task sequencing. The method comprises the steps of 1) receiving at least one task generated based on an alarm event; 2) splitting the task into a plurality of independent units based on the steps required by the task to be processed, and performing association and combination according to the association between the steps corresponding to the units to form a new unit; 3) carrying out quantifiable attribute splitting on the units processed in the step 2) to obtain attribute sets of all the units, calculating Euclidean distances from all the attribute sets to typical samples, dividing the units corresponding to all the attribute sets into typical sample groups closest to the attribute sets respectively, so as to divide different processing crisis degrees of all the units, preferentially disposing critical units, then disposing emergent units and finally disposing general units. The method can greatly reduce the analysis complexity of the monitoring business event and improve the operation efficiency of the monitoring business event.
Description
Technical Field
The invention relates to a dynamic generation method of a power grid task disposal scheme, and belongs to the technical field of task sequencing.
Background
In recent years, along with the increasing pace of the development of Chinese electric power, Chinese power grids are rapidly developed, the operating voltage level of a power grid system is continuously improved, the network scale is continuously enlarged, and the monitoring management of the power grids is more and more important.
In the prior art, a plurality of monitoring technologies can carry out omnibearing monitoring on a power grid, an electric power monitoring system takes a computer, communication equipment and a measurement and control unit as basic tools, a basic platform is provided for real-time data acquisition, on-off state detection and remote control of a power transformation and distribution system, the electric power monitoring system can form a monitoring system with any complexity with detection and control equipment, and the electric power monitoring system plays a core role in power transformation and distribution monitoring, can help enterprises to eliminate islands, reduce the operation cost, improve the production efficiency and accelerate the abnormal reaction speed in the power transformation and distribution process.
In research, the applicant finds that the prior art can effectively monitor, but still lags behind in task treatment and scheme generation, and most of the prior art adopts manpower allocation. The mode has low efficiency, is easy to generate errors, and is very unfavorable for pursuing the power grid rush repair with speed and precision.
Disclosure of Invention
The invention aims to solve the technical problem of how to perform targeted task allocation according to the specific situation of a power grid task, so that the task processing process is more efficient, and provides a dynamic generation method of a power grid task disposal scheme aiming at the defects of the prior art.
The technical scheme provided by the invention for solving the technical problems is as follows: a dynamic generation method of a power grid task handling scheme executes the following steps:
1) receiving at least one task generated based on an alarm event;
2) splitting the task into a plurality of independent units based on the steps required by the task to be processed, and performing association and combination according to the association between the steps corresponding to the units to form a new unit;
splitting the task into a plurality of steps, and sequencing the steps according to the original execution sequence of the task;
secondly, according to the sequence of the task execution steps, judging whether the current step can be associated and combined with the next step of the current step according to a typical monitoring information handling manual of 500kV transformer substation called as Regulation supervision (2012) 302; if the combination is available, entering the step III; if not, entering the step IV;
if the step three is associated and combined, combining the current step and the next step of the current step to be regarded as a unit, then considering the unit as a new step, considering the new step as the current step, and returning to the step two;
if the correlation and combination can not be carried out, the current step is regarded as a unit, the next step of the current step is regarded as the current step, and the step II is returned;
when all steps of the task are regarded as units, the process of step 2) is ended;
3) carrying out quantifiable attribute splitting on the units processed in the step 2) to obtain attribute sets of all the units, calculating Euclidean distances from all the attribute sets to typical samples, dividing the units corresponding to all the attribute sets into typical sample groups closest to the attribute sets respectively, so as to divide different processing crisis degrees of all the units, preferentially disposing critical units, secondarily disposing emergent units and finally disposing general units;
the typical samples include 3 preset samples of general, emergency and crisis states.
The improvement of the technical scheme is as follows: normalizing the attribute sets in the step 3), and calculating Euclidean distances from the attribute sets to the typical samples based on the normalized attribute sets.
The improvement of the technical scheme is as follows: the normalization is performed in accordance with the following formula,
normalized value = (any element in the set of attributes-minimum element value in the set of attributes)/(maximum element value in the set of attributes-minimum element value in the set of attributes).
The invention adopts the technical scheme that the method has the beneficial effects that: the task steps are recombined, the criticality of the task units is measured according to the Euclidean distance, the tasks and the task steps are distributed for the second time, and the tasks are not completed according to the conventional task execution sequence; the method has the advantages that when the scheme is applied and operated with the power grid, the stable operation of the power grid can be effectively ensured, the corresponding speed of processing emergency situations is obviously improved compared with the original speed, the thought of the method is clear and simple, the analysis complexity of monitoring business events can be greatly reduced, and the operation efficiency of monitoring the business events is improved.
Drawings
The invention will be further described with reference to the accompanying drawings in which:
fig. 1 is a flowchart illustrating a process of splitting and merging tasks according to an embodiment of the present invention.
FIG. 2 is a schematic flow chart of a method according to an embodiment of the present invention.
Detailed Description
Examples
The dynamic generation method for the power grid task handling scheme of the embodiment executes the following steps:
1) receiving at least one task generated based on an alarm event;
2) splitting the task into a plurality of independent units based on the steps required to be handled by the task, and performing association and combination according to the association between the steps corresponding to the units to form a new unit, as shown in fig. 1;
splitting the task into a plurality of steps, sequencing the steps according to the original execution sequence of the task, splitting the steps of the task item by item, and representing all the steps of a certain task M by the following set:
wherein
……
All handling steps for a certain task M. And (5) processing according to the monitoring task standard.
Secondly, according to the sequence of the task execution steps, judging whether the current step can be associated and combined with the next step of the current step according to a typical monitoring information handling manual of 500kV transformer substation called as Regulation supervision (2012) 302;
starting from the first step, if
The steps can be combined, and then the two steps are combined into a unit
If the two steps can not be combined,
is a unit
Look over
，
The steps merge the cases, and so on, where i =1,2,3 … … n.
In the method for splitting and merging in task step, a certain unit
The method can be regarded as a step, and a pairwise task step combination method is combined with the next step.
When all steps of the task are regarded as units, the process of step 2) is ended;
3) carrying out quantifiable attribute splitting on the units processed in the step 2), wherein the task units to be processed are
、
、
、
、……、
F units. The unit representative task is subjected to attribute splitting, and is split into quantifiable attribute values such as standard treatment duration, interval and the like, and the unit representative task can be split into n attributes
Presentation unit
The corresponding n description attributes, similarly,
the unit and the corresponding attribute set are
，
The unit and the corresponding attribute set are
，
The unit and the corresponding attribute set are
，
The unit and the attribute set corresponding to the unit are
The data structure can be viewed as a matrix as follows:
where a row represents n attribute values for a cell.
And standardizing the split attribute sets, and balancing the influence of each attribute on the substation evaluation by mapping each attribute set to the same value interval in proportion. Each attribute is typically mapped to a [0,1] interval. The specific method comprises the following steps:
wherein
A value representing an attribute of a certain unit,
represents the minimum value of each element of a certain attribute,
representing the maximum value of each element of a certain attribute. By normalizing the data in equation (1) according to equation (2), equation (1) is transformed into the following matrix:
according to historical experience, 3 typical sample units are selected according to 3 grades of general, emergency and crisis states in a historical processing task unit according to different emergency degrees of treatment, wherein the typical sample units are respectively as follows:
calculating Euclidean distances from each attribute set to typical sample unit to obtain
To
The euclidean distance of the general state is taken as an example:
the same can be obtained
、
And an
、
、
、
To
、
The euclidean distance of (c). Will be provided with
、
、
、
、
The units are divided into groups with Euclidean distances to three typical units to obtain
、
、
、
、
To handle crisis levels.
The present invention is not limited to the above-described embodiments. All technical solutions formed by equivalent substitutions fall within the protection scope of the claims of the present invention.
Claims (3)
1. A dynamic generation method of a power grid task handling scheme is characterized by comprising the following steps:
1) receiving at least one task generated based on an alarm event;
2) splitting the task into a plurality of independent units based on the steps required by the task to be processed, and performing association and combination according to the association between the steps corresponding to the units to form a new unit;
splitting the task into a plurality of steps, and sequencing the steps according to the original execution sequence of the task;
secondly, according to the sequence of the task execution steps, judging whether the current step can be associated and combined with the next step of the current step according to a typical monitoring information handling manual of 500kV transformer substation called as Regulation supervision (2012) 302; if the combination is available, entering the step III; if not, entering the step IV;
if the step three is associated and combined, combining the current step and the next step of the current step to be regarded as a unit, then considering the unit as a new step, considering the new step as the current step, and returning to the step two;
if the correlation and combination can not be carried out, the current step is regarded as a unit, the next step of the current step is regarded as the current step, and the step II is returned;
when all steps of the task are regarded as units, the process of step 2) is ended;
3) carrying out quantifiable attribute splitting on the units processed in the step 2) to obtain attribute sets of all the units, calculating Euclidean distances from all the attribute sets to typical samples, dividing the units corresponding to all the attribute sets into typical sample groups closest to the attribute sets respectively, so as to divide different processing crisis degrees of all the units, preferentially disposing critical units, secondarily disposing emergent units and finally disposing general units;
the typical samples include 3 preset samples of general, emergency and crisis states.
2. The method according to claim 1, wherein the method comprises: normalizing the attribute sets in the step 3), and calculating Euclidean distances from the attribute sets to the typical samples based on the normalized attribute sets.
3. The method according to claim 2, wherein the method comprises: the normalization is performed in accordance with the following formula,
normalized value = (any element in the set of attributes-minimum element value in the set of attributes)/(maximum element value in the set of attributes-minimum element value in the set of attributes).
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