CN102315640A - Failure set handling system and method for multilayer power grid - Google Patents
Failure set handling system and method for multilayer power grid Download PDFInfo
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- CN102315640A CN102315640A CN2010102230071A CN201010223007A CN102315640A CN 102315640 A CN102315640 A CN 102315640A CN 2010102230071 A CN2010102230071 A CN 2010102230071A CN 201010223007 A CN201010223007 A CN 201010223007A CN 102315640 A CN102315640 A CN 102315640A
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Abstract
The invention provides a failure set handling system for a multilayer power grid. The system comprises an acquisition device which is connected with the multilayer power grid and is used for acquiring probability parameters of failures generated in the multilayer power grid and layer parameters of layers with the failures in a real time, a simulation device which is connected with the acquisition device and is used for receiving the probability parameters and the layer parameters from the acquisition device and performing simulation computation on the basis of the failures determined by the probability parameters and the layer parameters so as to obtain countermeasure parameters, a clustering device which is connected with the acquisition device and the simulation device and is used for receiving the probability parameters and the layer parameters from the acquisition device, receiving the countermeasure parameters from the simulation device and performing clustering processing on the basis of the probability parameters, the layer parameters and the countermeasure parameters to sort and sequence the failures so as to generate a failure set, and a storage device which is connected with the clustering device and is used for storing the failure set generated by the clustering device. By analyzing attributes of the failures and aiming at different requirements of the planning and running work of a power grid, the failure set is automatically generated on purpose.
Description
Technical field
The present invention relates to power domain, relate in particular to a kind of accident collection treatment system and method for being used for the multilayer electrical network of novelty.
Background technology
Electric power system is one of maximum in the world at present artificial construction network, and its structure bulky complex gets in touch closely, influences wide with people's commercial production and daily life.Electric network composition is complicated, equipment is numerous, environmental difference is bigger, all kinds of big glitch of therefore inevitable generation, and it influences along with the difference of scale of power, fault type difference to some extent.In simulation calculation, huge scale of power and limited computing time are conflicting, and all analog computation is unrealistic to all types of faults of all devices.If can screen to all kinds of accidents in the target grid; Bigger, the of living in regional importance of probability of happening is higher, consequence serious or accident include the accident collection in; And carry out ordering and the classification under certain index, then can play the help that is highly profitable for the management of electrical network.For example, when being applied to simulation calculation, the accident collection through screening and processing can simulate the typical fault scene in the limited time like this, and the assessment electric network security in time provides decision references for Electric Power Network Planning and operation.
But it's a pity that at present for the choosing and analyze and also rest on experience and judge with classical type and choose the stage of accident, Shang Weiyou can initiatively set up and the technology appearance of processing accident collection through automation equipment.
Summary of the invention
To the above-mentioned deficiency of prior art, the present invention aims to provide the accident collection treatment system and the method that are used for the multilayer electrical network that is used to address the above problem.
According to an aspect of the present invention; A kind of accident collection treatment system that is used for the multilayer electrical network is provided; Comprise: harvester, the parameter that is connected and gathers probability parameter with the level of this accident of generation of the accident that takes place in the said multilayer electrical network in real time with said multilayer electrical network; Simulator is connected with said harvester, receives said probability parameter and said level parameter and to carrying out simulation calculation to obtain a countermeasure parameter based on said probability parameter and the determined accident of level parameter from said harvester; Clustering apparatus; Be connected with said simulator with said harvester; Receive said probability parameter and said level parameter and receive said countermeasure parameter from said harvester from said simulator; Carry out clustering processing said accident being classified and sort based on said probability parameter, level parameter and countermeasure parameter, thereby generate an accident collection; And storage device, be connected the accident collection that storage generates from said clustering apparatus with said clustering apparatus.
According to preferred embodiment of the present invention; In above-mentioned accident collection treatment system; Said clustering apparatus also comprises three processing units, and said three processing units carry out clustering processing based on k-average algorithm (k-means), k-central point algorithm (PAM) and level agglomerative algorithm respectively.These three kinds of algorithms are known by industry, therefore repeat no more here.
According to preferred embodiment of the present invention, in above-mentioned accident collection treatment system, the accident that said clustering apparatus is concentrated said accident is divided into the overall situation and pays close attention to class, moderate concern class or common concern class.
According to a further aspect in the invention, a kind of accident collection processing method that is used for the multilayer electrical network is provided, has comprised: acquisition step, the parameter of gathering probability parameter with the level of this accident of generation of the accident that takes place in the said multilayer electrical network in real time; Simulation process is to carrying out simulation calculation to obtain a countermeasure parameter based on said probability parameter and the determined accident of level parameter; The cluster step is carried out clustering processing said accident being classified and sort based on said probability parameter, level parameter and countermeasure parameter, thereby is generated an accident collection; And storing step, store the accident collection of said generation.
According to preferred embodiment of the present invention, in above-mentioned accident collection processing method, said cluster step also comprises respectively carries out clustering processing based on k-average algorithm, k-central point algorithm and level agglomerative algorithm.
According to preferred embodiment of the present invention, above-mentioned accident collection processing method also comprises: in said cluster step, the accident that said accident is concentrated is divided into overall situation concern class, moderate concern class or common concern class.
As stated; Present choosing and analyzing and rest on also that experience is judged and classical type is chosen the stage for power grid accident; Mainly be to consider conventional N-1 and part N-2 accident; And treat dissimilar accidents is as broad as long, causing the accident, completeness deficiency, the emphasis feature of choosing do not given prominence to, characteristic is not obvious, efficiency is not high.
Relatively,, can be in electric power system in large scale the property parameters of the power system accident that taken place be analyzed, obtained the accident collection, be beneficial to planning and check and scheduling simulation based on the present invention.Particularly, the present invention has chosen three important parameters targetedly and three kinds of methods come the accident that is taken place is carried out clustering processing, thereby can realization accident collection handles and the automation of screening.This has improved the efficient and the accuracy of whole operation significantly, has avoided because uncertainty and the inaccuracy that human factor causes.
Should be appreciated that the above generality of the present invention is described and following detailed description all is exemplary and illustrative, and be intended to further explanation is provided for as claimed in claim the present invention.
Description of drawings
Comprise that accompanying drawing is for providing the present invention further to be understood, they are included and are constituted the application's a part, and accompanying drawing shows embodiments of the invention, and play the effect of explaining the principle of the invention with this specification.
In the accompanying drawing:
Fig. 1 shows the sketch map according to accident collection treatment system of the present invention.
Fig. 2 schematically shows the block diagram according to accident collection processing method of the present invention.
Embodiment
Now with embodiments of the present invention will be described by referring to the drawings in detail.
Fig. 1 shows the sketch map according to accident collection treatment system of the present invention.Particularly, this accident collection treatment system is particularly useful for the multilayer electrical network.As shown in Figure 1, multilayer electrical network 101 for example is a n layer structure, promptly by n layer (101-1~101-n) constitute.This accident collection treatment system can comprise harvester 102, simulator 103, clustering apparatus 104 and storage device 105.The annexation of these devices is as shown in Figure 1.
Harvester 102 can be monitored the accident that is taken place in the multilayer electrical network 101 in real time, gathers the probability (number of times of this accident for example takes place in the unit interval) of this accident and the level that the layer of this accident occurs simultaneously.Then, harvester 102 can send to simulator 103 in the lump with the parameter of above-mentioned probability and level.The various simulation calculation devices that this simulator 103 can adopt industry generally to use are in order to simulate fault scenes, assessment electric network security in time being that the operation of electrical network provides decision references information.In other words, this simulator 103 can be to carrying out simulation calculation to obtain a countermeasure parameter based on the determined accident of above-mentioned probability and level or the like parameter.For example, this countermeasure parameter can be to concentrate the numbering to the schemes of countermeasures of a certain specific fault for the countermeasure prediction scheme that various accident is prepared.The countermeasure parameter that this simulator 103 is generated will be sent to clustering apparatus 104 together with the parameter of above-mentioned probability and level.This clustering apparatus 104 can carry out clustering processing accident being classified and sort according to probability, level and countermeasure parameter, thereby generates an accident collection.This accident collection will be sent to then in the storage device 105 and preserve.
Particularly, the present invention is according to the own characteristic of electrical network, from the three-dimensional parameter of accident, i.e. and probability, level and countermeasure parameter.According to the characteristics of this three-dimensional parameter object, preferred three kinds of clustering methods, i.e. k-average algorithm, k-central point algorithm and level agglomerative algorithm.The present invention preferably carries out cluster through these three kinds of methods to the accident with three-dimensional parameter, and multiple cluster result is analyzed comparison.Finally,, the accident collection is sorted and classifies, improved the specific aim that accident is chosen, completeness and efficiency according to the attention rate index.In addition, the orderly accident collection that is generated also can be the establishment of accident prediction and offers reference.
Particularly, above-mentioned clustering apparatus can also be divided into the overall situation according to the attention rate index with the accident that the accident that is generated is concentrated and pay close attention in the classification of class, moderate concern class and common these three different stages of concern class.Said attention rate index can and freely be confirmed according to above-mentioned three-dimensional parameter combination actual needs.
Fig. 2 shows the schematic block diagram that is used for the accident collection processing method of multilayer electrical network according to of the present invention.Corresponding to accident collection treatment system shown in Figure 1, this method can may further comprise the steps:
Storing step 204, the accident collection that storage is generated.
As stated, cluster step 203 can be carried out clustering processing based on k-average algorithm, k-central point algorithm and level agglomerative algorithm respectively.And in this cluster step 203, can the accident that accident is concentrated be divided into the overall situation according to the attention rate index and pay close attention to class, moderate concern class or common concern class.
In sum, technical scheme of the present invention is started with from the actual conditions of electrical network, and to the characteristics of electrical network self, the three-dimensional parameter of collection accident, and accident is carried out cluster according to this three-dimensional parameter helps accident to estimate the accident collection with emulation with generation.
Those skilled in the art can be obvious, can carry out various modifications and modification and without departing from the spirit and scope of the present invention to above-mentioned exemplary embodiment of the present invention.Therefore, be intended to that the present invention is covered and drop in appended claims and the come scope thereof to modification of the present invention and modification.
Claims (6)
1. accident collection treatment system that is used for the multilayer electrical network comprises:
Harvester, the parameter that is connected and gathers probability parameter with the level of this accident of generation of the accident that takes place in the said multilayer electrical network in real time with said multilayer electrical network;
Simulator is connected with said harvester, receives said probability parameter and said level parameter and to carrying out simulation calculation to obtain a countermeasure parameter based on said probability parameter and the determined accident of level parameter from said harvester;
Clustering apparatus; Be connected with said simulator with said harvester; Receive said probability parameter and said level parameter and receive said countermeasure parameter from said harvester from said simulator; Carry out clustering processing said accident being classified and sort based on said probability parameter, level parameter and countermeasure parameter, thereby generate an accident collection; And
Storage device is connected with said clustering apparatus, the accident collection that storage generates from said clustering apparatus.
2. accident collection treatment system as claimed in claim 1 is characterized in that said clustering apparatus also comprises three processing units, and said three processing units carry out clustering processing based on k-average algorithm, k-central point algorithm and level agglomerative algorithm respectively.
3. accident collection treatment system as claimed in claim 1 is characterized in that, the accident that said clustering apparatus is concentrated said accident is divided into the overall situation and pays close attention to class, moderate concern class or common concern class.
4. accident collection processing method that is used for the multilayer electrical network comprises:
Acquisition step, the parameter of gathering probability parameter with the level of this accident of generation of the accident that takes place in the said multilayer electrical network in real time;
Simulation process is to carrying out simulation calculation to obtain a countermeasure parameter based on said probability parameter and the determined accident of level parameter;
The cluster step is carried out clustering processing said accident being classified and sort based on said probability parameter, level parameter and countermeasure parameter, thereby is generated an accident collection; And
Storing step is stored the accident collection of said generation.
5. accident collection processing method as claimed in claim 4 is characterized in that, said cluster step also comprises respectively carries out clustering processing based on k-average algorithm, k-central point algorithm and level agglomerative algorithm.
6. accident collection processing method as claimed in claim 4 is characterized in that, also comprises: in said cluster step, the accident that said accident is concentrated is divided into overall situation concern class, moderate concern class or common concern class.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN107818414A (en) * | 2017-10-30 | 2018-03-20 | 国网山东省电力公司潍坊供电公司 | A kind of generation method of the extensive contingency sets of AC-DC hybrid power grid N 2 |
CN112258946A (en) * | 2020-08-27 | 2021-01-22 | 国网浙江省电力有限公司培训中心 | Secondary comprehensive simulation training system for integrated intelligent substation |
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CN112258946A (en) * | 2020-08-27 | 2021-01-22 | 国网浙江省电力有限公司培训中心 | Secondary comprehensive simulation training system for integrated intelligent substation |
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Application publication date: 20120111 |