CN110084448A - A kind of analysis method of electric system, device and its equipment - Google Patents

A kind of analysis method of electric system, device and its equipment Download PDF

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CN110084448A
CN110084448A CN201810067602.7A CN201810067602A CN110084448A CN 110084448 A CN110084448 A CN 110084448A CN 201810067602 A CN201810067602 A CN 201810067602A CN 110084448 A CN110084448 A CN 110084448A
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power
layout
grid
grid nodes
project
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梁新乐
李锐
邱剑
黄振
吴云崇
杨熙亮
杨斌
闵万里
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Alibaba Group Holding Ltd
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Abstract

The application provides analysis method, device and its equipment of a kind of electric system, this method comprises: obtaining the first power project;The first grid nodes layout is obtained according to first power project;According to the label value of first grid nodes layout and the first grid nodes layout, the corresponding relationship of training power grid feature and characteristic value;Wherein, the corresponding relationship is used to analyze the state of electric system.By the technical solution of the application, quick Contingency Analysis of Power Systems can be carried out, supports power planning and scheduling.The time that safety analysis can be saved saves the computing resource of safety analysis.

Description

A kind of analysis method of electric system, device and its equipment
Technical field
This application involves power domain, especially a kind of analysis method of electric system, device and its equipment.
Background technique
In the power system, it usually needs static security analysis is carried out, to evaluate the safety and stabilization of electric system Property.N-1 safety criterion is the important means of static security analysis, and realization principle is: in N number of node of electric system, having and appoints When one node is disconnected because of failure, electric system being capable of stable operation and normal power supply.
In order to realize static security analysis using N-1 safety criterion, electricity can be successively disconnected in such a way that violence is enumerated Each node of Force system, and safety analysis is carried out to electric system, whole process needs take a substantial amount of time and calculate money Source.For example, when electric system is there are each node for when 3000 nodes, needing successively to disconnect in this 3000 nodes, and it is right Electric system carries out safety analysis, that is, needs at least 3000 analytic processes, takes a substantial amount of time and computing resource, such as may be used It can need to expend at least 70 minutes.
Summary of the invention
The application provides a kind of analysis method of electric system, which comprises
Obtain the first power project;
The first grid nodes layout is obtained according to first power project;
According to the label value of first grid nodes layout and the first grid nodes layout, training power grid feature and feature The corresponding relationship of value;Wherein, the corresponding relationship is used to analyze the state of electric system.
The application provides a kind of analysis method of electric system, which comprises
Obtain the second power project for needing to analyze state;
Third grid nodes layout is obtained according to second power project;
The power grid characteristic query corresponding relationship being laid out by the third grid nodes, obtains corresponding with the power grid feature Characteristic value;Wherein, the corresponding relationship is the corresponding relationship of the power grid feature and characteristic value according to the first power project training;
The state of the second power project according to obtained Eigenvalues analysis.
The application provides a kind of analysis method of electric system, which comprises
Obtain the third power project for needing to analyze state;
Inquiring in normal sample library whether there is and the matched normal electricity plan of the third power project;
If so, the state for analyzing the third power project is normal;
If it is not, the state for then analyzing the third power project is abnormal.
The application provides a kind of analytical equipment of electric system, and described device includes:
Module is obtained, for obtaining the first power project;The first grid nodes cloth is obtained according to first power project Office;
Training module, for the label value according to first grid nodes layout and the first grid nodes layout, training The corresponding relationship of power grid feature and characteristic value;The corresponding relationship is used to analyze the state of electric system.
The application provides a kind of analytical equipment of electric system, and described device includes:
Module is obtained, needs to analyze the second power project of state for obtaining;It is obtained according to second power project Third grid nodes layout;The power grid characteristic query corresponding relationship being laid out by the third grid nodes, obtains and the electricity The corresponding characteristic value of net feature;Wherein, the corresponding relationship is the power grid feature and characteristic value according to the first power project training Corresponding relationship;
Analysis module, the state for the second power project according to obtained Eigenvalues analysis.
The application provides a kind of analytical equipment of electric system, and described device includes:
Module is obtained, needs to analyze the third power project of state for obtaining;
Enquiry module whether there is and the matched normal electricity of third power project for inquiring in normal sample library Plan;
Analysis module, for when query result, which is, is, then it to be normal for analyzing the state of the third power project;When looking into When inquiry result is no, then it is abnormal for analyzing the state of the third power project.
The application provides a kind of power management apparatus, and the power management apparatus includes:
Processor, for obtaining the first power project;The first grid nodes layout is obtained according to first power project; According to the label value of first grid nodes layout and first grid nodes layout, training power grid feature and characteristic value Corresponding relationship;Wherein, the corresponding relationship is used to analyze the state of electric system.
The application provides a kind of power management apparatus, and the power management apparatus includes: processor, needs to divide for obtaining Second power project of analysis state;Third grid nodes layout is obtained according to second power project;Pass through the third electricity The power grid characteristic query corresponding relationship for netting node layout, obtains characteristic value corresponding with the power grid feature;Wherein, the correspondence Relationship is the corresponding relationship of the power grid feature and characteristic value according to the first power project training;According to obtained Eigenvalues analysis institute State the state of the second power project.
The application provides a kind of power management apparatus, and the power management apparatus includes:
Processor needs to analyze the third power project of state for obtaining;Inquire normal sample library in the presence or absence of with The matched normal electricity plan of third power project;If so, the state for analyzing the third power project is normal;If No, then it is abnormal for analyzing the state of the third power project.
Based on the above-mentioned technical proposal, in the embodiment of the present application, the corresponding relationship of power grid feature and characteristic value can be trained, And the state of electric system is analyzed according to the corresponding relationship, and Electric Power Network Planning, traffic control and inspection are instructed based on analysis result Power failure plan is repaired, quick Contingency Analysis of Power Systems can be carried out, supports power planning and scheduling.It does not need using sudden and violent The mode that power is enumerated successively disconnects each node of electric system, can save the time of safety analysis, save safety analysis Computing resource.Safety analysis can be carried out in a short time, operation power personnel is made quickly to make scheduling decision, avoided big Scale power failure.
Detailed description of the invention
It, below will be to the application in order to clearly illustrate the embodiment of the present application or technical solution in the prior art Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below Attached drawing is only some embodiments as described in this application, for those of ordinary skill in the art, can also be according to this Shen Please these attached drawings of embodiment obtain other attached drawings.
Figure 1A and Figure 1B is the application scenarios schematic diagram in a kind of embodiment of the application;
Fig. 2A is the flow chart of the analysis method of the electric system in a kind of embodiment of the application;
Fig. 2 B is a schematic diagram of the topological structure of electric in a kind of embodiment of the application;
Fig. 2 C is a schematic diagram of the first intermediate node layout in a kind of embodiment of the application;
Fig. 2 D is the flow chart of the analysis method of the electric system in a kind of embodiment of the application;
Fig. 2 E is the flow chart of the analysis method of the electric system in the application another embodiment;
Fig. 3 is the flow chart of the analysis method of the electric system in the application another embodiment;
Fig. 4 is the structure chart of the analytical equipment of the electric system in a kind of embodiment of the application;
Fig. 5 is the structure chart of the analytical equipment of the electric system in the application another embodiment;
Fig. 6 is the structure chart of the analytical equipment of the electric system in the application another embodiment.
Specific embodiment
In the term that the embodiment of the present application uses merely for the sake of for the purpose of describing particular embodiments, rather than limit this Shen Please.The "an" of singular used in the application and claims, " described " and "the" are also intended to including most shapes Formula, unless context clearly shows that other meanings.It is also understood that term "and/or" used herein refers to comprising one A or multiple associated any or all of project listed may combine.
It will be appreciated that though various letters may be described using term first, second, third, etc. in the embodiment of the present application Breath, but these information should not necessarily be limited by these terms.These terms are only used to for same type of information being distinguished from each other out.For example, In the case where not departing from the application range, the first information can also be referred to as the second information, and similarly, the second information can also be with The referred to as first information.Depending on context, in addition, used word " if " can be construed to " ... when " or " when ... " or " in response to determination ".
The embodiment of the present application proposes that a kind of analysis method of electric system, this method can be applied to power management apparatus, The power management apparatus is used to analyze the state (for example, safety) of electric system, such as carries out static security analysis.Wherein, electric Power management equipment can be PC (PersonalComputer, personal computer), laptop, mobile terminal, server etc., The type of this power management apparatus is not done and is limited in detail.
In one example, the corresponding relationship of power grid feature and characteristic value can be trained, machine learning network is such as passed through (such as CNN (Convolutional Neural Networks, convolutional neural networks), LSTM (Long Short-Term Memory, length remember recursive neural network) etc. neural networks) train the corresponding relationship of power grid feature and characteristic value.Then, The state of corresponding relationship analysis electric system can be used, to realize the state analysis of electric system, do not need using sudden and violent The mode that power is enumerated successively disconnects each node of electric system, can save the time of safety analysis, save safety analysis Computing resource.
In order to realize the state analysis of electric system, training stage and analysis phase can be related to, it, can in the training stage To train the corresponding relationship of power grid feature and characteristic value.In the analysis phase, corresponding to for being obtained based on the training stage is closed System, analyzes the state of electric system.Treatment process and analysis below in conjunction with specific application scenarios, to the training stage The treatment process in stage is illustrated.
Referring to shown in Figure 1A, process shown in dotted line is the treatment process of training stage, and process shown in solid is analysis The treatment process in stage.In order to distinguish conveniently, the power project of training stage is known as the first power project, by the training stage Grid nodes layout is known as the first grid nodes layout.In addition, the power project of analysis phase is known as the second power project, it will The grid nodes layout of analysis phase is known as third grid nodes layout.In practical applications, grid nodes layout may include But it is not limited to power grid thermodynamic chart.
Referring to shown in Figure 1A, in the training stage, available first power project obtains first according to the first power project Grid nodes layout, and give the layout output of the first grid nodes to machine learning network, by machine learning network according to the first electricity Net node layout trains the corresponding relationship of power grid feature and characteristic value.
In the analysis phase, available second power project obtains third grid nodes layout according to the second power project, And give the layout output of third grid nodes to machine learning network, it is laid out by the machine learning network according to the third grid nodes With the corresponding relationship, a characteristic value is obtained, and exports obtained characteristic value.
It is laid out in machine learning network according to grid nodes, when training the corresponding relationship of power grid feature and characteristic value, power grid The quantity of node layout determines the accuracy of training result, it is, therefore, possible to provide a large amount of grid nodes layouts.But in reality In the application of border, the first abnormal power project quantity may be fewer, causes the first abnormal grid nodes to be laid out quantity and compares It is few, and hence it is also possible to using process flow shown in Figure 1B.
As shown in Figure 1B, process shown in dotted line is the treatment process of training stage, and process shown in solid is analysis rank The treatment process of section.It is convenient to distinguish, the power project of training stage is known as the first power project, the first kilowatt meter will be based on It draws obtained grid nodes layout and is known as the first grid nodes layout, the grid nodes that will be laid out based on the first grid nodes Layout is known as the second grid nodes layout.The power project of analysis phase is known as the second power project, by the electricity of analysis phase Net node layout is known as third grid nodes layout.
It is available to the first power project in the training stage referring to shown in Figure 1B, the is obtained according to the first power project One grid nodes layout, and give the layout output of the first grid nodes to machine learning network.Further, it is also possible to by the first power grid section Generation confrontation network is given in the output of point layout, is laid out the second grid nodes cloth of generation according to the first grid nodes by generating confrontation network Office's (such as a large amount of second grid nodes layouts), and give the layout output of the second grid nodes to machine learning network.By above-mentioned place Reason, machine learning network can receive to the first grid nodes layout and the second grid nodes layout, and according to the received One grid nodes layout and the second grid nodes layout train the corresponding relationship of power grid feature and characteristic value.
In the analysis phase, available second power project obtains third grid nodes layout according to the second power project, And give the layout output of third grid nodes to machine learning network, it is laid out by the machine learning network according to the third grid nodes With the corresponding relationship, a characteristic value is obtained, and exports obtained characteristic value.
In one example, machine learning network can be used in the corresponding relationship of training power grid feature and characteristic value There are the machine learning algorithm (such as deep learning algorithm) or unsupervised machine learning algorithm of supervision, training power grid feature and spy The corresponding relationship of value indicative.Wherein, the machine learning algorithm of supervision refers to: in the training process, for the first power grid of input Node layout, the second grid nodes layout, having corresponding labeled data, (labeled data is for indicating the first grid nodes cloth Office, the second grid nodes layout are normal grid nodes layouts, or abnormal grid nodes are laid out, in the follow-up process, The labeled data is known as to the label value of grid nodes layout).Unsupervised machine learning algorithm refers to: in the training process, The first grid nodes layout, the second grid nodes layout for input, without corresponding labeled data.For the convenience of description, It is subsequent by taking the machine learning algorithm for having supervision as an example, illustrate the training process of machine learning network.
It is the flow chart of the analysis method of electric system referring to fig. 2 shown in A, Fig. 2A is the flow chart of training stage, and is schemed 2A is the flow chart based on application scenarios shown in Figure 1A, and this method may include:
Step 211, the first power project is obtained.
Step 212, the first grid nodes layout is obtained according to first power project.
Step 213, according to the label value of first grid nodes layout and the first grid nodes layout, training power grid feature With the corresponding relationship of characteristic value;Wherein, which is used to analyze the state of electric system.
In one example, above-mentioned execution sequence is intended merely to facilitate description to provide example, in practical applications, Sequence is executed between can also changing the step, with no restrictions to this execution sequence.Moreover, in other embodiments, and it is different The fixed sequence for showing and describing according to this specification is come the step of executing correlation method, step included by method can be than this It is more or less described in specification.In addition, single step described in this specification, it in other embodiments may quilt Multiple steps are decomposed into be described;Multiple steps described in this specification may also be merged into other embodiments Single step is described.
For step 211, in one example, power management apparatus can be with maintenance history database, the historical data base It is known as the first power project for storing power project, and by the power project stored in historical data base.Based on this, power pipe Reason equipment can get the first power project from the historical data base.
It in one example, can be by new power project when power management apparatus obtains new power project every time It stores in historical data base, in this way, the power project in historical data base is constantly updated, to adapt to the change of external environment Change.On this basis, power management apparatus can execute above-mentioned steps when the power project in historical data base is changed 211- step 213;Alternatively, above-mentioned steps 211- step 213 can also be periodically executed, such as every 24 hours according to predetermined period It executes once, with no restrictions to this process.
In one example, the label value of the first power project, the first power project can also be recorded in historical data base Label value can be first identifier (such as 1) or second identifier (such as 0).First identifier indicates that the first power project is normal electricity Power plan, second identifier indicate that the first power project is abnormal power project.
For example, including the first power project 1, the first power project 2, the first power project 3, the first electricity in historical data base The label value of power plan 1 and the first power project 2 is first identifier, and the label value of the first power project 3 is second identifier.In reality In the application of border, the first power project quantity in historical data base is far longer than 3, does not limit this first power project quantity System.
For step 212, in one example, the first grid nodes layout be can include but is not limited to: in electric system Each node power information.For obtaining the mode of the first grid nodes layout according to the first power project, do not limit herein System, as long as the first grid nodes layout may include the power information of each node in electric system.Below in conjunction with specific reality Mode is applied to be illustrated the process for obtaining the first grid nodes layout.
Specifically, may include but not for the process of " obtaining the first grid nodes layout according to the first power project " Be limited to such as under type: from topological structure of electric is obtained in first power project, in the topological structure of electric each node electric power Information;Wherein, which may include the topological structure of each node in electric system;According to the power network topology knot Power information generation the first grid nodes layout of structure, each node.
Further, for " according to the power information of the topological structure of electric, each node the first grid nodes cloth of generation The process of office " may include: to be generated in first according to the topological structure (i.e. the topological structure of electric) of node each in electric system Intermediate node layout;Wherein, it in order to distinguish conveniently, by the training stage, is laid out and is claimed based on the intermediate node that topological structure of electric generates For the first intermediate node layout.Then, the power information based on each node, it is corresponding in each node of first intermediate node layout Position, mark the corresponding colouring information of power information of the node, thus by the first intermediate node layout be converted to first electricity Net node layout.
Node can include but is not limited to: route, generating set, transformer, power unit etc., it is, of course, also possible to there is it The node of its type, it is without limitation.Power information can include but is not limited to: charge value, the electricity generated such as generating set Magnitude, the charge value of line transmission, the charge value etc. of power unit consumption.When counting the power information of node, section here Point can be individual node, be also possible to multiple node compositions.For example, there are multiple generating sets, this multiple hairs by power plant A Motor group corresponds to a node, and the sum of the charge value of this multiple generating sets generation is the charge value of the node, the i.e. node Power information.In another example there are multiple power units, the corresponding node of this multiple power unit, and this multiple use for vendor A The sum for the charge value that electric unit uses is the charge value of the node, i.e. the power information of the node.
Below in conjunction with the first power project 1, the above process is illustrated, for the first power project 2, the first kilowatt meter Other power projects such as 3 are drawn, similar with the processing of the first power project 1, details are not described herein.
Wherein, it can include but is not limited to topological structure of electric, each in the topological structure of electric in first power project 1 The power information of node.It is an example of the topological structure of electric in the first power project 1, in Fig. 2 B referring to fig. 2 shown in B Node can be for route, generating set, transformer, power unit etc..In addition, the first power project 1 can also include each section The power information (charge value of i.e. each node) of point.
Topological structure of electric may include 11 nodes, and generating set A is node 1, and generating set B is node 2, route 1- Route 6 is respectively node 3- node 8, and power unit C- power unit E is respectively node 9- node 11.If generating set A is generated Charge value be 1000, the charge value that generating set B is generated is 500, and the power information of node 1 is 1000, the electric power of node 2 letter Breath is 500.If the charge value that route 1- route 6 transmits is respectively 400,100,100,100,300,500, node 3- node 8 Power information be 400,100,100,100,300,500 respectively.If the charge value difference of power unit C- power unit E consumption Be 500,200,800, the power information of node 9- node 11 be 500,200,800 respectively.
Under above-mentioned application scenarios, topological structure of electric shown in Fig. 2 B can be parsed from the first power project 1, from The power information of the node 1- node 11 in topological structure of electric is parsed in first power project 1.By power grid shown in Fig. 2 B Topological structure is converted into the first intermediate node layout shown in fig. 2 C, no longer superfluous to the conversion process of this first intermediate node layout It states, as long as including each node in topological structure of electric in first intermediate node layout, is illustrated by taking Fig. 2 C as an example. In fig. 2 c, the region where generating set A is the corresponding position of node 1, i.e. position in 1 place frame of node;Generating set B The region at place is the corresponding position of node 2, i.e. position in 2 place frame of node;Region where route 1 is corresponding for node 3 Position, i.e. position in 3 place frame of node;And so on, other nodes are repeated no more.
Power information 1000 based on node 1, in the corresponding position of node 1 (i.e. 1 institute of node of the first intermediate node layout In frame) the mark corresponding colouring information of power information 1000.Power information 500 based on node 2 is laid out in the first intermediate node The corresponding position of node 2 mark the corresponding colouring information of power information 500.And so on, it is laid out to the first intermediate node The corresponding colouring information of 11 node label power informations after, so that it may obtain the first grid nodes layout, to this first electricity Net the structure of node layout with no restrictions.
Wherein, in order to mark the corresponding colouring information of power information, pair of power information and colouring information can also be configured It should be related to, in this way, after obtaining the power information of node, so that it may by inquiring the corresponding relationship, obtain the power information Corresponding colouring information, and mark the corresponding colouring information of power information.
For example, the pass corresponding with the corresponding relationship of color 1, power information 11-20 and color 2 configuration power information 1-10 System, and so on, when power information is bigger, then color is deeper.In practical applications, different colors can be different RGB (Red Green Blue, RGB) color, it is without limitation.
In one example, when configuring the corresponding relationship of power information and colouring information, it can also distinguish between cool colour and warm up Color, warm colour can be the colors such as red, orange, and cool colour can be the colors such as green, blue.Specifically, if node be generate charge value or The node of charge value is transmitted, then the corresponding colouring information of the power information of the node is warm colour, and when power information is bigger, is warmed up Color is deeper.If node is the node for consuming charge value, the corresponding colouring information of the power information of the node is cool colour, and when electricity When force information is bigger, cool colour is deeper.
In conclusion for the corresponding relationship of power information and colouring information, with no restrictions, as long as can based on power information To find corresponding colouring information, and the colouring information is marked in the corresponding position of node.
For step 213, in one example, after obtaining the first grid nodes layout, the first power grid can also be determined The label value of node layout, the label value are first identifier or second identifier, and first identifier indicates that the first grid nodes layout is Normal grid nodes layout, second identifier indicate that the first grid nodes layout is abnormal grid nodes layout.For example, can be with Get the label value of the first power project from historical data base, and the label value of first power project, that is, this The label value of the corresponding first grid nodes layout of one power project, which can be first identifier (such as 1) or second It identifies (such as 0).
Wherein, which indicates that first grid nodes layout is normal grid nodes layout, that is to say, that should First grid nodes layout is a normal node layout sample, i.e. normal sample;In addition, the second identifier indicate this first Grid nodes layout is abnormal grid nodes layout, that is to say, that first grid nodes layout is the node of an exception It is laid out sample, i.e. exceptional sample.
Obtain the first grid nodes layout and the first grid nodes layout label value after, so that it may according to this first The label value of grid nodes layout and first grid nodes layout, trains the corresponding relationship of power grid feature and characteristic value, and In the analysis phase, the state of electric system can be analyzed according to the corresponding relationship.
In one example, for " according to the label value of the first grid nodes layout and first grid nodes layout, instruction The process of the corresponding relationship of white silk power grid feature and characteristic value ", can include but is not limited to such as under type: can be by first power grid Machine learning network (such as CNN, LSTM nerve net is given in the label value of node layout and first grid nodes layout, output Network), it is laid out by the machine learning network according to first grid nodes and the label value of first grid nodes layout, training is electric The corresponding relationship of net feature and characteristic value.
Due to can store a large amount of first power projects in historical data base, it is available to arrive a large amount of first power grids The label value of node layout and these first grid nodes layout.It is then possible to a large amount of first grid nodes are laid out, with And the label value of these first grid nodes layout exports and gives machine learning network.Mass data based on input, machine learning Network can use machine learning algorithm (such as deep learning algorithm), train the corresponding relationship of power grid feature and characteristic value, This training process is repeated no more.Finally, the corresponding relationship of power grid feature and characteristic value can be output to machine learning network Classifier.
Wherein, power grid feature can be the characteristics of image of the first grid nodes layout, such as color characteristic, textural characteristics, shape Shape feature, spatial relation characteristics etc., with no restrictions to this power grid feature.
Wherein, characteristic value can be the probability value of normal electricity plan or the probability value of abnormal power plan.For example, If machine learning network is used to train the corresponding relationship of the probability value of power grid feature and normal electricity plan, characteristic value be can be The probability value of normal electricity plan, such as 95%, the 95% expression power project is that the probability value of normal electricity plan is 95%.If machine learning network is used to train the corresponding relationship of the probability value of power grid feature and abnormal power plan, characteristic value It can be the probability value of abnormal power plan, such as 95%, the 95% expression power project is the probability of abnormal power plan Value is 95%.
Machine learning network is laid out according to grid nodes, when training the corresponding relationship of power grid feature and characteristic value, power grid section Point layout quantity determines the accuracy of training result, therefore can provide a large amount of grid nodes layouts, such as a large amount of normal samples (normal grid nodes layout) and a large amount of exceptional samples (abnormal grid nodes layout).
In view of the first power project quantity is possible fewer (the first power project quantity as abnormal can be less), thus Cause the first grid nodes to be laid out small number, then it can also be using process flow shown in Fig. 2 D.Referring to fig. 2 shown in D, it is The flow chart of the analysis method of electric system, Fig. 2 B is the flow chart of training stage, and Fig. 2 D is based on applied field shown in Figure 1B The flow chart of scape, this method may include:
Step 221, the first power project is obtained.
Step 222, the first grid nodes layout is obtained according to first power project.
Step 223, first grid nodes layout is handled using generation confrontation network algorithm, obtains multiple second The label value of grid nodes layout, the second grid nodes layout is identical as the label value that the first grid nodes are laid out.
Step 224, according to the label value of the first grid nodes layout and the first grid nodes layout, the second grid nodes cloth The label value of office and the second grid nodes layout, the corresponding relationship of training power grid feature and characteristic value.
Wherein, in the analysis phase, the state of corresponding relationship analysis electric system can be used.
Wherein, step 221, step 222 are similar with step 211, step 212, and details are not described herein.
For step 223, if the label value of the first grid nodes layout is that first identifier (indicates normal grid nodes cloth Innings), then when being handled using generation confrontation network algorithm the first grid nodes layout, the second obtained grid nodes are laid out Label value be first identifier.If the label value of the first grid nodes layout is that second identifier (indicates abnormal grid nodes cloth Innings), then when being handled using generation confrontation network algorithm the first grid nodes layout, the second obtained grid nodes are laid out Label value be second identifier.
Specifically, choosing label from these first grid nodes layout after obtaining a large amount of first grid nodes layouts Value is laid out for the first grid nodes of first identifier, gives the first grid nodes layout output of selection to generation confrontation network.It is raw It is laid out at confrontation network based on these first grid nodes, obtains a large amount of second grid nodes cloth using confrontation network algorithm is generated Office, the label value of these second grid nodes layout are first identifier.In addition, after obtaining a large amount of first grid nodes layouts, It chooses the first grid nodes that label value is second identifier from these first grid nodes layout to be laid out, by the first electricity of selection Net node layout, which exports, fights network to generation.It generates confrontation network to be laid out based on these first grid nodes, using generation pair Anti- network algorithm obtains a large amount of second grid nodes layouts, and the label value of these second grid nodes layout is second identifier.
Wherein, generating confrontation network (GANs, Generative Adversarial Networks) is deep learning field Extremely innovative method, main thought is: by the study to existing sample, generating more new samples, new sample Originally the inherent attribute of original sample can be embodied, but original sample is effectively supplemented, new sample has the more of information Sample, so that the reliability of sample is higher, accuracy of identification is higher.
Wherein, generating confrontation network can consist of two parts, and first part is generator, for generating new sample, Second part is arbiter, generates new sample for going to differentiate.By way of generating and differentiating and fight, foot can lacked Under enough, to have supervision labeled data scenes, sufficiently excavate existing unlabeled data, find and distinguish it is possible normal or Anomalous variation, to obtain significantly more efficient electrical nature.
In conclusion the first grid nodes can be laid out to output to confrontation network is generated, so that generating confrontation network base It is laid out in the first grid nodes, generates more second grid nodes layouts (namely new sample), not to this generating process It is limited, these second grid nodes layout is that precision is higher, image quality better image.
In the above-described embodiments, the quantity being laid out for generating the second grid nodes that confrontation network generates, can basis Experience is configured, or is generated according to actual needs by generating confrontation network, without limitation.
For step 224, in one example, the mark of the first grid nodes layout and the first grid nodes layout is being obtained After the label value of label value, the second grid nodes layout and the second grid nodes layout, so that it may according to the first grid nodes cloth The label value of office and the first grid nodes layout, the label value of the second grid nodes layout and the second grid nodes layout, training The corresponding relationship of power grid feature and characteristic value out.It further, can be corresponding with characteristic value according to power grid feature in the analysis phase Relationship analyzes the state of electric system.
In one example, for " according to the first grid nodes layout and the first grid nodes layout label value, second Grid nodes layout and the second grid nodes layout label value, train the corresponding relationship of power grid feature and characteristic value " mistake Journey, may include: can be by the label value that first grid nodes are laid out and first grid nodes are laid out, the second power grid section Machine learning network (such as CNN, LSTM neural network) is given in the label value of point layout and second grid nodes layout, output, By the machine learning network according to the label value of first grid nodes layout and first grid nodes layout, second power grid The label value of node layout and second grid nodes layout, trains the corresponding relationship of power grid feature and characteristic value.
Getting a large amount of grid nodes layouts (such as the first grid nodes layout and the second grid nodes layout), these electricity After the label value for netting node layout, a large amount of grid nodes can be laid out, the label value of these grid nodes layout is exported to machine Device learning network.Mass data based on input, machine learning network can use machine learning algorithm (such as deep learning algorithm Deng), the corresponding relationship of power grid feature and characteristic value is trained, this training process is repeated no more.It finally, can be by power grid feature The classifier of machine learning network is output to the corresponding relationship of characteristic value.Wherein, power grid feature can be grid nodes layout Characteristics of image, such as color characteristic, textural characteristics, shape feature, spatial relation characteristics, with no restrictions to this power grid feature. In addition, characteristic value can be the probability value of normal electricity plan or the probability value of abnormal power plan.
For training stage (Fig. 2A and Fig. 2 D), can with the corresponding relationship of regular exercise power grid feature and characteristic value, thus The corresponding relationship of power grid feature and characteristic value is kept, there is higher reliability.
It is the flow chart of the analysis method of electric system referring to fig. 2 shown in E, Fig. 2 E is the flow chart of analysis phase, is fitted It may refer to shown in Figure 1A and Figure 1B with scene, this method may include:
Step 231, the second power project for needing to analyze state is obtained.
Step 232, third grid nodes layout is obtained according to second power project.
Step 233, the power grid characteristic query corresponding relationship being laid out by the third grid nodes, obtains and the power grid feature Corresponding characteristic value.Wherein, the corresponding relationship is corresponding with characteristic value according to the power grid feature of the first power project training Relationship.
Step 234, according to the state of obtained Eigenvalues analysis second power project.
For step 231, in one example, for the process of " the second power project that acquisition needs to analyze state ", It can include but is not limited to: obtaining power generation plan, electric power demand forecasting, topological structure of electric, and according to power generation meter It draws, electric power demand forecasting, topological structure of electric obtain the second power project.
Wherein, above-mentioned power generation plan can be the charge value of generating set generation, and power management apparatus can be from hair Power plant gets this power generation plan, with no restrictions to the acquisition modes of this power generation plan.
Wherein, above-mentioned electric power demand forecasting can be the charge value of the power unit consumption predicted, power management apparatus The charge value that power unit consumption can be predicted according to historical data, does not limit the acquisition modes of this electric power demand forecasting System.For example, if being based on historical data when knowing that the average charge value consumed daily of power unit is 500, then use can be predicted The charge value of electric unit consumption is 500;Alternatively, can then be predicted when the charge value consumed on the day before knowing power unit is 520 The charge value of power unit consumption is 520 out.
Wherein, above-mentioned topological structure of electric can be the topological structure of each node in electric system, and the node can be with Including but not limited to: route, generating set, transformer, power unit etc..Power management apparatus can be according to the position of generating set It sets, the position of transformer, the position of power unit, and, generating set, transformer, all routes between power unit etc., Topological structure of electric is generated, with no restrictions to the acquisition modes of this topological structure of electric.For example, power management apparatus can be generated Topological structure of electric shown in Fig. 2 B.
After obtaining power generation plan, electric power demand forecasting, topological structure of electric, so that it may according to the power generation meter It draws, the electric power demand forecasting, the topological structure of electric obtain the second power project.Wherein, second power project may include The power information of each node in above-mentioned topological structure of electric, topological structure of electric.
For the topological structure of electric shown in Fig. 2 B, it is based on power generation plan, if the charge value that generating set A is generated It is 1000, the charge value that generating set B is generated is 500, and the power information of the corresponding node 1 of generating set A is 1000, generator The power information of the corresponding node 2 of group B is 500.Based on electric power demand forecasting, disappear if predicting power unit C- power unit E The charge value of consumption is respectively 500,200,800, the power information point of the corresponding node 9- node 11 of power unit C- power unit E It is not 500,200,800.
Based on power generation plan and electric power demand forecasting, the charge value that route 1- route 6 transmits, such as route can be known The sum of 1 and the charge value of the transmission of route 2 are 500, and the sum of the charge value that route 3 and route 4 transmit is 200, route 5 and route 6 The sum of charge value of transmission is 800, and the sum of charge value that route 1- route 5 transmits is 1000, and the charge value that route 6 transmits is 500.In order to reach above-mentioned target, then the example of the charge value that route 1- route 6 transmits can for 400,100,100,100, 300,500, i.e. the power information of the corresponding node 3- node 8 of route 1- route 6 be 400 respectively, 100,100,100,300, 500。
Certainly, the above process has been merely given as " according to the power generation plan, the electric power demand forecasting, the power network topology One example of the second power project of structure acquisition ", with no restrictions to this acquisition modes.
For step 232, in one example, third grid nodes layout be can include but is not limited to: in electric system Each node power information.For obtaining the mode of third grid nodes layout according to the second power project, do not limit herein System, as long as third grid nodes layout may include the power information of each node in electric system.Below in conjunction with specific reality Mode is applied to be illustrated the process for obtaining third grid nodes layout.
Specifically, may include but not for the process of " obtaining third grid nodes layout according to the second power project " Be limited to such as under type: from topological structure of electric is obtained in second power project, in the topological structure of electric each node electric power Information;Wherein, which may include the topological structure of each node in electric system;According to the power network topology knot The power information generation third grid nodes layout of structure, each node.
Further, for " according to the power information of the topological structure of electric, each node generation third grid nodes cloth The process of office " may include: to be generated in second according to the topological structure (i.e. the topological structure of electric) of node each in electric system Intermediate node layout;Wherein, it in order to distinguish conveniently, by the analysis phase, is laid out and is claimed based on the intermediate node that topological structure of electric generates For the second intermediate node layout.Then, the power information based on each node, it is corresponding in each node of second intermediate node layout Position, mark the corresponding colouring information of power information of the node, thus by the second intermediate node layout be converted to third electricity Net node layout.
Wherein, the process for " third grid nodes layout being obtained according to the second power project ", and in step 212, " according to the The process of one power project the first grid nodes of acquisition layout " is similar, and details are not described herein.
The electricity of third grid nodes layout can also be determined after obtaining third grid nodes layout for step 233 Net feature, and by the above-mentioned corresponding relationship of power grid characteristic query (i.e. in the training stage, the power grid feature and feature that train The corresponding relationship of value), to obtain characteristic value corresponding with the power grid feature.
For " the power grid characteristic query corresponding relationship being laid out by third grid nodes obtains corresponding with the power grid feature Characteristic value " process, may include: by the third grid nodes layout output give machine learning network, by machine learning net Network determines that the third grid nodes are laid out corresponding power grid feature, and the correspondence generated by the power grid characteristic query training stage Relationship, to obtain characteristic value corresponding with the power grid feature.
Wherein, the power grid feature can be third grid nodes layout characteristics of image, as color characteristic, textural characteristics, Shape feature, spatial relation characteristics etc., with no restrictions to this power grid feature.In addition, features described above value can be normal electricity meter The probability value of the probability value or abnormal power plan drawn.
For step 234, in one example, for " according to the shape of obtained Eigenvalues analysis second power project The process of state " can include but is not limited to such as under type: if this feature value is the probability value of normal power project, work as this feature When value is greater than preset first threshold value, it is determined that the state of above-mentioned second power project is normal;Otherwise, it determines above-mentioned second electric power The state of plan is abnormal.Alternatively, if this feature value is the probability value of abnormal power plan, when this feature value is greater than default second When threshold value, it is determined that the state of above-mentioned second power project is abnormal;Otherwise, it determines the state of above-mentioned second power project is just Often.
Wherein, above-mentioned preset first threshold value can be configured rule of thumb, and above-mentioned default second threshold can be according to warp It tests and is configured, preset first threshold value and default second threshold may be the same or different.For example, preset first threshold value can Think 90%, 85% etc., default second threshold can be 90%, 95% etc..
In one example, after determining that the state of the second power project is normal, the second power project can also be deposited Store up historical data base, and record the label value of the second power project in historical data base, the label value be first identifier (such as 1) normal electricity plan, is indicated.After determining that the state of the second power project is exception, the second power project can also be stored To historical data base, and record in historical data base the label value of the second power project, the label value be second identifier (such as 0) abnormal power plan, is indicated.
In one example, after determining that the state of the second power project is exception, can also according to power generation plan, Electric power demand forecasting, topological structure of electric obtain the second new power project and execute above-mentioned step based on the second new power project Rapid 232- step 234 continues if being still abnormal power plan according to power generation plan, electric power demand forecasting, power network topology Structure obtains the second new power project, and so on.
In addition, exception information can also be notified to electrical management after determining that the state of the second power project is exception Personnel are adjusted power generation plan, electric power demand forecasting, topological structure of electric by electrical management personnel, to reach Instruct the purpose of Electric Power Network Planning, traffic control and maintenance power failure plan.
Based on the above-mentioned technical proposal, in the embodiment of the present application, the corresponding relationship of power grid feature and characteristic value can be trained, And the state of electric system is analyzed according to the corresponding relationship, and Electric Power Network Planning, traffic control and inspection are instructed based on analysis result Power failure plan is repaired, quick Contingency Analysis of Power Systems can be carried out, supports power planning and scheduling.It does not need using sudden and violent The mode that power is enumerated successively disconnects each node of electric system, can save the time of safety analysis, save safety analysis Computing resource.Safety analysis can be carried out in a short time, operation power personnel is made quickly to make scheduling decision, avoided big Scale power failure.
Based on similarly applying conceiving with the above method, the embodiment of the present application also proposes a kind of analysis side of electric system Method, this method can be applied to power management apparatus, which is used to analyze the state of electric system, such as carry out quiet State safety analysis.Wherein, which can be PC, laptop, mobile terminal, server etc., to this electric power The type of management equipment is not done to be limited in detail.
It is shown in Figure 3, it is the flow chart of the analysis method of electric system, this method may include:
Step 301, the third power project for needing to analyze state is obtained.
Step 302, inquiring in normal sample library whether there is and the matched normal electricity plan of the third power project.Such as Fruit is can then to execute step 303;If it is not, then step 304 can be executed.
Step 303, it is normal for analyzing the state of the third power project.
Step 304, it is abnormal for analyzing the state of the third power project.
For step 301, in one example, for the process of " the third power project that acquisition needs to analyze state ", It can include but is not limited to: obtaining power generation plan, electric power demand forecasting, topological structure of electric, and according to power generation meter It draws, electric power demand forecasting, topological structure of electric obtain third power project.
Wherein, the treatment process of step 301 and the treatment process of step 231 are similar, and it is convenient to be intended merely to distinguish, and will need The power project of analysis state is known as third power project, and it is no longer repeated herein.
For step 302, in one example, power management apparatus can safeguard normal sample library, the normal sample library For recording a large amount of normal electricity plan.Based on this, after obtaining third power project, can inquire in normal sample library is It is no to exist and the matched normal electricity plan of third power project.If so, i.e. normal sample inventory is in third power project, then Illustrate that third power project is normal electricity plan.If not, third power project is not present i.e. in normal sample library, then illustrate Third power project is abnormal power plan.
It can also include: to be obtained from historical data base to record a large amount of normal electricity plan in normal sample library It takes normal electricity plan (can be multiple normal electricity plans), and fights network algorithm to the normal electricity meter using generating It draws and is handled, obtain multiple new normal electricity plans;Then, by the normal electricity plan obtained from historical data base, The multiple normal electricity plans obtained using confrontation network algorithm is generated, store into normal sample library, so that normal sample library In record a large amount of normal electricity plan.
Wherein, power management apparatus can be used to store power project with maintenance history database, the historical data base, these Power project may include normal electricity plan and abnormal power plan.For example, each electric power can also be recorded in historical data base The label value of plan, the label value can be first identifier (such as 1) or second identifier (such as 0), and the first identifier is for indicating Power project is normal electricity plan, and the second identifier is for indicating that power project is abnormal power plan.Based on this, power pipe The normal electricity plan that reason equipment can get normal electricity plan from the historical data base, and will acquire is stored to just In normal sample database.
Power management apparatus can also fight network using generating after getting normal electricity plan in historical data base Algorithm handles normal electricity plan, obtains multiple new normal electricity plans, and by these new normal electricity plans Store normal sample library.For example, normal electricity plan can be exported to confrontation network is generated, generates confrontation network and be based on this A little normal electricity plans can obtain a large amount of new normal electricity plans using confrontation network algorithm is generated, and these are new Normal electricity plan is stored to normal sample library.
Wherein, the content for generating confrontation network has been introduced above, and details are not described herein.In short, by normal electricity After plan output is to confrontation network is generated, normal electricity plan can be based on by generating confrontation network, generate more normal electricities Plan (namely new sample), with no restrictions to this generating process.
In one example, after the state of analysis third power project is normal, third power project can also be deposited It stores up in normal sample library, and third power project storage is recorded into third electric power to historical data base in historical data base The label value of plan, i.e. first identifier (such as 1) indicate normal electricity plan.
It in one example, can also be according to power generation meter after the state of analysis third power project is exception Draw, electric power demand forecasting, topological structure of electric obtain new third power project, based on new third power project, hold again Row above-mentioned steps 302 continue if being still abnormal power plan according to power generation plan, electric power demand forecasting, power network topology Structure obtains new third power project, and so on.
In addition, exception information can also be notified to electrical management after determining that the state of third power project is exception Personnel are adjusted power generation plan, electric power demand forecasting, topological structure of electric by electrical management personnel, to reach Instruct the purpose of Electric Power Network Planning, traffic control and maintenance power failure plan.
It based on the above-mentioned technical proposal, can be based on the normal electricity plan in normal sample library point in the embodiment of the present application The state of electric system is analysed, the result based on safety analysis instructs Electric Power Network Planning, traffic control and maintenance power failure plan, Ke Yijin The quick Contingency Analysis of Power Systems of row, supports power planning and scheduling.Aforesaid way does not need to enumerate using violence Mode successively disconnects each node of electric system, can save the time of safety analysis, saves the computing resource of safety analysis. In emergency circumstances, safety analysis can be carried out in a short time, so that operation power personnel is quickly made scheduling decision, avoided Large-scale power failure.
Based on similarly applying conceiving with the above method, the embodiment of the present application also provides a kind of analysis dress of electric system It sets, can be applied to power management apparatus, as shown in figure 4, being the structure chart of described device.
Module 401 is obtained, for obtaining the first power project;The first grid nodes are obtained according to first power project Layout;Training module 402, for the label value according to first grid nodes layout and the first grid nodes layout, training The corresponding relationship of power grid feature and characteristic value;The corresponding relationship is used to analyze the state of electric system.
The acquisition module 401, specifically for obtaining the first grid nodes layout according to first power project In the process, from topological structure of electric is obtained in first power project, in the topological structure of electric each node electric power letter Breath;Wherein, the topological structure of electric includes the topological structure of each node in electric system;According to the topological structure of electric, The power information of each node generates the first grid nodes layout;
The training module 402 is specifically used for being laid out according to first grid nodes layout and the first grid nodes Label value, during the corresponding relationship of training power grid feature and characteristic value, using generating confrontation network algorithm to described the One grid nodes layout is handled, and multiple second grid nodes layouts, the label value of the second grid nodes layout are obtained It is identical as the label value of first grid nodes layout;According to first grid nodes layout, first grid nodes The label value of the label value of layout, the multiple second grid nodes layout, each second grid nodes layout, training power grid feature With the corresponding relationship of characteristic value.
The acquisition module 401 is also used to obtain the second power project for needing to analyze state;According to the second power project Obtain third grid nodes layout;Corresponding relationship described in the power grid characteristic query being laid out by the third grid nodes, obtains Characteristic value corresponding with the power grid feature of third grid nodes layout;
Described device further includes (not shown in FIG.):
Analysis module, the state for the second power project according to obtained Eigenvalues analysis.
Based on similarly applying conceiving with the above method, the embodiment of the present application also provides a kind of power management apparatus, described Power management apparatus may include processor;Wherein: the processor, for obtaining the first power project;According to described first Power project obtains the first grid nodes layout;It is laid out according to first grid nodes layout and first grid nodes Label value, the corresponding relationship of training power grid feature and characteristic value;Wherein, the corresponding relationship is used to analyze the shape of electric system State.
Based on similarly applying conceiving with the above method, the embodiment of the present application also provides a kind of machine readable storage medium, The machine readable storage medium can be applied to power management apparatus, and several meters are stored on the machine readable storage medium The instruction of calculation machine, the computer instruction, which is performed, to be handled as follows: obtaining the first power project;According to first electric power Plan obtains the first grid nodes layout;According to the label of first grid nodes layout and first grid nodes layout Value, the corresponding relationship of training power grid feature and characteristic value;Wherein, the corresponding relationship is used to analyze the state of electric system.
Based on similarly applying conceiving with the above method, the embodiment of the present application also provides a kind of analysis dress of electric system It sets, can be applied to power management apparatus, as shown in figure 5, being the structure chart of described device.
Module 501 is obtained, needs to analyze the second power project of state for obtaining;It is obtained according to second power project Third grid nodes are taken to be laid out;By the third grid nodes be laid out power grid characteristic query corresponding relationship, obtain with it is described The corresponding characteristic value of power grid feature;Wherein, the corresponding relationship is the power grid feature and feature according to the first power project training The corresponding relationship of value;
Analysis module 502, the state for the second power project according to obtained Eigenvalues analysis.
The acquisition module 501, specifically for obtaining third grid nodes layout according to second power project In the process, from topological structure of electric is obtained in the second power project, in the topological structure of electric each node power information;Its In, the topological structure of electric includes the topological structure of each node in electric system;According to the topological structure of electric, described each The power information of node generates third grid nodes layout;
The analysis module 502, if being the probability value of normal power project specifically for the characteristic value, when the feature When value is greater than preset first threshold value, it is determined that the state of second power project is normal;Alternatively, if the characteristic value is different The probability value of normal power project, when the characteristic value is greater than default second threshold, it is determined that the shape of second power project State is abnormal.
Based on similarly applying conceiving with the above method, the embodiment of the present application also provides a kind of power management apparatus, described Power management apparatus includes: processor, obtains the second power project for needing to analyze state;It is obtained according to second power project Third grid nodes are taken to be laid out;By the third grid nodes be laid out power grid characteristic query corresponding relationship, obtain with it is described The corresponding characteristic value of power grid feature;Wherein, the corresponding relationship is the power grid feature and feature according to the first power project training The corresponding relationship of value;The state of the second power project according to obtained Eigenvalues analysis.
Based on similarly applying conceiving with the above method, the embodiment of the present application also provides a kind of machine readable storage medium, It can be applied to power management apparatus, several computer instructions, the computer be stored on the machine readable storage medium Instruction, which is performed, to be handled as follows: obtaining the second power project for needing to analyze state;According to second power project Obtain third grid nodes layout;The power grid characteristic query corresponding relationship being laid out by the third grid nodes, obtains and institute State the corresponding characteristic value of power grid feature;Wherein, the corresponding relationship is the power grid feature according to the first power project training and spy The corresponding relationship of value indicative;The state of the second power project according to obtained Eigenvalues analysis.
Based on similarly applying conceiving with the above method, the embodiment of the present application also provides a kind of analysis dress of electric system It sets, can be applied to power management apparatus, as shown in fig. 6, being the structure chart of described device.
Module 601 is obtained, needs to analyze the third power project of state for obtaining;
Enquiry module 602, for inquiring in normal sample library with the presence or absence of matched normal with the third power project Power project;
Analysis module 603, for when query result, which is, is, then it to be normal for analyzing the state of the third power project; When query result is no, then it is abnormal for analyzing the state of the third power project.
Based on similarly applying conceiving with the above method, the embodiment of the present application also provides a kind of power management apparatus, described Power management apparatus may include processor;Wherein: the processor needs to analyze the third kilowatt meter of state for obtaining It draws;Inquiring in normal sample library whether there is and the matched normal electricity plan of the third power project;If so, analysis institute It is normal for stating the state of third power project;If it is not, the state for then analyzing the third power project is abnormal.
Based on similarly applying conceiving with the above method, the embodiment of the present application also provides a kind of machine readable storage medium, The machine readable storage medium can be applied to power management apparatus, and several meters are stored on the machine readable storage medium The instruction of calculation machine, the computer instruction, which is performed, to be handled as follows: obtaining the third power project for needing to analyze state;It looks into Asking in normal sample library whether there is and the matched normal electricity plan of the third power project;If so, analysis described the The state of three power projects is normal;If it is not, the state for then analyzing the third power project is abnormal.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity, Or it is realized by the product with certain function.A kind of typically to realize that equipment is computer, the concrete form of computer can To be personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play In device, navigation equipment, E-mail receiver/send equipment, game console, tablet computer, wearable device or these equipment The combination of any several equipment.
For convenience of description, it is divided into various units when description apparatus above with function to describe respectively.Certainly, implementing this The function of each unit can be realized in the same or multiple software and or hardware when application.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application Apply the form of example.Moreover, it wherein includes computer usable program code that the embodiment of the present application, which can be used in one or more, The computer implemented in computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) The form of program product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application Figure and/or block diagram describe.It is generally understood that being realized by computer program instructions each in flowchart and/or the block diagram The combination of process and/or box in process and/or box and flowchart and/or the block diagram.It can provide these computer journeys Sequence instruct to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices processor with A machine is generated, so that the instruction generation executed by computer or the processor of other programmable data processing devices is used for Realize the dress for the function of specifying in one or more flows of the flowchart and/or one or more blocks of the block diagram It sets.
Moreover, these computer program instructions also can store be able to guide computer or other programmable datas processing set In standby computer-readable memory operate in a specific manner, so that instruction stored in the computer readable memory generates Manufacture including command device, the command device are realized in one process of flow chart or multiple processes and/or block diagram one The function of being specified in a box or multiple boxes.
These computer program instructions can also be loaded into computer or other programmable data processing devices, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer Or the instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram The step of function of being specified in one box or multiple boxes.
The above description is only an example of the present application, is not intended to limit this application.For those skilled in the art For, various changes and changes are possible in this application.All any modifications made within the spirit and principles of the present application are equal Replacement, improvement etc., should be included within the scope of the claims of this application.

Claims (30)

1. a kind of analysis method of electric system, which is characterized in that the described method includes:
Obtain the first power project;
The first grid nodes layout is obtained according to first power project;
According to the label value of first grid nodes layout and the first grid nodes layout, training power grid feature and characteristic value Corresponding relationship;Wherein, the corresponding relationship is used to analyze the state of electric system.
2. the method according to claim 1, wherein
The first grid nodes layout includes the power information of each node in electric system;The label value be first identifier or Second identifier;The first identifier indicates that the first grid nodes layout is normal grid nodes layout, the second identifier table Show that the first grid nodes layout is abnormal grid nodes layout.
3. the method according to claim 1, wherein
The process that the first grid nodes layout is obtained according to first power project, specifically includes:
From topological structure of electric is obtained in the first power project, in the topological structure of electric each node power information;Wherein, The topological structure of electric includes the topological structure of each node in electric system;
The first grid nodes layout is generated according to the power information of the topological structure of electric, each node.
4. according to the method described in claim 3, it is characterized in that, described according to the topological structure of electric, each node Power information generate the first grid nodes layout process, specifically include:
The first intermediate node layout is generated according to the topological structure of node each in the electric system;
Based on the power information of each node, in the corresponding position of each node of first intermediate node layout, mark should The corresponding colouring information of the power information of node obtains the first grid nodes layout.
5. the method according to claim 1, wherein according to first grid nodes layout and the first power grid section The label value of point layout, the corresponding relationship of training power grid feature and characteristic value, comprising:
First grid nodes layout is handled using confrontation network algorithm is generated, obtains multiple second grid nodes cloth The label value of office, the second grid nodes layout is identical as the label value that first grid nodes are laid out;
According to the first grid nodes layout, the label value of the first grid nodes layout, multiple second grid nodes layout, each second The label value of grid nodes layout, the corresponding relationship of training power grid feature and characteristic value.
6. method according to claim 1 or 5, which is characterized in that according to first grid nodes layout and the first electricity Net the label value of node layout, the corresponding relationship of training power grid feature and characteristic value, comprising:
First grid nodes layout and the label value are exported and give machine learning network, by machine learning network according to the One grid nodes layout and label value, the corresponding relationship of training power grid feature and characteristic value.
7. the method according to claim 1, wherein
The label value according to first grid nodes layout and the first grid nodes layout, training power grid feature and feature After the corresponding relationship of value, the method also includes:
Obtain the second power project for needing to analyze state;
Third grid nodes layout is obtained according to second power project;
Corresponding relationship described in the power grid characteristic query being laid out by the third grid nodes, obtains and the third grid nodes The corresponding characteristic value of power grid feature of layout;
The state of the second power project according to obtained Eigenvalues analysis.
8. the method according to the description of claim 7 is characterized in that
It is described to obtain the process for needing to analyze the second power project of state, it specifically includes:
Power generation plan, electric power demand forecasting, topological structure of electric are obtained, and according to the power generation plan, the electricity Power requirement forecasting, the topological structure of electric obtain the second power project.
9. the method according to the description of claim 7 is characterized in that
The process that third grid nodes layout is obtained according to second power project, specifically includes:
From topological structure of electric is obtained in the second power project, in the topological structure of electric each node power information;Wherein, The topological structure of electric includes the topological structure of each node in electric system;
Third grid nodes layout is generated according to the power information of the topological structure of electric, each node.
10. according to the method described in claim 9, it is characterized in that, described according to the topological structure of electric, each node Power information generate third grid nodes layout process, specifically include:
The second intermediate node layout is generated according to the topological structure of node each in the electric system;
Based on the power information of each node, in the corresponding position of each node of second intermediate node layout, mark should The corresponding colouring information of the power information of node obtains the third grid nodes layout.
11. the method according to the description of claim 7 is characterized in that
Corresponding relationship described in the power grid characteristic query being laid out by the third grid nodes, obtains and the third power grid The process of the corresponding characteristic value of power grid feature of node layout, specifically includes:
It gives third grid nodes layout output to machine learning network, the third electricity is determined by the machine learning network The corresponding power grid feature of node layout is netted, and by corresponding relationship described in the power grid characteristic query, obtained special with the power grid Levy corresponding characteristic value.
12. the method according to the description of claim 7 is characterized in that
The characteristic value is specially the probability value of normal electricity plan or the probability value of abnormal power plan;
The process of the state of second power project according to obtained Eigenvalues analysis, specifically includes:
If the characteristic value is the probability value of normal power project, when the characteristic value is greater than preset first threshold value, it is determined that The state of second power project is normal;Alternatively,
If the characteristic value is the probability value of abnormal power plan, when the characteristic value is greater than default second threshold, it is determined that The state of second power project is abnormal.
13. a kind of analysis method of electric system, which is characterized in that the described method includes:
Obtain the second power project for needing to analyze state;
Third grid nodes layout is obtained according to second power project;
The power grid characteristic query corresponding relationship being laid out by the third grid nodes, obtains spy corresponding with the power grid feature Value indicative;Wherein, the corresponding relationship is the corresponding relationship of the power grid feature and characteristic value according to the first power project training;
The state of the second power project according to obtained Eigenvalues analysis.
14. according to the method for claim 13, which is characterized in that
It is described to obtain the process for needing to analyze the second power project of state, it specifically includes:
Power generation plan, electric power demand forecasting, topological structure of electric are obtained, and according to the power generation plan, the electricity Power requirement forecasting, the topological structure of electric obtain the second power project.
15. according to the method for claim 13, which is characterized in that
The process that third grid nodes layout is obtained according to second power project, specifically includes:
From topological structure of electric is obtained in the second power project, in the topological structure of electric each node power information;Wherein, The topological structure of electric includes the topological structure of each node in electric system;
Third grid nodes layout is generated according to the power information of the topological structure of electric, each node.
16. according to the method for claim 15, which is characterized in that described according to the topological structure of electric, each section The power information of point generates the process of third grid nodes layout, specifically includes:
The second intermediate node layout is generated according to the topological structure of node each in the electric system;
Based on the power information of each node, in the corresponding position of each node of second intermediate node layout, mark should The corresponding colouring information of the power information of node obtains the third grid nodes layout.
17. according to the method for claim 13, which is characterized in that
The power grid characteristic query corresponding relationship being laid out by the third grid nodes, obtains corresponding with the power grid feature Characteristic value process, specifically include:
It gives third grid nodes layout output to machine learning network, the third electricity is determined by the machine learning network The corresponding power grid feature of node layout is netted, and by corresponding relationship described in the power grid characteristic query, obtained special with the power grid Levy corresponding characteristic value.
18. according to the method for claim 13, which is characterized in that
The characteristic value is specially the probability value of normal electricity plan or the probability value of abnormal power plan;
The process of the state of second power project according to obtained Eigenvalues analysis, specifically includes:
If the characteristic value is the probability value of normal power project, when the characteristic value is greater than preset first threshold value, it is determined that The state of second power project is normal;Alternatively,
If the characteristic value is the probability value of abnormal power plan, when the characteristic value is greater than default second threshold, it is determined that The state of second power project is abnormal.
19. a kind of analysis method of electric system, which is characterized in that the described method includes:
Obtain the third power project for needing to analyze state;
Inquiring in normal sample library whether there is and the matched normal electricity plan of the third power project;
If so, the state for analyzing the third power project is normal;
If it is not, the state for then analyzing the third power project is abnormal.
20. according to the method for claim 19, which is characterized in that
It is described to obtain the process for needing to analyze the third power project of state, it specifically includes:
Power generation plan, electric power demand forecasting, topological structure of electric are obtained, and according to the power generation plan, the electricity Power requirement forecasting, the topological structure of electric obtain third power project.
21. according to the method for claim 19, which is characterized in that in the inquiry normal sample library whether there is with it is described Before the matched normal electricity plan of third power project, the method also includes:
Normal electricity plan is obtained, and the normal electricity plan is handled using confrontation network algorithm is generated, is obtained more A new normal electricity plan;
Institute is arrived in the normal electricity plan that will acquire, the multiple normal electricity plans obtained using generation confrontation network algorithm, storage It states in normal sample library.
22. a kind of analytical equipment of electric system, which is characterized in that described device includes:
Module is obtained, for obtaining the first power project;The first grid nodes layout is obtained according to first power project;
Training module, for the label value according to first grid nodes layout and the first grid nodes layout, training power grid The corresponding relationship of feature and characteristic value;The corresponding relationship is used to analyze the state of electric system.
23. device according to claim 22, which is characterized in that
The acquisition module is specifically used for during obtaining the first grid nodes layout according to first power project, From topological structure of electric is obtained in first power project, in the topological structure of electric each node power information;Wherein, The topological structure of electric includes the topological structure of each node in electric system;According to the topological structure of electric, each section The power information of point generates the first grid nodes layout;
The training module, specifically in the label according to first grid nodes layout and the first grid nodes layout During the corresponding relationship of value, training power grid feature and characteristic value, network algorithm is fought to first power grid using generating Node layout is handled, and obtains multiple second grid nodes layout, the label value of the second grid nodes layout with it is described The label value of first grid nodes layout is identical;It is laid out according to first grid nodes layout, first grid nodes The label value of label value, the multiple second grid nodes layout, each second grid nodes layout, training power grid feature and feature The corresponding relationship of value.
24. device according to claim 22, which is characterized in that
The acquisition module is also used to obtain the second power project for needing to analyze state;The is obtained according to the second power project Three grid nodes layout;By the third grid nodes be laid out power grid characteristic query described in corresponding relationship, obtain with it is described The corresponding characteristic value of power grid feature of third grid nodes layout;
Described device further include:
Analysis module, the state for the second power project according to obtained Eigenvalues analysis.
25. a kind of analytical equipment of electric system, which is characterized in that described device includes:
Module is obtained, needs to analyze the second power project of state for obtaining;Third is obtained according to second power project Grid nodes layout;The power grid characteristic query corresponding relationship being laid out by the third grid nodes obtains special with the power grid Levy corresponding characteristic value;Wherein, the corresponding relationship is pair of the power grid feature and characteristic value according to the first power project training It should be related to;
Analysis module, the state for the second power project according to obtained Eigenvalues analysis.
26. device according to claim 25, which is characterized in that
The acquisition module is specifically used for during obtaining third grid nodes layout according to second power project, From topological structure of electric is obtained in the second power project, in the topological structure of electric each node power information;Wherein, described Topological structure of electric includes the topological structure of each node in electric system;According to the topological structure of electric, each node Power information generates third grid nodes layout;
The analysis module, if being the probability value of normal power project specifically for the characteristic value, when the characteristic value is greater than When preset first threshold value, it is determined that the state of second power project is normal;Alternatively, if the characteristic value is abnormal power The probability value of plan, when the characteristic value is greater than default second threshold, it is determined that the state of second power project is different Often.
27. a kind of analytical equipment of electric system, which is characterized in that described device includes:
Module is obtained, needs to analyze the third power project of state for obtaining;
Enquiry module whether there is based on the matched normal electricity of third power project by inquiring in normal sample library It draws;
Analysis module, for when query result, which is, is, then it to be normal for analyzing the state of the third power project;When inquiry is tied When fruit is no, then it is abnormal for analyzing the state of the third power project.
28. a kind of power management apparatus, which is characterized in that the power management apparatus includes:
Processor, for obtaining the first power project;The first grid nodes layout is obtained according to first power project;According to The label value of the first grid nodes layout and first grid nodes layout, training power grid feature are corresponding with characteristic value Relationship;Wherein, the corresponding relationship is used to analyze the state of electric system.
29. a kind of power management apparatus, which is characterized in that the power management apparatus includes: processor, needs to divide for obtaining Second power project of analysis state;Third grid nodes layout is obtained according to second power project;Pass through the third electricity The power grid characteristic query corresponding relationship for netting node layout, obtains characteristic value corresponding with the power grid feature;Wherein, the correspondence Relationship is the corresponding relationship of the power grid feature and characteristic value according to the first power project training;According to obtained Eigenvalues analysis institute State the state of the second power project.
30. a kind of power management apparatus, which is characterized in that the power management apparatus includes:
Processor needs to analyze the third power project of state for obtaining;Inquire normal sample library in the presence or absence of with it is described The matched normal electricity plan of third power project;If so, the state for analyzing the third power project is normal;If it is not, It is abnormal for then analyzing the state of the third power project.
CN201810067602.7A 2018-01-24 2018-01-24 A kind of analysis method of electric system, device and its equipment Pending CN110084448A (en)

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