CN105701594A - Visual interactive system used for safe and stable characteristic and mechanism analysis of large power grid - Google Patents
Visual interactive system used for safe and stable characteristic and mechanism analysis of large power grid Download PDFInfo
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- CN105701594A CN105701594A CN201510958503.4A CN201510958503A CN105701594A CN 105701594 A CN105701594 A CN 105701594A CN 201510958503 A CN201510958503 A CN 201510958503A CN 105701594 A CN105701594 A CN 105701594A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention relates to safe and stable characteristic and mechanism analysis of a large power grid, and achievements of the invention can be applied to the application fields of power grid security simulation, post personnel training and the like. The system includes the following modules: a large power grid security data preprocessing module, a data mining module based on safe and stable characteristics and mechanisms of the large power grid, an explanation and assessment module, a body-based knowledge representation module, a visualization module of large power grid safe and stable analysis data, information and knowledge and a system man-machine interaction module. The system has the beneficial effects that through mining and explanation and assessment of enormous data for safety and stability analysis of the large power grid, promotion of data, information and knowledge is gradually realized, and a reasonable visualization method is adopted to perform multi-angle deep display of safe and stable characteristics and mechanisms of the large power grid from three different levels, thereby increasing analysts' understanding of content.
Description
Technical field
The present invention relates to bulk power grid safety and stability characteristic and Analysis on Mechanism, invention achievement can apply to the applications such as power grid security emulation, post staff training。
Background technology
Along with the construction of extra-high voltage interconnected network, extra-high voltage alternating current-direct current electrical network makes China's electrical network electrical link day by day tight, state divide province to adjust administration electrical network scale is day by day huge, complexity improves, the safety that bulk power grid runs more seems important。At present, province of state point scheduling institution has set up on-line security and stability analysis post, but existing DTS cannot provide for on-line security and stability analysis ability training and support。
Summary of the invention
It is an object of the invention to, propose the implementation strategy of a kind of bulk power grid safety and stability characteristic visualization system being suitable for security and stability analysis person's training, this security and stability analysis Visual Interactive system, it is possible to be used for realizing security and stability analysis of large power grid person's emulation training function。
Technical scheme is as follows:
A kind of Visual Interactive system suitable in bulk power grid safety and stability characteristic and Analysis on Mechanism, including with lower module: bulk power grid secure data pretreatment module, based on bulk power grid safety and stability characteristic and mechanism data-mining module, explain evaluation module, based on the visualization model of the representation of knowledge module of body, security and stability analysis of large power grid data, information and knowledge and system human-computer interaction module, it is characterised in that:
The data of the described bulk power grid secure data pretreatment module security and stability analysis subsystem to coming from D5000 carry out pretreatment, including screening and the purification of data；
The described data-mining module based on bulk power grid safety and stability characteristic and mechanism adopts the algorithm of K-Means to realize the data mining to security and stability analysis result；
The described explanation evaluation module information to obtaining through data mining distils further and obtains knowledge；
The described representation of knowledge module based on body is the process that machine is accessible, have the coding of semanteme the knowledge transformation in bulk power grid safety and stability field, realizes for the bulk power grid safety and stability representation of knowledge based on OWL Ontology Language；Knowledge obtained above is stored in knowledge base simultaneously, the knowledge in knowledge base is updated；
The visualization model of described information and knowledge realizes the data of security and stability analysis of large power grid, information and knowledge carry out visualization display；
Described system human-computer interaction module utilizes touch replicating machine to realize the man-machine interaction of security and stability analysis person and system, deepens analyst's understanding to system for content further。
Further, described bulk power grid secure data pretreatment module is specific as follows:
Owing within a period of time, the every state parameter of electrical network has feature like relative proximity, utilize this characteristic to try to achieve the sample day curve and the variance of respective points of load, and utilize the difference of actual load and sample load to judge that whether this point load is for bad data；So, after data prediction, just not only can reject the bad data in original data, and play the effect simplifying data, namely primary data selected and purify。
Further, the described data-mining module concrete operations based on bulk power grid safety and stability characteristic and mechanism are as follows:
(1) the number k of input bunch and comprise the data base of security and stability analysis result of n object；
(2) from n security and stability analysis result data object, k the main object center as initial cluster is chosen；
(3) calculate the meansigma methods of each bunch, and represent corresponding bunch by this meansigma methods；
(4) calculate the distance of each object and these objects, and again corresponding object is divided according to minimum range；
(5) checking whether criterion function has significant change, if change substantially performs step 6, otherwise return value step 2, until meeting requirement；
(6) output k bunch so that square error criterion is minimum。
Further, the described representation of knowledge module concrete operations based on body are as follows:
(1) determine the knowledge kind that bulk power grid safety and stability field relates to, understand knowledge feature；
(2) definition is to the relation between class and class, builds ontology model:
The knowledge of the first step is mainly analyzed abstract by this step, and then builds ontology model；
(3) OWL is used to carry out the intelligent grid representation of knowledge:
Under following OWL grammatical rules, OWL Ontology Language is adopted to realize the expression of relevant knowledge；
(4) OWL knowledge document；
(5) safety and stability ontologies。
Further, the visualization of the visualization model of described information and knowledge includes video cartoon, three dimensional virtual models, curve, chart etc.。
The beneficial effects of the present invention is: the present invention is by being undertaken excavating and explaining assessment by the huge data of security and stability analysis of large power grid, progressively realize data, the lifting of information and knowledge, and take rational visual means to carry out multi-angle, profound displaying from three different levels characteristic to bulk power grid safety and stability and mechanism, thus increasing analyst's understanding to content。It addition, for the learning effect increasing analyst, the present invention is provided with Man Machine Interface and facilitates analyst and this system to interact。Therefore, the present invention proposes bulk power grid safety and stability characteristic and the Visual Interactive system of Analysis on Mechanism have very big social and economy。
Accompanying drawing explanation
Fig. 1 be technical solution of the present invention be embodied as flow chart。
Fig. 2 is K-Means algorithm flow chart。
Fig. 3 represents process schematic based on the electrical network domain knowledge of OWL。
Detailed description of the invention
The present invention is a set of Visual Interactive system suitable in bulk power grid safety and stability characteristic and Analysis on Mechanism, realizing mechanism and the characteristic of bulk power grid safety and stability are carried out emulation multi-faceted, overall process, whole scene, the achievement of this invention may be used for multiple uses such as security and stability analysis of large power grid staff training。
For reaching above-mentioned purpose, the Visual Interactive system of bulk power grid safety and stability characteristic provided by the invention and Analysis on Mechanism includes following module: bulk power grid secure data pretreatment module, based on bulk power grid safety and stability characteristic and mechanism data-mining module, explain evaluation module, man-machine interaction based on the representation of knowledge module of body, security and stability analysis of large power grid data, information and the visualization model of knowledge, system。
The enforcement step of this invention is as follows:
1, the pretreatment of bulk power grid secure data
Data for bulk power grid safety and stability characteristic and Analysis on Mechanism come from the security and stability analysis subsystem in D5000, and this subsystem includes security analysis result, stability Calculation result and decision-making assistant information and stability assessment content。Data volume is huge, for improving the work efficiency of this task, it is necessary to first data are carried out pretreatment, reaches the purpose of data screening and purification。
Owing within a period of time, the every state parameter of electrical network has feature like relative proximity, this characteristic can be utilized to try to achieve the sample day curve and the variance of respective points of load, and utilize the difference of actual load and sample load to judge that whether this point load is for bad data。
2, based on the data mining of bulk power grid safety and stability characteristic and mechanism
The present invention adopts the algorithm of K-Means to realize data mining to security and stability analysis result, and the method is a kind of based on the clustering method divided, and is used for according to similar between sample attribute, sample being grouped。
The basic thought that algorithm realizes is: the data set after security and stability analysis of large power grid is divided into k bunch, and the sample of each bunch of inside is similar, but the sample of different bunches exists a great difference。This algorithm is the thinking of a kind of continuous iteration, and after individual bunch of initial k is defined at random, these bunches will be thus continually updated, and optimised in the updating, and when cannot further optimize, algorithm stops, and then generates model。Implement step as shown in Figure 2。
3, assessment is explained
Although the information itself obtained through data mining has certain value, but the directive significance of security and stability analysis person is not as big by it, only information being distilled further and just can demonstrate its bigger value after obtaining knowledge, this process is realized by assessment that security and stability analysis of large power grid gained information is made an explanation。
4, based on the representation of knowledge of body
The representation of knowledge of bulk power grid safety and stability is exactly the knowledge transformation in bulk power grid safety and stability field is that machine is accessible, has the process of the coding of semanteme, realizes realizing process as shown in Figure 3 for the bulk power grid safety and stability representation of knowledge based on OWL Ontology Language。The knowledge that 3rd step obtains is stored in knowledge base simultaneously, the knowledge in knowledge base is updated。
5, the Visual Implementation of security and stability analysis of large power grid data, information and knowledge
Finally in conjunction with rational visual means, the data of security and stability analysis of large power grid, information and knowledge are carried out visualization display。Visual means has a lot, and common means have video cartoon, three dimensional virtual models, curve, chart etc.。During visualization display, for the more vivid mechanism showing bulk power grid safety and stability, sharpen understanding effect, it is necessary to the thinking adopting content to combine with form, chooses rational visualization means。
6, the man-machine interaction of system
Exploitation Man Machine Interface, thus utilizing touch replicating machine to realize the human-computer interaction function of security and stability analysis person and system, can deepen analyst's understanding to system for content further by this function。
Claims (5)
1. the Visual Interactive system being applicable to bulk power grid safety and stability characteristic and Analysis on Mechanism, including with lower module: bulk power grid secure data pretreatment module, based on bulk power grid safety and stability characteristic and mechanism data-mining module, explain evaluation module, based on the visualization model of the representation of knowledge module of body, security and stability analysis of large power grid data, information and knowledge and system human-computer interaction module, it is characterised in that:
The data of the described bulk power grid secure data pretreatment module security and stability analysis subsystem to coming from D5000 carry out pretreatment, including screening and the purification of data；
The described data-mining module based on bulk power grid safety and stability characteristic and mechanism adopts the algorithm of K-Means to realize the data mining to security and stability analysis result；
The described explanation evaluation module information to obtaining through data mining distils further and obtains knowledge；
The described representation of knowledge module based on body is the process that machine is accessible, have the coding of semanteme the knowledge transformation in bulk power grid safety and stability field, realizes for the bulk power grid safety and stability representation of knowledge based on OWL Ontology Language；Knowledge obtained above is stored in knowledge base simultaneously, the knowledge in knowledge base is updated；
The visualization model of described information and knowledge realizes the data of security and stability analysis of large power grid, information and knowledge carry out visualization display；
Described system human-computer interaction module utilizes touch replicating machine to realize the man-machine interaction of security and stability analysis person and system, deepens analyst's understanding to system for content further。
2. the Visual Interactive system suitable in bulk power grid safety and stability characteristic and Analysis on Mechanism according to claim 1, it is characterised in that:
Described bulk power grid secure data pretreatment module is specific as follows:
Owing within a period of time, the every state parameter of electrical network has feature like relative proximity, utilize this characteristic to try to achieve the sample day curve and the variance of respective points of load, and utilize the difference of actual load and sample load to judge that whether this point load is for bad data；So, after data prediction, just not only can reject the bad data in original data, and play the effect simplifying data, namely primary data selected and purify。
3. the Visual Interactive system suitable in bulk power grid safety and stability characteristic and Analysis on Mechanism according to claim 1, it is characterised in that: the described data-mining module concrete operations based on bulk power grid safety and stability characteristic and mechanism are as follows:
(1) the number k of input bunch and comprise the data base of security and stability analysis result of n object；
(2) from n security and stability analysis result data object, k the main object center as initial cluster is chosen；
(3) calculate the meansigma methods of each bunch, and represent corresponding bunch by this meansigma methods；
(4) calculate the distance of each object and these objects, and again corresponding object is divided according to minimum range；
(5) checking whether criterion function has significant change, if change substantially performs step 6, otherwise return value step 2, until meeting requirement；
(6) output k bunch so that square error criterion is minimum。
4. the Visual Interactive system suitable in bulk power grid safety and stability characteristic and Analysis on Mechanism according to claim 1, it is characterised in that: the described representation of knowledge module concrete operations based on body are as follows:
(1) determine the knowledge kind that bulk power grid safety and stability field relates to, understand knowledge feature；
(2) definition is to the relation between class and class, builds ontology model:
The knowledge of the first step is mainly analyzed abstract by this step, and then builds ontology model；
(3) OWL is used to carry out the intelligent grid representation of knowledge:
Under following OWL grammatical rules, OWL Ontology Language is adopted to realize the expression of relevant knowledge；
(4) OWL knowledge document；
(5) safety and stability ontologies。
5. the Visual Interactive system suitable in bulk power grid safety and stability characteristic and Analysis on Mechanism according to claim 1, it is characterised in that:
The visualization of the visualization model of described information and knowledge includes video cartoon, three dimensional virtual models, curve, chart etc.。
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106356994A (en) * | 2016-08-29 | 2017-01-25 | 上海交通大学 | Grid stability judging method based on grid PMU big data |
| CN107220758A (en) * | 2017-05-22 | 2017-09-29 | 国家电网公司 | A kind of Electric Power Network Planning accessory system |
| CN109271368A (en) * | 2018-10-19 | 2019-01-25 | 长沙科锐消防工程技术有限公司 | A kind of Database Systems and maintaining method of fire Safety Assessment system |
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| CN104199971A (en) * | 2014-09-23 | 2014-12-10 | 朱凯锋 | Standard knowledge framework based visual information analysis method and system |
| CN104680260A (en) * | 2015-03-17 | 2015-06-03 | 云南电力调度控制中心 | Method and system for establishing power grid visualized perceptual model |
| CN204883710U (en) * | 2015-01-19 | 2015-12-16 | 云南电力调度控制中心 | Power system fault diagnoses intelligent system based on rule |
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| CN102945517A (en) * | 2012-10-19 | 2013-02-27 | 利诚服装集团股份有限公司 | Method for mining data of clothing standard working hours on basis of clustering analysis |
| CN104199971A (en) * | 2014-09-23 | 2014-12-10 | 朱凯锋 | Standard knowledge framework based visual information analysis method and system |
| CN204883710U (en) * | 2015-01-19 | 2015-12-16 | 云南电力调度控制中心 | Power system fault diagnoses intelligent system based on rule |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106356994A (en) * | 2016-08-29 | 2017-01-25 | 上海交通大学 | Grid stability judging method based on grid PMU big data |
| CN106356994B (en) * | 2016-08-29 | 2018-09-11 | 上海交通大学 | A kind of grid stability method of discrimination based on power grid PMU big datas |
| CN107220758A (en) * | 2017-05-22 | 2017-09-29 | 国家电网公司 | A kind of Electric Power Network Planning accessory system |
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| CN109271368A (en) * | 2018-10-19 | 2019-01-25 | 长沙科锐消防工程技术有限公司 | A kind of Database Systems and maintaining method of fire Safety Assessment system |
| CN109271368B (en) * | 2018-10-19 | 2022-02-01 | 中联科锐消防科技有限公司 | Database system and maintenance method of fire safety assessment system |
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Effective date of registration: 20160825 Address after: 100031 Xicheng District West Chang'an Avenue, No. 86, Beijing Applicant after: State Grid Corporation of China Applicant after: Beijing Kedong Power Control System Co., Ltd. Applicant after: State Grid Hunan Electric Power Company Applicant after: State Grid Sichuan Electric Power Corporation Applicant after: STATE GRID SHANXI ELECTRIC POWER CO., LTD. Address before: 100031 Xicheng District West Chang'an Avenue, No. 86, Beijing Applicant before: State Grid Corporation of China Applicant before: Beijing Kedong Power Control System Co., Ltd. Applicant before: State Grid Hunan Electric Power Company Applicant before: State Grid Sichuan Electric Power Corporation |
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Application publication date: 20160622 |