CN103065266B - Power distribution network system data self-healing interactive method - Google Patents
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Abstract
The invention relates to the rural network informatization field, in particular to a power distribution network system data self-healing interactive method. The power distribution network system data self-healing interactive method is characterized by comprising the following steps: 1.power distribution network real-time operating data index is collected by a data collector; 2.a f our-dimensional application message pond is constructed; 3.four-level relation application of a single-dimension index data is constructed by adopting an index interior extrapolation method; 4,data index intersection is applied in multiple dimensions; 5.double digit group positioning method is adopted to restore the index data and examine breakdown of the data collector. The power distribution network system data self-healing interactive method excellently solves the problem of self controlling on data when risk evaluation is conducted on a data application bottom, automatic diagnosis, isolation and recovering capabilities of abnormity and breaking down of the power distribution network are improved, and management working efficiency is improved.
Description
Technical field
The present invention relates to rural power grids informatization, be specifically related to a kind of distribution network system data self-healing exchange method.
Background technology
Along with the gradual perfection to power informatization, the demand emphasis of various information system has started to shift to " open, interconnected, integrated ", and the new technologies such as cross-platform, WEB technology, application integration are dropped into larger concern.And the J2EE technology reaching its maturity has really embodied these features, become the main flow scheme of current structure enterprise-level application.The index application building based on bottom kernel, has used the senior deeply application building with MFC framework.The advantage of MFC has encapsulated the API of Windows with the form of C++ class, efficiently merged the kernel application of system operation platform.
The combination application of two kinds of technology, provides one group of general reusable class libraries directly or indirectly to derive from from C Object by C++ class storehouse, with the perfect adaptation of the cross-platform assembly of J2EE, improves the work efficiency under some working condition, plays booster action.
The self-healing of electrical network refer to its in the case of without or only need a small amount of human intervention, utilize advanced monitoring means to carry out continuous online self-assessment to the running status of electrical network, and the control device of employing prevention property, discovery in time, quick diagnosis, rapid adjustment or elimination potential faults; Isolated fault fast, self-recovery in the time that fault occurs, the normal power supply that does not affect user is maybe down to minimum by impact.With regard to self-healing, it is exactly the Core Feature of intelligent grid.The key of the process self-healing implementation procedure especially that electrical network real-time running data oneself adjusts, realizes rationally, fast the self-healing of distribution network system data intelligence and allows especially power distribution network possess immunologic function.
Summary of the invention
For the deficiencies in the prior art, the invention provides a kind of distribution network system data self-healing exchange method, the present invention well solves market demand bottom, in the time carrying out risk assessment, data is carried out to the problem that oneself controls, raising power distribution network is abnormal, diagnosis voluntarily, isolation and the recovery capability of fault, improves management work efficiency.
The object of the invention is to adopt following technical proposals to realize:
A kind of distribution network system data self-healing exchange method, its improvements are, described method comprises the steps:
(1) data acquisition unit gathers power distribution network real-time running data index;
(2) build four-dimensional index application message pond;
(3) adopt index bracketing method to build the level Four relational application of one-dimensional degree achievement data;
(4) data target intersection various dimensions application;
(5) adopt dual array localization method to reduce to achievement data, and the fault of data acquisition unit is carried out to verification.
Wherein, the four-dimensional index application message pond in described step (2) comprises that index life cycle, index definition key factor (Key Term in index definition), achievement data are applied and index hook is checked relation.
Wherein, in described step (3), by the four-dimensional index of power distribution network real-time running data respectively with the association of comparing of the four-dimensional index of other service datas, by the achievement data of all one-dimensional degree, according to its four-dimensional index cross correlation between two, final structure forms the level Four relational application of one-dimensional degree achievement data; The level Four relational application that adopts index bracketing method to build one-dimensional degree achievement data comprises the steps:
1. gather the data message value of the real-time achievement data of operation;
2. the life cycle of nominal data, the key factor of definition index, coherent application and the index hook of achievement data are checked relation, complete the multistage crisscross of operating index;
3. index contrast and information excavating information are carried out to the propelling movement of ms level;
4. complete power distribution network Risk-warning.
Wherein, described step 3. in, the contrast of described index and information excavating refer to the achievement data of the level Four relational application of index bracketing method structure one-dimensional degree achievement data are excavated to comparison, obtain valuable information, as Risk-warning information.
Wherein, in described step (5), adopt dual array localization method to reduce to achievement data, and the fault of data acquisition unit is carried out to verification comprise the steps:
<1> determines dual array: power distribution network real-time running data and the dual array of four-dimensional index constitutes;
<2> determines the dual array after merging: adopting trend in power distribution network operation computation process to calculate and Load Forecast Algorithm carries out verification to power distribution network real-time running data and four-dimensional index, is the dual array after fusion by the data definition after verification;
Dual array and data target after <3> merges intersects various dimensions application and power grid risk early warning is combined, and completes that data are effective reduces and to the verification of data acquisition unit fault.
Compared with the prior art, the beneficial effect that the present invention reaches is:
1, the present invention adopts J2EE as technological core, power distribution network real-time running data index is carried out to rationalization utilization, life cycle to index, index definition key factor, the coherent application of achievement data, index hook are checked relation and are built four-dimensional index application message pond, realize index bracketing method, the data that hit the target realize the intersection various dimensions application of data target in real time execution process, the risk oneself healing that completes data is adjusted, apply dual array locational decision method, realize effective reduction of data, and the fault of collector is carried out to effective and reasonable verification.Well solve market demand bottom, in the time carrying out risk assessment, data are carried out to the problem that oneself controls, raising power distribution network is abnormal, diagnosis voluntarily, isolation and the recovery capability of fault, improves management work efficiency.
2,4 grades of index bracketing method structure one-dimensional degree achievement data provided by the invention are related to magic square application, realize risk profile assessment and the self-healing of power distribution network.
3, dual array localization method provided by the invention completes the self-healing DSH of real time data index, realizes effective reduction of data, and the fault of data acquisition unit is carried out to effective and reasonable verification.
Brief description of the drawings
Fig. 1 is the realization flow figure of distribution network system data self-healing exchange method provided by the invention;
Fig. 2 is the realization flow figure of index bracketing method provided by the invention;
Fig. 3 is the realization flow figure of dual array localization method provided by the invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail.
Power distribution network self-healing application system constantly perfect, the efficient foundation of the crucial framework of self-healing, realizing in power distribution network self-healing process, the high speed of power distribution network production real-time running data is intensive, how effectively allowing service data realize self-healing function, is key of the present invention, and the present invention applies the information development technology of current main flow, further investigate, develop, carry out data mining for high speed, intensive data.Set up four-dimensional data target information pool, a kind of distribution network system data intelligence self-healing exchange method is efficiently provided.
The realization flow of distribution network system data self-healing exchange method provided by the invention as shown in Figure 1, the present invention adopts J2EE as technological core, power distribution network real-time running data index is carried out to rationalization utilization, to the life cycle of index, index definition key factor, the coherent application of achievement data, index hook is checked relation and is built four-dimensional index application message pond, realize index bracketing method, the data that hit the target realize the intersection various dimensions application of data target in real time execution process, the risk oneself healing that completes data is adjusted, apply dual array locational decision method, realize effective reduction of data, and the fault of collector is carried out to effective and reasonable verification, concrete steps are as follows:
(1) data acquisition unit gathers power distribution network real-time running data index;
(2) build four-dimensional index application message pond;
Four-dimensional index application message pond comprises that index life cycle, index definition key factor, achievement data are applied and index hook is checked relation.
(3) adopt index bracketing method to build 4 grades of relational application of one-dimensional degree achievement data;
By the four-dimensional index of power distribution network real-time running data respectively with the association of comparing of the four-dimensional index of other service datas, by the achievement data of all one-dimensional degree, according to its four-dimensional index cross correlation between two, final structure forms the level Four relational application of one-dimensional degree achievement data.
Index bracketing method mainly refers to by real time execution achievement data is carried out to one point data application, 4 grades that build one-dimensional degree achievement data are related to magic square application, index hook is checked the cross-reference of relation, and effective excavation of data depth realizes risk profile assessment and the self-healing of power distribution network.
Index bracketing method has built multilayer index network of personal connections in length and breadth, adopts the realization flow figure of index bracketing method as shown in Figure 2, and it is mainly realized in the following manner:
1. gather the data message value of the real-time achievement data of operation;
2. key factor (Key Term in index definition), the coherent application of achievement data, the index hook of the life cycle of nominal data, definition index are checked relation, complete the multistage crisscross of operating index;
3. index contrast, mined information are carried out to the propelling movement of ms level: index contrast and information excavating refer to the achievement data of the level Four relational application of index bracketing method structure one-dimensional degree achievement data is excavated to comparison, obtain valuable information, as Risk-warning information.
4. complete the quick Risk-warning of operation of power networks index.
(4) data target intersection various dimensions application;
(5) adopt dual array localization method to reduce to achievement data, and the fault of data acquisition unit is carried out to verification.
In information compilation process, using index as variable elements A, real time data, as variable element B, is configured to the dual array of index, and dynamic-change information builds array of pointers.
The self-healing of data height intelligence is realized based on index bracketing method in dual array location, completes data and effectively reduces DSH process.
Data are in high speed acquisition process, the data that gathered by single extraction are due to the restriction of data value itself, only complete the application of achievement data, it is defined to dual array, realizing operation of power networks computation process in group unit merges, calculate through trend, the efficient algorithm fusion such as load prediction, to the index application producing in index cyclic process, with index intersect produce power grid risk early warning, complete the data height intelligence self-healing of real time data index, realize effective reduction DSH of data, and the fault of collector is carried out to effective and reasonable verification, adopt the realization flow of dual array location as shown in Figure 3, comprise the steps:
<1> determines dual array: power distribution network real-time running data and the dual array of four-dimensional index constitutes;
<2> determines the dual array after merging: adopting trend in power distribution network operation computation process to calculate and Load Forecast Algorithm carries out verification to power distribution network real-time running data and four-dimensional index, is the dual array after fusion by the data definition after verification;
Dual array and data target after <3> merges intersects various dimensions application and power grid risk early warning is combined, and completes that data are effective reduces and to the verification of data acquisition unit fault.
Collector belongs to terminal device, breaks down as failure problems such as the superfluous unrest of situation generating program such as extraneous factor network interruptions.
If data acquisition unit breaks down, likely cause the achievement data of collection not accurate enough, such as majority parameters data under this collector exceed index normal range continuously, at this moment just can not be simple data are carried out to self-healing reduction, but need to carry out verification alarm to collector fault.
For the in-problem achievement data of a certain possibility on certain node in power distribution network, can adopt trend calculating and Load Forecast Algorithm etc. in power distribution network operation computation process, recalculate this achievement data of this point, and carry out verification, if this achievement data has problems really, by the data that calculate, it is covered to reduction.
If the achievement data major part of certain collector collection all goes wrong or goes wrong for a long time etc., may there is fault in this collector, will carry out collector fault warning.
Distribution network system data self-healing exchange method provided by the invention, well solve market demand bottom, in the time carrying out risk assessment, data are carried out to the problem that oneself controls, raising power distribution network is abnormal, diagnosis voluntarily, isolation and the recovery capability of fault, improves management work efficiency.
Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although the present invention is had been described in detail with reference to above-described embodiment, those of ordinary skill in the field are to be understood that: still can modify or be equal to replacement the specific embodiment of the present invention, and do not depart from any amendment of spirit and scope of the invention or be equal to replacement, it all should be encompassed in the middle of claim scope of the present invention.
Claims (2)
1. a distribution network system data self-healing exchange method, is characterized in that, described method comprises the steps:
(1) data acquisition unit gathers power distribution network real time execution achievement data;
(2) build four-dimensional index application message pond;
(3) adopt index bracketing method to build the level Four relational application of one-dimensional degree achievement data;
(4) achievement data intersection various dimensions application;
(5) adopt dual array localization method to reduce to achievement data, and the fault of data acquisition unit is carried out to verification;
Four-dimensional index application message pond in described step (2) comprises that index life cycle, index definition key factor, achievement data are applied and index hook is checked relation;
In described step (3), by the four-dimensional index of power distribution network real-time running data respectively with the association of comparing of the four-dimensional index of other service datas, by the achievement data of all one-dimensional degree, according to its four-dimensional index cross correlation between two, final structure forms the level Four relational application of one-dimensional degree achievement data; The level Four relational application that adopts index bracketing method to build one-dimensional degree achievement data comprises the steps:
1. gather the data message value of the real-time achievement data of operation;
2. the life cycle of nominal data, the key factor of definition index, coherent application and the index hook of achievement data are checked relation, complete the multistage crisscross of operating index;
3. index contrast and information excavating information are carried out to the propelling movement of ms level;
4. complete power distribution network Risk-warning;
In described step (5), adopt dual array localization method to reduce to achievement data, and the fault of data acquisition unit is carried out to verification comprise the steps:
<1> determines dual array: power distribution network real-time running data and the dual array of four-dimensional index constitutes;
<2> determines the dual array after merging: adopting trend in power distribution network operation computation process to calculate and Load Forecast Algorithm carries out verification to power distribution network real-time running data and four-dimensional index, is the dual array after fusion by the data definition after verification;
Dual array and achievement data after <3> merges intersects various dimensions application and power grid risk early warning is combined, and completes that data are effective reduces and to the verification of data acquisition unit fault.
2. distribution network system data self-healing exchange method as claimed in claim 1, it is characterized in that, described step 3. in, described index contrast and information excavating refer to the achievement data of the level Four relational application of index bracketing method structure one-dimensional degree achievement data are excavated to comparison, obtain valuable information, comprise Risk-warning information.
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| CN101436780A (en) * | 2008-12-18 | 2009-05-20 | 国网电力科学研究院 | Self-healing control method for urban power distribution network |
| CN102231521A (en) * | 2011-06-24 | 2011-11-02 | 中国电力科学研究院 | Power grid operation state identification method in distribution network self-healing control |
| CN102255309A (en) * | 2011-07-15 | 2011-11-23 | 中国电力科学研究院 | Self-healing control method of centralized distribution network |
| CN102751725A (en) * | 2012-07-13 | 2012-10-24 | 中国电力科学研究院 | Overload risk state identifying method for power distribution network |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101436780A (en) * | 2008-12-18 | 2009-05-20 | 国网电力科学研究院 | Self-healing control method for urban power distribution network |
| CN102231521A (en) * | 2011-06-24 | 2011-11-02 | 中国电力科学研究院 | Power grid operation state identification method in distribution network self-healing control |
| CN102255309A (en) * | 2011-07-15 | 2011-11-23 | 中国电力科学研究院 | Self-healing control method of centralized distribution network |
| CN102751725A (en) * | 2012-07-13 | 2012-10-24 | 中国电力科学研究院 | Overload risk state identifying method for power distribution network |
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