CN102142716B - Power grid online fault diagnosis method based on three-state data multidimensional cooperative processing - Google Patents
Power grid online fault diagnosis method based on three-state data multidimensional cooperative processing Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract
The invention relates to a power grid online fault diagnosis method based on three-state data multidimensional cooperative processing, belonging to the technical field of intelligent analysis and control of power systems. The method is characterized by comprising the following steps: receiving the three-state (steady state, dynamic state and transient state) data of the power grid in real time; establishing an intelligent logic reasoning diagnosis module based on the steady-state data, an electric quantity diagnosis module based on the dynamic data and an electric quantity diagnosis module based on the transient data; and meanwhile, establishing a fault diagnosis cooperative processing module according to different characteristics of data sources, and performing fault diagnosis cooperative processing from time dimension, space dimension and information dimension. Moreover, the fault phase of the failed equipment can be roughly analyzed further according to the switch action information in failure. The method provided by the invention can obviously improve the real-time performance, reliability and practicability of the power grid online fault diagnosis through the cooperative processing of three-dimensional fault diagnosis from the time dimension, space dimension and information dimension.
Description
Technical field
The invention belongs to Power System Intelligent analysis and control technology field, espespecially a kind of powernet method for diagnosing faults based on the three-state data multidimensional associated treatment.
Background technology
Large scale construction along with the ultra high voltage synchronised grids, Power grid structure and operation characteristic are increasingly sophisticated at present, the super fault of setting up defences that the natural calamities such as violent typhoon, violent wind line wind cause, the power grid security defence line is impacted frequent, traditional experience scheduling can't have been satisfied the requirement of large power network safety operation, in the urgent need to promoting existing scheduling intellectualized operation level, realize the online quick diagnosis of electric network fault.
The research of powernet failure diagnosis major field has the time of ten or twenty about year; Chinese scholars has proposed the method for different fault diagnosis during this period; representative method mainly contains expert system; artificial neural net; based on the method for optimizing and owing to the uncertainty of information and incomplete take based on fuzzy set; the method of information theory and rough set etc.; be subject to the level when computer-chronograph and the communication technology; the data source of failure diagnosis is mainly SOE(Sequence Of Event) actuating signal and protection actuating signal; so that on-line fault diagnosis result's reliability is not high; information is coarse, is difficult to the requirement of adaption scheduling operation.
Along with the fast-developing of computer and communication technology level and the extensive use in electric power system; synchronous phasor measurement unit (PMU) based on GPS has become a requisite ring in transformer station's measurement and control unit; the in addition popularization of fault oscillograph networking technology; the data source of control centre is enriched constantly and is perfect; the powernet failure diagnosis not only is confined to utilize SCADA data and protection actuating signal; based on the SCADA data; the protection actuating signal; the online electric network synthetic failure diagnosis of the multisource information fusion technology of PMU data and fault recorder data not only can improve reliability and the accuracy of failure diagnosis; can also realize becoming more meticulous of failure diagnosis, be the inexorable trend of fault diagnosis future development.Also there is in recent years the scholar to propose on-line fault diagnosis method based on multiple data sources, but just adopted the method for layering to carry out analyzing and processing for every kind of data source, how not yet to relate to the various dimensions angle from information, several data and analytical method are carried out associated treatment, consider as a whole from time dimension, space dimension and three aspects of Information Dimension, at utmost to satisfy the requirement of management and running.
Summary of the invention
Technical problem to be solved by this invention provides a kind of method of the powernet failure diagnosis based on the three-state data multidimensional associated treatment.
For solving the problems of the technologies described above, the invention provides a kind of powernet method for diagnosing faults based on the three-state data multidimensional associated treatment, it is characterized in that:
Comprise the following steps:
(1) receives in real time steady state data, dynamic data and the Temporal Data that the substation end send in the grid dispatching center side;
(2) diagnose based on the intelligent logical reasoning of steady state data: according to the steady state data that send on the side of substation, according to a secondary device incidence relation, the intelligent inference method that Adoption Network topological analysis and protection action logic combine is carried out the inline diagnosis of electric network fault;
(3) diagnose based on the electric parameters of dynamic data: according to the dynamic data that send on the side of substation, from three-phase voltage, electric current, extract the short circuit malfunction information that characterizes, adopt the method for pattern matching, carry out the inline diagnosis of electric network fault;
(4) diagnose based on the electric parameters of Temporal Data: according to the Temporal Data that send on the side of substation, from the failure wave-recording file, extract fault bulletin information or adopt the soft protection algorithm of simulation protection to carry out accident analysis, carry out the inline diagnosis of electric network fault;
(5) failure diagnosis associated treatment: based on the diagnostic result of step (2), (3), (4), from time dimension, space dimension and three dimensions of Information Dimension are collaborative carries out failure diagnosis, failure diagnosis is carried out associated treatment;
(6) show the information of electric network fault by man-machine interface.
The information of grid dispatching center access comprises steady state data, dynamic data and Temporal Data, and steady state data mainly comprises SCADA data and protection actuating signal, and dynamic data mainly comprises the PMU data, and Temporal Data mainly comprises fault recorder data.According to the different qualities of electrical network ternary (stable state, dynamic and transient state) data, from the collaborative failure diagnosis of carrying out of time dimension, space dimension and three dimensions of Information Dimension.Combination and the associated treatment of the ternary data of electrical network have improved real-time, the dependable with function of failure diagnosis from time dimension, space dimension and three dimensions of Information Dimension.
Carry out failure diagnostic process and be from time dimension is collaborative: Power System Steady-state data and dynamic data can be delivered to the control centre in real time, when electrical network breaks down, the real-time of SCADA data, protection actuating signal and PMU data is better, above-mentioned data can collect immediately in control centre's side after fault occurs, the real-time of fault recorder data is relatively poor, and control centre's side just can collect in a period of time after fault occurs; The dispatching of power netwoks operations staff needs the very first time to know where fault occurs in after electrical network breaks down, and need to utilize SCADA data, protection actuating signal and PMU data to carry out failure diagnosis to guarantee its real-time.Send the condition of control centre on the not all substation of electrical network dynamic data and Temporal Data end all possesses, in the situation that does not possess dynamic data and Temporal Data, utilize steady state data to carry out failure diagnosis, can improve the reliability of failure diagnosis; The electrical network Temporal Data has abundant fault characteristic information, utilizes the electrical network Temporal Data can analyze short circuit current and fault distance information, and the auxiliary dispatching operations staff optimizes the sending end selection and improves line walking efficient.
Further tracing trouble is separate to utilize switch actuating signals in the Power System Steady-state data, and distinguishing fault phase is single-phase fault or phase-to phase fault.Possess at switch in the situation of phase-splitting actuating signal, further specifically separate (A phase, B phase, the C phase) of identification form phase fault.
Utilize SCADA data failure judgement separate: during for superhigh pressure/extra-high voltage grid line fault, the mode that reclosing generally adopts the substance list to close utilizes the switch changed position signal of SCADA data to differentiate, and concrete decision logic is as follows:
(1) when electrical network breaks down, if action sequence is single-phase fault then for " divide afterwards first and close " or " divide first to close afterwards again and divide ", otherwise be phase-to phase fault;
(2) if fault is single-phase fault, and switch has the phase-splitting action message, and then switch motion is corresponding phase place mutually.
Carry out failure diagnostic process and be from space dimension is collaborative: the SCADA data communication device is crossed the collection of RTU device; its all devices in electrical network are all layouted and are all delivered to the control centre; the PMU data communication device is crossed the collection of PMU device; it is layouted at electrical network part factory station; the protection actuating signal is by the protective device collection; all layout but only have part signal to deliver to the control centre in its all factory stations in electrical network; fault recorder data is by the fault oscillograph collection; all layout but only have part signal to deliver to the control centre in its all factory stations in electrical network; therefore from space dimension angle; the SCADA data have complete observability; the protection actuating signal; PMU data and fault recorder data only have the part observability; in the protection actuating signal; when PMU data and fault recorder data do not possess observability, need to only utilize the SCADA data to carry out failure diagnosis.
Carry out failure diagnostic process and be from Information Dimension is collaborative: utilizing SCADA data and protection actuating signal to carry out failure diagnosis can the failure judgement time, faulty equipment, fault phase (rough judge) and coincidence situation; Utilizing the PMU data to carry out failure diagnosis can the failure judgement time, faulty equipment, fault phase and coincidence situation; Utilizing fault recorder data to carry out failure diagnosis can the failure judgement time, faulty equipment, fault phase, coincidence situation and short circuit current and fault localization.Short circuit current and fault localization that the dispatching of power netwoks operations staff need to obtain by analysis with fault wave recorder when carrying out troubleshooting are selected and are improved circuit line walking efficient to optimize the circuit sending end.
Operation principle of the present invention is:
Ternary data in the electrical network have different data characteristics, as shown in the table, from the time dimension angle, Power System Steady-state data and dynamic data real-time are better, utilize steady state data and dynamic data to carry out the real-time that failure diagnosis can improve failure diagnosis, the very first time is sent warning information to the management and running personnel after electrical network breaks down; From space dimension angle, steady state data has complete Observable, and dynamic data and Temporal Data only possess the part Observable, when fault occurs in dynamic data and the unobservable position of Temporal Data, utilize steady state data to carry out the reliability that failure diagnosis can improve failure diagnosis; From the Information Dimension angle, the electrical network Temporal Data possesses the short circuit current of analysis and fault localization function, utilizes this information the auxiliary dispatching operations staff to carry out troubleshooting, and sending end is selected and raising line walking efficient to optimize.
Based on the powernet failure diagnosis of the three-state data multidimensional associated treatment characteristic according to data source, failure diagnosis mainly comprises four modules, is respectively intelligent logical reasoning diagnostic module based on steady state data, based on the electric parameters diagnostic module of dynamic data, based on electric parameters diagnostic module and the failure diagnosis associated treatment module of Temporal Data.In blink after electrical network breaks down, by carrying out the initial analysis of fault based on the intelligent logical reasoning diagnostic module of steady state data with based on the electric parameters diagnostic module of dynamic data, comprise and identify faulty equipment, fault time, fault is separate and overlaps type; As time goes on, after Temporal Data is delivered to the control centre, further analyze short circuit current and fault distance by the electric parameters diagnostic module based on Temporal Data.Failure diagnosis associated treatment module is through based among the intelligent logical reasoning diagnostic module of steady state data, the electric parameters diagnostic module and the electric parameters diagnostic module based on Temporal Data based on dynamic data, the analysis result of each fault diagnosis module is carried out verification and integration, thereby improved real-time, the dependable with function of failure diagnosis.
The beneficial effect that the present invention reaches:
A kind of powernet method for diagnosing faults based on the three-state data multidimensional associated treatment of the present invention, by the associated treatment to time dimension, space dimension and the Information Dimension of the ternary data of electrical network, improved real-time, the dependable with function of powernet failure diagnosis.
Description of drawings
Fig. 1 is a kind of Troubleshooting Flowchart based on multidimensional associated treatment in the powernet failure diagnosis of electrical network three-state data multidimensional associated treatment of the present invention;
Fig. 2 is a kind of logic diagram based on switch actuating signals identification fault phase in the powernet failure diagnosis of electrical network three-state data multidimensional associated treatment of the present invention.
Embodiment
The invention will be further described below in conjunction with accompanying drawing.Fig. 1 is the Troubleshooting Flowchart of a kind of powernet method for diagnosing faults based on electrical network three-state data multidimensional associated treatment of the present invention.
The failure diagnosis of multidimensional associated treatment of the present invention comprises four modules, namely based on the intelligent logical reasoning diagnostic module of steady state data, based on the electric parameters diagnostic module of dynamic data, based on electric parameters diagnostic module and the failure diagnosis associated treatment module of Temporal Data.
Failure diagnosis handling process of the present invention is:
Receive in real time the steady state datas such as remote measurement, remote signalling data and protection actuating signal of electrical network based on the intelligent logical reasoning diagnostic module of steady state data; when electrical network breaks down; the intelligent inference method that Adoption Network topological analysis and protection action logic combine; quick diagnosis has the fault that occurs in the electrical network, and the accident analysis result is exported to failure diagnosis associated treatment module.
Receive in real time the dynamic data of electrical network based on the electric parameters diagnostic module of dynamic data, extract the characteristic information that characterizes electric network fault in three-phase voltage, the electric current, adopt the method for pattern matching, quick diagnosis has the fault that occurs in the electrical network, and the accident analysis result is exported to failure diagnosis associated treatment module.
Receive in real time failure wave-recording file in the electrical network based on the electric parameters diagnostic module of Temporal Data; by extracting the fault bulletin information in the failure wave-recording file or adopting the algorithm of simulation protection to carry out accident analysis; inline diagnosis goes out the fault message in the electrical network, and the accident analysis result is exported to failure diagnosis associated treatment module.
Failure diagnosis associated treatment module receives in real time the intelligent logical reasoning diagnostic module that comes from based on steady state data, based on the electric parameters diagnostic module of dynamic data and based on the analysis result output of the electric parameters diagnostic module of Temporal Data, and the result that will analyze separately is that the index information of carrying out is integrated according to fault time, faulty equipment, and merging becomes an independently event of failure.In addition, failure diagnosis associated treatment module triggers the failure wave-recording file of calling substation end and the electric parameters diagnostic module that starts based on fault recorder data and calculates after receiving based on the intelligent logical reasoning diagnostic module of steady state data or the output based on the electric parameters diagnostic module of dynamic data.
Fig. 2 is a kind of logic diagram based on switch actuating signals identification fault phase in the powernet failure diagnosis of electrical network three-state data multidimensional associated treatment of the present invention.Its handling process is:
The switch trip actuating signal sequential that at first failure judgement equipment is corresponding: if the switch motion sequential then is single-phase fault for " divide afterwards first and close " or " divide first to close afterwards again and divide "; Otherwise be phase-to phase fault; If single-phase fault, whether then further analyze switch actuating signals is split phase signal, if split-phase switch actuating signal, then judge the concrete phase place of split phase signal, if A phase switch actuating signals then fault phase is the A phase, if B phase switch actuating signals then fault phase is the B phase, if C phase switch actuating signals then fault phase be the C phase.
The present invention is illustrated according to the preferred embodiment, should be appreciated that above-described embodiment does not limit the present invention in any form, and all employings are equal to replaces or technical scheme that the form of equivalent transformation obtains, all drops within protection scope of the present invention.
Claims (4)
1. the powernet method for diagnosing faults based on the three-state data multidimensional associated treatment is characterized in that, comprises the following steps:
(1) receives in real time steady state data, dynamic data and the Temporal Data that the substation side is sent in the grid dispatching center side;
(2) diagnose based on the intelligent logical reasoning of steady state data: according to the steady state data that send on the side of substation, according to a secondary device incidence relation, the intelligent inference method that Adoption Network topological analysis and protection action logic combine is carried out the inline diagnosis of electric network fault;
(3) diagnose based on the electric parameters of dynamic data: according to the dynamic data that send on the side of substation, from three-phase voltage, electric current, extract the short circuit malfunction information that characterizes, adopt the method for pattern matching, carry out the inline diagnosis of electric network fault;
(4) diagnose based on the electric parameters of Temporal Data: according to the Temporal Data that send on the side of substation, from the failure wave-recording file, extract fault bulletin information or adopt the soft protection algorithm of simulation protection to carry out accident analysis, carry out the inline diagnosis of electric network fault;
(5) failure diagnosis associated treatment: based on the diagnostic result of step (2), (3), (4), from time dimension, space dimension and three dimensions of Information Dimension are collaborative carries out failure diagnosis, failure diagnosis is carried out associated treatment;
(6) show the information of electric network fault by man-machine interface;
Described steady state data comprises SCADA data and protection actuating signal, and described dynamic data comprises the PMU data, and described Temporal Data comprises fault recorder data;
Carry out failure diagnostic process and be from Information Dimension is collaborative: utilize SCADA data and protection actuating signal to carry out failure diagnosis failure judgement time, faulty equipment, fault phase and coincidence situation; Utilize the PMU data to carry out failure diagnosis failure judgement time, faulty equipment, fault phase and coincidence situation; Utilize fault recorder data to carry out failure diagnosis failure judgement time, faulty equipment, fault phase, coincidence situation and short circuit current and fault localization; The dispatching of power netwoks operations staff optimizes the selection of circuit sending end by short circuit current and fault localization that analysis with fault wave recorder obtains.
2. a kind of powernet method for diagnosing faults based on the three-state data multidimensional associated treatment according to claim 1 is characterized in that, utilizes the switch changed position signal failure judgement of described SCADA data separate, and concrete decision logic is as follows:
(1) when electrical network breaks down, if action sequence is single-phase fault then for " divide afterwards first and close " or " divide first to close afterwards again and divide ", otherwise be phase-to phase fault;
(2) if fault is single-phase fault, and switch has the phase-splitting action message, and then switch motion is corresponding phase place mutually.
3. a kind of powernet method for diagnosing faults based on the three-state data multidimensional associated treatment according to claim 1, it is characterized in that, carry out failure diagnostic process and be from time dimension is collaborative: when electrical network breaks down, edge-on real-time preferably SCADA data, protection actuating signal and the PMU data of namely collecting in control centre are carried out initial analysis to fault; Control centre's side just collects the relatively poor fault recorder data of real-time in a period of time after fault occurs, and fault is further analyzed.
4. a kind of powernet method for diagnosing faults based on the three-state data multidimensional associated treatment according to claim 1, it is characterized in that, carry out failure diagnostic process and be from space dimension is collaborative: the SCADA data communication device is crossed the collection of RTU device, and its all devices in electrical network are all layouted and all delivered to the control centre; The PMU data communication device is crossed the collection of PMU device, and it is layouted at electrical network part factory station, and the protection actuating signal is by the protective device collection, all layouts but only have part signal to deliver to the control centre in its all factory stations in electrical network; Fault recorder data is by the fault oscillograph collection, all layouts but only have part signal to deliver to the control centre in its all factory stations in electrical network.
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