CN102707178B - Method for prewarning and monitoring failures of secondary equipment of power system - Google Patents

Abstract

The invention provides a method for prewarning and monitoring failures of secondary equipment of a power system. Based on the real-time acquisition of power consumption data information of the secondary equipment and data collecting and sharing of a data communication network, the warning fault state of the secondary equipment are logically forecasted and judged in situ by a master station system, and the result can be provided for dispatching personnel, protection personnel and maintenance personnel to serve as the reference of operation and maintenance in the next step. The method provided by the invention perfects the operation monitoring method of the secondary equipment, no longer completely relies on the warning information of the secondary equipment per se and provides auxiliary monitoring measures; by adopting the method, abnormal operation of the secondary equipment can be quickly discovered, and personnel on site can be reminded of resolving the problem promptly, so that further expansion of accidents is prevented and the incidence of burning during operation of the secondary equipment is effectively reduced; the whole-life management strategy of the secondary equipment is helped to be built, new management references are introduced and the management and maintenance of the secondary equipment of the whole system are perfected.

Description

A method for early warning and monitoring of secondary equipment failure in power system

technical field

The invention belongs to the technical field of electric power automation and communication, and in particular relates to a method for early warning and monitoring of secondary equipment faults in a power system.

Background technique

Traditional power system secondary equipment mainly includes relay protection, safety automatic device, fault recording, local monitoring and telecontrol system. With the rapid development of computer technology and communication technology, the demand for smart grid, UHV system and new energy, there will be more demand for intelligent secondary equipment. In actual operation, power system failures caused by secondary equipment occur from time to time. When analyzing the malfunction and refusal of secondary equipment, it is found that carrying out secondary equipment status monitoring can effectively reduce a large number of repairs and maintenance on secondary equipment Work, discover potential failures of secondary equipment in time, and improve the average failure-free rate of secondary equipment. The entry of secondary equipment into the era of microcomputers enables the equipment to have a stronger logical judgment function, and the self-test information of the equipment is also gradually developed and improved on this basis. Usually, the controller running on the secondary equipment of the power system is composed of a central processing unit and a digital signal processor. The processor judges its abnormality through the interaction with the external equipment, records the abnormal state and sends an abnormal signal. The current secondary equipment failure alarm monitoring is generally based on the self-check alarm information of the secondary equipment itself, which may cause false positives or missed negatives when the secondary equipment itself fails.

Through the analysis and research on the operation and abnormal state of the secondary equipment, based on the real-time collection of the power consumption of the secondary equipment, the operation monitoring capability of the secondary equipment can be increased, and the necessary fault alarm prediction information can be provided.

Contents of the invention

In order to overcome the above-mentioned deficiencies in the prior art, the present invention provides a power system secondary equipment failure early warning monitoring method, based on real-time collection of secondary equipment power consumption data information and data collection and sharing of data communication network, through local and master station system logic The prediction and judgment of the alarm fault state of the secondary equipment are given, and the results can be provided to dispatchers, protection personnel and maintenance personnel as the basis for the next operation and maintenance.

In order to realize the above-mentioned purpose of the invention, the present invention takes the following technical solutions:

A method for early warning and monitoring of secondary equipment faults in a power system, the method comprising the following steps:

Step 1: Collect power consumption data information of secondary equipment, and connect the power consumption data information collection device to the substation data network;

Step 2: The power consumption data information acquisition device compares the real-time power consumption of the secondary equipment with the average value of power consumption in different time periods, and obtains an alarm message indicating that the power consumption data information of the secondary equipment is abnormal;

Step 3: The power consumption data information and alarm information are sent to the main station system and the local background alarm system;

Step 4: The master station system associates the received power consumption data information with the secondary device association library, and establishes a model;

Step 5: Determine whether the power consumption data information of the secondary equipment is abnormal, if abnormal, give the early warning information of the secondary equipment, and provide the repair and maintenance measures of the secondary equipment.

In the step 1, the Hall sensor collects the signal in the source input circuit of the secondary equipment and inputs the signal to the A/D sampling system to obtain the current value of the power input terminal of the secondary equipment, the current value and the rated DC voltage value Multiply to get the power consumption data information.

Both the Hall sensor and the A/D sampling system are arranged in an independent power consumption information collection device or integrated inside the secondary equipment.

In the step 2, the power consumption data information collection device compares the real-time power consumption data information of the secondary equipment with the average value of power consumption in different time periods, and when the real-time power consumption is continuously greater than the average value of power consumption in different time periods, generates a secondary Alarm information about abnormal device power consumption data information.

In the step 3, the secondary device sends both the power consumption data information and the alarm information to the main station system and the local background alarm system through the data communication network.

In the step 4, the models include different classification models of secondary equipment, classification models by equipment version and model, classification models by equipment manufacturers, models classified by primary equipment associated with secondary equipment, and regional classification models operated by secondary equipment And a model classified by the time period when the secondary equipment manufacturer leaves the factory.

In the step 5, the master station system processes, analyzes and counts the power consumption data information of the secondary equipment obtained online in real time, and judges whether the power consumption data information of the secondary equipment is abnormal, and gives an early warning of the secondary equipment if abnormal information, and provide secondary equipment inspection and maintenance measures.

The master station system uses a data group comparison method combined with historical fault alarm data of the secondary equipment to judge whether the power consumption data information of the secondary equipment is abnormal.

The master station system judges whether the power consumption data information of the secondary equipment is abnormal according to the following formula:

${\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; ></span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; t</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; ;</span>$

Among them, P _x is the real-time power consumption of the secondary equipment, K _t is the temperature coefficient, K _s is the fixed value parameter, K _p is the unbalance coefficient of power consumption measurement, P _i is the real-time power consumption of the secondary equipment in the secondary equipment association library Power consumption, n is the number of the secondary device in the secondary device association library.

Compared with prior art, the beneficial effect of the present invention is:

1. The present invention improves the method of secondary equipment operation monitoring, no longer completely depends on the alarm information of the secondary equipment itself, and provides auxiliary monitoring measures;

2. The present invention can quickly discover the abnormal operation of the secondary equipment, remind the on-site personnel to solve the problem in time, prevent the further expansion of the accident, and effectively prevent the occurrence probability of the secondary equipment operation burning accident;

3. Combined with the secondary equipment account information of the main station, the method of monitoring and alarming the secondary equipment power consumption data information can effectively give the necessary early warning signals before the secondary equipment fails, and arrange maintenance plans in time. Before expansion, prevent problems before they happen;

4. By recording the power consumption data information of the secondary equipment and the damage and maintenance of the secondary equipment, the system side of the main station can help build a strategy for the full life management of the secondary equipment, introduce new management basis, and improve the secondary equipment of the entire system. Equipment management and maintenance.

Description of drawings

Fig. 1 is the flowchart of the method for early warning and monitoring of secondary equipment faults in the power system in an embodiment of the present invention;

Fig. 2 is a structural diagram of a device failure alarm prediction system based on secondary device power consumption monitoring in an embodiment of the present invention.

Detailed ways

The present invention will be described in further detail below in conjunction with the accompanying drawings.

As shown in Figures 1-2, a method for early warning and monitoring of secondary equipment failure in a power system, the method includes the following steps:

Step 1: Collect power consumption data information of secondary equipment, and connect the power consumption data information collection device to the substation data network;

Step 2: The power consumption data information acquisition device compares the real-time power consumption of the secondary equipment with the average value of power consumption in different time periods, and obtains an alarm message indicating that the power consumption data information of the secondary equipment is abnormal;

Step 3: The power consumption data information and alarm information are sent to the main station system and the local background alarm system;

Step 4: The master station system associates the received power consumption data information with the secondary device association library, and establishes a model;

Step 5: Determine whether the power consumption data information of the secondary equipment is abnormal, if abnormal, give the early warning information of the secondary equipment, and provide the repair and maintenance measures of the secondary equipment.

In the step 1, the Hall sensor collects the signal in the source input circuit of the secondary equipment and inputs the signal to the A/D sampling system to obtain the current value of the power input terminal of the secondary equipment, the current value and the rated DC voltage value Multiply to get the power consumption data information.

Both the Hall sensor and the A/D sampling system are arranged in an independent power consumption information collection device or integrated inside the secondary equipment.

In the step 2, the power consumption data information collection device compares the real-time power consumption data information of the secondary equipment with the average value of power consumption in different time periods, and when the real-time power consumption is continuously greater than the average value of power consumption in different time periods, generates a secondary Alarm information about abnormal device power consumption data information.

The initial value of the rated power consumption of the secondary device Pset, the maximum power consumption value Pmax, the average value of the maximum power consumption data per second within 24 hours Pmsec, the average power consumption data value of the previous hour Phour.; meet the continuous 3-20 power consumption measurements If the data is greater than Pset*3, Phour*3, Pmsec, 0.5Pmax or meets the requirement that the average power consumption data per hour increases by more than 5% within 3-7 consecutive hours, an alarm message indicating that the power consumption data information of the secondary device is abnormal will be generated.

In the step 3, the secondary device sends both the power consumption data information and the alarm information to the main station system and the local background alarm system through the data communication network.

In the step 4, the models include different classification models of secondary equipment, classification models by equipment version and model, classification models by equipment manufacturers, models classified by primary equipment associated with secondary equipment, and regional classification models operated by secondary equipment And a model classified by the time period when the secondary equipment manufacturer leaves the factory.

In the step 5, the master station system processes, analyzes and counts the power consumption data information of the secondary equipment obtained online in real time, and judges whether the power consumption data information of the secondary equipment is abnormal, and gives an early warning of the secondary equipment if abnormal information, and provide secondary equipment inspection and maintenance measures.

The master station system uses a data group comparison method combined with historical fault alarm data of the secondary equipment to judge whether the power consumption data information of the secondary equipment is abnormal.

The master station system judges whether the power consumption data information of the secondary equipment is abnormal according to the following formula:

${\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; ></span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; t</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; ;</span>$

Among them, P _x is the real-time power consumption of the secondary equipment, K _t is the temperature coefficient, K _s is the fixed value parameter, K _p is the unbalance coefficient of power consumption measurement, P _i is the real-time power consumption of the secondary equipment in the secondary equipment association library Power consumption, n is the number of the secondary device in the secondary device association library.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the present invention can still be Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention shall be covered by the scope of the claims of the present invention.

Claims (7)

1. a secondary equipment in power system fault pre-alarming supervision method, is characterized in that: said method comprising the steps of:

Step 1: gather the power consumption data information of secondary device, and by power consumption data information collecting device access substation data net;

Step 2: power consumption data information collecting device compares the power consumption mean values of secondary device real time power consumption and different time sections, obtains the abnormal warning information of secondary device power consumption data information;

Step 3: described power consumption data information and warning information are delivered to main station system and local backstage warning system on all;

Step 4: described main station system is associated the power consumption data information of reception and secondary device correlation database, and sets up model;

Step 5: whether the power consumption data information of differentiating secondary device is abnormal, if extremely provide the early warning information of secondary device, and provides the measure of secondary device inspection and maintenance.

2. secondary equipment in power system fault pre-alarming supervision method according to claim 1, it is characterized in that: in described step 1, described power consumption data information collecting device comprises Hall element and A/D sampling system, signal in the source input circuit of Hall element collection secondary device also inputs to A/D sampling system by signal, obtain the current value of secondary device power input, described current value and the rated direct voltage value power consumption data information that multiplies each other to obtain; Described Hall element and A/D sampling system are all integrated in secondary device inside.

3. secondary equipment in power system fault pre-alarming supervision method according to claim 1, it is characterized in that: in described step 2, power consumption data information collecting device compares the power consumption mean values of secondary device real time power consumption data message and different time sections, when real time power consumption is greater than the power consumption mean values of different time sections continuously, generate the abnormal warning information of secondary device power consumption data information.

4. secondary equipment in power system fault pre-alarming supervision method according to claim 1, it is characterized in that: in described step 3, secondary device is delivered to main station system and local backstage warning system by described power consumption data information and warning information on all by data communication network.

5. secondary equipment in power system fault pre-alarming supervision method according to claim 1, it is characterized in that: in described step 4, model comprises by device version type classification model, by equipment manufacturer's disaggregated model, by the model of the primary equipment classification of secondary device association, by the model of the geographic classification model He An secondary device producer time of making the product section classification of secondary device operation.

6. secondary equipment in power system fault pre-alarming supervision method according to claim 1, it is characterized in that: in described step 5, the secondary device power consumption data information of obtaining is online processed, analyzes and added up to described main station system in real time, whether the power consumption data information of differentiating secondary device is abnormal, if abnormal provide the early warning information of secondary device, and provide the measure of secondary device inspection and maintenance.

7. secondary equipment in power system fault pre-alarming supervision method according to claim 6, is characterized in that: described main station system adopts data group relative method in conjunction with secondary device historical failure alarm data, judges that whether the power consumption data information of secondary device is abnormal.

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