CN116799792B - Intelligent power distribution network management system based on wireless communication network - Google Patents
Intelligent power distribution network management system based on wireless communication network Download PDFInfo
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- CN116799792B CN116799792B CN202310741455.8A CN202310741455A CN116799792B CN 116799792 B CN116799792 B CN 116799792B CN 202310741455 A CN202310741455 A CN 202310741455A CN 116799792 B CN116799792 B CN 116799792B
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- 238000004891 communication Methods 0.000 title claims abstract description 21
- 230000002159 abnormal effect Effects 0.000 claims abstract description 22
- 230000005540 biological transmission Effects 0.000 claims abstract description 12
- 238000007405 data analysis Methods 0.000 claims abstract description 8
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 238000007726 management method Methods 0.000 claims description 28
- 238000000034 method Methods 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 14
- 238000004804 winding Methods 0.000 claims description 12
- 238000010586 diagram Methods 0.000 claims description 11
- 238000001931 thermography Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 description 4
- 230000005856 abnormality Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
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- 238000013500 data storage Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
- H02J3/0012—Contingency detection
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
Abstract
The invention discloses an intelligent power distribution network management system based on a wireless communication network, which comprises: the data acquisition component is provided with corresponding wireless sensors on each key node of the transformer, and corresponding signal data are acquired through each wireless sensor; the data transmission component is in data connection with the data acquisition component, acquires a signal data set and transmits the signal data set to the central control center; the central control center is in data connection with the data transmission component, receives and stores the signal data set, performs data analysis and fault prediction on the signal data set, and judges whether the transformer is abnormal or not based on an analysis result; and when the transformer is judged to be abnormal by combining with the judgment result of the transformer, the central control center further acquires whether the configured wireless sensor operates normally or not, judges whether the sensor is normal or not in real time, limits the specific layout of the sensor, and improves the data acquisition accuracy.
Description
Technical Field
The invention relates to the technical field of power distribution network management, in particular to an intelligent power distribution network management system based on a wireless communication network.
Background
The traditional power distribution network management system generally uses a wired communication mode to carry out data transmission, and has the problems of complex wiring, high cost, easy interference and the like. With the development and popularization of wireless communication technology, an intelligent power distribution network management system based on a wireless communication network becomes a new solution.
The existing intelligent power distribution network management system generally collects corresponding data of a transformer through a configured sensor, and a processing model configured in a processor processes the data, so that the purpose of judging faults of the transformer is achieved. The prior art adopting the mode relies on data acquisition of the sensor, but the sensor and the accuracy of the acquired data thereof do not carry out corresponding management steps, and the method is specifically characterized in that: on one hand, when the sensor is exposed to outdoor high-load operation for a long time and is easy to damage, the existing system does not judge whether the sensor is normal or not in real time, and on the other hand, the specific layout of the sensor is not limited, and the accuracy of corresponding data acquired by the sensor is to be improved.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above-mentioned problems with existing smart distribution network management systems.
Therefore, the technical problems solved by the invention are as follows: the intelligent power distribution network management system solves the problems that whether the sensor is normal or not is judged in real time, the specific layout of the sensor is not limited, and the accuracy of corresponding data acquired by the sensor is to be improved.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent power distribution network management system based on a wireless communication network, comprising: the data acquisition component is provided with corresponding wireless sensors on each key node of the transformer, and corresponding signal data are acquired through each wireless sensor;
the data transmission component is in data connection with the data acquisition component, acquires a signal data set and transmits the signal data set to the central control center; the central control center is in data connection with the data transmission component, receives and stores the signal data set, performs data analysis and fault prediction on the signal data set, and judges whether the transformer is abnormal or not based on an analysis result; combining the judging result of the transformer, and when the transformer is judged to be abnormal, further acquiring whether the configured wireless sensor operates normally or not by the central control center; the method comprises the steps that a current wireless sensor and a voltage wireless sensor are arranged at a cable interface of an input side and a cable interface of an output side of a transformer, and current alpha of the input side of the transformer, current beta of the output side of the transformer, voltage gamma of the input side of the transformer and voltage epsilon of the output side of the transformer are obtained; a temperature wireless sensor is configured around the transformer to obtain a temperature change signal value delta around the transformer; configuring a humidity wireless sensor around the transformer to obtain a humidity change signal value zeta around the transformer; the method comprises the following steps of obtaining suitable points of the wireless sensor around the transformer: setting a thermal imaging thermometer in the circumferential range of the transformer; operating the transformer from a stationary state within a nominal time; acquiring a temperature change diagram of the transformer in a rated time in real time; obtaining a region of which the temperature change reaches a threshold ratio in the operation process of the transformer according to a group of continuous temperature change graphs; acquiring corresponding selected areas, and performing sequence ranking according to the temperature change range of each area; taking the area with the largest temperature change range as a reference selected area, covering and acquiring form center points of each selected area by a circular topology, and acquiring distances from other different form center points to the form center points of the reference selected area; taking a connecting line of the form center point of the reference selected area and the form center point of the area with the second sequence arrangement as a reference line, acquiring a deflection angle of the form center point of the third sequence arrangement of the reference line, and acquiring a deflection distance of the form center point of the reference selected area in a topological coverage circle of the form center point of the reference selected area;
the deflection angle and the deflection distance are obtained according to the following formula:
wherein ω is a deflection angle, L is a deflection distance, b is a distance from a morphology center point of the second region of the sequence row to a morphology center point of the reference selected region, c is a distance from a morphology center point of the third region of the sequence row to a morphology center point of the reference selected region, and x is a radius of a topology coverage circle of the reference selected region;
the appropriate points for the temperature wireless sensor are: a third regional form center point omega is ranked in a deflection sequence by taking the datum line as a starting point, and a point which is away from a form center point L of the datum selected region; the method comprises the following steps of obtaining suitable points of the humidity wireless sensor around the transformer: a group of humidity sensors are arranged in the circumferential range of the transformer; operating the transformer from a stationary state within a nominal time; acquiring a humidity change chart of the transformer in a rated time in real time; obtaining a region with humidity change reaching a threshold ratio in the operation process of the transformer according to a group of continuous humidity change graphs; acquiring corresponding selected areas, and performing sequential ranking according to the humidity change range of each area; taking the area with the largest humidity change range as a reference selected area, covering and acquiring form center points of each selected area by using a circular topology, and acquiring distances from other different form center points to the form center points of the reference selected area; taking a connecting line of the form center point of the reference selected area and the form center point of the area with the second sequence arrangement as a reference line, acquiring a deflection angle of the form center point of the third sequence arrangement of the reference line, and acquiring a deflection distance of the form center point of the reference selected area in a topological coverage circle of the form center point of the reference selected area;
the deflection angle and the deflection distance are obtained according to the following formula:
wherein omega ， For the deflection angle L ， B is the distance from the shape central point of the second area of the sequence row to the shape central point of the reference selected area, c is the distance from the shape central point of the third area of the sequence row to the shape central point of the reference selected area, and x is the radius of the topology coverage circle of the reference selected area;
the fitness point of the humidity wireless sensor is: the third regional form center point omega is ranked in a deflection sequence by taking the datum line as a starting point ， From the form center point L of the reference selected area ， Is a point of (2).
As a preferable scheme of the intelligent power distribution network management system based on the wireless communication network, the invention comprises the following steps: carrying out data analysis and fault prediction on the transformer, and judging whether the transformer has faults based on analysis results specifically comprises the following steps:
acquiring a current alpha at an input side, a current beta at an output side, a voltage gamma at the input side and a voltage epsilon at the output side based on the signal data set;
a calculation processor in the central control center acquires rated power of an input side and rated power of an output side of the transformer in the current stage in real time;
acquiring a rated power difference value proportion threshold value of an input side and a rated power difference value of an output side, and when the difference value proportion threshold value is higher than a set value, judging whether the transformer is abnormal or not by the central control center, and further acquiring whether the configured wireless sensor operates normally or not;
wherein, the specific formula is calculated as follows:
as a preferable scheme of the intelligent power distribution network management system based on the wireless communication network, the invention comprises the following steps: the difference ratio threshold is defined as 0.05.
As a preferable scheme of the intelligent power distribution network management system based on the wireless communication network, the invention comprises the following steps: when the transformer judges that the abnormality occurs, the central control center further acquires whether the configured wireless sensor operates normally or not specifically as follows: judging whether the current wireless sensors arranged on the input side and the output side of the transformer are normal or not through the current alpha on the input side and the current beta on the output side of the transformer; judging whether the voltage wireless sensors arranged on the input side and the output side of the transformer are normal or not through the voltage gamma of the input side and the voltage epsilon of the output side of the transformer; judging whether the acquired data of the temperature wireless sensors arranged around the transformer are normal or not according to the temperature change signal value delta of the selected area around the transformer; judging whether the collected data of humidity wireless sensors arranged around the transformer are normal or not according to the humidity change signal value zeta of the selected area around the transformer;
the method specifically comprises the following steps of: acquiring the number of turns of windings on the input side and the output side of the transformer; acquiring a proportional relation between the voltage gamma of the input side and the voltage epsilon of the output side based on the number of winding turns; comparing the ratio of the voltage at the input side to the voltage at the output side, and the number of turns of the winding at the output side to the number of turns of the winding at the input side; when the ratio difference value of the two is within the threshold value range, the voltage wireless sensor can be defined as normal; synchronously acquiring two ratios of the current wireless sensor or acquiring the two ratios of the current wireless sensor by matching double-side rated power with double-side voltage, and defining the current wireless sensor as normal when the difference value of the two ratios is within a threshold range;
wherein, the temperature wireless sensor is specifically: the calculation processor counts and acquires a temperature time change chart of the reference selected area in rated time; acquiring derivatives of all points in the temperature time change diagram; acquiring derivative changes between adjacent points; counting whether adjacent points with the derivative change range higher than a threshold value are stored in the derivative change, and judging that the temperature wireless sensor is abnormal when corresponding points exist;
wherein, the humidity wireless sensor is specifically: the calculation processor counts and acquires a humidity time change chart of the reference selected area in rated time; acquiring derivatives of all points in the humidity time change chart; acquiring derivative changes between adjacent points; and counting whether adjacent points with the derivative change range higher than the threshold value are stored in the derivative change, and judging that the humidity wireless sensor is abnormal when corresponding points are present.
As a preferable scheme of the intelligent power distribution network management system based on the wireless communication network, the invention comprises the following steps: setting a derivative change threshold between adjacent points of the temperature time change graph to be 0.1-0.3; and setting a derivative change threshold between adjacent points of the humidity time change graph to be 0.1-0.5.
The invention has the beneficial effects that: compared with the prior art, the intelligent power distribution network management system based on the wireless communication network firstly makes layout limitation for the current wireless sensor and the voltage wireless sensor, can better hold the optimal layout point position of the sensor under the limited sensor supply cost, improves the accuracy of sensor data detection, meanwhile, judges whether the transformer is abnormal or not through comparison between the rated power of the input side and the rated power of the output side, respectively detects the acquisition condition of each point sensor when in an abnormal state, sequentially judges the operation condition of each type of sensor at the corresponding point position, makes accurate judgment for the sensor, and solves the problems that the conventional intelligent power distribution network management system does not make normal judgment for the sensor in real time on one hand, does not make limitation for the specific layout of the sensor on the other hand, and the accuracy of corresponding data acquired by the sensor is to be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a system block diagram of a smart distribution network management system based on a wireless communication network.
Fig. 2 is a schematic diagram of obtaining a suitable point of a wireless sensor for the peripheral configuration temperature of a transformer.
Fig. 3 is a schematic diagram of obtaining a suitable point of a wireless sensor for configuring humidity around a transformer.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
The existing intelligent power distribution network management system does not make corresponding management steps for the accuracy of the sensor and the acquired data thereof, and is specifically characterized in that: on one hand, when the sensor is exposed to outdoor high-load operation for a long time and is easy to damage, the existing system does not judge whether the sensor is normal or not in real time, and on the other hand, the specific layout of the sensor is not limited, and the accuracy of corresponding data acquired by the sensor is to be improved.
Accordingly, referring to fig. 1, the present invention provides a smart distribution network management system based on a wireless communication network, including:
the data acquisition component is provided with corresponding wireless sensors on each key node of the transformer, and corresponding signal data are acquired through each wireless sensor;
the data transmission component is in data connection with the data acquisition component, acquires a signal data set and transmits the signal data set to the central control center;
the central control center is in data connection with the data transmission component, receives and stores the signal data set, performs data analysis and fault prediction on the signal data set, and judges whether the transformer is abnormal or not based on an analysis result;
and when the transformer is judged to be abnormal by combining with the judgment result of the transformer, the central control center further acquires whether the configured wireless sensor operates normally or not.
It should be noted that, each wireless sensor in the present invention is an existing conventional detection sensor, and the transmission process of the data transmission component is an existing wireless technology, including WIFI or RaWAN, etc., and redundant description is not made here.
And the central control center receives the data processing and synchronously completes the data storage. The central control center is an MCU processor.
Specific: a current wireless sensor and a voltage wireless sensor are arranged at a cable interface of an input side and a cable interface of an output side of the transformer to obtain a current alpha of the input side of the transformer, a current beta of the output side of the transformer, a voltage gamma of the input side of the transformer and a voltage epsilon of the output side of the transformer; a temperature wireless sensor is configured around the transformer to obtain a temperature change signal value delta around the transformer; and configuring a humidity wireless sensor around the transformer to obtain a humidity change signal value zeta around the transformer.
After the corresponding data signals are acquired, the corresponding data signals are transmitted to a central control center through a data transmission component for data analysis.
Further, referring to fig. 2, the suitable points of the wireless sensor for the temperature around the transformer are obtained by the following steps:
the thermal imaging temperature instrument is arranged in the circumferential range of the transformer, is an infrared detection temperature instrument, and can acquire the temperature and the temperature change in different areas in real time, so that redundant description is not needed in the prior art;
the transformer is operated from a static state in a rated time, the rated time can be selected to be 24 hours and the like, and the transformer is operated until the normal operation time of the transformer is reached, and 1 day is usually selected as a basic unit;
acquiring a temperature change diagram of the transformer in a rated time in real time;
according to a group of continuous temperature change graphs, obtaining a region of which the temperature change reaches a threshold ratio in the operation process of the transformer, wherein the threshold ratio of the temperature region is generally selected from the region of the first three of the change ranges, the corresponding threshold ratio is the change range of the third of the change ranges, and the method can be directly set, but the actual temperature change is considered, so that the synchronous completion calculation is complicated;
acquiring corresponding selected areas, performing sequential ranking according to the temperature change range of each area, and ranking the areas in the first three of the ranking, wherein compared with the corresponding areas with multiple choices, the mode of selecting the first three of the ranking can reflect the temperature change condition to the greatest extent;
selecting a region with the largest temperature change range as a reference, and obtaining form center points of each selected region by covering with a circular topology to obtain distances from other different form center points to the form center points of the reference selected region;
taking a connecting line of the form center point of the reference selected area and the form center point of the area of the second sequence arrangement as a reference line, acquiring a deflection angle of the form center point of the third sequence arrangement of the reference line, and acquiring a deflection distance of the form center point of the reference selected area in a topological coverage circle of the form center point of the reference selected area;
the deflection angle and deflection distance are obtained according to the following formula:
wherein ω is a deflection angle, L is a deflection distance, b is a distance from a morphology center point of the second region of the sequence row to a morphology center point of the reference selected region, c is a distance from a morphology center point of the third region of the sequence row to a morphology center point of the reference selected region, and x is a radius of a topology coverage circle of the reference selected region;
the appropriate points for the temperature wireless sensor are: and taking the datum line as a starting point, and arranging the third regional form center point omega in a deviation sequence, and separating the third regional form center point omega from the form center point L of the datum selected region.
Still further, referring to fig. 3, the suitable points for configuring the humidity wireless sensor around the transformer are obtained by the following steps:
a group of humidity sensors are arranged in the circumferential range of the transformer, and the temperature sensors are in the prior art and are not redundant;
operating the transformer from a stationary state within a nominal time;
acquiring a humidity change chart of the transformer in real time within a rated time, wherein the rated time can be selected to be 24 hours and the like, and the transformer is operated until the transformer is operated at a normal operation time, and usually 1 day is selected as a basic unit;
obtaining a region with humidity change reaching a threshold ratio in the running process of the transformer according to a group of continuous humidity change graphs, wherein the threshold ratio of the humidity region is generally selected from the region with the first three arranged change ranges, the corresponding threshold ratio is the third arranged change range, and the method can be directly set, but the actual humidity change is considered, so that the synchronous completion calculation is complicated;
acquiring corresponding selected areas, performing sequential ranking according to the humidity change range of each area, and ranking the areas in the first three of the ranking, wherein compared with the corresponding areas with multiple choices, the mode of selecting the first three can reflect the humidity change condition to the greatest extent;
taking the area with the largest humidity change range as a reference selected area, covering and acquiring form center points of each selected area by using a circular topology, and acquiring distances from other different form center points to the form center points of the reference selected area;
taking a connecting line of the form center point of the reference selected area and the form center point of the area of the second sequence arrangement as a reference line, acquiring a deflection angle of the form center point of the third sequence arrangement of the reference line, and acquiring a deflection distance of the form center point of the reference selected area in a topological coverage circle of the form center point of the reference selected area;
the deflection angle and deflection distance are obtained according to the following formula:
wherein omega ， For the deflection angle L ， B is the distance from the shape central point of the second area of the sequence arrangement to the shape central point of the reference selected area, c is the distance from the shape central point of the third area of the sequence arrangement to the shape central point of the reference selected area, and x is the radius of the topology coverage circle of the reference selected area;
the fitness point of the humidity wireless sensor is: starting from the reference line, the third regional form center point omega is ranked in a deflection sequence ， Form center point L from reference selected area ， Is a point of (2).
Specifically, data analysis and fault prediction are carried out on the transformer, and whether the transformer has faults or not is judged based on analysis results specifically as follows:
acquiring a current alpha at an input side, a current beta at an output side, a voltage gamma at the input side and a voltage epsilon at the output side based on a signal data set;
a calculation processor in the central control center acquires rated power of an input side and rated power of an output side of the transformer in the current stage in real time;
acquiring a rated power difference value proportional threshold value of an input side and a rated power of an output side, and when the difference value proportional threshold value is higher than a set value, judging whether the transformer is abnormal or not by the central control center, and further acquiring whether the configured wireless sensor operates normally or not;
wherein, the specific formula is calculated as follows:
wherein the difference ratio threshold is defined as 0.05.
It should be considered that the theory of the rated powers of the two sides is the same, but the same calculation degree is almost impossible in the specific data measurement process, and a difference value within a certain range exists, and when the difference value is within the difference value threshold, the rated powers of the two sides are defined to be in a consistent state.
Furthermore, when the transformer judges that the abnormality occurs, the central control center further obtains whether the configured wireless sensor operates normally or not specifically as follows:
judging whether the current wireless sensors arranged on the input side and the output side of the transformer are normal or not through the current alpha on the input side and the current beta on the output side of the transformer;
judging whether the voltage wireless sensors arranged on the input side and the output side of the transformer are normal or not through the voltage gamma of the input side and the voltage epsilon of the output side of the transformer;
judging whether the acquired data of the temperature wireless sensors arranged around the transformer are normal or not according to the temperature change signal value delta of the selected area around the transformer;
judging whether the collected data of humidity wireless sensors arranged around the transformer are normal or not according to the humidity change signal value zeta of the selected area around the transformer;
the method specifically comprises the following steps of:
acquiring the number of turns of windings on the input side and the output side of the transformer;
acquiring a proportional relation between the voltage gamma of the input side and the voltage epsilon of the output side based on the number of winding turns;
comparing the ratio of the voltage at the input side to the voltage at the output side, and the number of turns of the winding at the output side to the number of turns of the winding at the input side;
when the ratio difference value of the two is within a threshold range, the voltage wireless sensor can be defined as normal, wherein the threshold range can be defined autonomously, the voltage wireless sensor can be preferably selected to be 0.1, the lower the selection is, the higher the precision is, but the higher the calculation degree is;
the two ratios of the current wireless sensor are synchronously acquired, or the two ratios of the current wireless sensor are acquired by matching the double-side rated power with the double-side voltage, when the difference value of the two ratios is within a threshold range, the current wireless sensor can be defined to be normal, the current wireless sensor can be preferentially selected to be 0.3, the other choices can be selected, the lower the choice is, the higher the precision is, but the higher the calculation degree is;
wherein, the temperature wireless sensor is specifically:
the calculation processor counts and acquires a temperature time change diagram of the reference selected area in the rated time;
acquiring derivatives of all points in the temperature time change diagram;
acquiring derivative changes between adjacent points;
counting whether adjacent points with the derivative change range higher than a threshold value are stored in the derivative change, and judging that the temperature wireless sensor is abnormal when corresponding points exist;
wherein, the humidity wireless sensor is specifically:
the calculation processor calculates and acquires a humidity time change chart of the reference selected area in rated time;
acquiring derivatives of all points in the humidity time change diagram;
acquiring derivative changes between adjacent points;
and counting whether adjacent points with the derivative change range higher than the threshold value are stored in the derivative change, and judging that the humidity wireless sensor is abnormal when corresponding points are present.
Further, the derivative change threshold value between adjacent points of the temperature time change graph is set to be 0.1-0.3; the derivative change threshold value between adjacent points of the humidity time change graph is set to be 0.1-0.5.
Compared with the prior art, the intelligent power distribution network management system based on the wireless communication network firstly makes layout limitation for the current wireless sensor and the voltage wireless sensor, can better hold the optimal layout point position of the sensor under the limited sensor supply cost, improves the accuracy of sensor data detection, meanwhile, judges whether the transformer is abnormal or not through comparison between the rated power of the input side and the rated power of the output side, respectively detects the acquisition condition of each point sensor when in an abnormal state, sequentially judges the operation condition of each type of sensor at the corresponding point position, makes accurate judgment for the sensor, and solves the problems that the conventional intelligent power distribution network management system does not make normal judgment for the sensor in real time on one hand, does not make limitation for the specific layout of the sensor on the other hand, and the accuracy of corresponding data acquired by the sensor is to be improved.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (5)
1. Intelligent power distribution network management system based on wireless communication network, characterized by comprising:
the data acquisition component is provided with corresponding wireless sensors on each key node of the transformer, and corresponding signal data are acquired through each wireless sensor;
the data transmission component is in data connection with the data acquisition component, acquires a signal data set and transmits the signal data set to the central control center;
the central control center is in data connection with the data transmission component, receives and stores the signal data set, performs data analysis and fault prediction on the signal data set, and judges whether the transformer is abnormal or not based on an analysis result;
combining the judging result of the transformer, and when the transformer is judged to be abnormal, further acquiring whether the configured wireless sensor operates normally or not by the central control center;
the method comprises the steps that a current wireless sensor and a voltage wireless sensor are arranged at a cable interface of an input side and a cable interface of an output side of a transformer, and current alpha of the input side of the transformer, current beta of the output side of the transformer, voltage gamma of the input side of the transformer and voltage epsilon of the output side of the transformer are obtained; a temperature wireless sensor is configured around the transformer to obtain a temperature change signal value delta around the transformer; configuring a humidity wireless sensor around the transformer to obtain a humidity change signal value zeta around the transformer;
the method comprises the following steps of obtaining suitable points of the wireless sensor around the transformer:
setting a thermal imaging thermometer in the circumferential range of the transformer;
operating the transformer from a stationary state within a nominal time;
acquiring a temperature change diagram of the transformer in a rated time in real time;
obtaining a region of which the temperature change reaches a threshold ratio in the operation process of the transformer according to a group of continuous temperature change graphs;
acquiring corresponding selected areas, and performing sequence ranking according to the temperature change range of each area;
taking the area with the largest temperature change range as a reference selected area, covering and acquiring form center points of each selected area by a circular topology, and acquiring distances from other different form center points to the form center points of the reference selected area;
taking a connecting line of the form center point of the reference selected area and the form center point of the area with the second sequence arrangement as a reference line, acquiring a deflection angle of the form center point of the third sequence arrangement of the reference line, and acquiring a deflection distance of the form center point of the reference selected area in a topological coverage circle of the form center point of the reference selected area;
the deflection angle and the deflection distance are obtained according to the following formula:
；
wherein ω is a deflection angle, L is a deflection distance, b is a distance from a morphology center point of the second region of the sequence row to a morphology center point of the reference selected region, c is a distance from a morphology center point of the third region of the sequence row to a morphology center point of the reference selected region, and x is a radius of a topology coverage circle of the reference selected region;
the appropriate points for the temperature wireless sensor are: a third regional form center point omega is ranked in a deflection sequence by taking the datum line as a starting point, and a point which is away from a form center point L of the datum selected region;
the method comprises the following steps of obtaining suitable points of the humidity wireless sensor around the transformer:
a group of humidity sensors are arranged in the circumferential range of the transformer;
operating the transformer from a stationary state within a nominal time;
acquiring a humidity change chart of the transformer in a rated time in real time;
obtaining a region with humidity change reaching a threshold ratio in the operation process of the transformer according to a group of continuous humidity change graphs;
acquiring corresponding selected areas, and performing sequential ranking according to the humidity change range of each area;
taking the area with the largest humidity change range as a reference selected area, covering and acquiring form center points of each selected area by using a circular topology, and acquiring distances from other different form center points to the form center points of the reference selected area;
taking a connecting line of the form center point of the reference selected area and the form center point of the area with the second sequence arrangement as a reference line, acquiring a deflection angle of the form center point of the third sequence arrangement of the reference line, and acquiring a deflection distance of the form center point of the reference selected area in a topological coverage circle of the form center point of the reference selected area;
the deflection angle and the deflection distance are obtained according to the following formula:
；
wherein omega ， For the deflection angle L ， B is the distance from the shape central point of the second area of the sequence row to the shape central point of the reference selected area, c is the distance from the shape central point of the third area of the sequence row to the shape central point of the reference selected area, and x is the radius of the topology coverage circle of the reference selected area;
the fitness point of the humidity wireless sensor is: the third regional form center point omega is ranked in a deflection sequence by taking the datum line as a starting point ， From the form center point L of the reference selected area ， Is a point of (2).
2. The intelligent power distribution network management system based on the wireless communication network according to claim 1, wherein the data analysis and the fault prediction are performed on the intelligent power distribution network management system, and the judging whether the transformer has a fault based on the analysis result is specifically:
acquiring a current alpha at an input side, a current beta at an output side, a voltage gamma at the input side and a voltage epsilon at the output side based on the signal data set;
a calculation processor in the central control center acquires rated power of an input side and rated power of an output side of the transformer in the current stage in real time;
acquiring a rated power difference value proportion threshold value of an input side and a rated power difference value of an output side, and when the difference value proportion threshold value is higher than a set value, judging whether the transformer is abnormal or not by the central control center, and further acquiring whether the configured wireless sensor operates normally or not;
wherein, the specific formula is calculated as follows:
。
3. the intelligent distribution network management system based on wireless communication network according to claim 2, wherein: the difference ratio threshold is defined as 0.05.
4. The intelligent distribution network management system based on wireless communication network according to claim 3, wherein when the transformer is judged to be abnormal, the central control center further obtains whether the configured wireless sensor is operating normally, specifically:
judging whether the current wireless sensors arranged on the input side and the output side of the transformer are normal or not through the current alpha on the input side and the current beta on the output side of the transformer;
judging whether the voltage wireless sensors arranged on the input side and the output side of the transformer are normal or not through the voltage gamma of the input side and the voltage epsilon of the output side of the transformer;
judging whether the acquired data of the temperature wireless sensors arranged around the transformer are normal or not according to the temperature change signal value delta of the selected area around the transformer;
judging whether the collected data of humidity wireless sensors arranged around the transformer are normal or not according to the humidity change signal value zeta of the selected area around the transformer;
the method specifically comprises the following steps of:
acquiring the number of turns of windings on the input side and the output side of the transformer;
acquiring a proportional relation between the voltage gamma of the input side and the voltage epsilon of the output side based on the number of winding turns;
comparing the ratio of the voltage at the input side to the voltage at the output side, and the number of turns of the winding at the output side to the number of turns of the winding at the input side;
when the ratio difference value of the two is within the threshold value range, the voltage wireless sensor can be defined as normal;
synchronously acquiring two ratios of the current wireless sensor or acquiring the two ratios of the current wireless sensor by matching double-side rated power with double-side voltage, and defining the current wireless sensor as normal when the difference value of the two ratios is within a threshold range;
wherein, the temperature wireless sensor is specifically:
the calculation processor counts and acquires a temperature time change chart of the reference selected area in rated time;
acquiring derivatives of all points in the temperature time change diagram;
acquiring derivative changes between adjacent points;
counting whether adjacent points with the derivative change range higher than a threshold value are stored in the derivative change, and judging that the temperature wireless sensor is abnormal when corresponding points exist;
wherein, the humidity wireless sensor is specifically:
the calculation processor counts and acquires a humidity time change chart of the reference selected area in rated time;
acquiring derivatives of all points in the humidity time change chart;
acquiring derivative changes between adjacent points;
and counting whether adjacent points with the derivative change range higher than the threshold value are stored in the derivative change, and judging that the humidity wireless sensor is abnormal when corresponding points are present.
5. The intelligent distribution network management system based on wireless communication network according to claim 4, wherein: setting a derivative change threshold between adjacent points of the temperature time change graph to be 0.1-0.3; and setting a derivative change threshold between adjacent points of the humidity time change graph to be 0.1-0.5.
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