CN117977582A - Real-time monitoring method for transformer substation load based on digital twin technology - Google Patents
Real-time monitoring method for transformer substation load based on digital twin technology Download PDFInfo
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Abstract
The invention discloses a real-time monitoring method of transformer substation load based on digital twin technology, which belongs to the technical field of transformer substation load monitoring, and comprises the following steps of firstly, establishing a virtual model based on digital twin technology; step two, setting a data acquisition module on each node of the virtual model according to the layout of the substation power system, wherein the data acquisition module is used for acquiring power load data generated in each node interval; and thirdly, analyzing the acquired electricity load data so as to judge the electricity load condition of each node section and alarming the abnormal condition. According to the invention, the potential abnormal conditions of the electricity load in the detection zone can be analyzed and pre-warned according to the historical electricity load and the detected electricity load condition, so that the equipment is prevented from being in a pseudo-high electricity load state for a long time, the power equipment is protected, the loss of the equipment is reduced, and the safety and stability of the whole system are ensured.
Description
Technical Field
The invention belongs to the technical field of transformer substation load monitoring, and particularly relates to a transformer substation load real-time monitoring method based on a digital twin technology.
Background
Digital twin substations refer to a technology that simulates and replicates the individual components and operating states of an actual substation using advanced digital techniques. The method digitizes information such as physical equipment, electrical parameters, running states and the like of an actual transformer substation through mathematical modeling and simulation technology to form a virtual model completely consistent with the actual transformer substation. Through the digital twin technology, the operation data and state information of the transformer substation can be obtained in real time, and the operation condition of the power grid can be analyzed and evaluated.
The existing monitoring of the power consumption load of the transformer substation is to monitor the power consumption load in real time, an alarm occurs after the power consumption load exceeds a set alarm threshold, an allowable out-of-tolerance value range is set during monitoring of the power consumption load of the transformer substation, and the load change is not in the allowable range, but if the load is always in the range for a long time, the equipment is always in an overload working environment for a long time, and adverse effects are caused on the power equipment.
Disclosure of Invention
The invention aims to provide a real-time monitoring method for the load of a transformer substation based on a digital twin technology, which is used for solving the problems faced in the background technology.
The aim of the invention can be achieved by the following technical scheme:
a method for monitoring the load of a transformer substation in real time based on a digital twin technology, the method comprising:
Firstly, establishing a virtual model based on a digital twin technology, digitally representing each component of a power grid, and synchronizing with the actually operated power grid in real time so as to reflect the operation state of the power grid on the virtual model;
step two, setting a data acquisition module on each node of the virtual model according to the layout of the substation power system, wherein the data acquisition module is used for acquiring power load data generated in each node interval;
thirdly, analyzing the acquired electricity load data in real time and analyzing by combining the historical electricity load data, so as to judge the electricity load condition of each node section and alarm the abnormal condition;
and fourthly, detecting equipment in the abnormal node interval according to the alarm signal, and finding out equipment with potential safety hazards.
Further, the method for analyzing the electricity load in real time in the third step comprises the following steps:
Collecting the power load of each node When it exceeds the standard electricity load threshold value preset by the system/>And if the power consumption load is abnormal, judging the power consumption load to generate an alarm signal.
Further, the method for analyzing the electricity load by combining the historical data in the third step comprises the following steps:
In the detection period Obtaining a power load time-varying curve/>, of each node in time；
By the formulaSolving a risk coefficient S;
the obtained risk coefficient S and a standard risk threshold coefficient preset by the system Comparison was performed:
when S > When the power consumption load is abnormal, generating an alarm signal;
Wherein, Standard power load time-dependent curve preset for system,/>For the change curve of the electricity load with time in the same detection period of history,/>To detect the start time,/>Is an influencing factor.
Further, the third step further includes: and judging the electricity stability of the whole power system according to the electricity load conditions in each node interval.
Further, the method for judging the power stability of the power system comprises the following steps:
acquiring risk coefficients in each node interval And a standard risk threshold coefficient/>, preset in each node intervalThereby obtaining the variation value/>, of each node intervalWherein/>；
By the formulaCalculate the equalization value/>；
Wherein,，i∈/>I is the number of node intervals;
the equalization value to be obtained Conditions and system preset equalization threshold/>Comparison is performed:
When (when) ＞/>When the power system is in a power-on state, the power stability of the power system is poor;
Otherwise, the power system is indicated to have better electricity stability.
Further, the method for detecting the device in the fourth step includes:
In the detection period In the time, acquiring a temperature change curve/>, along with time, of each device in the node interval；
By the formulaSolving for the temperature deviation value/>, of each device；
Wherein,，Wherein/>A standard temperature time-varying curve of each device preset for the system;
Device temperature deviation value to be obtained Standard threshold preset with system/>Comparing;
If it is ∈/>Indicating that the equipment has potential safety hazard.
Further, the alarm signal comprises a primary alarm signal and a secondary alarm signal;
When it occurs ∈/>Or S.epsilon/>Generating a first-level alarm signal in one or more conditions;
When it occurs ∈/>Or S.epsilon/>Generating a secondary alarm signal when one or more conditions exist in the system;
Wherein, Standard power load threshold value preset for system,/>And presetting a standard risk threshold coefficient for the system.
Further, the primary alarm signal is to send alarm information on the virtual model, and the secondary alarm signal is to send alarm information on the virtual model and alarm at the corresponding node interval.
The invention has the beneficial effects that:
According to the invention, through analyzing the power consumption load data, real-time alarm can be carried out on the node interval exceeding the preset range of the power consumption load, and abnormal conditions can be found timely; meanwhile, the potential abnormal condition can be alarmed, and the equipment can be prevented from being in an overload working condition all the time; and equipment with potential safety hazards can be found out according to the alarm information to replace and maintain so as to ensure the stability and safety of the whole power system.
According to the invention, comprehensive analysis can be performed according to the historical power consumption load and the detected power consumption load condition, and analysis and early warning are performed on the potential abnormal condition of the power consumption load in the detection section, so that the equipment is prevented from being in a pseudo high power consumption load state for a long time, the power equipment is protected, the loss of the equipment is reduced, and the safety and stability of the whole system are ensured.
According to the invention, comprehensive analysis can be performed according to the temperature change difference between the single equipment and the whole equipment and the condition between the single temperature and the standard temperature difference, so as to judge whether the temperature change of the equipment is abnormal, thereby timely finding out abnormal or failed equipment for maintenance and replacement, and eliminating potential safety hazards.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is 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.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In one embodiment, a method for monitoring the load of a transformer substation in real time based on a digital twin technology is disclosed, as shown in fig. 1, and the method comprises the following steps:
Firstly, establishing a virtual model based on a digital twin technology, digitally representing each component of a power grid, and synchronizing with the actually operated power grid in real time so as to reflect the operation state of the power grid on the virtual model;
step two, setting a data acquisition module on each node of the virtual model according to the layout of the substation power system, wherein the data acquisition module is used for acquiring power load data generated in each node interval;
thirdly, analyzing the acquired electricity load data in real time and analyzing by combining the historical electricity load data, so as to judge the electricity load condition of each node section and alarm the abnormal condition;
and fourthly, detecting equipment in the abnormal node interval according to the alarm signal, and finding out equipment with potential safety hazards.
Through the technical scheme, the running state of the transformer substation is reflected on the virtual model through the digital twin technology, so that the power consumption load data can be acquired more intuitively, the whole power transmission network management can be visually, knowably and controllably controlled, then the power consumption data is analyzed, the node section exceeding the preset range of the power consumption load can be alarmed in real time, the abnormal condition can be timely found, the potential abnormal condition can be alarmed, the equipment can be prevented from being always in the overload working condition, and meanwhile, the equipment with potential safety hazards can be found out according to the alarm information to be replaced and maintained, so that the stability and safety of the whole power system are ensured.
As one embodiment of the present invention, the method for analyzing the electricity load in real time in the third step includes:
Collecting the power load of each node When it exceeds the standard electricity load threshold value preset by the system/>And if the power consumption load is abnormal, judging the power consumption load to generate an alarm signal.
Through the technical scheme, the embodiment provides a real-time early warning method, which specifically indicates that the power consumption load is abnormal at the moment after exceeding the running maximum variation range, and immediately generates an alarm to remind operators to check, so that the safety of a system is ensured, and the standard power consumption load threshold value preset by the system is providedThe drawing up can be based on historical electricity usage status data.
As one embodiment of the present invention, the method for analyzing the electricity load by combining the history data in the third step includes:
In the detection period Obtaining a power load time-varying curve/>, of each node in time；
By the formulaSolving a risk coefficient S;
the obtained risk coefficient S and a standard risk threshold coefficient preset by the system Comparison was performed:
when S > When the power consumption load is abnormal, generating an alarm signal;
Wherein, Standard power load time-dependent curve preset for system,/>For the change curve of the electricity load with time in the same detection period of history,/>To detect the start time,/>Is an influencing factor.
Through the above technical solution, the present embodiment provides a method for judging a potential problem of an electrical load, because when a general transformer substation monitors the electrical load, an alarm threshold is set, an alarm will occur only after the electrical load exceeds the alarm threshold, and if the electrical load is always close to the alarm threshold, although no alarm is generated, the electrical load will affect devices in a node section for a long time, so the present solution is first in a detection periodWithin the time, detection period/>The power load change curve/>, with time, of each node can be obtained by manually dividing according to experienceThen through the formulaThe risk factor S is found, as can be seen from the formula, in whichExpressed as the difference between the historical node interval electrical load conditions and the standard electrical load conditions,/>Indicating the difference between the detected periodic interval electricity load condition and the standard electricity load condition, it is apparent that the larger the difference is, the higher the possibility of occurrence of abnormality of the electricity load is, and therefore the formula/>Comprehensively analyzing according to the historical power consumption load and the detected power consumption load condition to obtain a risk coefficient S, and combining the obtained risk coefficient S with a standard risk threshold coefficient/>For comparison, when S >/>And when the electric equipment in the interval is in a pseudo-high electric load state, indicating that the electric load is abnormal, alarming and reminding an operator to check. Through the operation, comprehensive analysis can be performed according to the historical power utilization load and the detected power utilization load condition, and analysis and early warning are performed on the potential abnormal condition of the power utilization load in the detection section so as to avoid the equipment from being in a pseudo high power utilization load state for a long time, thereby protecting the power equipment and ensuring the stability of the whole system.
In the technical scheme, the standard power consumption load change curve preset by the system along with timeStandard risk threshold coefficient/>The method can be used for carrying out comprehensive drafting according to the historical data of the equipment in the node interval and the power consumption data of the related equipment in the big data, and influencing factors/>The setting is performed according to the environmental conditions at the time of detection, and will not be described here.
As an embodiment of the present invention, the third step further includes: according to the power load conditions in each node interval, the power stability condition of the whole power system is judged, and the method for judging the power stability of the power system comprises the following steps:
acquiring risk coefficients in each node interval And a standard risk threshold coefficient/>, preset in each node intervalThereby obtaining the variation value/>, of each node intervalWherein/>；
By the formulaCalculate the equalization value/>；
Wherein,，i∈/>I is the number of node intervals;
the equalization value to be obtained Conditions and system preset equalization threshold/>Comparison is performed:
When (when) ＞/>When the power system is in a power-on state, the power stability of the power system is poor;
Otherwise, the power system is indicated to have better electricity stability.
Through the above technical solution, the present embodiment provides a method for determining the electricity stability of the whole system, because the risk condition of each node interval and the preset risk threshold coefficient are different, the risk coefficient in each node interval is firstly obtained, and compared with the standard risk threshold coefficient preset in each node interval to obtain the variation value of each node interval, and the variation value of each node interval is analyzed by the formulaCalculate the equalization value/>As can be seen from the formula, when the fluctuation value in each node interval is closer, the equalization value C is smaller, which means that the whole circuit system is more balanced, so that the electricity utilization stability of the whole power system is better, and the obtained equalization value/>Conditions and system preset equalization threshold/>The comparison is performed, and the equalization threshold preset by the system can be fitted according to the historical data: when/>＞/>And if not, the power system has better power stability. Through the operation, the electricity stability of the whole circuit system can be well judged, so that the system stability condition can be timely judged, and the whole system is maintained and modified, so that the running stability of the whole power system is ensured, and the occurrence of subsequent accidents is reduced.
As an embodiment of the present invention, the method for detecting the device in the fourth step includes:
In the detection period In the time, acquiring a temperature change curve/>, along with time, of each device in the node interval；
By the formulaSolving for the temperature deviation value/>, of each device；
Wherein,，Wherein/>Standard temperature change curves of various devices preset for the system along with time, j is the number of the devices,/>/>Is a proportionality coefficient;
Device temperature deviation value to be obtained Standard threshold preset with system/>Comparing;
If it is ∈/>Indicating that the equipment has potential safety hazard.
Through the technical scheme, the implementation provides a specific method for detecting equipment and judging whether potential safety hazards exist or not, and the specific method is characterized by comprising the following steps ofDetermining the temperature deviation value of the equipment, and judging，/>From the formula it is seen/>It can be seen that during the detection period/>In which the individual device temperature change values of the individual devices differ from the state of all device temperature change values, and the formula/>It can be seen that at the current time point/>The difference between the individual device temperature change and all device temperature change conditions is then combined with the formula/>Judging the temperature consistency of all the devices in the node interval, and when the temperature of the single device is relatively high and the temperature change of the devices is large, indicating that the probability of the problem of the devices is higher; and formula/>It can be expressed that the greater the difference between the device temperature and the standard temperature, the greater the likelihood of the device experiencing a problem, the more differential conditions of the temperature of the respective devices relative to the standard temperature change over the detection period; thus by the formula/>Comprehensively judging to obtain the temperature deviation value/>, of each deviceObviously when/>∈/>And when the temperature of the equipment exceeds the standard threshold temperature, the equipment is considered to have large temperature change, and potential safety hazards exist, so that maintenance and replacement are needed. Through the control, the comprehensive analysis can be performed according to the temperature difference between the single equipment and the whole equipment and the condition between the single temperature and the standard temperature difference, so as to judge whether the temperature change of the equipment is abnormal, thereby timely finding out the fault equipment to repair and replace so as to eliminate potential safety hazards.
In the above technical solution, the standard temperature change curve of each device preset by the system along with timeAccording to historical data and relevant equipment running state data in big data, drawing up, and determining the standard threshold temperature/>Scaling factor/>、/>The selective development is based on empirical data and is not described in any great detail herein.
As one embodiment of the present invention, the alarm signal includes a primary alarm signal and a secondary alarm signal;
When it occurs ∈/>Or S.epsilon/>Generating a first-level alarm signal in one or more conditions;
When it occurs ∈/>Or S.epsilon/>Generating a secondary alarm signal when one or more conditions exist in the system;
Wherein, Standard power load threshold value preset for system,/>A standard risk threshold coefficient preset for the system;
the first-level alarm signal is used for sending alarm information on the virtual model, and the second-level alarm signal is used for giving an alarm in a corresponding node interval while sending alarm information on the virtual model.
Through above-mentioned technical scheme, because alarm signal takes place the time, emergency is different, and the dangerous degree is different, takes place the back of reporting to the police, and the operation personnel does not know the dangerous degree of reporting to the police to can miss best remedy time, easily cause a large amount of irrecoverable damage, consequently this embodiment is graded the warning, the emergency degree of the warning of the very first time understanding of the operation personnel of being convenient for that like this can be better, the concrete method is: when (when)∈/>When, or S.epsilon/>When the power supply system is in a power supply state, the power supply system can be used for generating a first-level alarm signal, namely only sending alarm information on a virtual model to remind operators of checking the power load condition, although the alarm is generated at the moment; when/>∈/>When, or S epsilonWhen the method is used, the dangerous degree of the alarm is considered to be higher, a secondary alarm signal is generated, at the moment, the alarm information is sent out on the virtual model, meanwhile, the alarm is carried out in the corresponding node interval, the alarm can be an alarm, or the voice alarm is carried out, the user needs to check immediately in the past, and some emergency measures need to be taken to reduce the loss. Through the operation, the operator can timely carry out corresponding emergency measures on the alarm area according to the alarm condition, so that the safety of the operator and property is ensured.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.
Claims (8)
1. The method for monitoring the load of the transformer substation in real time based on the digital twin technology is characterized by comprising the following steps of:
Firstly, establishing a virtual model based on a digital twin technology, digitally representing each component of a power grid, and synchronizing with the actually operated power grid in real time so as to reflect the operation state of the power grid on the virtual model;
step two, setting a data acquisition module on each node of the virtual model according to the layout of the substation power system, wherein the data acquisition module is used for acquiring power load data generated in each node interval;
thirdly, analyzing the acquired electricity load data in real time and analyzing by combining the historical electricity load data, so as to judge the electricity load condition of each node section and alarm the abnormal condition;
and fourthly, detecting equipment in the abnormal node interval according to the alarm signal, and finding out equipment with potential safety hazards.
2. The method for monitoring the load of the transformer substation in real time based on the digital twin technology according to claim 1, wherein the method for analyzing the power consumption load in real time in the third step is as follows:
Collecting the power load of each node When it exceeds the standard electricity load threshold value preset by the system/>And if the power consumption load is abnormal, judging the power consumption load to generate an alarm signal.
3. The method for monitoring the load of the transformer substation in real time based on the digital twin technology according to claim 2, wherein the method for analyzing the power consumption load by combining the historical data in the third step is as follows:
In the detection period Obtaining a power load time-varying curve/>, of each node in time；
By the formulaSolving a risk coefficient S;
the obtained risk coefficient S and a standard risk threshold coefficient preset by the system Comparison was performed:
when S > When the power consumption load is abnormal, generating an alarm signal;
Wherein, Standard power load time-dependent curve preset for system,/>For the change curve of the electricity load with time in the same detection period of history,/>To detect the start time,/>Is an influencing factor.
4. The method for monitoring the load of a transformer substation in real time based on the digital twin technology according to claim 3, wherein the third step further comprises: and judging the electricity stability of the whole power system according to the electricity load conditions in each node interval.
5. The method for monitoring the load of the transformer substation in real time based on the digital twin technology according to claim 4, wherein the method for judging the electricity stability condition is as follows:
acquiring risk coefficients in each node interval And standard risk threshold coefficients preset in each node intervalThereby obtaining the variation value/>, of each node intervalWherein/>；
By the formulaCalculate the equalization value/>；
Wherein,，i∈/>I is the number of node intervals;
the equalization value to be obtained Conditions and system preset equalization threshold/>Comparison is performed:
When (when) ＞/>When the power system is in a power-on state, the power stability of the power system is poor;
Otherwise, the power system is indicated to have better electricity stability.
6. The method for monitoring the load of the transformer substation in real time based on the digital twin technology according to claim 5, wherein the method for detecting the equipment in the fourth step is as follows:
In the detection period In the time, acquiring a temperature change curve/>, along with time, of each device in the node interval；
By the formulaSolving for the temperature deviation value/>, of each device；
Wherein,，Wherein/>A standard temperature time-varying curve of each device preset for the system;
Device temperature deviation value to be obtained Standard threshold preset with system/>Comparing;
If it is ∈/>Indicating that the equipment has potential safety hazard.
7. The method for monitoring the load of the transformer substation in real time based on the digital twin technology according to claim 6, wherein the alarm signals comprise a primary alarm signal and a secondary alarm signal;
When it occurs ∈/>Or S.epsilon/>Generating a first-level alarm signal in one or more conditions;
When it occurs ∈/>Or S.epsilon/>Generating a secondary alarm signal when one or more conditions exist in the system;
Wherein, Standard power load threshold value preset for system,/>And presetting a standard risk threshold coefficient for the system.
8. The method for monitoring the load of the transformer substation in real time based on the digital twin technology according to claim 7, wherein the primary alarm signal is alarm information sent out on a virtual model;
The secondary alarm signal gives an alarm in the corresponding node interval while sending alarm information on the virtual model.
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| US20240014662A1 (en) * | 2021-12-09 | 2024-01-11 | Warner Denis PRIEST | System for collecting, generating, and transmitting gigawatt scale energy from a plurality of distributed sources dispersed over an area |
| CN117543822A (en) * | 2023-11-17 | 2024-02-09 | 云南电网有限责任公司红河供电局 | Monitoring system for intelligent substation relay protection equipment |
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