CN117856441A - Smart power grid transmission delay optimization method and system - Google Patents

Smart power grid transmission delay optimization method and system Download PDF

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Publication number
CN117856441A
CN117856441A CN202311743508.6A CN202311743508A CN117856441A CN 117856441 A CN117856441 A CN 117856441A CN 202311743508 A CN202311743508 A CN 202311743508A CN 117856441 A CN117856441 A CN 117856441A
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transmission
data transmission
time
data
information
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余丹
兰雨晴
张雨佳
李森
王丹星
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China Standard Intelligent Security Technology Co Ltd
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China Standard Intelligent Security Technology Co Ltd
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Abstract

The invention provides a method and a system for optimizing transmission delay of a smart grid. The intelligent power grid transmission delay optimization method comprises the following steps: acquiring transmission time information of the smart grid in real time; comparing the transmission time information of the intelligent power grid with a preset transmission time demand index, and judging whether the transmission time information of the intelligent power grid meets the requirement of the transmission time demand index or not; and when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, detecting the communication network, acquiring a detection result, and simultaneously, sending the detection result to an operation and maintenance personnel terminal for operation and maintenance reminding. The system comprises modules corresponding to the method steps.

Description

Smart power grid transmission delay optimization method and system
Technical Field
The invention provides a method and a system for optimizing transmission delay of a smart power grid, and belongs to the technical field of delay optimization of smart power grids.
Background
In conventional power systems, data transmission is often dependent on a centralized data center, which can lead to high communication latency, network congestion, and data security issues. Furthermore, conventional power grids often lack real-time decision support, which is difficult to handle with complex power requirements and distributed energy resources. These problems limit the reliability and sustainability of the power system. The current power equipment terminals are mainly communicated through an information interaction system formed by optical fibers, and as the density of terminal access is higher and higher, the problems of architecture design and cost of the optical fibers are difficult to solve. The 5G wireless communication technology is expected to solve the problems, however, the problems of higher time delay and poorer time delay symmetry exist in the application scene of the smart grid.
Disclosure of Invention
The invention provides a method and a system for optimizing transmission delay of a smart power grid, which are used for solving the problems of higher delay and poorer delay symmetry in the application scene of the smart power grid in the prior art, and adopts the following technical scheme:
the utility model provides a smart grid transmission delay optimization method, which comprises the following steps:
acquiring transmission time information of the smart grid in real time;
comparing the transmission time information of the intelligent power grid with a preset transmission time demand index, and judging whether the transmission time information of the intelligent power grid meets the requirement of the transmission time demand index or not;
and when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, detecting the communication network, acquiring a detection result, and simultaneously, sending the detection result to an operation and maintenance personnel terminal for operation and maintenance reminding.
Further, the real-time collection of the transmission time information of the smart grid includes:
setting a data transmission monitoring time period; the data transmission monitoring time period is obtained through the following formula:
T=(1+N max /N)×T 0
wherein T representsA data transmission monitoring period; t (T) 0 Representing a preset data transmission monitoring time period reference value; n (N) max The maximum theoretical value of the occurrence data transmission times transmitted by the smart grid in the time period corresponding to the preset data transmission monitoring time period reference value is represented; n represents the maximum transmission times allowed by the communication load in the time period corresponding to the preset data transmission monitoring time period reference value;
collecting data sending time and data receiving time of the smart grid in the data transmission process in real time in each data transmission monitoring time period;
acquiring data transmission time length information according to the data transmission time and the data receiving time;
acquiring duration change amplitude information of every two adjacent data transmission according to the duration of every data transmission in the data transmission monitoring time period;
the data transmission time information and the time length change amplitude information of every two adjacent data transmission are the transmission time information.
Further, comparing the transmission time information of the smart grid with a preset transmission time requirement index, and judging whether the transmission time information of the smart grid meets the requirement of the transmission time requirement index or not, including:
comparing the data transmission time length with a transmission time requirement index corresponding to the transmitted data;
Judging whether the data transmission time length meets the transmission time requirement index corresponding to the transmitted data according to a transmission quality evaluation principle;
when the data transmission time length does not meet the transmission time requirement index corresponding to the transmitted data, judging the data transmission quality as primary bad;
when the data transmission quality is judged to be primary bad, extracting duration change amplitude information of every two adjacent data transmissions;
acquiring the duration change average amplitude of each two adjacent data transmission in the data transmission monitoring time period according to the duration change amplitude information of each two adjacent data transmission;
comparing the average amplitude of the duration change of every two adjacent data transmission in the data transmission monitoring time period with a preset transmission duration amplitude threshold;
and when the average amplitude of the duration change of every two adjacent data transmissions in the data transmission monitoring time period exceeds a preset transmission duration amplitude threshold, the data transmission quality is poor.
Further, the transmission quality evaluation principle is as follows:
when the time length of the five data parameters continuously appears is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, judging that the data transmission quality is primary bad;
Or (b)
And when the time length of the data parameter which continuously appears 3 times is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, and the time difference between the condition of the time length of the data parameter which continuously appears 3 times next to the time length of the data transmission which continuously appears 3 times and the time length of the data parameter which continuously appears last to the time is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data is lower than 2 data transmission times, judging that the data transmission quality is primary bad.
Further, when the transmission time information of the smart grid does not meet the requirement of the transmission time requirement index, detecting the communication network and obtaining a detection result, and simultaneously, sending the detection result to an operation and maintenance personnel terminal for operation and maintenance reminding, including:
when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, carrying out communication detection on a transmission communication channel between each network transmission node of the intelligent power grid to obtain the data transmission duration of unit transmission data quantity in unit time;
Comparing the data transmission duration with a preset transmission duration threshold, and judging that the current network transmission node has poor communication when the data transmission duration is lower than the preset transmission duration threshold;
and sending the position of the network transmission node with poor communication to an operation and maintenance personnel terminal for operation and maintenance reminding.
A smart grid transmission delay optimization system, the smart grid transmission delay optimization system comprising:
the real-time acquisition module is used for acquiring the transmission time information of the intelligent power grid in real time;
the information comparison module is used for comparing the transmission time information of the intelligent power grid with a preset transmission time requirement index and judging whether the transmission time information of the intelligent power grid meets the requirement of the transmission time requirement index or not;
and the detection result acquisition module is used for detecting the communication network and acquiring a detection result when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, and simultaneously, sending the detection result to the operation and maintenance personnel terminal for operation and maintenance reminding.
Further, the real-time acquisition module includes:
the transmission monitoring time period setting module is used for setting a data transmission monitoring time period; the data transmission monitoring time period is obtained through the following formula:
T=(1+N max /N)×T 0
Wherein T represents a data transmission monitoring period; t (T) 0 Representing a preset data transmission monitoring time period reference value; n (N) max The maximum theoretical value of the occurrence data transmission times transmitted by the smart grid in the time period corresponding to the preset data transmission monitoring time period reference value is represented; n represents the maximum transmission times allowed by the communication load in the time period corresponding to the preset data transmission monitoring time period reference value;
the time information acquisition module is used for acquiring data sending time and data receiving time of the smart grid in the data transmission process in real time in each data transmission monitoring time period;
the data duration information acquisition module is used for acquiring data transmission duration information according to the data sending time and the data receiving time;
the time length change amplitude information acquisition module is used for acquiring time length change amplitude information of every two adjacent data transmission according to the time length of every data transmission in the data transmission monitoring time period;
the data transmission time information and the time length change amplitude information of every two adjacent data transmission are the transmission time information.
Further, the information comparison module includes:
the comparison execution module is used for comparing the data transmission duration with a transmission time requirement index corresponding to the transmitted data;
The demand index judging module is used for judging whether the data transmission time length meets the transmission time demand index corresponding to the transmitted data according to the transmission quality evaluation principle;
the first quality judging module is used for judging that the data transmission quality is primary bad when the data transmission duration does not meet the transmission time requirement index corresponding to the transmitted data;
the amplitude information extraction module is used for extracting duration change amplitude information of every two adjacent data transmission when the data transmission quality is judged to be primary bad;
the average amplitude acquisition module is used for acquiring the average amplitude of the duration change of each two adjacent data transmission in the data transmission monitoring time period according to the duration change amplitude information of each two adjacent data transmission;
the amplitude comparison module is used for comparing the average amplitude of the duration change of every two adjacent data transmission in the data transmission monitoring time period with a preset transmission duration amplitude threshold;
and the second quality judging module is used for judging that the data transmission quality is poor when the average amplitude of the duration change of every two adjacent data transmissions in the data transmission monitoring time period exceeds a preset transmission duration amplitude threshold.
Further, the transmission quality evaluation principle is as follows:
when the time length of the five data parameters continuously appears is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, judging that the data transmission quality is primary bad;
or (b)
And when the time length of the data parameter which continuously appears 3 times is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, and the time difference between the condition of the time length of the data parameter which continuously appears 3 times next to the time length of the data transmission which continuously appears 3 times and the time length of the data parameter which continuously appears last to the time is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data is lower than 2 data transmission times, judging that the data transmission quality is primary bad.
Further, the detection result obtaining module includes:
the transmission time length information acquisition module is used for carrying out communication detection on a transmission communication channel between each network transmission node of the intelligent power grid when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, so as to acquire the data transmission time length of unit transmission data quantity in unit time;
The communication failure judging module is used for comparing the data transmission time length with a preset transmission time length threshold value, and judging that the communication failure exists in the current network transmission node when the data transmission time length is lower than the preset transmission time length threshold value;
and the operation and maintenance reminding module is used for sending the position of the network transmission node with poor communication to an operation and maintenance personnel terminal for operation and maintenance reminding.
The invention has the beneficial effects that:
according to the intelligent power grid transmission delay optimization method and system, the mobile edge computing technology is introduced in order to overcome the defects of a traditional power grid, computing and data storage resources are moved to the power grid edge, and data transmission delay is reduced. Through the analysis of the real-time data, the power grid state, the power demand and the equipment health condition can be better monitored, so that problems can be timely found and decisions can be made. Real-time decisions in the power system, such as load regulation, fault detection and energy distribution, are supported using machine learning and intelligent algorithms. By combining MEC, real-time data analysis and intelligent decision, low-delay transmission of power information is realized, reliability and response speed of a power grid are improved, and the problems of communication delay and efficiency of a traditional power grid are solved. The method has wide application prospect and can be widely applied to the field of intelligent power grids.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a system block diagram of the system of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a method for optimizing the transmission delay of a smart power grid, which is shown in fig. 1 and comprises the following steps:
s1, acquiring transmission time information of a smart grid in real time;
s2, comparing the transmission time information of the intelligent power grid with a preset transmission time demand index, and judging whether the transmission time information of the intelligent power grid meets the requirement of the transmission time demand index or not;
and S3, when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, detecting the communication network, acquiring a detection result, and simultaneously, sending the detection result to an operation and maintenance personnel terminal for operation and maintenance reminding.
The working principle of the technical scheme is as follows: acquiring transmission time information in real time (S1):
the system collects time information related to the data transmission of the smart grid in real time, which may include transmission time of the data packets, delay, data transmission rate, etc.
Comparing the transmission time information with the demand index (S2):
and comparing the acquired transmission time information with a preset transmission time requirement index. These demand indicators may be specific time delay requirements, such as requirements for data to be transmitted to a destination within a certain time.
Detection and alert (S3):
if the transmission time information fails to meet the demand criteria, the system will initiate a detection procedure to determine the root cause of the problem. Detection may include network congestion, faulty devices, packet loss, etc.
The detection result is sent to the operation and maintenance personnel terminal, and an alarm and a reminder are provided to inform the operation and maintenance personnel of the problem and provide relevant information of the problem so that the operation and maintenance personnel can take appropriate measures to solve the problem.
The technical scheme has the effects that: monitoring and reacting in real time: the method allows real-time monitoring of the transmission time performance of the smart grid to ensure that it meets preset demand indicators. This helps to quickly discover and solve any transmission time delay problems.
Early warning: when the transmission time fails to meet the requirement index, the method can provide timely warning and reminding so as to reduce the influence of potential problems on the operation of the power grid.
Optimizing the power grid performance: through continuous monitoring and feedback, the network performance can be optimized by helping power grid operators, the transmission delay is reduced, and the data transmission efficiency is improved.
The technical scheme of the embodiment is beneficial to keeping the high-efficiency operation of the intelligent power grid, ensuring the timely transmission of data and reducing potential operation problems.
In one embodiment of the present invention, collecting transmission time information of a smart grid in real time includes:
s101, setting a data transmission monitoring time period; the data transmission monitoring time period is obtained through the following formula:
T=(1+N max /N)×T 0
wherein T represents a data transmission monitoring period; t (T) 0 Representing a preset data transmission monitoring time period reference value; n (N) max The maximum theoretical value of the occurrence data transmission times transmitted by the smart grid in the time period corresponding to the preset data transmission monitoring time period reference value is represented; n represents the maximum transmission times allowed by the communication load in the time period corresponding to the preset data transmission monitoring time period reference value;
s102, acquiring data sending time and data receiving time of the smart grid in a data transmission process in real time in each data transmission monitoring time period;
s103, obtaining data transmission duration information according to the data sending time and the data receiving time;
S104, acquiring duration change amplitude information of every two adjacent data transmissions according to the duration of every data transmission in the data transmission monitoring time period;
the data transmission time information and the time length change amplitude information of every two adjacent data transmission are the transmission time information.
The working principle of the technical scheme is as follows: setting a data transmission monitoring period (S101):
first, the system sets a data transmission monitoring period, which represents a specific time window for monitoring data transmission. The length of this period is calculated according to a specific formula (given as t= (1+nmax/N) ×t0), where T is a data transmission monitoring period, T0 is a preset data transmission monitoring period reference value, nmax represents the maximum theoretical number of transmissions of the smart grid within this reference period, and N represents the maximum number of transmissions allowed by the communication load.
Data transmission time and data reception time are acquired in real time (S102):
in each data transmission monitoring time period, the system can acquire the data sending time and the data receiving time of the smart grid in the data transmission process in real time. This can be achieved by recording the time stamps of the data packet transmissions and receptions.
Acquiring data transmission time length information (S103):
with the data transmission time and the data reception time acquired, the system calculates the duration of each data transmission, i.e., the time that the data has elapsed from transmission to reception. This will provide the actual time information of the data transmission.
Acquiring duration change amplitude information (S104):
for every two adjacent data transmissions, the system calculates its time-varying amplitude information. This can be obtained by comparing the durations of two adjacent data transmissions to see fluctuations in the transmission time.
The technical scheme has the effects that: monitoring data transmission time in real time: by periodically setting a data transmission monitoring period and collecting data transmission time and data reception time, the system can monitor the condition of the data transmission time in real time.
Knowing the transmission time fluctuations: acquiring the duration change magnitude information allows the system to learn about changes between adjacent data transmission times, helping to identify potential problems or anomalies.
Data analysis and decision support: the collected data transmission duration and duration change information can be used for data analysis and decision support, and are beneficial to optimizing the performance of the intelligent power grid and ensuring timely data transmission.
In one embodiment of the present invention, comparing the transmission time information of the smart grid with a preset transmission time requirement index, and determining whether the transmission time information of the smart grid meets the requirement of the transmission time requirement index includes:
s201, comparing the data transmission time length with a transmission time requirement index corresponding to the transmitted data;
s202, judging whether the data transmission time length meets transmission time requirement indexes corresponding to the transmitted data according to a transmission quality evaluation principle;
s203, when the data transmission time length does not meet the transmission time requirement index corresponding to the transmitted data, judging that the data transmission quality is primary bad;
s204, when the data transmission quality is judged to be primary bad, extracting duration change amplitude information of every two adjacent data transmissions;
s205, acquiring the average amplitude of the duration change of each two adjacent data transmission in the data transmission monitoring time period according to the duration change amplitude information of each two adjacent data transmission;
s206, comparing the average amplitude of the duration change of every two adjacent data transmission in the data transmission monitoring time period with a preset transmission duration amplitude threshold;
And S207, when the average amplitude of the duration change of every two adjacent data transmission in the data transmission monitoring time period exceeds a preset transmission duration amplitude threshold, the data transmission quality is poor.
The transmission quality evaluation principle is as follows:
when the time length of the five data parameters continuously appears is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, judging that the data transmission quality is primary bad;
or (b)
And when the time length of the data parameter which continuously appears 3 times is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, and the time difference between the condition of the time length of the data parameter which continuously appears 3 times next to the time length of the data transmission which continuously appears 3 times and the time length of the data parameter which continuously appears last to the time is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data is lower than 2 data transmission times, judging that the data transmission quality is primary bad.
The reasons for the reduced quality or primary failure of the data transmission may be occasional, such as may be caused by local network fluctuations, after which the short network fluctuations return to normal. If the primary poor transmission quality caused by the accidental factors cannot be accurately identified, and the related results are sent to operation and maintenance personnel, the operation and maintenance personnel can be extruded to check the time when the primary poor transmission quality alarm really exists, the checking speed and quality of the primary poor transmission quality alarm really exist are affected, the operation and maintenance personnel can even question the accuracy of the related alarm for a long time, the related alarm is numb, the alarm with the primary poor transmission quality is missed, and huge potential safety hazards are brought to the system. In order to accurately identify the data transmission quality degradation or primary failure caused by the accidental factors, the following algorithm is adopted:
Step one: after the primary data transmission quality is determined to be primary bad, the following 4 times of data transmission conditions are observed, and the variation range of the observed time length of the 1 st and 2 nd times of data transmission is set as V 1 The observed time length change range of the 2 nd and 3 rd times of transmission is V 2 The observed time length change range of the 3 rd and 4 th times of transmission is V 3 The acceleration of the change amplitude of the time length of the data transmission is as follows:
wherein A is 1 Acceleration for the change of the time length of the 1 st and 2 nd data transmission to the change of the time length of the 2 nd and 3 rd data transmission, A 2 Acceleration from the 2 nd and 3 rd time data transmission time period change amplitude to the 3 rd and 4 th time data transmission time period change amplitude.
Step two: according to the calculation result of the step one, calculating the theoretical transmission time length of the data transmission in the 5 th transmission, wherein the calculation formula is as follows:
wherein T is the theoretical transmission time length in the 5 th transmission, e is a natural constant, 2.71 is taken, T 4 For the 4 th time transmission period.
Step three: according to the calculation result of the second step, whether the preliminary determination of the data transmission quality is the primary failure is accidental or not is judged, and the judgment formula is as follows:
and K (T) is a judging value for judging whether the primary failure is accidental or not according to the primary determination, when the value is 1, the judgment is that the primary failure is accidental according to the primary determination, and when the value is 0, the judgment is that the primary failure is not accidental according to the primary determination, and the detection result is required to be sent to an operation staff. T (T) F And the data transmission time length is regulated corresponding to the transmission time requirement.
The algorithm checks the subsequent 4 times of data transmission conditions after the data transmission quality is initially determined to be primary bad, so as to eliminate the possibility that the initial determination of the data transmission quality is accidental, ensure that the detection result that the true data transmission quality is primary bad is sent to operation and maintenance personnel, and improve the accuracy of related alarms.
The working principle of the technical scheme is as follows: comparing the data transmission duration with the transmission time requirement index (S201):
first, the system compares the acquired data transmission time length with the transmission time requirement index of the transmitted data.
Judging the data transmission time length according to the transmission quality evaluation principle (S202):
the system judges whether the data transmission time length meets the transmission time requirement index according to the transmission quality evaluation principle. This may include whether the transmission duration is within a specified range to ensure that the data arrives in a timely manner.
Determining the data transmission quality as primary poor (S203):
if the data transmission duration does not meet the transmission time requirement index, the system judges the data transmission quality as primary bad, and the data transmission has a problem.
Extracting duration change amplitude information (S204):
when the data transmission quality is judged to be poor in primary, the system can extract duration change amplitude information of every two adjacent data transmissions so as to know the fluctuation condition of the transmission duration in more detail.
Acquiring a duration change average amplitude (S205):
the system calculates the average amplitude of the duration change of every two adjacent data transmissions in the data transmission monitoring time period based on the duration change amplitude information. This may help the system to learn the general trend of data transmission times.
Comparing with a preset transmission duration amplitude threshold (S206):
the obtained average amplitude of the duration change is compared with a preset transmission duration amplitude threshold value so as to further evaluate the data transmission quality.
Determine that the data transmission quality is poor (S207):
if the average amplitude of the duration change of every two adjacent data transmission in the data transmission monitoring time period exceeds a preset transmission duration amplitude threshold, the system judges that the data transmission quality is poor, and the system shows that the transmission duration fluctuation is obvious and cannot meet the transmission time requirement.
The technical scheme has the effects that: monitoring data transmission quality in real time: by comparing the data transmission duration with the transmission time requirement index, the system can monitor the data transmission quality in real time so as to ensure the data to be transmitted in time and meet the requirement.
Problem diagnosis and feedback: if the data transmission quality is judged to be bad, the system can provide feedback information, including duration change amplitude, so that operation and maintenance personnel can be helped to diagnose problems, and the performance of the intelligent power grid is further improved.
In one embodiment of the present invention, when the transmission time information of the smart grid does not meet the requirement of the transmission time requirement index, detecting the communication network and obtaining a detection result, and simultaneously, sending the detection result to an operation and maintenance personnel terminal for operation and maintenance reminding, including:
s301, when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, carrying out communication detection on a transmission communication channel between each network transmission node of the intelligent power grid to obtain the data transmission duration of unit transmission data quantity in unit time;
s302, comparing the data transmission time length with a preset transmission time length threshold, and judging that the current network transmission node has poor communication when the data transmission time length is lower than the preset transmission time length threshold;
and S303, sending the position of the network transmission node with poor communication to an operation and maintenance personnel terminal for operation and maintenance reminding.
The working principle of the technical scheme is as follows: communication detection (S301):
when the transmission time information of the smart grid does not meet the transmission time requirement index, the system can perform communication detection on a transmission communication channel between each network transmission node of the smart grid.
In communication detection, the system obtains the data transmission duration of a unit transmission data amount in a unit time so as to know the data transmission condition of each network transmission node.
Comparing the data transmission time length with a transmission time length threshold (S302):
the system compares the obtained data transmission time length with a preset transmission time length threshold value.
If the data transmission time length is lower than a preset transmission time length threshold value, the system judges that the current network transmission node has poor communication, namely the data transmission time does not meet the requirement.
Operation and maintenance reminding (S303):
once the system determines that network transmission nodes with poor communication exist, the system acquires the position information of the nodes and sends the information to an operation and maintenance personnel terminal to carry out operation and maintenance reminding.
The operation and maintenance personnel can quickly locate the problem node according to the received position information and take necessary measures to solve the problem of poor communication.
The technical scheme has the effects that: real-time problem diagnosis: by detecting the communication transmission nodes in the intelligent power grid, the system can find out nodes with poor communication in real time, namely nodes with data transmission time which does not meet the requirement.
Quick problem solving: the position information of the network transmission node with poor communication is sent to the operation and maintenance personnel terminal, so that the operation and maintenance personnel can be helped to quickly locate the problem node, and corresponding maintenance measures are taken to ensure the normal operation of the intelligent power grid.
The embodiment of the invention provides a transmission delay optimization system of a smart power grid, as shown in fig. 2, comprising:
the real-time acquisition module is used for acquiring the transmission time information of the intelligent power grid in real time;
the information comparison module is used for comparing the transmission time information of the intelligent power grid with a preset transmission time requirement index and judging whether the transmission time information of the intelligent power grid meets the requirement of the transmission time requirement index or not;
and the detection result acquisition module is used for detecting the communication network and acquiring a detection result when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, and simultaneously, sending the detection result to the operation and maintenance personnel terminal for operation and maintenance reminding.
The working principle of the technical scheme is as follows: the system collects time information related to the data transmission of the smart grid in real time, which may include transmission time of the data packets, delay, data transmission rate, etc.
And comparing the acquired transmission time information with a preset transmission time requirement index. These demand indicators may be specific time delay requirements, such as requirements for data to be transmitted to a destination within a certain time.
If the transmission time information fails to meet the demand criteria, the system will initiate a detection procedure to determine the root cause of the problem. Detection may include network congestion, faulty devices, packet loss, etc.
The detection result is sent to the operation and maintenance personnel terminal, and an alarm and a reminder are provided to inform the operation and maintenance personnel of the problem and provide relevant information of the problem so that the operation and maintenance personnel can take appropriate measures to solve the problem.
The technical scheme has the effects that: monitoring and reacting in real time: the method allows real-time monitoring of the transmission time performance of the smart grid to ensure that it meets preset demand indicators. This helps to quickly discover and solve any transmission time delay problems.
Early warning: when the transmission time fails to meet the requirement index, the method can provide timely warning and reminding so as to reduce the influence of potential problems on the operation of the power grid.
Optimizing the power grid performance: through continuous monitoring and feedback, the network performance can be optimized by helping power grid operators, the transmission delay is reduced, and the data transmission efficiency is improved.
The technical scheme of the embodiment is beneficial to keeping the high-efficiency operation of the intelligent power grid, ensuring the timely transmission of data and reducing potential operation problems.
In one embodiment of the present invention, the real-time acquisition module includes:
the transmission monitoring time period setting module is used for setting a data transmission monitoring time period; the data transmission monitoring time period is obtained through the following formula:
T=(1+N max /N)×T 0
wherein T represents a data transmission monitoring period; t (T) 0 Representing a preset data transmission monitoring time period reference value; n (N) max The maximum theoretical value of the occurrence data transmission times transmitted by the smart grid in the time period corresponding to the preset data transmission monitoring time period reference value is represented; n represents the maximum transmission times allowed by the communication load in the time period corresponding to the preset data transmission monitoring time period reference value;
the time information acquisition module is used for acquiring data sending time and data receiving time of the smart grid in the data transmission process in real time in each data transmission monitoring time period;
the data duration information acquisition module is used for acquiring data transmission duration information according to the data sending time and the data receiving time;
the time length change amplitude information acquisition module is used for acquiring time length change amplitude information of every two adjacent data transmission according to the time length of every data transmission in the data transmission monitoring time period;
The data transmission time information and the time length change amplitude information of every two adjacent data transmission are the transmission time information.
The working principle of the technical scheme is as follows: first, the system sets a data transmission monitoring period, which represents a specific time window for monitoring data transmission. The length of this period is calculated according to a specific formula (given as t= (1+nmax/N) ×t0), where T is a data transmission monitoring period, T0 is a preset data transmission monitoring period reference value, nmax represents the maximum theoretical number of transmissions of the smart grid within this reference period, and N represents the maximum number of transmissions allowed by the communication load.
In each data transmission monitoring time period, the system can acquire the data sending time and the data receiving time of the smart grid in the data transmission process in real time. This can be achieved by recording the time stamps of the data packet transmissions and receptions.
With the data transmission time and the data reception time acquired, the system calculates the duration of each data transmission, i.e., the time that the data has elapsed from transmission to reception. This will provide the actual time information of the data transmission.
For every two adjacent data transmissions, the system calculates its time-varying amplitude information. This can be obtained by comparing the durations of two adjacent data transmissions to see fluctuations in the transmission time.
The technical scheme has the effects that: monitoring data transmission time in real time: by periodically setting a data transmission monitoring period and collecting data transmission time and data reception time, the system can monitor the condition of the data transmission time in real time.
Knowing the transmission time fluctuations: acquiring the duration change magnitude information allows the system to learn about changes between adjacent data transmission times, helping to identify potential problems or anomalies.
Data analysis and decision support: the collected data transmission duration and duration change information can be used for data analysis and decision support, and are beneficial to optimizing the performance of the intelligent power grid and ensuring timely data transmission.
In one embodiment of the present invention, the information comparing module includes:
the comparison execution module is used for comparing the data transmission duration with a transmission time requirement index corresponding to the transmitted data;
the demand index judging module is used for judging whether the data transmission time length meets the transmission time demand index corresponding to the transmitted data according to the transmission quality evaluation principle;
the first quality judging module is used for judging that the data transmission quality is primary bad when the data transmission duration does not meet the transmission time requirement index corresponding to the transmitted data;
The amplitude information extraction module is used for extracting duration change amplitude information of every two adjacent data transmission when the data transmission quality is judged to be primary bad;
the average amplitude acquisition module is used for acquiring the average amplitude of the duration change of each two adjacent data transmission in the data transmission monitoring time period according to the duration change amplitude information of each two adjacent data transmission;
the amplitude comparison module is used for comparing the average amplitude of the duration change of every two adjacent data transmission in the data transmission monitoring time period with a preset transmission duration amplitude threshold;
and the second quality judging module is used for judging that the data transmission quality is poor when the average amplitude of the duration change of every two adjacent data transmissions in the data transmission monitoring time period exceeds a preset transmission duration amplitude threshold.
The transmission quality evaluation principle is as follows:
when the time length of the five data parameters continuously appears is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, judging that the data transmission quality is primary bad;
or (b)
And when the time length of the data parameter which continuously appears 3 times is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, and the time difference between the condition of the time length of the data parameter which continuously appears 3 times next to the time length of the data transmission which continuously appears 3 times and the time length of the data parameter which continuously appears last to the time is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data is lower than 2 data transmission times, judging that the data transmission quality is primary bad.
The reasons for the reduced quality or primary failure of the data transmission may be occasional, such as may be caused by local network fluctuations, after which the short network fluctuations return to normal. If the primary poor transmission quality caused by the accidental factors cannot be accurately identified, and the related results are sent to operation and maintenance personnel, the operation and maintenance personnel can be extruded to check the time when the primary poor transmission quality alarm really exists, the checking speed and quality of the primary poor transmission quality alarm really exist are affected, the operation and maintenance personnel can even question the accuracy of the related alarm for a long time, the related alarm is numb, the alarm with the primary poor transmission quality is missed, and huge potential safety hazards are brought to the system. In order to accurately identify the data transmission quality degradation or primary failure caused by the accidental factors, the following algorithm is adopted:
step one: after the primary data transmission quality is determined to be primary bad, the following 4 times of data transmission conditions are observed, and the variation range of the observed time length of the 1 st and 2 nd times of data transmission is set as V 1 The observed time length change range of the 2 nd and 3 rd times of transmission is V 2 The observed time length change range of the 3 rd and 4 th times of transmission is V 3 The acceleration of the change amplitude of the time length of the data transmission is as follows:
wherein A is 1 Acceleration for the change of the time length of the 1 st and 2 nd data transmission to the change of the time length of the 2 nd and 3 rd data transmission, A 2 Acceleration from the 2 nd and 3 rd time data transmission time period change amplitude to the 3 rd and 4 th time data transmission time period change amplitude.
Step two: according to the calculation result of the step one, calculating the theoretical transmission time length of the data transmission in the 5 th transmission, wherein the calculation formula is as follows:
wherein T is the theoretical transmission time length in the 5 th transmission, e is a natural constant, 2.71 is taken, T 4 For the 4 th time transmission period.
Step three: according to the calculation result of the second step, whether the preliminary determination of the data transmission quality is the primary failure is accidental or not is judged, and the judgment formula is as follows:
and K (T) is a judging value for judging whether the primary failure is accidental or not according to the primary determination, when the value is 1, the judgment is that the primary failure is accidental according to the primary determination, and when the value is 0, the judgment is that the primary failure is not accidental according to the primary determination, and the detection result is required to be sent to the monitoring terminal. T (T) F And the data transmission time length is regulated corresponding to the transmission time requirement.
The algorithm checks the subsequent 4 times of data transmission conditions after the data transmission quality is initially determined to be primary bad, so as to eliminate the possibility that the initial determination of the data transmission quality is accidental, ensure that the detection result that the true data transmission quality is primary bad is sent to operation and maintenance personnel, and improve the accuracy of related alarms.
The working principle of the technical scheme is as follows: first, the system compares the acquired data transmission time length with the transmission time requirement index of the transmitted data.
The system judges whether the data transmission time length meets the transmission time requirement index according to the transmission quality evaluation principle. This may include whether the transmission duration is within a specified range to ensure that the data arrives in a timely manner.
If the data transmission duration does not meet the transmission time requirement index, the system judges the data transmission quality as primary bad, and the data transmission has a problem.
When the data transmission quality is judged to be poor in primary, the system can extract duration change amplitude information of every two adjacent data transmissions so as to know the fluctuation condition of the transmission duration in more detail.
The system calculates the average amplitude of the duration change of every two adjacent data transmissions in the data transmission monitoring time period based on the duration change amplitude information. This may help the system to learn the general trend of data transmission times.
The obtained average amplitude of the duration change is compared with a preset transmission duration amplitude threshold value so as to further evaluate the data transmission quality.
If the average amplitude of the duration change of every two adjacent data transmission in the data transmission monitoring time period exceeds a preset transmission duration amplitude threshold, the system judges that the data transmission quality is poor, and the system shows that the transmission duration fluctuation is obvious and cannot meet the transmission time requirement.
The technical scheme has the effects that: monitoring data transmission quality in real time: by comparing the data transmission duration with the transmission time requirement index, the system can monitor the data transmission quality in real time so as to ensure the data to be transmitted in time and meet the requirement.
Problem diagnosis and feedback: if the data transmission quality is judged to be bad, the system can provide feedback information, including duration change amplitude, so that operation and maintenance personnel can be helped to diagnose problems, and the performance of the intelligent power grid is further improved.
In one embodiment of the present invention, the detection result obtaining module includes:
The transmission time length information acquisition module is used for carrying out communication detection on a transmission communication channel between each network transmission node of the intelligent power grid when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, so as to acquire the data transmission time length of unit transmission data quantity in unit time;
the communication failure judging module is used for comparing the data transmission time length with a preset transmission time length threshold value, and judging that the communication failure exists in the current network transmission node when the data transmission time length is lower than the preset transmission time length threshold value;
and the operation and maintenance reminding module is used for sending the position of the network transmission node with poor communication to an operation and maintenance personnel terminal for operation and maintenance reminding.
The working principle of the technical scheme is as follows: when the transmission time information of the smart grid does not meet the transmission time requirement index, the system can perform communication detection on a transmission communication channel between each network transmission node of the smart grid.
In communication detection, the system obtains the data transmission duration of a unit transmission data amount in a unit time so as to know the data transmission condition of each network transmission node.
The system compares the obtained data transmission time length with a preset transmission time length threshold value.
If the data transmission time length is lower than a preset transmission time length threshold value, the system judges that the current network transmission node has poor communication, namely the data transmission time does not meet the requirement.
Once the system determines that network transmission nodes with poor communication exist, the system acquires the position information of the nodes and sends the information to an operation and maintenance personnel terminal to carry out operation and maintenance reminding.
The operation and maintenance personnel can quickly locate the problem node according to the received position information and take necessary measures to solve the problem of poor communication.
The technical scheme has the effects that: real-time problem diagnosis: by detecting the communication transmission nodes in the intelligent power grid, the system can find out nodes with poor communication in real time, namely nodes with data transmission time which does not meet the requirement.
Quick problem solving: the position information of the network transmission node with poor communication is sent to the operation and maintenance personnel terminal, so that the operation and maintenance personnel can be helped to quickly locate the problem node, and corresponding maintenance measures are taken to ensure the normal operation of the intelligent power grid.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (10)

1. The intelligent power grid transmission delay optimization method is characterized by comprising the following steps of:
acquiring transmission time information of the smart grid in real time;
comparing the transmission time information of the intelligent power grid with a preset transmission time demand index, and judging whether the transmission time information of the intelligent power grid meets the requirement of the transmission time demand index or not;
and when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, detecting the communication network, acquiring a detection result, and simultaneously, sending the detection result to an operation and maintenance personnel terminal for operation and maintenance reminding.
2. The smart grid transmission delay optimization method of claim 1, wherein collecting the smart grid transmission time information in real time comprises:
setting a data transmission monitoring time period; the data transmission monitoring time period is obtained through the following formula:
T=(1+N max /N)×T 0
wherein T represents a data transmission monitoring period; t (T) 0 Representing a preset data transmission monitoring time period reference value; n (N) max The maximum theoretical value of the occurrence data transmission times transmitted by the smart grid in the time period corresponding to the preset data transmission monitoring time period reference value is represented; n represents the maximum transmission times allowed by the communication load in the time period corresponding to the preset data transmission monitoring time period reference value;
Collecting data sending time and data receiving time of the smart grid in the data transmission process in real time in each data transmission monitoring time period;
acquiring data transmission time length information according to the data transmission time and the data receiving time;
acquiring duration change amplitude information of every two adjacent data transmission according to the duration of every data transmission in the data transmission monitoring time period;
the data transmission time information and the time length change amplitude information of every two adjacent data transmission are the transmission time information.
3. The method for optimizing transmission delay of a smart grid according to claim 1, wherein comparing the transmission time information of the smart grid with a preset transmission time requirement index, and determining whether the transmission time information of the smart grid meets the requirement of the transmission time requirement index comprises:
comparing the data transmission time length with a transmission time requirement index corresponding to the transmitted data;
judging whether the data transmission time length meets the transmission time requirement index corresponding to the transmitted data according to a transmission quality evaluation principle;
when the data transmission time length does not meet the transmission time requirement index corresponding to the transmitted data, judging the data transmission quality as primary bad;
When the data transmission quality is judged to be primary bad, extracting duration change amplitude information of every two adjacent data transmissions;
acquiring the duration change average amplitude of each two adjacent data transmission in the data transmission monitoring time period according to the duration change amplitude information of each two adjacent data transmission;
comparing the average amplitude of the duration change of every two adjacent data transmission in the data transmission monitoring time period with a preset transmission duration amplitude threshold;
and when the average amplitude of the duration change of every two adjacent data transmissions in the data transmission monitoring time period exceeds a preset transmission duration amplitude threshold, the data transmission quality is poor.
4. The smart grid transmission delay optimization method of claim 3, wherein the transmission quality evaluation principle is as follows:
when the time length of the five data parameters continuously appears is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, judging that the data transmission quality is primary bad;
or (b)
And when the time length of the data parameter which continuously appears 3 times is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, and the time difference between the condition of the time length of the data parameter which continuously appears 3 times next to the time length of the data transmission which continuously appears 3 times and the time length of the data parameter which continuously appears last to the time is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data is lower than 2 data transmission times, judging that the data transmission quality is primary bad.
5. The method for optimizing transmission delay of a smart grid according to claim 1, wherein when the transmission time information of the smart grid does not meet the requirement of the transmission time requirement index, detecting a communication network and obtaining a detection result, and simultaneously, sending the detection result to an operation and maintenance personnel terminal for operation and maintenance reminding, comprises:
when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, carrying out communication detection on a transmission communication channel between each network transmission node of the intelligent power grid to obtain the data transmission duration of unit transmission data quantity in unit time;
comparing the data transmission duration with a preset transmission duration threshold, and judging that the current network transmission node has poor communication when the data transmission duration is lower than the preset transmission duration threshold;
and sending the position of the network transmission node with poor communication to an operation and maintenance personnel terminal for operation and maintenance reminding.
6. A smart grid transmission delay optimization system, the smart grid transmission delay optimization system comprising:
the real-time acquisition module is used for acquiring the transmission time information of the intelligent power grid in real time;
The information comparison module is used for comparing the transmission time information of the intelligent power grid with a preset transmission time requirement index and judging whether the transmission time information of the intelligent power grid meets the requirement of the transmission time requirement index or not;
and the detection result acquisition module is used for detecting the communication network and acquiring a detection result when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, and simultaneously, sending the detection result to the operation and maintenance personnel terminal for operation and maintenance reminding.
7. The smart grid transmission delay optimization system of claim 6 wherein the real-time acquisition module comprises:
the transmission monitoring time period setting module is used for setting a data transmission monitoring time period; the data transmission monitoring time period is obtained through the following formula:
T=(1+N max /N)×T 0
wherein T represents a data transmission monitoring period; t (T) 0 Representing a preset data transmission monitoring time period reference value; n (N) max The maximum theoretical value of the occurrence data transmission times transmitted by the smart grid in the time period corresponding to the preset data transmission monitoring time period reference value is represented; n represents the maximum transmission times allowed by the communication load in the time period corresponding to the preset data transmission monitoring time period reference value;
The time information acquisition module is used for acquiring data sending time and data receiving time of the smart grid in the data transmission process in real time in each data transmission monitoring time period;
the data duration information acquisition module is used for acquiring data transmission duration information according to the data sending time and the data receiving time;
the time length change amplitude information acquisition module is used for acquiring time length change amplitude information of every two adjacent data transmission according to the time length of every data transmission in the data transmission monitoring time period;
the data transmission time information and the time length change amplitude information of every two adjacent data transmission are the transmission time information.
8. The smart grid transmission delay optimization system of claim 6 wherein the information comparison module comprises:
the comparison execution module is used for comparing the data transmission duration with a transmission time requirement index corresponding to the transmitted data;
the demand index judging module is used for judging whether the data transmission time length meets the transmission time demand index corresponding to the transmitted data according to the transmission quality evaluation principle;
the first quality judging module is used for judging that the data transmission quality is primary bad when the data transmission duration does not meet the transmission time requirement index corresponding to the transmitted data;
The amplitude information extraction module is used for extracting duration change amplitude information of every two adjacent data transmission when the data transmission quality is judged to be primary bad;
the average amplitude acquisition module is used for acquiring the average amplitude of the duration change of each two adjacent data transmission in the data transmission monitoring time period according to the duration change amplitude information of each two adjacent data transmission;
the amplitude comparison module is used for comparing the average amplitude of the duration change of every two adjacent data transmission in the data transmission monitoring time period with a preset transmission duration amplitude threshold;
and the second quality judging module is used for judging that the data transmission quality is poor when the average amplitude of the duration change of every two adjacent data transmissions in the data transmission monitoring time period exceeds a preset transmission duration amplitude threshold.
9. The smart grid transmission delay optimization system of claim 8, wherein the transmission quality evaluation principle is as follows:
when the time length of the five data parameters continuously appears is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, judging that the data transmission quality is primary bad;
Or (b)
And when the time length of the data parameter which continuously appears 3 times is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data, and the time difference between the condition of the time length of the data parameter which continuously appears 3 times next to the time length of the data transmission which continuously appears 3 times and the time length of the data parameter which continuously appears last to the time is lower than the specified data transmission time length corresponding to the transmission time requirement index corresponding to the transmitted data is lower than 2 data transmission times, judging that the data transmission quality is primary bad.
10. The smart grid transmission delay optimization system of claim 6 wherein the detection result acquisition module comprises:
the transmission time length information acquisition module is used for carrying out communication detection on a transmission communication channel between each network transmission node of the intelligent power grid when the transmission time information of the intelligent power grid does not meet the requirement of the transmission time requirement index, so as to acquire the data transmission time length of unit transmission data quantity in unit time;
the communication failure judging module is used for comparing the data transmission time length with a preset transmission time length threshold value, and judging that the communication failure exists in the current network transmission node when the data transmission time length is lower than the preset transmission time length threshold value;
And the operation and maintenance reminding module is used for sending the position of the network transmission node with poor communication to an operation and maintenance personnel terminal for operation and maintenance reminding.
CN202311743508.6A 2023-12-18 2023-12-18 Smart power grid transmission delay optimization method and system Pending CN117856441A (en)

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