10kV user power loss intelligent early warning system

Abstract

The invention discloses a 10kV user power-loss intelligent early warning system, which relates to the technical field of power-loss early warning and comprises an information management unit, an information analysis unit and an early warning judgment module. Topological information, telemetering information and telesignaling information are efficiently integrated, after the information is collected and processed, data fitting is conducted through normal distribution, the distribution rule and the change trend of data are analyzed, the change value and the change rate threshold value of electric power parameters are set, real-time data are compared with the set threshold value, and the real-time data are compared with the set threshold value. According to the method, the state of the power system is judged, the power loss reason is self-checked, the power loss probability value is obtained, the power loss consequence is evaluated, early warning risk grading is carried out, single-path power loss early warning and multi-path power loss early warning are achieved, different response operations are carried out in time according to risk early warning grade division, the power loss early warning accuracy is improved, the power loss response time is shortened, and the power loss early warning efficiency is improved. Influences of power loss on a power grid and users are reduced, and safe and stable operation of the power grid is guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of power failure warning, and in particular to an intelligent power failure warning system for 10kV users. Background Art

[0002] 10kV high-voltage power supply users refer to those users who use 10 kV power equipment in large-scale industrial and urban power supply systems, such as industrial enterprises, commercial institutions and public facilities. For these key users, timely warning of the cause of power failure and the power failure fault area is required to prevent frequent power outages in the distribution network.

[0003] In the prior art, when performing intelligent power failure warning, due to the diversity of power failure causes, it becomes difficult to determine the risk value of the fault alarm. There will be a large amount of redundant information, which will affect the correct judgment of the warning. It not only affects the accuracy of the power failure warning judgment and the accuracy of the warning, but also leads to a high warning rate, which is not convenient for quickly judging different power failure warning risks. Summary of the invention

[0004] The purpose of the present invention is to provide a 10kV user power failure intelligent warning system to solve the problem raised in the above background technology that due to the diversity of power failure causes, there is interference from redundant information when performing power failure intelligent warning, which affects the accuracy of judgment and is not convenient for quickly judging different power failure warning risks.

[0005] To achieve the above object, the present invention provides the following technical solutions: a 10kV user power failure intelligent early warning system, comprising an information management unit, an information analysis unit and an early warning judgment module;

[0006] The information management unit is used to obtain the power data of each line in the power system in real time by using topology analysis, telemetry information and telesignaling information collection;

[0007] The information analysis unit is used to analyze and process the collected information, use normal distribution to perform data fitting, set a change rate threshold, compare the real-time data with the preset threshold, and determine whether the system is in a power-off state or has a power-off risk;

[0008] The warning judgment module is used to analyze the power failure factors, evaluate the accuracy of the power failure warning, obtain the risk level, and issue a power failure warning;

[0009] The early warning judgment module includes a factor analysis module, a consequence assessment module, a risk classification module and a power failure early warning module;

[0010] The factor analysis module is used to self-check the cause of power failure, determine the weight coefficient of each factor, and obtain the power failure probability value according to the probability value calculation formula;

[0011] The consequence assessment module is used to assess the consequences of power failure according to the probability value and determine the importance of power failure warning;

[0012] The risk classification module is used to classify the early warning risks and perform corresponding emergency response operations according to different risk levels;

[0013] The power failure warning module is used to send warning information, and the warning information content includes the name, location, power failure time, power failure cause and warning level of the power failure line.

[0014] Preferably, the information management unit includes a network model building module, a telemetry information processing module and a telesignaling information processing module;

[0015] The network model building module is used to identify the structural characteristics of the power grid through topological analysis, and establish a complete power grid topology structure according to the actual operation characteristics of the power system;

[0016] The telemetry information processing module is used to collect the operating parameters of the power system in real time and process the data;

[0017] The remote signaling information processing module is used to collect status information of the power system and perform real-time monitoring.

[0018] Preferably, the telemetry information processing module includes a data acquisition module and a data processing module;

[0019] The data acquisition module is used to collect the operating parameters of the power system in real time using sensors, including AC current, voltage, power, frequency, DC voltage and gear position;

[0020] The data processing module is used to process the collected data, including data cleaning, denoising and compression.

[0021] Preferably, the remote signaling information processing module includes a status information acquisition module and a status information transmission module;

[0022] The status information acquisition module is used to collect status information of the power system through a remote terminal device, including switch position, valve position, circuit breaker status information and alarm information;

[0023] The status information transmission module is used to transmit the collected information to the monitoring center for real-time monitoring and analysis.

[0024] Preferably, the information analysis unit includes a data fitting module, a threshold setting module and a line determination module;

[0025] The data fitting module is used to integrate topological information, telemetry information and telesignaling information, fit the data using normal distribution, and analyze the distribution law and change trend of the data;

[0026] The threshold setting module is used to manually set the change value and change rate threshold of the power parameter, including the absolute value threshold and the relative value threshold. When the voltage is lower than the set value, it is considered as a power failure, and when the voltage drops more than the set value, it is considered as an abnormality;

[0027] The line determination module is used to monitor the parameters of multiple power lines and determine whether the abnormality is a single-line power failure event or a multiple-line power failure event.

[0028] Preferably, the probability density curve calculation formula of the normally distributed random variable Z is as follows:

[0029]

[0030] Among them; σ>0, μ and σ are constants, and the random variable z is said to obey the parameters μ, σ 2 The normal distribution is denoted as Z~N(μ,σ 2 ).

[0031] Preferably, the probability value calculation formula is as follows:

[0032] P = P0MW;

[0033]

[0034] Among them, P is the comprehensive probability of power outage, P0 is the basic probability of power outage, M is the meteorological condition factor, W is the repeated power outage factor, B i For each factor score, A mi The weight of each factor.

[0035] Preferably, the warning risk levels are divided into red warning, yellow warning, orange warning and blue warning. A red warning is issued when there is a line power outage within the power supply protection range of key users of power security, a yellow warning is issued when there is a planned power outage or a fault power outage in the lines under the substation of key users of power security, an orange warning is issued when there is a power outage in the power source where the key users with no power security activities are located, and a blue warning is issued when there is a planned power outage or a fault power outage in the lines under the substation where the power source is located where the risk of key users with no power security activities is located.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present invention efficiently integrates topology information, telemetry information and telesignaling information, collects and processes the information, performs data fitting through normal distribution, analyzes the distribution law and change trend of the data, sets the change value and change rate threshold of the power parameter, compares the real-time data with the set threshold, determines the state of the power system, self-checks the cause of power failure, obtains the power failure probability value, evaluates the consequences of power failure, and performs early warning risk classification to realize single-channel power failure early warning and multi-channel power failure early warning, and timely performs different response operations according to the risk warning level classification, thereby improving the accuracy of power failure early warning, reducing the power failure response time, reducing the impact of power failure on the power grid and users, and ensuring the safe and stable operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a system block diagram of a 10kV user power failure intelligent early warning system of the present invention;

[0039] Figure 2 This is a block diagram of a telemetry information processing module of a 10kV user power failure intelligent early warning system of the present invention;

[0040] Figure 3 This is a block diagram of a remote signaling information processing module of a 10kV user power failure intelligent early warning system of the present invention.

[0041] In the figure:

[0042] 1. Information management unit; 11. Network model building module; 12. Telemetry information processing module; 121. Data acquisition module; 122. Data processing module; 13. Telemetering information processing module; 131. Status information acquisition module; 132. Status information transmission module; 2. Information analysis unit; 21. Data fitting module; 22. Threshold setting module; 23. Line judgment module; 3. Warning judgment module; 31. Factor analysis module; 32. Consequence assessment module; 33. Risk classification module; 34. Power failure warning module. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the implementation regulations described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Example: Refer to Figure 1-Figure 3 As shown: a 10kV user power failure intelligent early warning system, including an information management unit 1, an information analysis unit 2 and an early warning judgment module 3;

[0045] The information management unit 1 is used to obtain the power data of each line in the power system in real time by using topology analysis, telemetry information and telesignaling information collection;

[0046] The information management unit 1 includes a network model building module 11, a telemetry information processing module 12 and a telesignaling information processing module 13;

[0047] The network model building module 11 is used to identify the structural characteristics of the power grid through topological analysis, and to establish a complete power grid topology structure according to the actual operation characteristics of the power system;

[0048] The telemetry information processing module 12 is used to collect the operating parameters of the power system in real time and process the data;

[0049] The telemetry information processing module 12 includes a data acquisition module 121 and a data processing module 122;

[0050] The data acquisition module 121 is used to collect the operating parameters of the power system in real time using sensors, including AC current, voltage, power, frequency, DC voltage and gear position;

[0051] The data processing module 122 is used to process the collected data, including data cleaning, denoising and compression.

[0052] The remote signaling information processing module 13 is used to collect status information of the power system and perform real-time monitoring.

[0053] The remote signaling information processing module 13 includes a status information acquisition module 131 and a status information transmission module 132;

[0054] The status information collection module 131 is used to collect the status information of the power system through the remote terminal equipment, including the switch position, valve position, circuit breaker status information and alarm information;

[0055] The status information transmission module 132 is used to transmit the collected information to the monitoring center for real-time monitoring and analysis.

[0056] The information analysis unit 2 is used to analyze and process the collected information, use normal distribution to fit the data, set a change rate threshold, compare the real-time data with the preset threshold, and determine whether the system is in a power-off state or has a power-off risk;

[0057] The warning judgment module 3 is used to analyze the power failure factors, evaluate the accuracy of the power failure warning, obtain the risk level, and issue a power failure warning;

[0058] The information analysis unit 2 includes a data fitting module 21, a threshold setting module 22 and a line determination module 23;

[0059] The data fitting module 21 is used to integrate topological information, telemetry information and telesignaling information, fit the data using normal distribution, and analyze the distribution law and change trend of the data;

[0060] The threshold setting module 22 is used to manually set the change value and change rate threshold of the power parameter, including the absolute value threshold and the relative value threshold. When the voltage is lower than the set value, it is considered as a power failure, and when the voltage drops more than the set value, it is considered as an abnormality;

[0061] The line determination module 23 is used to monitor the parameters of multiple power lines and determine whether the abnormality is a single-line power failure event or a multiple-line power failure event.

[0062] The probability density curve calculation formula of the normally distributed random variable Z is as follows:

[0063]

[0064] Among them; σ>0, μ and σ are constants, and the random variable z is said to obey the parameters μ, σ 2 The normal distribution is denoted as Z~N(μ,σ 2 ).

[0065] The early warning judgment module 3 includes a factor analysis module 31, a consequence assessment module 32, a risk classification module 33 and a power failure early warning module 34;

[0066] The factor analysis module 31 is used to self-check the cause of power failure, determine the weight coefficient of each factor, and obtain the power failure probability value according to the probability value calculation formula;

[0067] The consequence assessment module 32 is used to assess the consequences of power failure according to the probability value and determine the importance of the power failure warning;

[0068] The risk classification module 33 is used to classify the early warning risks and perform corresponding emergency response operations according to different risk levels;

[0069] The power failure warning module 34 is used to send warning information, and the warning information content includes the name, location, power failure time, power failure cause and warning level of the power failure line.

[0070] The probability value calculation formula is as follows:

[0071] P = P0MW;

[0072]

[0073] Among them, P is the comprehensive probability of power outage, P0 is the basic probability of power outage, M is the meteorological condition factor, W is the repeated power outage factor, B i For each factor score, A mi The weight of each factor.

[0074] The warning risk levels are divided into red warning, yellow warning, orange warning and blue warning. A red warning will be issued when there is a line power outage within the power supply protection range of key users of power supply. A yellow warning will be issued when there is a planned power outage or a fault power outage on the lines under the substation of key users of power supply. An orange warning will be issued when there is a power outage at the power source where key users with no power supply activities are located. A blue warning will be issued when there is a planned power outage or a fault power outage on the lines under the substation where the power source is located where the risk of key users with no power supply activities is located.

[0075] The present invention integrates topology information, telemetry information and telesignaling information efficiently, collects and processes the information, performs data fitting through normal distribution, analyzes the distribution law and change trend of the data, sets the change value and change rate threshold of the power parameter, compares the real-time data with the set threshold, judges that the power system is in a power-off state when the voltage is lower than the set value, judges that the power system has a power-off risk when the voltage drops by more than the set value, and judges that the abnormality is a single-circuit power-off event or a multi-circuit power-off event by simultaneously detecting the parameters of multiple lines. After the judgment, the early warning mechanism is triggered, and the cause of the power-off is self-checked. The probability value calculation formula is used The power failure probability value is calculated, the consequences of power failure are evaluated, and the early warning risk is graded. The risk levels are divided into red warning, yellow warning, orange warning and blue warning. Corresponding emergency response operations are carried out according to different risk levels. Warning information including the name, location, power failure time, power failure cause and warning level of the power failure line is sent to the staff, single-line power failure warning and multi-line power failure warning are realized, and different response operations are carried out in time according to the risk warning level classification, which improves the accuracy of power failure warning, reduces the power failure response time, reduces the impact of power failure on the power grid and users, and ensures the safe and stable operation of the power grid.

[0076] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A 10kV user power failure intelligent early warning system, characterized by: It comprises an information management unit (1), an information analysis unit (2) and an early warning judgment module (3); The information management unit (1) is used to acquire the power data of each line in the power system in real time by using topology analysis, telemetry information and telesignaling information collection; The information analysis unit (2) is used to analyze and process the collected information, perform data fitting using normal distribution, set a change rate threshold, compare the real-time data with a preset threshold, and determine whether the system is in a power-off state and whether there is a power-off risk; The warning judgment module (3) is used to analyze the power failure factors, evaluate the accuracy of the power failure warning, obtain the risk level, and issue a power failure warning; The early warning judgment module (3) comprises a factor analysis module (31), a consequence assessment module (32), a risk classification module (33) and a power failure early warning module (34); The factor analysis module (31) is used to self-check the cause of power failure, determine the weight coefficient of each factor, and obtain the power failure probability value according to the probability value calculation formula; The consequence assessment module (32) is used to assess the consequences of power failure according to the probability value and determine the importance of the power failure warning; The risk classification module (33) is used to classify the early warning risks and perform corresponding emergency response operations according to different risk levels; The power failure warning module (34) is used to send warning information, the warning information content including the name, location, power failure time, power failure cause and warning level of the power failure line.

2. According to claim 1, a 10kV user power failure intelligent early warning system is characterized in that: The information management unit (1) comprises a network model building module (11), a telemetry information processing module (12) and a telesignaling information processing module (13); The network model building module (11) is used to identify the structural characteristics of the power grid through topological analysis, and to establish a complete power grid topology structure according to the actual operation characteristics of the power system; The telemetry information processing module (12) is used to collect the operating parameters of the power system in real time and process the data; The remote signaling information processing module (13) is used to collect status information of the power system and perform real-time monitoring.

3. A 10kV user power failure intelligent early warning system according to claim 2, characterized in that: The telemetry information processing module (12) comprises a data acquisition module (121) and a data processing module (122); The data acquisition module (121) is used to collect operating parameters of the power system in real time using sensors, including AC current, voltage, power, frequency, DC voltage and gear position; The data processing module (122) is used to process the collected data, including data cleaning, denoising and compression.

4. A 10kV user power failure intelligent early warning system according to claim 2, characterized in that: The remote signaling information processing module (13) comprises a state information acquisition module (131) and a state information transmission module (132); The state information acquisition module (131) is used to acquire state information of the power system through a remote terminal device, including switch position, valve position, circuit breaker state information and alarm information; The status information transmission module (132) is used to transmit the collected information to the monitoring center for real-time monitoring and analysis.

5. The 10kV user power failure intelligent early warning system according to claim 1 is characterized by: The information analysis unit (2) comprises a data fitting module (21), a threshold setting module (22) and a line determination module (23); The data fitting module (21) is used to integrate topological information, telemetry information and telesignaling information, fit the data using normal distribution, and analyze the distribution law and change trend of the data; The threshold setting module (22) is used to manually set the change value and change rate threshold of the power parameter, including an absolute value threshold and a relative value threshold. When the voltage is lower than the set value, it is considered as a power failure, and when the voltage drops beyond the set value, it is considered as an abnormality. The line determination module (23) is used to monitor the parameters of multiple power lines and determine whether the abnormality is a single-line power failure event or a multiple-line power failure event.

6. A 10kV user power failure intelligent early warning system according to claim 5, characterized in that: The probability density curve calculation formula of the normal distribution random variable Z is as follows: in; σ>0, μ and σ are constants, and the random variable z is said to obey the parameters μ, σ 2 The normal distribution is denoted as Z~N(μ,σ 2 ).

7. The 10kV user power failure intelligent early warning system according to claim 1 is characterized by: The probability value calculation formula is as follows: P = P0MW; Among them, P is the comprehensive probability of power outage, P0 is the basic probability of power outage, M is the meteorological condition factor, W is the repeated power outage factor, B i For each factor score, A mi The weight of each factor.

8. The 10kV user power failure intelligent early warning system according to claim 1 is characterized by: The warning risk levels are divided into red warning, yellow warning, orange warning and blue warning. A red warning is issued when there is a line power outage within the power supply protection range of key users of power security. A yellow warning is issued when there is a planned power outage or a fault power outage in the lines under the substation of key users of power security. An orange warning is issued when there is a power outage in the power source where a key user with no power security activities is located. A blue warning is issued when there is a planned power outage or a fault power outage in the lines under the substation where the power source is located where the risk of key users with no power security activities is located.

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