A substation automation intelligent monitoring system

Abstract

The present invention relates to an intelligent monitoring system for substation automation applied to the field of substation monitoring, comprising an environment monitoring module, a power equipment monitoring module, a historical data storage module, a loss analysis module, a predictive maintenance module, a security inspection module and an alarm emergency module connected to a central control console signal. The predictive maintenance module is used to predict the next power dispatching peak period of the substation, and then the loss analysis module is used to combine multiple influencing factors of the power equipment during operation, including temperature, current value, usage time and vibration conditions, to perform more refined loss calculations, and obtain relatively accurate loss termination node range values, so as to take targeted measures to ensure that the loss and damage nodes of the power equipment avoid the power dispatching peak closest to the substation, so that the substation can operate stably.

Description

Technical Field

[0001] The invention relates to a substation monitoring system, in particular to a substation automation intelligent monitoring system applied to the substation monitoring field. Background Art

[0002] Substations are an important part of power generation, transmission and distribution systems. Their main function is to perform power distribution and transformation work in the area where they are located. They are a key link in ensuring the smooth operation of the power grid. Substations are equipped with a large number of power components, including transformers, reactors and capacitors. In order to ensure the stable operation of substations, it is usually necessary to monitor the status of the above electrical equipment.

[0003] The specification of Chinese invention patent CN202410420113.0 discloses a substation intelligent auxiliary monitoring system, which belongs to the field of substation technology. It solves the technical problems of poor versatility of existing cameras and inconvenience in deployment during installation and maintenance. The invention has the advantages of realizing efficient and highly integrated monitoring operations of substations, improving the versatility of cameras, and facilitating deployment.

[0004] Existing substation monitoring systems usually perform a single numerical monitoring operation during monitoring, so that an early warning is issued when the monitoring value exceeds the safety threshold. The early warning prompts are relatively simple, but during the operation of power equipment, it is affected by multiple factors such as temperature and current size, and its degree of consumption is in a dynamic state. A power equipment within the safety threshold may suddenly be damaged during the peak power dispatch process, thereby affecting the smooth progress of peak power dispatch work. Summary of the invention

[0005] In view of the above-mentioned prior art, the technical problem to be solved by the present invention is that when conducting power monitoring on the substation, it is possible to combine the consumption of the power equipment, conduct consumption analysis and prediction, and take targeted replacement and maintenance measures, so that the consumption end point of the power equipment avoids the peak period of power dispatching of the substation, ensuring the normal operation of the substation during the peak dispatching period.

[0006] To solve the above problems, the present invention provides a substation automation intelligent monitoring system, including an environmental monitoring module, a power equipment monitoring module, a historical data storage module, a loss analysis module, a predictive maintenance module, a security inspection module and an alarm emergency module connected to the central control console signal;

[0007] The environmental monitoring module is used to monitor environmental parameters within the substation;

[0008] The power equipment monitoring module is used to monitor the environmental parameters of the power equipment in the substation when it is working;

[0009] The historical data storage module includes a power consumption data unit and a historical environment data unit, wherein the power consumption data unit is used to record the power consumed by the power equipment during operation and the power dispatching data of the substation, and the historical environment data unit is used to record the environmental conditions when the power equipment consumes power;

[0010] The loss analysis module includes a loss calculation unit and a loss marking unit, wherein the loss marking unit is used to record the loss data of the power equipment, and the loss marking unit is connected to the power equipment monitoring module and the loss marking unit signal, and the loss calculation method is adjusted in real time according to the loss degree and working environment of the power equipment;

[0011] The predictive maintenance module includes an environment prediction unit, an alarm prompt unit and a twin simulation unit. The environment prediction unit calls the historical data storage module to predict the power consumption of the substation, and the alarm prompt unit is connected to the loss analysis module signal to indicate the location of the power equipment that needs to be replaced and maintained in the substation. The twin simulation unit is used to simulate the loss state of the power equipment and calculate the loss and damage nodes of the power equipment;

[0012] The alarm emergency module is connected to the environmental monitoring module and the security patrol module for signal transmission, and is used to issue an external warning when environmental parameters exceed the set safety threshold or when an abnormality occurs during security patrol.

[0013] The environmental monitoring module includes a static monitoring submodule and a video monitoring submodule. The static monitoring submodule includes a wind sensor, a temperature and humidity sensor, and a smoke sensor installed in the substation. The video monitoring submodule includes multiple video monitoring devices installed in the substation, which are used to cooperate with the security inspection module to perform security monitoring of the substation and the set areas around the substation.

[0014] In the above-mentioned substation automation intelligent monitoring system, when monitoring the power of the substation, a more accurate loss analysis and prediction can be carried out in combination with the loss of power equipment to help the end point of the loss of auxiliary power equipment avoid the peak period of power dispatching of the substation, thereby ensuring the normal operation of the substation during the peak period of dispatching.

[0015] As a further improvement of the present application, the power equipment monitoring module includes a temperature acquisition unit, a vibration acquisition unit and a power data acquisition unit, wherein the temperature acquisition unit is used to collect the internal ambient temperature of the power equipment during operation, the vibration acquisition unit is used to collect the vibration amplitude and frequency of the power equipment during operation, and the power data acquisition unit is used to collect the current and voltage data of the power equipment during operation.

[0016] As a further improvement of the present application, the working steps of the loss analysis module are as follows:

[0017] S1. Obtain whether the working state of the power equipment is working state or no-load state, and obtain the initial loss value P of the power equipment from the loss marking unit 初 ;

[0018] S2. Real-time consumption of power equipment under normal working conditions P 实 =T*P,P=P0+Pk,T=F*f*|t- t0| 1 / 2 *m 1 / 2 , where F represents the relationship between the power equipment consumption and the current, f represents the influencing factor of the real-time working vibration of the power equipment, t represents the real-time working temperature of the power equipment, m represents the length of time the power equipment has been in use, Pk represents the consumption value of the power equipment working under rated conditions, P0 represents the loss value of the power equipment under no-load conditions, t0 represents the ambient temperature value of the power equipment when working under rated conditions, and t represents the ambient temperature value of the power equipment when actually working;

[0019] S3. When I0 is greater than I, F= (I0-I) 1 / 2 , when I0 is less than I, F=log I0 I, I represent the real-time working current value of the power equipment, I0 represents the current value of the power equipment under rated state, and the values ​​of I and I0 are both greater than 1;

[0020] S4. After calculating the real-time loss of the power equipment, calculate P 留 =P 初 -P 实 ;

[0021] S5, combining historical data storage module, environmental monitoring module and P 留 , calculate the power forecast of the substation and the power equipment's working consumption and damage nodes according to the forecast, and determine whether the power equipment's consumption and damage nodes are within the next dispatch peak period of the substation. If it is within the peak period, the power equipment needs to be replaced and maintained in advance, otherwise it needs to be replaced when it is due.

[0022] As a further improvement of the present application, S5 further includes the following steps:

[0023] S51, combining the historical data storage module, and combining the month-on-month and year-on-year data, to obtain a preliminary power usage forecast;

[0024] S52, then, combining the environmental monitoring module and the historical environmental data unit, the power usage forecast in S51 is corrected according to the environmental changes of the substation and the changes in the power dispatching demand of the substation obtained through the central control console;

[0025] S53, input the revised power usage forecast of the substation into the twin simulation unit, and combine it with P in S4留 , calculate the consumption and damage nodes of power equipment;

[0026] S54, comparing the damaged node obtained in S53 with the closest dispatch peak period in the power usage forecast corrected in S52, and determining whether the damaged node falls within the closest dispatch peak period.

[0027] As a further improvement of the present application, m in S2 is measured in units of 0.5N years according to the service life of the power equipment, where N is a positive integer.

[0028] As another improvement of the present application, in S2 |t- t0| 1 / 2 The calculation steps are as follows:

[0029] S21, P 实 The corresponding time interval is divided into L1, L2...Ln, and the temperature value t of the power equipment in the corresponding time interval is collected by the temperature acquisition unit. L1 ,t L2 ……t Ln be collected;

[0030] S22, during L1, t L1 If the fluctuation value is in a dynamic change within the set threshold range, t L1 Take the average value within the interval. If the fluctuation value exceeds the set threshold range, subdivide L1 twice until the fluctuation value within the subdivided interval is controlled within the set threshold range. The same operation is performed for intervals L2...Ln.

[0031] S23. Use formula Get |t- t0| 1 / 2 Real-time value of .

[0032] To sum up, when monitoring the substation, the present application can not only monitor the power consumption and power dispatching of the power equipment in the substation and store the corresponding data, but also use the predictive maintenance module to predict the power dispatching of the substation, and conduct comprehensive calculation and analysis on the consumption of the power equipment in the substation. When the consumption and damage nodes of the power equipment fall within the peak period, the power equipment is replaced and maintained in advance, so that the consumption and damage nodes fall outside the peak period, so as to ensure the stable operation of the substation during the dispatching peak period. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a schematic diagram of the composition of the system of this application;

[0034] Figure 2 This is a workflow diagram of the loss analysis module of this application;

[0035] Figure 3 This is a workflow diagram of the predictive maintenance module of this application;

[0036] Figure 4 In the second embodiment of the present application, the power equipment is subjected to the temperature change state. 实 Flowchart for calculating the degree of impact. DETAILED DESCRIPTION

[0037] Two implementation modes of the present application are described in detail below with reference to the accompanying drawings.

[0038] The first implementation method:

[0039] Figure 1 An intelligent monitoring system for substation automation is shown, including an environmental monitoring module, a power equipment monitoring module, a historical data storage module, a loss analysis module, a predictive maintenance module, a security inspection module and an alarm emergency module connected to the central control console signal;

[0040] The environmental monitoring module is used to monitor environmental parameters within the substation;

[0041] The power equipment monitoring module is used to monitor the environmental parameters of the power equipment in the substation when it is working;

[0042] The historical data storage module includes a power consumption data unit and a historical environment data unit, wherein the power consumption data unit is used to record the power consumed by the power equipment during operation and the power dispatching data of the substation, and the historical environment data unit is used to record the environmental conditions when the power equipment consumes power;

[0043] The loss analysis module includes a loss calculation unit and a loss marking unit, wherein the loss marking unit is used to record the loss data of the power equipment, and the loss marking unit is connected to the power equipment monitoring module and the loss marking unit signal, and the loss calculation method is adjusted in real time according to the loss degree and working environment of the power equipment;

[0044] The predictive maintenance module includes an environment prediction unit, an alarm prompt unit and a twin simulation unit. The environment prediction unit calls the historical data storage module to predict the power consumption of the substation, and the alarm prompt unit is connected to the loss analysis module signal to indicate the location of the power equipment that needs to be replaced and maintained in the substation. The twin simulation unit is used to simulate the loss state of the power equipment and calculate the loss and damage nodes of the power equipment;

[0045] The alarm emergency module is connected to the environmental monitoring module and the security patrol module for signal transmission, and is used to issue an external warning when environmental parameters exceed the set safety threshold or when an abnormality occurs during security patrol.

[0046] Specifically, when conducting power monitoring of power equipment inside a substation, in addition to monitoring relevant power data such as current and voltage, it is also necessary to monitor the degree of loss of the power equipment. When the power equipment is working, the current flowing through it and the temperature and vibration of the environment in which it is located will have different degrees of loss effects on the power equipment. In addition, as the use time of the power equipment increases, the degree of loss will not show a simple linear relationship, and its degree of loss often increases in an exponential form. When performing loss prediction, the existing technology usually uses a coarsened straight-line linear relationship for general detection, and the results obtained are often less accurate;

[0047] When calculating the loss of power equipment, this application uses the predictive maintenance module to predict the next power dispatch peak period of the substation (because the power dispatch demand during peak periods is large and urgent, such as high temperatures in summer, so it is necessary to ensure stable dispatch during peak periods, which means that the loss terminal node of the power equipment does not overlap with the peak period). Then, the loss analysis module is used to combine multiple influencing factors during the operation of the power equipment, including temperature, current value, usage time and vibration conditions, to perform more refined loss calculations and obtain relatively accurate loss terminal node range values.

[0048] The environmental monitoring module includes a static monitoring submodule and a video monitoring submodule. The static monitoring submodule includes a wind sensor, a temperature and humidity sensor, and a smoke sensor installed in the substation. The video monitoring submodule includes multiple video monitoring devices installed in the substation, which are used to cooperate with the security inspection module to perform security monitoring of the substation and the set areas around the substation.

[0049] The power equipment monitoring module includes a temperature acquisition unit, a vibration acquisition unit and a power data acquisition unit. The temperature acquisition unit is used to collect the internal ambient temperature of the power equipment during operation, the vibration acquisition unit is used to collect the vibration amplitude and frequency of the power equipment during operation, and the power data acquisition unit is used to collect the current and voltage data of the power equipment during operation.

[0050] Specifically, the temperature collection unit, the vibration collection unit and the power data collection unit respectively collect the temperature, vibration, current and voltage data of the power equipment during operation, so as to be used for subsequent loss calculation processing.

[0051] Figure 2 The working steps of the loss analysis module are shown as follows:

[0052] S1. Obtain whether the working state of the power equipment is working state or no-load state, and obtain the initial loss value P of the power equipment from the loss marking unit 初 ;

[0053] S2. Real-time consumption of power equipment under normal working conditions P 实=T*P,P=P0+Pk,T=F*f*|t- t0| 1 / 2 *m 1 / 2 , where F represents the relationship between the power equipment consumption and the current, f represents the influencing factor of the real-time working vibration of the power equipment, t represents the real-time working temperature of the power equipment, m represents the length of time the power equipment has been in use, Pk represents the consumption value of the power equipment working under rated conditions, P0 represents the loss value of the power equipment under no-load conditions, t0 represents the ambient temperature value of the power equipment when working under rated conditions, and t represents the ambient temperature value of the power equipment when actually working;

[0054] S3. When I0 is greater than I, F= (I0-I) 1 / 2 , when I0 is less than I, F=log I0 I, I represent the real-time working current value of the power equipment, I0 represents the current value of the power equipment under rated state, and the values ​​of I and I0 are both greater than 1;

[0055] Specifically, when calculating the loss value of power equipment, as the current value flowing through increases, the operating temperature value, the length of use, and the vibration increase, the loss degree will increase. When the current is less than the rated current, the power equipment may not be able to reach the best working state, and may also cause premature aging or damage to the equipment. However, when the current is greater than the rated current, it will also cause the temperature of the power equipment to rise, which can only cause heat loss.

[0056] When working in a temperature environment other than the rated temperature, low temperature will cause the electron movement speed in the power equipment to decrease, the insulation capacity to deteriorate, and the mechanical action to weaken. The greater the temperature difference between t and t0, the greater the temperature difference between |t- t0| 1 / 2 The value of increases accordingly.

[0057] Figure 3 As shown, S4, after calculating the real-time loss of the power equipment, calculate P 留 =P 初 -P 实 ;

[0058] S5, combining historical data storage module, environmental monitoring module and P 留 , calculate the power forecast of the substation and the wear and tear nodes of the power equipment working according to the forecast, and determine whether the wear and tear nodes of the power equipment are within the next dispatch peak period of the substation. If it is within the peak period, the power equipment needs to be replaced and maintained in advance, otherwise it is due for replacement.

[0059] S5 also includes the following steps:

[0060] S51, combining the historical data storage module, and combining the month-on-month and year-on-year data, to obtain a preliminary power usage forecast;

[0061] S52, then, combining the environmental monitoring module and the historical environmental data unit, the power usage forecast in S51 is corrected according to the environmental changes of the substation and the changes in the power dispatching demand of the substation obtained through the central control console;

[0062] S53, input the revised power usage forecast of the substation into the twin simulation unit, and combine it with P in S4 留 , calculate the consumption and damage nodes of power equipment;

[0063] S54, comparing the damaged node obtained in S53 with the closest dispatch peak period in the power usage forecast corrected in S52, and determining whether the damaged node falls within the closest dispatch peak period.

[0064] In S2, m is measured in units of 0.5N years according to the service life of the power equipment, where N is a positive integer.

[0065] Specifically, using half a year as a unit can achieve unified processing of service life measurement units among different power equipment.

[0066] The second implementation method:

[0067] Figure 4 Shown in S2 |t- t0| 1 / 2 The calculation steps are as follows:

[0068] S21, P 实 The corresponding time interval is divided into L1, L2...Ln, and the temperature value t of the power equipment in the corresponding time interval is collected by the temperature acquisition unit. L1 ,t L2 ……t Ln be collected;

[0069] S22, during L1, t L1 If the fluctuation value is in a dynamic change within the set threshold range, t L1 Take the average value within the interval. If the fluctuation value exceeds the set threshold range, subdivide L1 twice until the fluctuation value within the subdivided interval is controlled within the set threshold range. The same operation is performed for intervals L2...Ln.

[0070] S23. Use formula Get |t- t0| 1 / 2 Real-time value of .

[0071] Different from the first embodiment, this embodiment takes into account that when the t of the power equipment is greater than t0, the heat dissipation device will be started to assist in heat dissipation to ensure that the power equipment works within the set temperature threshold. However, as the heat dissipation work proceeds, the temperature of the power equipment is in a dynamic state of change. Therefore, in S2, |t- t0| 1 / 2 , the period from t to t0 is divided into n parts, and then the average value is calculated in the L1 interval (because the temperature fluctuation value in the L1 interval is within the set threshold range and is within the acceptable range of variation, so the average value has a certain representativeness. If the fluctuation value exceeds the set threshold range, it is necessary to perform a secondary subdivision to avoid the large fluctuation value causing the representativeness of the interval average value to be reduced). Then, the |t- t0| 1 / 2 The sum and average processing is performed to obtain the degree of wear and tear during the period of time when the temperature fluctuation is large.

[0072] In summary, when monitoring the substation, the present application can not only monitor the power consumption and power dispatching of the power equipment in the substation and store the corresponding data, but also use the predictive maintenance module to predict the power dispatching of the substation, and conduct comprehensive calculation and analysis on the consumption of the power equipment in the substation. When the consumption and damage nodes of the power equipment fall within the peak period, the power equipment is replaced and maintained in advance, so that the consumption and damage nodes fall outside the peak period, so as to ensure the stable operation of the substation during the dispatching peak period.

[0073] In view of current practical needs, the above-mentioned implementation mode adopted in this application is not limited to the scope of protection. Various changes made within the knowledge scope of technical personnel in this field without departing from the concept of this application still fall within the scope of protection of the present invention.

Claims

1. A substation automation intelligent monitoring system, characterized in that: It includes an environmental monitoring module, a power equipment monitoring module, a historical data storage module, a loss analysis module, a predictive maintenance module, a security inspection module and an alarm emergency module connected to the central control console signal; The environmental monitoring module is used to monitor environmental parameters in the substation; The power equipment monitoring module is used to monitor the environmental parameters of the power equipment in the substation when it is working; The historical data storage module includes a power consumption data unit and a historical environment data unit, wherein the power consumption data unit is used to record the power consumed by the power equipment during operation and the power dispatching data of the substation, and the historical environment data unit is used to record the environmental conditions when the power equipment consumes power; The consumption analysis module includes a consumption calculation unit and a consumption marking unit, wherein the consumption marking unit is used to record the consumption data of the power equipment, and the consumption marking unit is connected to the power equipment monitoring module and the consumption marking unit signal, and the consumption calculation method is adjusted in real time according to the degree of consumption of the power equipment and the working environment; The predictive maintenance module includes an environment prediction unit, an alarm prompt unit and a twin simulation unit. The environment prediction unit calls the historical data storage module to predict the power consumption of the substation, and the alarm prompt unit is connected to the loss analysis module signal to indicate the location of the power equipment that needs to be replaced and maintained in the substation. The twin simulation unit is used to simulate the loss state of the power equipment and calculate the loss and damage nodes of the power equipment; The alarm emergency module is connected to the environmental monitoring module and the security inspection module for signal transmission, and is used to issue an external warning when environmental parameters exceed the set safety threshold and when security inspections are abnormal; The working steps of the loss analysis module are as follows: S1. Obtain whether the working state of the power equipment is working state or no-load state, and obtain the initial loss value P of the power equipment from the loss marking unit 初 ; S2. Real-time consumption of power equipment under normal working conditions P 实 =T*P,P=P0+Pk,T=F*f*|t- t0| 1 / 2 *m 1 / 2 , where F represents the relationship between the power equipment consumption and the current, f represents the influencing factor of the real-time working vibration of the power equipment, t represents the real-time working temperature of the power equipment, m represents the length of time the power equipment has been in use, Pk represents the consumption value of the power equipment working under rated conditions, P0 represents the loss value of the power equipment under no-load conditions, t0 represents the ambient temperature value of the power equipment when working under rated conditions, and t represents the ambient temperature value of the power equipment when actually working; S3. When I0 is greater than I, F= (I0-I) 1 / 2 , when I0 is less than I, F=log I0 I, I represent the real-time working current value of the power equipment, I0 represents the current value of the power equipment under rated state, and the values ​​of I and I0 are both greater than 1; S4. After calculating the real-time loss of the power equipment, calculate P 留 =P 初 -P 实 ; S5, combining historical data storage module, environmental monitoring module and P 留 , calculate the power forecast of the substation and the power equipment's working consumption and damage nodes according to the forecast, and determine whether the power equipment's consumption and damage nodes are within the next dispatch peak period of the substation. If it is within the peak period, the power equipment needs to be replaced and maintained in advance, otherwise it needs to be replaced when it is due.

2. A substation automation intelligent monitoring system according to claim 1, characterized in that: The environmental monitoring module includes a static monitoring submodule and a video monitoring submodule, wherein the static monitoring submodule includes a wind sensor, a temperature and humidity sensor, and a smoke sensor installed in the substation, and the video monitoring submodule includes multiple video monitoring devices installed in the substation, which are used to cooperate with the security inspection module to perform security monitoring of the substation and the set areas around the substation.

3. A substation automation intelligent monitoring system according to claim 1, characterized in that: The power equipment monitoring module includes a temperature acquisition unit, a vibration acquisition unit and a power data acquisition unit, wherein the temperature acquisition unit is used to collect the internal ambient temperature of the power equipment during operation, the vibration acquisition unit is used to collect the vibration amplitude and frequency of the power equipment during operation, and the power data acquisition unit is used to collect the current and voltage data of the power equipment during operation.

4. A substation automation intelligent monitoring system according to claim 1, characterized in that: The S5 further comprises the following steps: S51, combining the historical data storage module, and combining the month-on-month and year-on-year data, to obtain a preliminary power usage forecast; S52, then, combining the environmental monitoring module and the historical environmental data unit, the power usage forecast in S51 is corrected according to the environmental changes of the substation and the changes in the power dispatching demand of the substation obtained through the central control console; S53, input the revised power usage forecast of the substation into the twin simulation unit, and combine it with P in S4 留 , calculate the consumption and damage nodes of power equipment; S54, comparing the damaged node obtained in S53 with the closest dispatch peak period in the power usage forecast corrected in S52, and determining whether the damaged node falls within the closest dispatch peak period.

5. The intelligent monitoring system for substation automation according to claim 1, characterized in that: In S2, m is measured in units of 0.5N years according to the service life of the power equipment, where N is a positive integer.

6. A substation automation intelligent monitoring system according to claim 1, characterized in that: The S2|t- t0| 1 / 2 The calculation steps are as follows: S21, P 实 The corresponding time interval is divided into L1, L2...Ln, and the temperature value t of the power equipment in the corresponding time interval is collected by the temperature acquisition unit. L1 ,t L2 ……t Ln be collected; S22, during L1, t L1 If the fluctuation value is in a dynamic change within the set threshold range, t L1 Take the average value within the interval. If the fluctuation value exceeds the set threshold range, subdivide L1 twice until the fluctuation value within the subdivided interval is controlled within the set threshold range. The same operation is performed for intervals L2...Ln. S23. Use formula Get |t- t0| 1 / 2 Real-time value of .

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