A plain multi-energy integrated power generation and power supply monitoring platform

Abstract

The present invention discloses a plain multi-energy integrated power generation and power supply monitoring platform, which belongs to the field of power supply monitoring technology, including a node monitoring and acquisition module, which collects electrical parameter information of each transmission node according to the positional relationship of the transmission node; an equipment monitoring and acquisition module, which is used to obtain the temperature information and electric energy information of the equipment in each transmission node; an analysis and judgment module, which analyzes the collected electrical parameter information, temperature information and electric energy information, so as to judge whether there is power supply abnormality in the power supply equipment in the transmission node, and generates a corresponding early warning signal. The present invention collects the electrical parameter information of each transmission node, and analyzes and judges the electric energy parameter information through the analysis and judgment module, so as to judge whether the equipment between each transmission node is abnormal. When an abnormality occurs, it can be timely known which node has a problem, which can narrow the scope that needs to be detected, and facilitate workers to conduct inspections and maintenance.

Description

Technical Field

[0001] The present invention belongs to the technical field of power supply monitoring, and in particular relates to a plain multi-energy integrated power generation and power supply monitoring platform. Background Art

[0002] Multi-energy integrated power generation is a power generation technology that converts multiple energy sources (such as solar energy, wind energy, fossil fuels, etc.) into electrical energy. By integrating multiple energy generation technologies, it improves energy utilization efficiency and stability and reduces dependence on a single energy source. These energy sources are relatively abundant in plain areas, so setting up multi-energy integrated power generation in plain areas can complement each other with various energy sources in the plain areas, improve overall power generation efficiency, and reduce energy waste.

[0003] When multi-energy integrated power generation equipment is supplying power, in order to reduce power loss or power supply anomalies, it is necessary to conduct daily inspections of the power supply equipment to check the appearance, operating conditions and surrounding environment of the equipment, ensure the normal operation of the equipment, and promptly discover and handle abnormal conditions. However, due to the large number of equipment, such inspections are prone to omissions, and only equipment that has already experienced anomalies can be discovered during the inspection. Some equipment will experience anomalies and other faults during operation after the inspection. By the time the accident is discovered, the accident has already occurred, which will increase property losses. Summary of the invention

[0004] The purpose of the present invention is to provide a plain multi-energy integrated power generation and power supply monitoring platform to solve the problems faced in the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A plain multi-energy integrated power generation and power supply monitoring platform, the monitoring platform comprising:

[0007] A node monitoring and collection module, wherein the node monitoring and collection module collects electrical parameter information of each transmission node according to the position relationship of the transmission node;

[0008] A device monitoring and collection module, which is used to obtain temperature information and power information of devices in each transmission node;

[0009] An analysis and judgment module, which analyzes the collected electrical parameter information, temperature information, and electric energy information to determine whether there is a power supply anomaly in the power supply equipment in the transmission node, and generates a corresponding warning signal;

[0010] An execution module generates a corresponding alarm instruction according to the early warning signal.

[0011] Furthermore, the analysis and judgment module performs analysis and judgment in the following manner:

[0012] Within a period of time ∆t, obtain the electrical energy output by the previous transmission node , and the electrical energy output by the current transmission node ,

[0013] By formula Find the power loss coefficient of the nth transmission node ;

[0014] when When , it is considered that the power supply is abnormal;

[0015] Otherwise, the power supply is considered normal;

[0016] in, The preset power loss threshold for the nth transmission node.

[0017] Furthermore, the analysis method of the analysis and judgment module also includes:

[0018] In the case of abnormal power supply, obtain the ∆t time through the formula Find the risk value of the mth device ;

[0019] The risk value you will get The risk threshold interval preset by the system To compare:

[0020] when When , a re-judgment strategy is generated;

[0021] when When a warning signal is generated,

[0022] in, is the power supply status value of each device, is the temperature status value of each device, as well as are their respective weight coefficients.

[0023] Furthermore, the power supply status value The acquisition method is:

[0024] In the ∆t time, obtain the curve of the electric energy received by each device over time , and the curve of the electric energy released by each device changing with time ,

[0025] By formula Calculate the power supply status value of each power supply device;

[0026] in, as well as is the weight coefficient, For the time ∆t The maximum value of For the time ∆t The minimum value of is the amount of electrical energy received by the device, The amount of electrical energy released by the device.

[0027] Furthermore, the temperature condition value The method to obtain it is:

[0028] Get the temperature change curve of each device over time within ∆t time ;

[0029] By formula Calculate the temperature status value of the mth device ;

[0030] in is the current monitoring time point, is the total number of devices, and m∈ .

[0031] Furthermore, the alarm instructions include early warning instructions and maintenance instructions;

[0032] when When the warning instruction is generated;

[0033] when A maintenance instruction is generated.

[0034] Furthermore, the re-judgment strategy is:

[0035] By formula Calculate the stability value of the equipment in the transmission node ;

[0036] The stable value obtained The stability threshold preset by the system To compare:

[0037] when When the maintenance instruction is generated;

[0038] Otherwise, the device is considered normal.

[0039] Furthermore, the analysis method of the analysis and judgment module also includes:

[0040] Under normal power supply conditions, the formula Calculate the temperature risk value of each device ;

[0041] when When the warning instruction is generated;

[0042] in, The standard threshold temperature change curve preset for the system over time. The temperature reference function preset by the system, is the ambient temperature, Standard threshold temperatures preset for the system.

[0043] Beneficial effects of the present invention:

[0044] The present invention collects electrical parameter information of each transmission node through a node monitoring and collection module, and analyzes and judges the electric energy parameter information through an analysis and judgment module, so as to judge whether the equipment between each transmission node is abnormal. When an abnormality occurs, it is possible to know in time which node has a problem, which can narrow the scope of detection and facilitate workers to perform inspections and maintenance; at the same time, the temperature and electric energy information of the equipment in each node are monitored and collected through the equipment monitoring and collection module, so that the equipment of the abnormal transmission node can be detected to judge whether the equipment is abnormal, and the abnormal equipment can be found in time to reduce economic losses.

[0045] The present invention can judge potential problems of the power supply equipment when the power supply equipment is supplying power normally, so that the equipment with potential problems can be warned in time to reduce the risk of equipment damage and ensure the power supply quality.

[0046] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0048] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0049] 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 described embodiments 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.

[0050] In one embodiment, a plain multi-energy integrated power generation and power supply monitoring platform is disclosed, such as Figure 1As shown, the monitoring platform includes:

[0051] The node monitoring and collection module collects the electrical parameter information of each transmission node according to the position relationship of the transmission node;

[0052] Equipment monitoring and collection module, which is used to obtain temperature information and power information of equipment in each transmission node;

[0053] An analysis and judgment module analyzes the collected electrical parameter information, temperature information, and electric energy information to determine whether there is a power supply anomaly in the power supply equipment in the transmission node, and generates a corresponding warning signal;

[0054] The execution module generates corresponding alarm instructions according to the early warning signal.

[0055] Through the above technical scheme, the present application collects the electrical parameter information of each transmission node through the node monitoring and collection module, and analyzes and judges the electric energy parameter information through the analysis and judgment module, so as to judge whether the equipment between the transmission nodes is abnormal. When an abnormality occurs, it can be known in time which node has a problem, which can narrow the scope of detection and facilitate workers to conduct inspections and maintenance; at the same time, the temperature and electric energy information of the equipment in each node are monitored and collected through the equipment monitoring and collection module, so that the equipment of the abnormal transmission node can be detected to judge whether the equipment is abnormal, and the abnormal equipment can be found in time to reduce economic losses.

[0056] As an implementation mode of the present invention, the method for the analysis and judgment module to perform analysis and judgment is:

[0057] Within a period of time ∆t, obtain the electrical energy output by the previous transmission node , and the electrical energy output by the current transmission node ,

[0058] By formula Find the power loss coefficient of the nth transmission node ;

[0059] when When , it is considered that the power supply is abnormal;

[0060] Otherwise, the power supply is considered normal;

[0061] in, The preset power loss threshold for the nth transmission node.

[0062] Through the above technical solution, this embodiment provides a specific method for determining whether the power supply is normal, and obtains the power output of the previous transmission node within the preset ∆t time. And the amount of electrical energy currently output by the transmission node , subtracting the electric energy output by the current transmission node from the electric energy output by the upper transmission node can represent the energy loss of the transmission node interval. Due to the resistance of wires and cables, the loss of transformers, and the loss of energy during the conversion process, there will be a certain loss value. Therefore, Find the power loss coefficient of the nth transmission node ,when When the loss rate exceeds the maximum loss value of the system, it means that the power supply has a large loss, and it is considered that the power supply is abnormal. In this way, each transmission node can be monitored. When a power supply abnormality occurs, the abnormality of the transmission node can be known in time, which can narrow the detection range and facilitate workers to detect.

[0063] In the above technical solution, the ∆t time can be set manually and the power loss threshold preset by the transmission node It can be formulated based on the historical data of each node interval, which will not be elaborated here.

[0064] As an embodiment of the present invention, the analysis method of the analysis and judgment module further includes:

[0065] In the case of abnormal power supply, obtain the ∆t time through the formula Find the risk value of the mth device ;

[0066] The risk value you will get The risk threshold interval preset by the system To compare:

[0067] when When , a re-judgment strategy is generated;

[0068] when When a warning signal is generated,

[0069] in, is the power supply status value of each device, is the temperature status value of each device, as well as are their respective weight coefficients.

[0070] Through the above technical solution, this embodiment provides a method for analyzing and judging abnormal devices in abnormal nodes. Since when the power supply of a device is abnormal, the power supply status value of the general device will change, and the temperature will also change. Therefore, through the formula Combine the temperature status value and power supply status value for comprehensive analysis to find the risk value of each device , and then the risk value obtained The risk threshold interval preset by the system For comparison, when If the device is abnormal, an early warning signal is generated and the device is marked. If the device is abnormal, a re-judgment strategy will be generated for further judgment.

[0071] In the above technical solution, the respective weight coefficients as well as The risk threshold interval can be formulated based on experience. It can be obtained based on historical data and will not be described in detail here.

[0072] As an implementation mode of the present invention, the power supply status value The acquisition method is:

[0073] In the ∆t time, obtain the curve of the electric energy received by each device over time , and the curve of the electric energy released by each device changing with time ,

[0074] By formula Calculate the power supply status value of each power supply device;

[0075] in, as well as is the weight coefficient, For the time ∆t The maximum value of For the time ∆t The minimum value of is the amount of electrical energy received by the device, The amount of electrical energy released by the device.

[0076] Through the above technical solution, this embodiment provides a specific method for obtaining the power supply status value of each power supply device. Since the power supply device receives electric energy and converts it into output, if the difference between the received electric energy and the output electric energy is too large, it means that the power supply of the device is abnormal. Therefore, within the ∆t time, the curve of the electric energy received by each device over time is obtained. , and the curve of the electric energy released by each device changing with time , and then through the formula Calculate the power supply status value of each power supply device. From the formula, it can be seen that the greater the difference between the power received by the device and the power released by the device, the greater the power loss, that is, The larger the value, the more likely the device is to fail. Similarly, when the difference between the maximum and minimum values ​​of the electric energy received by the power supply device and the electric energy released by the power supply device during the ∆t time is greater, the more unstable the power supply is. The larger the value is, the more likely the device is to fail abnormally. Therefore, the formula By conducting a comprehensive analysis to determine the power supply status of the power supply equipment, we can more realistically understand the power supply status of each device and thus better judge whether the equipment is abnormal.

[0077] As an embodiment of the present invention, the temperature condition value The method to obtain it is:

[0078] Get the temperature change curve of each device over time within ∆t time ;

[0079] By formula Calculate the temperature status value of the mth device ;

[0080] in is the current monitoring time point, is the total number of devices, and m∈ .

[0081] Through the above technical solution, this embodiment provides a temperature status value The specific method of obtaining is firstly through the formula Get the difference between the temperature change of a single device and the overall temperature change of all devices in the node within ∆t time, and then use the formula Determine the time point of the current monitoring Under this condition, the difference between the temperature of a single device and the temperature of all devices is finally calculated by the formula Combine historical data and data at the current time point to judge the temperature status value of each device in the entire node. Obviously, when the formula The smaller the value or the formula The smaller the value, the smaller the fluctuation between the temperature of the device and the temperature of the overall device, the more stable the temperature and the better the device condition; conversely, the more unstable the temperature and the worse the device condition. Through this operation, the temperature of each device in the node can be balanced and consistent. When the temperature exceeds the overall temperature, it means that the temperature of the device is abnormal. The temperature difference of each device relative to the overall temperature can be well understood, so as to better judge whether there is an abnormality in the device.

[0082] As an implementation mode of the present invention, the alarm instruction includes a warning instruction and a maintenance instruction;

[0083] when When the warning instruction is generated;

[0084] when A maintenance instruction is generated.

[0085] Through the above technical solution, the alarm instructions are divided into early warning instructions and maintenance instructions, which can help maintenance personnel understand the severity of abnormalities in power supply equipment. When it is abnormal, it means that although it is abnormal, it may have just occurred, and an early warning instruction is generated to remind the maintenance personnel to check. When the power supply equipment is in serious abnormal condition, it is necessary to suspend the use of the equipment and immediately repair the equipment, and a maintenance instruction is generated.

[0086] As an implementation method of the present invention, the re-judgment strategy is: through the formula Calculate the stability value of the equipment in the transmission node ;

[0087] The stable value obtained The stability threshold preset by the system To compare:

[0088] when When the maintenance instruction is generated;

[0089] Otherwise, the device is considered normal.

[0090] Through the above technical solution, when power supply anomaly is detected, and the risk value of the device is very low, it is impossible to find out which device has a problem. Therefore, it is necessary to judge the stability value of the equipment in the entire node. Specifically, the formula Calculate the stable value of the risk value of the equipment in the transmission node , it can be seen from the formula that when V is smaller, the device in the node is more stable, so the stable value obtained is The stability threshold preset by the system Compare: When When the device is in poor overall stability, it indicates that all devices in the node need to be maintained uniformly. At this time, a maintenance instruction is generated to maintain all devices in the node to ensure that the equipment operates normally in the future and the power supply quality is guaranteed.

[0091] As an embodiment of the present invention, the analysis method of the analysis judgment module further includes:

[0092] Under normal power supply conditions, the formula Calculate the temperature risk value of each device ;

[0093] when When the warning instruction is generated;

[0094] in, The standard threshold temperature change curve preset for the system over time. The temperature reference function preset by the system, is the ambient temperature, Standard threshold temperatures preset for the system.

[0095] Through the above technical solution, the present invention provides a method for judging the potential risks of power supply equipment. When the power supply of the equipment is normal, although no alarm occurs, the alarm has a threshold critical point, that is, the alarm will not occur until the critical point of the risk threshold is reached. However, if the equipment is always operating in a state close to the critical point but not reaching the critical point, it will cause damage to the equipment for a long time. Therefore, when the power supply of the power supply equipment is normal, the temperature change of the equipment is analyzed, and the formula is used to determine the potential risk of the power supply equipment. Calculate the temperature risk value of each device , compare the obtained temperature risk value with the standard threshold temperature preset by the system. When the temperature is below the alarm level, it indicates that the equipment is in a sub-alarm temperature state for a long time. In order to ensure the operation of the equipment, an early warning instruction is generated to warn the equipment. Through this operation, potential problems of the equipment can be judged under normal power supply conditions, so that equipment with potential problems can be warned in a timely manner to reduce the risk of equipment damage and ensure power supply quality.

[0096] In the above technical solution, the temperature reference function preset by the system The system preset standard threshold temperature can be formulated after testing at different ambient temperatures , The system preset standard threshold temperature change curve over time It can be formulated based on relevant historical data in big data, which will not be elaborated in detail here.

[0097] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A plain multi-energy integrated power generation and power supply monitoring platform, characterized in that: The monitoring platform comprises: A node monitoring and collection module, wherein the node monitoring and collection module collects electrical parameter information of each transmission node according to the position relationship of the transmission node; A device monitoring and collection module, which is used to obtain temperature information and power information of devices in each transmission node; An analysis and judgment module, which analyzes the collected electrical parameter information, temperature information, and electric energy information to determine whether there is a power supply anomaly in the power supply equipment in the transmission node, and generates a corresponding warning signal; An execution module, wherein the execution module generates a corresponding alarm instruction according to the early warning signal; The analysis method of the analysis and judgment module includes: in the case of abnormal power supply, obtaining the time ∆t, through the formula Find the risk value of the mth device ; The risk value you will get The risk threshold interval preset by the system To compare: when When , a re-judgment strategy is generated; when When a warning signal is generated, in, is the power supply status value of each device, is the temperature status value of each device, as well as are their respective weight coefficients; The power supply status value The acquisition method is: within the ∆t time, obtain the curve of the electric energy received by each device over time , and the curve of the electric energy released by each device changing with time , By formula Calculate the power supply status value of each power supply device; in, as well as is the weight coefficient, For the time ∆t The maximum value of For the time ∆t The minimum value of is the amount of electrical energy received by the device, The amount of electrical energy discharged by the equipment; The temperature condition value The acquisition method is: within the ∆t time, obtain the temperature change curve of each device over time ; By formula Calculate the temperature status value of the mth device ; in, is the current monitoring time point, is the total number of devices, and .

2. A plain multi-energy integrated power generation and power supply monitoring platform according to claim 1, characterized in that: The method for the analysis and judgment module to perform analysis and judgment is: Within a period of time ∆t, obtain the electrical energy output by the previous transmission node , and the electrical energy output by the current transmission node , By formula Find the power loss coefficient of the nth transmission node ; when When , it is considered that the power supply is abnormal; Otherwise, the power supply is considered normal; in, The preset power loss threshold for the nth transmission node.

3. A plain multi-energy integrated power generation and power supply monitoring platform according to claim 2, characterized in that: The alarm instructions include early warning instructions and maintenance instructions; when When the warning instruction is generated; when A maintenance instruction is generated.

4. A plain multi-energy integrated power generation and power supply monitoring platform according to claim 3, characterized in that: The re-judgment strategy is: By formula Calculate the stability value of the equipment in the transmission node ; The stable value obtained The stability threshold preset by the system To compare: when When the maintenance instruction is generated; Otherwise, the device is considered normal.

5. A plain multi-energy integrated power generation and power supply monitoring platform according to claim 4, characterized in that: The analysis method of the analysis and judgment module also includes: Under normal power supply conditions, the formula Calculate the temperature risk value of each device ; when When the warning instruction is generated; in, The standard threshold temperature change curve preset for the system over time. The temperature reference function preset by the system, is the ambient temperature, Standard threshold temperatures preset for the system.

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