Power grid information operation and maintenance active early warning method and system

Abstract

The invention provides a power grid information operation and maintenance active early warning method and system, and relates to the technical field of power grid early warning, and the method specifically comprises the steps: S1, enabling detection equipment to be distributed at each node of a power grid, collecting the basic parameters of the power grid and the environmental parameters of the power grid of any node, the power grid environment parameters comprise temperature and humidity; s2, data processing is carried out on the line voltage and the line current of the power grid of any node, and a power factor and a line load rate are generated. The detection equipment is distributed at each node of the power grid, the power grid basic parameters and the power grid environment parameters of any node are acquired, and data processing and analysis are performed on the acquired power grid basic parameters and the power grid environment parameters, so that the delay of data in a transmission process can be remarkably reduced, the response speed of the early warning system is increased, and the early warning efficiency is improved. And meanwhile, the defect that the processing burden and the storage demand of the data processing unit are excessively increased due to centralized transmission of the data to the data processing unit is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid early warning, and in particular to a method and system for active early warning of power grid information operation and maintenance. Background Art

[0002] The power information network is an important foundation for the stable operation of the power grid. In recent years, with the rapid development of the State Grid Corporation of China's informatization construction, the number of the company's information systems has continued to increase, and higher standards and requirements have been put forward for daily operation and maintenance. At present, the passive operation and maintenance mode is mainly adopted, which is to issue alarms and carry out emergency repairs after the failure occurs. This mode causes operation and maintenance personnel to spend most of their daily time and energy on dealing with simple and repetitive "passive firefighting" problems. Not only does it achieve half the result with twice the effort, but it also often leads to vicious chain reactions. The company lacks the ability to provide early warning of the information operation and maintenance system before failures occur, and lacks the ability to locate and analyze operation and maintenance risks. There is an urgent need to implement a proactive operation and maintenance mode with prevention as the main focus.

[0003] In the prior art, the publication number CN114157017A discloses a method for active early warning of power grid information operation and maintenance based on big data, including a power grid information operation and maintenance early warning module based on big data, the power grid information operation and maintenance early warning module based on big data including a data acquisition module, an integration module, an analysis module, an early warning module and a feedback module, and the data acquisition module is connected to the integration module, the integration module is connected to the analysis module, the analysis module is connected to the early warning module, the early warning module is connected to the feedback module, the early warning module and the feedback module are connected to the integration module, the integration module includes a distributed storage module, a big data storage module and a batch processing module, realizing the aggregation, storage and cleaning of multi-source data, and providing batch data and computing services. The present invention is a method for active early warning of power grid information operation and maintenance based on big data, realizing unified management of power grid information resources; efficient analysis and mining of massive power grid information operation and maintenance data; fault location, fault analysis, fault early warning and fault resolution before the fault occurs, thereby comprehensively improving the overall level of power grid information operation and maintenance, bringing better use prospects.

[0004] However, there are still some shortcomings. The above solution transmits the power grid information collected at the node to the integrated module for data storage and processing. Since the transmission takes time, for the power grid system that requires real-time warning, it will cause a warning delay in the power grid status. When the integrated module receives a large amount of data, it will increase the processing burden and storage requirements of the integrated module.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0006] The purpose of the present invention is to provide a method and system for active early warning of power grid information operation and maintenance, so as to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A method for active early warning of power grid information operation and maintenance, comprising the following steps:

[0009] S1. Distribute the detection equipment at each node of the power grid to collect the basic parameters and environmental parameters of the power grid at any node.

[0010] The basic parameters of the power grid include line voltage and line current, and the environmental parameters of the power grid include temperature and humidity;

[0011] S2. Process the collected line voltage and line current of any node of the power grid to generate the power factor and line load rate, and process the collected temperature and humidity of any node of the power grid to generate the temperature index and humidity index;

[0012] S3. The collected line voltage and line current of any node of the power grid are processed and correlated to generate a line status index of any node of the power grid. The collected temperature and humidity of any node of the power grid are processed and correlated to generate a line environment index of any node of the power grid.

[0013] S4. The generated power factor and line load rate are processed and analyzed to generate the first warning coefficient of any node grid, the generated temperature index and humidity index are processed and analyzed to generate the second warning coefficient of any node grid;

[0014] S5. Process and analyze the line status index and line environment index of the power grid at any node to generate a comprehensive risk index of the power grid at any node, compare the comprehensive risk index with the preset comprehensive risk index threshold, compare the first warning coefficient with the preset first warning coefficient threshold, compare the second warning coefficient with the preset second warning coefficient threshold, compare the first warning coefficient and the second warning coefficient, and based on the comparison results, evaluate the risk status of the power grid at any node and issue different warning signals.

[0015] Furthermore, the collected line voltage and line current of any node grid are processed to generate the power factor according to the following formula:

[0016]

[0017] Where PF is the power factor;

[0018] S is the total apparent power;

[0019] POD is the active power of the node;

[0020] Q IP is the reactive power of the node;

[0021] U is the line voltage of the grid at this node;

[0022] I is the line current of the grid at this node;

[0023] θ is the phase difference between the line voltage and the line current;

[0024] The value range of power factor is usually between 0 and 1;

[0025] The collected line voltage and line current of any node of the power grid are processed to generate the line load rate according to the following formula:

[0026]

[0027] Wherein, LLR is the line load ratio;

[0028] P OD is the active power of the node;

[0029] P OD ' is the rated active power of the node.

[0030] Furthermore, the collected temperature and humidity of any node of the power grid are processed to generate a temperature index based on the following formula:

[0031]

[0032] TI is the temperature index;

[0033] T is the temperature of the environment;

[0034] H is the relative humidity of the environment;

[0035] The temperature and humidity of any node in the power grid are collected and processed to generate a humidity index. The formula is as follows:

[0036] HI=T+[0.5555×(e-10.0)]

[0037] HI is the humidity index;

[0038] T is the temperature in Celsius;

[0039] e is the relative humidity.

[0040] Furthermore, the collected line voltage and line current of any node grid are processed and correlated to generate the line status index of any node grid, based on the following formula:

[0041]

[0042] PSI ZT is the line status index of any node power grid;

[0043] θ is the phase difference between the line voltage and the line current;

[0044] The collected temperature and humidity of any node in the power grid are processed and correlated to generate the line environment index of any node in the power grid. The formula is as follows:

[0045]

[0046] Among them, PSI HJ is the line environment index of any node power grid;

[0047] WD is the temperature of the power grid at any node;

[0048] SD is the humidity of the grid at any node;

[0049] α is the factor coefficient of the temperature of any node in the power grid;

[0050] β is the factor coefficient of the humidity of the power grid at any node;

[0051] α>β>0, and α+β=1.

[0052] Furthermore, the generated power factor and line load rate are processed and analyzed to generate the first warning coefficient of any node power grid, based on the following formula:

[0053] YX DY =PF·LLR

[0054] Among them, YX DY is the first warning coefficient of any node power grid;

[0055] The generated temperature index and humidity index are processed and analyzed to generate the second warning coefficient of any node power grid. The formula is as follows:

[0056] YX DE =TI·HI

[0057] Among them, YX DE is the second warning coefficient of any node power grid.

[0058] Furthermore, the line status index and line environment index of any node power grid are processed and analyzed to generate a comprehensive risk index of any node power grid, based on the following formula:

[0059] ZS=δPSI ZT+εPSI HJ

[0060] Among them, ZS is the comprehensive risk index of the power grid at any node, δ is the factor coefficient of the line status index of the power grid at any node, ε is the factor coefficient of the line environment index of the power grid at any node, δ>ε>0, and δ+ε=1.

[0061] Furthermore, the comprehensive risk index is compared with a preset comprehensive risk index threshold, the first warning coefficient is compared with a preset first warning coefficient threshold, the second warning coefficient is compared with a preset second warning coefficient threshold, and the first warning coefficient is compared with the second warning coefficient. Based on the comparison results, the process of evaluating the power grid risk transition of any node and issuing different warning signals is as follows:

[0062] When ZS <YZ,YX DY <YZ DY , YX DE <YZ DE , YX DY <YX DE , then the overall risk of the power grid is low, the power grid is in normal condition, and a green alarm sounds;

[0063] When ZS>YZ, YX DY ≥YZ DY , YX DE ≥YZ DE , YX DY <YX DE , then the comprehensive risk of the power grid is high, and the risk mainly comes from the changes in the power grid environmental parameters, and a red alarm is issued;

[0064] When ZS>YZ, YX DY ≥YZ DY , YX DE ≥YZ DE , YX DY >YX DE , the power grid risk is high, and the risk mainly comes from changes in the basic parameters of the power grid, issuing a red alarm.

[0065] A power grid information operation and maintenance active early warning system, the system being used to execute any of the above-mentioned power grid information operation and maintenance active early warning methods, comprising:

[0066] The node acquisition module is used to distribute the detection equipment at each node of the power grid and collect the basic parameters and environmental parameters of the power grid at any node.

[0067] The basic parameters of the power grid include line voltage and line current, and the environmental parameters of the power grid include temperature and humidity;

[0068] A first data processing module is used to process the collected line voltage and line current of any node of the power grid to generate a power factor and a line load rate, and to process the collected temperature and humidity of any node of the power grid to generate a temperature index and a humidity index;

[0069] A second data processing module is configured to perform data processing and correlation analysis on the collected line voltage and line current of any node power grid to generate a line state index of any node power grid, and to perform data processing and correlation analysis on the collected temperature and humidity of any node power grid to generate a line environment index of any node power grid;

[0070] A data analysis module is used to process and analyze the generated power factor and line load rate to generate a first warning coefficient of any node power grid, and to process and analyze the generated temperature index and humidity index to generate a second warning coefficient of any node power grid;

[0071] The evaluation module is used to process and analyze the line status index and line environment index of any node power grid, generate a comprehensive risk index of any node power grid, compare the comprehensive risk index with a preset comprehensive risk index threshold, compare the first warning coefficient with a preset first warning coefficient threshold, compare the second warning coefficient with a preset second warning coefficient threshold, compare the first warning coefficient with the second warning coefficient, and evaluate the power grid risk status of any node and issue different warning signals based on the comparison results.

[0072] Compared with the prior art, the present invention has the following beneficial effects:

[0073] The present invention distributes detection equipment at various nodes of the power grid, collects basic grid parameters and grid environmental parameters at any node, and delegates node data processing tasks to nodes closer to the data generation point. The collected basic grid parameters and grid environmental parameters are then processed and analyzed, and the grid risk status of any node is assessed and different warning signals are issued. Therefore, during the power grid information warning process, data transmission delays can be significantly reduced, improving the response speed of the warning system while avoiding the drawbacks of excessively increasing the processing burden and storage requirements of the data processing unit due to the centralized transmission of data to the data processing unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 Schematic diagram of the overall method flow of the present invention;

[0075] Figure 2 This is a block diagram of the module composition of the present invention. DETAILED DESCRIPTION

[0076] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to specific embodiments.

[0077] It should be noted that, unless otherwise defined, the technical or scientific terms used in the present invention should have the usual meanings understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative position relationships. When the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0078] Example:

[0079] See also Figure 1 , the present invention provides a technical solution:

[0080] A method for active early warning of power grid information operation and maintenance, comprising the following steps:

[0081] S1. Distribute the detection equipment at each node of the power grid to collect the basic parameters and environmental parameters of the power grid at any node.

[0082] The basic parameters of the power grid include line voltage and line current, and the environmental parameters of the power grid include temperature and humidity;

[0083] S2. Process the collected line voltage and line current of any node of the power grid to generate the power factor and line load rate, and process the collected temperature and humidity of any node of the power grid to generate the temperature index and humidity index;

[0084] S3. The collected line voltage and line current of any node of the power grid are processed and correlated to generate a line status index of any node of the power grid. The collected temperature and humidity of any node of the power grid are processed and correlated to generate a line environment index of any node of the power grid.

[0085] S4. The generated power factor and line load rate are processed and analyzed to generate the first warning coefficient of any node grid, the generated temperature index and humidity index are processed and analyzed to generate the second warning coefficient of any node grid;

[0086] S5. Process and analyze the line status index and line environment index of the power grid at any node to generate a comprehensive risk index of the power grid at any node, compare the comprehensive risk index with the preset comprehensive risk index threshold, compare the first warning coefficient with the preset first warning coefficient threshold, compare the second warning coefficient with the preset second warning coefficient threshold, compare the first warning coefficient and the second warning coefficient, and based on the comparison results, evaluate the risk status of the power grid at any node and issue different warning signals.

[0087] A sharp increase in line voltage and line current in a short period of time will affect the stability of the power grid. The specific reasons are as follows:

[0088] Grid overload: Sudden increases in line voltage and line current may cause grid overload. When the grid bears a load that exceeds its design capacity, it may cause equipment overheating, equipment damage, or even equipment failure, thereby affecting the stability of the grid.

[0089] Frequency offset: Sudden increases in line voltage and current can cause the grid frequency to deviate from the standard value. Stable grid operation requires maintaining a constant frequency. Frequency offset may affect the normal operation of devices and systems connected to the grid.

[0090] Line voltage imbalance: A sudden increase in line voltage may cause line voltage imbalance in the power grid, that is, line voltage imbalance. Line voltage imbalance may cause damage to equipment in the power grid and also affect the power quality of other users in the power grid.

[0091] Power stabilizer failure: Sudden increases in line voltage and line current may cause power stabilizer failure, which will affect the voltage stability in the power grid and thus the overall stability of the power grid.

[0092] System imbalance: Sudden increases in line voltage and line current may cause system imbalance in the power grid, that is, various parameters in the power system are no longer balanced. System imbalance may cause instability in the power grid, such as voltage fluctuations and frequency changes, thereby affecting the stability of the power grid.

[0093] In summary, a sudden and dramatic increase in line voltage and current over a short period of time can cause a variety of problems and threaten the stability of the power grid. Therefore, power system operators need to take measures to monitor and regulate line voltage and current in the grid to ensure stable operation.

[0094] When the temperature and humidity of the power grid exceed a certain range, the stability of the power grid will be affected. The specific reasons are as follows:

[0095] Impact on electrical equipment performance: High temperatures and high humidity can cause performance degradation of electrical equipment. For example, transformers, insulators, and switchgear may overheat in high-temperature environments, reducing their operating efficiency and even causing equipment failure or damage. Excessive humidity can also degrade insulation performance, increasing the risk of electrical equipment breakdown.

[0096] Increased resistance of transmission lines: High temperatures will cause the resistance of transmission lines to increase, because the resistance of the conductor increases with rising temperature, which will lead to increased losses in the transmission lines and reduced transmission efficiency. It will also cause the voltage in the power grid to drop, affecting the stability of the power grid.

[0097] Insulation aging: Insulation materials exposed to high temperature and high humidity environments for a long time are prone to aging and deterioration, resulting in a decrease in insulation performance in the power grid, increasing the risk of electrical equipment failure, and thus affecting the stability of the power grid.

[0098] Risk Management Challenges: Grid operations in high-temperature and high-humidity environments also present increased risk management challenges. For example, extreme weather conditions can cause power equipment failures, impacting the normal operation of the grid. Furthermore, high-temperature and high-humidity environments can also impact the work efficiency and safety of grid personnel.

[0099] Reduced reliability: High temperatures and high humidity can affect power grid equipment, leading to reduced reliability. This can cause grid outages and power outages, impacting users' electricity needs.

[0100] Therefore, if the temperature and humidity of the power grid environment exceed a certain range, it may have a negative impact on the stability of the power grid. Power system operators need to take measures to monitor and manage environmental conditions to ensure the safe and stable operation of the power grid.

[0101] Based on the above embodiment, the collected line voltage and line current of any node of the power grid are processed to generate the power factor according to the following formula:

[0102]

[0103] Where PF is the power factor;

[0104] S is the total apparent power;

[0105] P OD is the active power of the node;

[0106] Q IP is the reactive power of the node;

[0107] U is the line voltage of the grid at this node;

[0108] I is the line current of the grid at this node;

[0109] θ is the phase difference between the line voltage and the line current;

[0110] The power factor value usually ranges between 0 and 1.

[0111] When the power factor is close to 1, it means that the active power of the node accounts for the vast majority of the apparent power, which means that the phases of current and voltage are very close, the power factor of the system is high, and the grid operation is stable;

[0112] When the power factor is close to 0, it means that the active power of the node accounts for only a small part of the apparent power, which means that the node has a large amount of reactive power, the system power factor is low, and the power grid has certain instability or load imbalance problems.

[0113] Therefore, by calculating the numerical value of the power factor, the power balance of the power system nodes can be evaluated.

[0114] The collected line voltage and line current of any node of the power grid are processed to generate the line load rate according to the following formula:

[0115]

[0116] Wherein, LLR is the line load ratio;

[0117] P OD is the active power of the node;

[0118] P OD ' is the rated active power of the node;

[0119] When the line load factor approaches 100%, it means that the actual load of the line is close to its rated load. In this case, the line may have approached or reached the upper limit of its carrying capacity. If the load continues to be higher than the rated value, it may cause line overload, thereby increasing the risk of equipment damage and system failure.

[0120] When the line load factor is far below 100%, it indicates that the actual load of the line is far below its rated load. In this case, the line may have a certain amount of excess capacity, but it may also indicate that the line is underloaded, which may lead to waste of power system resources or unbalanced load distribution.

[0121] To summarize, the closer the line load rate is to 100%, the closer the line is to its rated load, and the greater the pressure on the system operation may be; while a lower line load rate may indicate that the system has surplus capacity or an unbalanced load distribution.

[0122] Based on the above embodiment, the collected temperature and humidity of any node of the power grid are processed to generate a temperature index according to the following formula:

[0123]

[0124] TI is the temperature index;

[0125] T is the ambient temperature (degrees Celsius);

[0126] H is the relative humidity of the environment (percentage).

[0127] The increase in the temperature index means an increase in ambient temperature and humidity, which leads to an increase in the operating temperature of power grid equipment. If the equipment runs in a high-temperature environment for a long time, it will increase the load and loss of the equipment, reduce the performance and stability of the equipment, and thus affect the stable operation of the power grid.

[0128] In high temperature environments, power grid equipment requires more energy to maintain operation and cooling. A higher temperature index means that equipment in the power grid requires additional cooling or temperature reduction measures, which will increase the energy consumption and operating costs of the power grid.

[0129] Long-term exposure to high temperature will reduce the service life of power grid equipment. Long-term exposure of equipment in the power grid to high temperature will cause aging, corrosion and damage to the equipment, thereby reducing the reliability and life of the equipment and increasing the cost of equipment replacement and maintenance.

[0130] Based on the above embodiment, the temperature and humidity of any node of the power grid are collected and processed to generate a humidity index according to the following formula:

[0131] HI=T+[0.5555×(e-10.0)]

[0132] HI is the humidity index;

[0133] T is the temperature in Celsius;

[0134] e is the relative humidity (expressed in percentage).

[0135] The increase in humidity index leads to an increase in ambient humidity, which affects the insulation performance in the power grid. A high humidity environment will increase the moisture content of the insulating materials of electrical equipment and reduce their insulation performance, thereby increasing the risk of equipment failure and electrical accidents.

[0136] High humidity can accelerate the corrosion of metal components in power grid equipment. Exposure to high humidity increases the risk of corrosion, shortening the equipment's service life. Therefore, appropriate corrosion prevention measures are necessary to protect power grid equipment.

[0137] In a high humidity environment, water film and dirt will accumulate on the surface of power grid insulators, affecting their insulation performance. The dirt on the insulator surface will increase the risk of discharge and flashover of the insulator, thereby affecting the safe operation of the power grid.

[0138] In a high humidity environment, moisture in the air will affect the cooling efficiency of power grid equipment. Increased humidity will reduce the heat dissipation efficiency of the equipment, causing equipment overheating and performance degradation, thereby affecting the stable operation of the power grid.

[0139] In summary, the humidity index will affect the insulation performance, corrosion risk, insulator contamination and equipment cooling efficiency of the power grid.

[0140] Based on the above embodiment, the collected line voltage and line current of any node power grid are processed and correlated to generate the line state index of any node power grid according to the following formula:

[0141]

[0142] PSI ZT is the line status index of any node power grid;

[0143] θ is the phase difference between the line voltage and the line current.

[0144] The line condition index is one of the indicators used to measure the working status of a circuit. It is usually calculated by analyzing the phase difference between voltage and current, and can also be indirectly reflected by the power factor.

[0145] Specifically, when the power factor is close to 1, it means that the useful power of the circuit accounts for a high proportion of the total apparent power, the circuit is in good working condition, and the line state index is close to 1; when the power factor deviates from 1, it means that there is a certain proportion of reactive power in the circuit, and there may be energy loss. At this time, the line state index will deviate from 1.

[0146] Therefore, the power factor can be regarded as a measure of the line condition index, and there is a direct correlation between them. In the power system, by monitoring the power factor, the working status of the circuit can be indirectly understood.

[0147] Based on the above embodiment, the collected temperature and humidity of any node power grid are processed and correlated to generate the line environment index of any node power grid, according to the following formula:

[0148]

[0149] Among them, PSI HJ is the line environment index of any node power grid;

[0150] WD is the temperature of the power grid at any node;

[0151] SD is the humidity of the grid at any node;

[0152] α is the factor coefficient of the temperature of any node in the power grid;

[0153] β is the factor coefficient of the humidity of the power grid at any node;

[0154] α>β>0, and α+β=1.

[0155] Using the average value of temperature and humidity as the line environment index is a simplified way to comprehensively consider the impact of temperature and humidity on the power grid environment. Although this method may ignore some complex environmental changes, in some cases, such simplification can evaluate the working environment of the power grid circuit.

[0156] First, temperature has a more significant impact on the circuit environment than humidity. For example, in a high-temperature environment, circuits and devices may be more likely to overheat, affecting their performance and lifespan. Therefore, to more accurately reflect the state of the circuit environment, a higher weight can be given to temperature.

[0157] Second, depending on the characteristics and needs of a specific working environment, you may pay more attention to temperature changes. For example, in some areas or certain application scenarios, temperature fluctuations may be larger, while humidity fluctuations are relatively small, so you pay more attention to the impact of temperature.

[0158] To summarize, we set α>β>0, and when other factors are not considered, we set α+β=1.

[0159] Based on the above embodiment, the generated power factor and line load rate are processed and analyzed to generate the first warning coefficient of any node power grid, according to the following formula:

[0160] YX DY =PF·LLR

[0161] Among them, YX DY It is the first warning coefficient of any node power grid.

[0162] A high power factor indicates that the ratio of useful power to total apparent power in a circuit is high, meaning that the circuit's energy utilization is high. Therefore, a high power factor generally has a positive impact on system operation.

[0163] A high line load factor indicates that the circuit is currently under heavy load, possibly approaching or exceeding its design load capacity, posing an overload risk. Therefore, a high line load factor generally has a negative impact on system operation.

[0164] Therefore, through the product relationship, multiplying the power factor and the line load rate can intuitively reflect the impact of the two on the first warning coefficient. This product relationship reflects the causal relationship between them, that is, changes in the power factor and the line load rate will directly affect the changes in the first warning coefficient.

[0165] Based on the above embodiment, the generated temperature index and humidity index are processed and analyzed to generate a second warning coefficient for any node power grid, according to the following formula:

[0166] YX DE =TI·HI

[0167] Among them, YX DE is the second warning coefficient of any node power grid.

[0168] When the temperature index increases, it means the temperature is rising. This can cause electrical equipment to overheat, increase line resistance, and reduce transmission efficiency, thereby increasing the risk of grid operation. Therefore, the higher the temperature index, the greater the negative impact on the grid's operation.

[0169] When the humidity index increases, it means that the humidity is rising. Rising humidity will increase the speed of insulation aging of equipment, leading to an increase in equipment failure rate, thus affecting the reliability of the power grid. Therefore, the higher the humidity index, the greater the negative impact on the operation of the power grid.

[0170] Therefore, by multiplying the temperature index and humidity index together, we can intuitively reflect their combined impact on the second warning coefficient. This multiplication relationship allows us to comprehensively consider the impact of temperature and humidity on the operation of the power grid, rather than analyzing them separately.

[0171] Based on the above embodiment, the line status index and line environment index of any node power grid are processed and analyzed to generate a comprehensive risk index of any node power grid, according to the following formula:

[0172] ZS=δPSI ZT +εPSI HJ

[0173] Among them, ZS is the comprehensive risk index of the power grid at any node, δ is the factor coefficient of the line status index of the power grid at any node, ε is the factor coefficient of the line environment index of the power grid at any node, δ>ε>0, and δ+ε=1.

[0174] The Line Condition Index generally reflects the operational status of equipment and lines within the power grid, such as load conditions and equipment aging. These factors directly impact the safety and reliability of the power grid. Therefore, a high Line Condition Index indicates poor equipment operation and potential safety hazards, significantly impacting the overall risk index.

[0175] In contrast, the line environment index reflects more of the impact of external environmental factors (such as temperature and humidity) on the power grid. While environmental factors are also important, their scope and extent of impact are generally smaller, and are not as direct and significant as the impact of equipment status on the overall risk of the power grid.

[0176] Therefore, it is set that δ>ε>0, and when other factors are not considered, it is set that δ+ε=1.

[0177] On the basis of the above embodiment, the comprehensive risk index is compared with the preset comprehensive risk index threshold, the first warning coefficient is compared with the preset first warning coefficient threshold, the second warning coefficient is compared with the preset second warning coefficient threshold, and the first warning coefficient is compared with the second warning coefficient. Based on the comparison results, the process of evaluating the power grid risk transition of any node and issuing different warning signals is as follows:

[0178] When ZS <YZ,YX DY <YZ DY , YX DE <YZ DE , YX DY <YX DE , then the overall risk of the power grid is low, the power grid is in normal condition, and a green alarm sounds;

[0179] When ZS>YZ, YX DY ≥YZ DY , YX DE ≥YZ DE , YX DY <YX DE , then the overall risk of the power grid is high, and the risk mainly comes from changes in power grid environmental parameters (such as temperature and humidity), and a red alarm is issued;

[0180] When ZS>YZ, YX DY ≥YZ DY , YX DE ≥YZ DE , YX DY >YX DE , the power grid risk is high, and the risk mainly comes from changes in basic power grid parameters (such as line voltage and line current), and a red alarm is issued.

[0181] The comprehensive risk index threshold is used to assess the overall risk level of a node. The comprehensive risk index combines multiple factors, such as basic grid parameters and grid environmental parameters. The comprehensive risk index threshold is usually set as a percentage or a score from 0 to 1, where higher values ​​indicate higher risk. For example, the comprehensive risk index threshold might be set at 0.7 or 70%, exceeding which the risk is considered high.

[0182] The first warning coefficient threshold is used to focus on a specific type of risk, such as the risk caused by increased line voltage and line current. The threshold is set based on historical data and expected safety standards, such as 0.3 or 30%, to indicate the risk of the power grid caused by changes in internal parameters.

[0183] The second warning coefficient threshold is used to focus on another type of risk, such as the power grid risk caused by increased temperature and humidity. The second warning coefficient threshold is different from the first warning coefficient threshold and is set according to different focus points. The second warning coefficient threshold can be 0.5 or 50%, which is used to indicate the risk of the power grid caused by changes in external environmental factors.

[0184] The specific values ​​of α, β, δ and ε in the formula are generally determined by technical personnel in this field based on actual conditions. The essence of this formula is a comprehensive analysis based on weighted summation. Technical personnel in this field collect multiple groups of sample data and set corresponding preset proportional coefficients for each group of sample data. The preset proportional coefficients and the collected sample data are substituted into the formula. Through repeated experiments and parameter adjustments, the accuracy of the model output and the rationality of the results are observed, and these factor coefficients are gradually adjusted. The performance and effect of the model under different parameter settings are compared to find the optimal coefficient combination. The calculated factor coefficients are screened and averaged to obtain the values ​​of α, β, δ and ε.

[0185] In addition, the size of the preset factor coefficient is a specific numerical value obtained by quantizing each parameter. In order to facilitate subsequent comparison, the size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding preset proportional coefficient for each set of sample data by technical personnel in this field. It is not unique, as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0186] See Figure 2 , the present invention also provides a technical solution:

[0187] A power grid information operation and maintenance active early warning system, the system being used to execute any of the above-mentioned power grid information operation and maintenance active early warning methods, comprising:

[0188] The node acquisition module is used to distribute the detection equipment at each node of the power grid and collect the basic parameters and environmental parameters of the power grid at any node.

[0189] The basic parameters of the power grid include line voltage and line current, and the environmental parameters of the power grid include temperature and humidity;

[0190] A first data processing module is used to process the collected line voltage and line current of any node of the power grid to generate a power factor and a line load rate, and to process the collected temperature and humidity of any node of the power grid to generate a temperature index and a humidity index;

[0191] A second data processing module is configured to perform data processing and correlation analysis on the collected line voltage and line current of any node power grid to generate a line state index of any node power grid, and to perform data processing and correlation analysis on the collected temperature and humidity of any node power grid to generate a line environment index of any node power grid;

[0192] A data analysis module is used to process and analyze the generated power factor and line load rate to generate a first warning coefficient of any node power grid, and to process and analyze the generated temperature index and humidity index to generate a second warning coefficient of any node power grid;

[0193] The evaluation module is used to process and analyze the line status index and line environment index of any node power grid, generate a comprehensive risk index of any node power grid, compare the comprehensive risk index with a preset comprehensive risk index threshold, compare the first warning coefficient with a preset first warning coefficient threshold, compare the second warning coefficient with a preset second warning coefficient threshold, compare the first warning coefficient with the second warning coefficient, and evaluate the power grid risk status of any node and issue different warning signals based on the comparison results.

[0194] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0195] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software depends on the specific application and design constraints of the technical solution.

[0196] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, and may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment as needed.

[0197] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A method for active early warning of power grid information operation and maintenance, characterized in that: The specific steps include: S1. The detection equipment is distributed at each node of the power grid to collect basic grid parameters and grid environmental parameters at any node, where the basic grid parameters include line voltage and line current, and the grid environmental parameters include temperature and humidity; S2. Process the collected line voltage and line current of any node of the power grid to generate the power factor and line load rate, and process the collected temperature and humidity of any node of the power grid to generate the temperature index and humidity index; S3. The collected line voltage and line current of any node of the power grid are processed and correlated to generate a line status index of any node of the power grid. The collected temperature and humidity of any node of the power grid are processed and correlated to generate a line environment index of any node of the power grid. S4. The generated power factor and line load rate are processed and analyzed to generate the first warning coefficient of any node grid, the generated temperature index and humidity index are processed and analyzed to generate the second warning coefficient of any node grid; S5. Process and analyze the line status index and line environment index of the power grid at any node to generate a comprehensive risk index of the power grid at any node, compare the comprehensive risk index with the preset comprehensive risk index threshold, compare the first warning coefficient with the preset first warning coefficient threshold, compare the second warning coefficient with the preset second warning coefficient threshold, compare the first warning coefficient and the second warning coefficient, and based on the comparison results, evaluate the risk status of the power grid at any node and issue different warning signals.

2. The active early warning method for power grid information operation and maintenance according to claim 1, characterized in that: The collected line voltage and line current of any node of the power grid are processed to generate the power factor according to the following formula: Where PF is the power factor; S is the total apparent power; P OD is the active power of the node; Q IP is the reactive power of the node; U is the line voltage of the grid at this node; I is the line current of the grid at this node; θ is the phase difference between the line voltage and the line current; The value range of power factor is usually between 0 and 1; The collected line voltage and line current of any node of the power grid are processed to generate the line load rate according to the following formula: Wherein, LLR is the line load ratio; P OD is the active power of the node; P OD , is the rated active power of the node.

3. The active early warning method for power grid information operation and maintenance according to claim 1, characterized in that: The collected temperature and humidity of any node in the power grid are processed to generate a temperature index based on the following formula: TI is the temperature index; T is the temperature of the environment; H is the relative humidity of the environment; The temperature and humidity of any node in the power grid are collected and processed to generate a humidity index. The formula is as follows: HI=T+[0.5555×(e-10.0)] HI is the humidity index; T is the temperature in Celsius; e is the relative humidity.

4. The active early warning method for power grid information operation and maintenance according to claim 1, characterized in that: The collected line voltage and line current of any node power grid are processed and correlated to generate the line status index of any node power grid. The formula is as follows: PSI ZT is the line status index of any node power grid; θ is the phase difference between the line voltage and the line current; The collected temperature and humidity of any node in the power grid are processed and correlated to generate the line environment index of any node in the power grid. The formula is as follows: Among them, PSI HJ is the line environment index of any node power grid; WD is the temperature of the power grid at any node; SD is the humidity of the grid at any node; α is the factor coefficient of the temperature of any node in the power grid; β is the factor coefficient of the humidity of the power grid at any node; α>β>0, and α+β=1.

5. The active early warning method for power grid information operation and maintenance according to claim 1 is characterized by: The generated power factor and line load rate are processed and analyzed to generate the first warning coefficient of any node power grid. The formula is as follows: YX DY =PF·LLR Among them, YX DY is the first warning coefficient of any node power grid; The generated temperature index and humidity index are processed and analyzed to generate the second warning coefficient of any node power grid. The formula is as follows: YX DE =TI·HI Among them, YX DE is the second warning coefficient of any node power grid.

6. The active early warning method for power grid information operation and maintenance according to claim 1, characterized in that: The line status index and line environment index of any node power grid are processed and analyzed to generate the comprehensive risk index of any node power grid. The formula is as follows: ZS=δPSI ZT +εPSI HJ Among them, ZS is the comprehensive risk index of the power grid at any node, δ is the factor coefficient of the line status index of the power grid at any node, ε is the factor coefficient of the line environment index of the power grid at any node, δ>ε>0, and δ+ε=1.

7. The active early warning method for power grid information operation and maintenance according to claim 6, characterized in that: The process of comparing the comprehensive risk index with the preset comprehensive risk index threshold, comparing the first warning coefficient with the preset first warning coefficient threshold, comparing the second warning coefficient with the preset second warning coefficient threshold, and comparing the first warning coefficient with the second warning coefficient, and evaluating the power grid risk transition of any node and issuing different warning signals based on the comparison results is as follows: When ZS <YZ,YX DY <YZ DY , YX DE <YZ DE , YX DY <YX DE , then the overall risk of the power grid is low, the power grid is in normal condition, and a green alarm sounds; When ZS>YZ, YX DY ≥YZ DY , YX DE ≥YZ DE , YX DY <YX DE , then the comprehensive risk of the power grid is high, and the risk mainly comes from the changes in the power grid environmental parameters, and a red alarm is issued; When ZS>YZ, YX DY ≥YZ DY , YX DE ≥YZ DE , YX DY >YX DE , the power grid risk is high, and the risk mainly comes from changes in the basic parameters of the power grid, issuing a red alarm.

8. A power grid information operation and maintenance active early warning system, the system being used to execute the power grid information operation and maintenance active early warning method according to any one of claims 1 to 7, characterized in that: include: The node acquisition module is used to distribute the detection equipment at each node of the power grid and collect the basic parameters and environmental parameters of the power grid at any node. The basic parameters of the power grid include line voltage and line current, and the environmental parameters of the power grid include temperature and humidity; A first data processing module is used to process the collected line voltage and line current of any node of the power grid to generate a power factor and a line load rate, and to process the collected temperature and humidity of any node of the power grid to generate a temperature index and a humidity index; A second data processing module is configured to perform data processing and correlation analysis on the collected line voltage and line current of any node power grid to generate a line state index of any node power grid, and to perform data processing and correlation analysis on the collected temperature and humidity of any node power grid to generate a line environment index of any node power grid; A data analysis module is used to process and analyze the generated power factor and line load rate to generate a first warning coefficient of any node power grid, and to process and analyze the generated temperature index and humidity index to generate a second warning coefficient of any node power grid; The evaluation module is used to process and analyze the line status index and line environment index of any node power grid, generate a comprehensive risk index of any node power grid, compare the comprehensive risk index with a preset comprehensive risk index threshold, compare the first warning coefficient with a preset first warning coefficient threshold, compare the second warning coefficient with a preset second warning coefficient threshold, compare the first warning coefficient with the second warning coefficient, and evaluate the power grid risk status of any node and issue different warning signals based on the comparison results.

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