A new method for analyzing distribution network security in power system construction

Abstract

The present invention belongs to the technical field of distribution network safety analysis, and relates to a distribution network safety analysis method in the construction of a new type of power system. The present invention compares and analyzes the power loss ratio coefficient of the distribution network in the transmission process with the average loss ratio coefficient. If there is an abnormality in the distribution network, the power loss coefficient of the distribution network line caused by the current environmental factors is analyzed and processed to obtain the influence of the current environmental factors on the distribution network line, and each qualified temporary power consumption event of the distribution network is analyzed to obtain the abnormal situation of each qualified temporary power consumption event, and an early warning is issued. The present invention effectively optimizes the configuration of power resources, reduces resource waste, and maximizes resource utilization efficiency. The present invention can monitor the abnormal situation of power in real time. Once an abnormal situation or a fault is detected, it can quickly perform positioning processing, effectively reducing the occurrence rate of power accidents and greatly improving the operation safety of the distribution network.

Description

Technical Field

[0001] The invention belongs to the technical field of distribution network security analysis and relates to a new distribution network security analysis method in the construction of a power system. Background Art

[0002] With the rapid development and modernization of the power industry, the safety of distribution networks has received more and more attention. Traditional distribution network safety analysis methods can no longer meet the current needs of distribution network safety. In order to ensure the safe operation of distribution networks, various new technologies, methods and equipment are adopted to improve their safety and stability, prevent and reduce accidents, and ensure reliable power supply of power systems.

[0003] Traditional distribution network safety analysis methods do not obtain historical distribution network power loss information, but only analyze the preset distribution network power loss information with the current distribution network power loss information. The data obtained in this way is extremely inaccurate, which is extremely dangerous to the distribution network lines and may cause equipment damage.

[0004] Traditional distribution network safety analysis methods cannot accurately obtain the cause of abnormal power loss in the distribution network circuit. When power loss occurs, personnel are only dispatched to inspect and repair. The efficiency is extremely low and it is often impossible to immediately discover and issue warnings, resulting in a large amount of power loss.

[0005] Traditional distribution network safety analysis methods do not strictly supervise temporary power consumption events in distribution networks. There is a history of unqualified temporary power consumption events in distribution networks, resulting in the expected power consumption and actual power of temporary power consumption events in distribution networks being inconsistent with the applied power consumption and load power. Distribution networks are prone to overloads and short circuits, which may lead to safety problems such as equipment damage and fire, and may also affect the stable operation of the entire power grid. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a new distribution network security analysis method in power system construction is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a new distribution network security analysis method in the construction of a power system, comprising the following steps: Step 1, distribution network power data acquisition: obtain the input power and the power usage of each user end in a set time period in the distribution network, and obtain the power loss ratio coefficient of the distribution network during the transmission process.

[0008] Step 2: Obtaining historical power distribution network data: Obtain the input power in the distribution network and the historical power usage of each user end within the set historical time period, and obtain the average power loss ratio coefficient of the distribution network during the transmission process.

[0009] Step 3: Power loss analysis of distribution network lines: Compare and analyze the power loss ratio coefficient of the distribution network during transmission with the average loss ratio coefficient to obtain the power loss influence coefficient of the distribution network lines. If the power loss influence coefficient of the distribution network lines is greater than the preset reference coefficient of power loss influence of the distribution network lines, proceed to step 4, otherwise proceed to step 7.

[0010] Step 4. Analysis of abnormal factors of power loss in distribution network lines: Obtain the impact data of current environmental factors on distribution network lines, and obtain the power loss coefficient of current environmental factors on distribution network lines. If the power loss coefficient of current environmental factors on distribution network lines is greater than the preset reference coefficient of power loss of environmental factors on distribution network lines, proceed to step 5, otherwise proceed to step 7.

[0011] Step 5. Analysis of temporary power consumption on distribution network lines: obtain all approved temporary power consumption events in the power system, screen each approved temporary power consumption event in the distribution network, record it as each designated temporary power consumption event, and obtain the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network. If the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network is greater than the average power loss ratio coefficient of the distribution network during the transmission process, proceed to step 6, otherwise proceed to step 7.

[0012] Step 6: Analysis of abnormal distribution network lines: Send out drones to check the distribution network lines one by one and issue early warnings

[0013] Step 7: Feedback on power loss in the distribution network: Feedback on the power loss in the distribution network being in a normal loss state.

[0014] Based on the above embodiment, the specific analysis process of step 1 is as follows: the input power and the power consumption of each user terminal in the set time period in the distribution network are retrieved from the distribution network backend terminal, and they are recorded as d, b respectively. i , i represents the number corresponding to the i-th user terminal, i=1,2,...,n, through the formula The power loss proportional coefficient α of the distribution network during the transmission process is obtained.

[0015] Based on the above embodiment, the specific analysis process of step 2 is as follows: the input power and the power consumption of each user terminal in the historical time period set in the distribution network are retrieved from the distribution network backend terminal, and they are recorded as d0, b′ respectively. i , i represents the number corresponding to the i-th user terminal, i=1,2,...,n, through the formula The average power loss ratio coefficient β of the distribution network during the transmission process is obtained.

[0016] Based on the above embodiment, the specific analysis process of step three is: compare the power loss ratio coefficient of the distribution network during the transmission process with the average loss ratio coefficient, and use the formula The influence coefficient of power loss of distribution network line is obtained, where e is a natural constant and ζ is the power loss deviation threshold of the distribution network during the transmission process.

[0017] The distribution network line power loss impact coefficient is compared with the preset distribution network line power loss impact reference coefficient. If the distribution network line power loss impact coefficient is greater than the distribution network line power loss impact reference coefficient, the distribution network line power loss is abnormal, otherwise the distribution network line power loss is normal.

[0018] Based on the above embodiment, the environmental factors on the power distribution network line include temperature, humidity, wind speed and pollutant concentration.

[0019] Based on the above embodiment, the specific analysis process of step 4 is as follows: obtain the ambient temperature of each monitoring point on the current distribution network line, and record it as T s , s represents the number corresponding to the sth monitoring point, s=1,2,...,o, obtain the current at the input end of the current distribution network from the distribution network backend terminal, record it as I, and pass The influence coefficient δ of ambient temperature on power loss of distribution network line is obtained T ,T0 represents the suitable ambient temperature on the preset distribution network line, R0 represents the resistance corresponding to the suitable temperature on the distribution network line stored in the database, C represents the temperature coefficient of the resistance around the preset distribution network line, P0 represents the rated power around the preset distribution network line, and o represents the number of monitoring points on the previous distribution network line.

[0020] Get the ambient humidity of each monitoring point on the current distribution network line and record it as A s , extract the capacitance corresponding to the ambient humidity of each monitoring point on the current distribution network line from the database and record it as f s , through the formula The influence coefficient δ of ambient humidity on power loss of distribution network lines is obtained A , A0 represents the suitable ambient humidity around the preset distribution network line, and f0 represents the capacitance corresponding to the suitable ambient humidity around the preset distribution network line.

[0021] Get the wind speed of each monitoring point on the current distribution network line and record it as v s , obtain the vibration amplitude of each monitoring point on the current distribution network line, and record it as h s , through the formula The influence coefficient δ of wind speed on power loss of distribution network line is obtained v, v0 represents the suitable wind speed around the preset distribution network line, and h0 represents the allowable vibration amplitude on the preset distribution network line.

[0022] Get the concentration of environmental pollutants at each monitoring point on the current distribution network line and record it as g s , extract the air conductivity and surface resistance corresponding to the pollutant concentration of each monitoring point on the current distribution network from the database, and record them as ε s and R″ s , through the formula The influence coefficient δ of pollutant concentration on power loss of distribution network line is obtained g , g0 represents the pollutant concentration threshold around the preset distribution network line, ε0 and R″0 represent the air conductivity and surface resistance corresponding to the allowable pollutant concentration around the preset distribution network line, respectively.

[0023] Based on the above embodiment, the specific analysis process of step 4 also includes: The power loss coefficient δ of the distribution network lines caused by the current environmental factors is obtained.

[0024] The power loss coefficient of the current environmental factors on the distribution network lines is compared with the preset power loss reference coefficient of the environmental factors on the distribution network lines. If the power loss coefficient of the current environmental factors on the distribution network lines is less than or equal to the preset power loss reference coefficient of the environmental factors on the distribution network lines, then the power loss of the current environmental factors on the distribution network lines is normal; otherwise, the power loss of the current environmental factors on the distribution network lines is abnormal.

[0025] On the basis of the above-mentioned embodiment, the method for obtaining all the qualified temporary power consumption events in the power system is as follows: obtaining each temporary power consumption event to be approved from the power system, extracting the estimated power consumption and actual power consumption of each temporary power consumption application in the applicant history of each temporary power consumption event to be approved, as well as the load power and actual power used of the line during use from the database; when the estimated power consumption of each temporary power consumption application in the applicant history of a temporary power consumption event to be approved is greater than the actual power consumption and the load power of the line during use is greater than the actual power used, then the credit qualification coefficient of the temporary power consumption event to be approved is recorded as μ1; otherwise, the credit qualification coefficient of the temporary power consumption event to be approved is recorded as μ2; the credit qualification coefficients μ of each temporary power consumption event to be approved are calculated. k , k represents the number corresponding to the kth temporary power consumption event to be approved, k=1,2,...,w,μ k is μ1 or μ2.

[0026] It should be noted that μ1 can take the value of 1 and μ2 can take the value of 0.

[0027] Obtain each pending temporary power consumption event from the power system, count the borrowing locations and estimated power consumption of each pending temporary power consumption event, obtain the lines connected to each pending temporary power consumption event through the borrowing locations of each pending temporary power consumption event, obtain the power of the lines connected to each pending temporary power consumption event, and record it as P k According to the power consumption and power supply of each access line for temporary power events to be approved, the surplus power of each access line for temporary power events to be approved is obtained, which is recorded as U′ k , extract the estimated power consumption of each pending temporary power consumption event from the database and record it as U k , through the formula Get the safety coefficient γ of each temporary power use event to be approved k , P′ k It is represented by the load power of the access line for the kth temporary power consumption event to be approved.

[0028] The safety coefficient of each temporary power use event to be approved is compared with the preset safety reference coefficient. When the safety coefficient of the temporary power use event to be approved is greater than the preset safety reference coefficient, the temporary power use event to be approved is an approved event, and all approved temporary power use events are counted.

[0029] On the basis of the above embodiment, the method for obtaining the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network is as follows: extract the estimated power consumption of each designated temporary power consumption event from the database and record it as U′ a , a represents the ath designated temporary power supply

[0030] The number corresponding to the event, a=1,2,...,t, is obtained by the formula The power loss ratio coefficient of the distribution network is obtained when each designated temporary power consumption event is added to the distribution network.

[0031] Based on the above embodiment, the specific analysis process of step six also includes: comparing the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network with the average power loss ratio coefficient of the distribution network during the transmission process; when the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network is greater than the average power loss ratio coefficient of the distribution network during the transmission process, a drone is dispatched for investigation.

[0032] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention accurately determines the cause of power loss in the distribution network by analyzing the influence coefficient of power loss of distribution network lines, the power loss coefficient of distribution network lines caused by current environmental factors, and the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network. Personnel can be dispatched in time to repair the power loss, which greatly saves power loss, greatly improves the efficiency of power loss investigation, and maintains the safety and normal operation of the distribution network.

[0033] 2. The present invention compares and analyzes the power loss ratio coefficient of the distribution network during the transmission process with the average loss ratio coefficient to obtain the power loss influence coefficient of the distribution network line. By analyzing the power loss influence coefficient of the distribution network line, the accuracy of data acquisition is greatly improved, which helps to reduce the failure rate of the distribution network and improve the overall safety of the power system.

[0034] 3. The present invention analyzes and processes the power loss coefficient of the distribution network line due to the current environmental factors, and accurately determines whether there is power loss due to environmental factors, so as to promptly dispatch personnel to inspect and repair the current environmental factors, thereby greatly saving power loss and improving the accuracy of power loss judgment in the distribution network.

[0035] 4. The present invention optimizes resource allocation, realizes reasonable distribution of electric energy, and improves the utilization efficiency of electric energy by analyzing and processing the electric energy loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network.

[0036] 5. The present invention obtains the safety of the current temporary power usage event by analyzing the credibility of the temporary power usage event on the distribution network, the borrowing location of the temporary power usage event and the expected power usage, and prevents the temporary power usage event that exceeds the current distribution network line load from being connected to the distribution network, thereby avoiding the occurrence of safety problems such as equipment damage and fire caused by overload and short circuit in the distribution network, and ensuring the stable operation of the entire distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] 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.

[0038] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION

[0039] 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.

[0040] See also Figure 1 As shown, the present invention provides a new distribution network security analysis method in the construction of a power system, the method comprising: step one, obtaining distribution network power data: obtaining the input power and the power usage of each user end in a set time period in the distribution network, and obtaining the power loss ratio coefficient of the distribution network during the transmission process.

[0041] Specifically, the specific analysis process of step 1 is as follows: the input power and the power consumption of each user terminal within a set time period in the distribution network are retrieved from the distribution network backend terminal, and they are recorded as d and b respectively. i , i represents the number corresponding to the i-th user terminal, i=1,2,...,n, through the formula The power loss proportional coefficient α of the distribution network during the transmission process is obtained.

[0042] Step 2: Obtaining historical power distribution network data: Obtain the input power in the distribution network and the historical power usage of each user end within the set historical time period, and obtain the average power loss ratio coefficient of the distribution network during the transmission process.

[0043] Specifically, the specific analysis process of step 2 is as follows: retrieve the input power and the power consumption of each user terminal in the historical time period set in the distribution network from the distribution network background terminal, and record them as d0, b′ respectively. i , i represents the number corresponding to the i-th user terminal, i=1,2,...,n, through the formula The average power loss ratio coefficient β of the distribution network during the transmission process is obtained.

[0044] Step 3: Power loss analysis of distribution network lines: Compare and analyze the power loss ratio coefficient of the distribution network during transmission with the average loss ratio coefficient to obtain the power loss influence coefficient of the distribution network lines. If the power loss influence coefficient of the distribution network lines is greater than the preset reference coefficient of power loss influence of the distribution network lines, proceed to step 4, otherwise proceed to step 7.

[0045] Specifically, the specific analysis process of step three is: compare the power loss ratio coefficient of the distribution network during the transmission process with the average loss ratio coefficient, and use the formula The influence coefficient of power loss of distribution network line is obtained, where e is a natural constant and ζ is the power loss deviation threshold of the distribution network during the transmission process.

[0046] Furthermore, the distribution network line power loss impact coefficient is compared with a preset distribution network line power loss impact reference coefficient. If the distribution network line power loss impact coefficient is greater than the distribution network line power loss impact reference coefficient, the distribution network line power loss is abnormal; otherwise, the distribution network line power loss is normal.

[0047] It should be noted that the present invention obtains the power loss influence coefficient of the distribution network line by comparing and analyzing the power loss proportional coefficient of the distribution network during the transmission process with the average loss proportional coefficient. By analyzing the power loss influence coefficient of the distribution network line, the accuracy of data acquisition is greatly improved, which helps to reduce the failure rate of the distribution network and improve the overall safety of the power system.

[0048] Step 4. Analysis of abnormal factors of power loss in distribution network lines: Obtain the impact data of current environmental factors on distribution network lines, and obtain the power loss coefficient of current environmental factors on distribution network lines. If the power loss coefficient of current environmental factors on distribution network lines is greater than the preset reference coefficient of power loss of environmental factors on distribution network lines, proceed to step 5, otherwise proceed to step 7.

[0049] Specifically, the environmental factors on the power distribution network include temperature, humidity, wind speed and pollutant concentration.

[0050] It should be noted that the environmental factors on the distribution network are obtained by installing temperature and humidity sensors and gas sensors at each monitoring point on the distribution network, and accessing the data of the temperature and humidity sensors and gas sensors installed at each monitoring point through the control terminal to obtain the ambient temperature, humidity and concentration of each gas at each monitoring point on the distribution network, extracting the types of pollutants in the gas around each monitoring point on the distribution network from the database, screening out the concentration of each pollutant in the gas around each monitoring point on the distribution network, and accumulating and averaging the concentration of each pollutant to obtain the pollutant concentration around the distribution network. The types of pollutants in the gas around each monitoring point on the distribution network include sulfur oxides, nitrogen oxides, carbon oxides, ozone and volatile organic compounds. Anemometers are installed at each monitoring point on the distribution network, and the wind speed fed back by the anemometers at each monitoring point is accessed through the control terminal.

[0051] Furthermore, the specific analysis process of step 4 is as follows: obtaining the ambient temperature of each monitoring point on the current distribution network line, and recording it as T s , s represents the number corresponding to the sth monitoring point, s=1,2,...,o, obtain the current at the input end of the current distribution network from the distribution network backend terminal, record it as I, and pass The influence coefficient δ of ambient temperature on power loss of distribution network line is obtained T,T0 represents the suitable ambient temperature on the preset distribution network line, R0 represents the resistance corresponding to the suitable temperature on the distribution network line stored in the database, C represents the temperature coefficient of the resistance around the preset distribution network line, P0 represents the rated power around the preset distribution network line, and o represents the number of monitoring points on the previous distribution network line.

[0052] Get the ambient humidity of each monitoring point on the current distribution network line and record it as A s , extract the capacitance corresponding to the ambient humidity of each monitoring point on the current distribution network line from the database and record it as f s , through the formula The influence coefficient δ of ambient humidity on power loss of distribution network lines is obtained A , A0 represents the suitable ambient humidity around the preset distribution network line, and f0 represents the capacitance corresponding to the suitable ambient humidity around the preset distribution network line.

[0053] Get the wind speed of each monitoring point on the current distribution network line and record it as v s , obtain the vibration amplitude of each monitoring point on the current distribution network line, and record it as h s , through the formula The influence coefficient δ of wind speed on power loss of distribution network line is obtained v , v0 represents the suitable wind speed around the preset distribution network line, and h0 represents the allowable vibration amplitude on the preset distribution network line.

[0054] Get the concentration of environmental pollutants at each monitoring point on the current distribution network line and record it as g s , extract the air conductivity and surface resistance corresponding to the pollutant concentration of each monitoring point on the current distribution network from the database, and record them as ε s and R″ s , through the formula The influence coefficient δ of pollutant concentration on power loss of distribution network line is obtained g , g0 represents the pollutant concentration threshold around the preset distribution network line, ε0 and R″0 represent the air conductivity and surface resistance corresponding to the allowable pollutant concentration around the preset distribution network line, respectively.

[0055] The specific analysis process of step 4 also includes: The power loss coefficient δ of the distribution network lines caused by the current environmental factors is obtained.

[0056] The power loss coefficient of the current environmental factors on the distribution network lines is compared with the preset power loss reference coefficient of the environmental factors on the distribution network lines. If the power loss coefficient of the current environmental factors on the distribution network lines is less than or equal to the preset power loss reference coefficient of the environmental factors on the distribution network lines, then the power loss of the current environmental factors on the distribution network lines is normal; otherwise, the power loss of the current environmental factors on the distribution network lines is abnormal.

[0057] It should be noted that the present invention analyzes and processes the power loss coefficient of the distribution network line due to the current environmental factors, and accurately determines whether there is power loss due to environmental factors, so as to promptly dispatch personnel to inspect and repair the current environmental factors, thereby greatly saving power loss and improving the accuracy of power loss judgment in the distribution network.

[0058] Step 5. Analysis of temporary power consumption on distribution network lines: obtain all approved temporary power consumption events in the power system, screen each approved temporary power consumption event in the distribution network, record it as each designated temporary power consumption event, and obtain the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network. If the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network is greater than the average power loss ratio coefficient of the distribution network during the transmission process, proceed to step 6, otherwise proceed to step 7.

[0059] Specifically, the method for obtaining all the approved temporary power consumption events in the power system is as follows: obtain each temporary power consumption event to be approved from the power system, extract the estimated power consumption and actual power consumption of each temporary power consumption application in the applicant history of each temporary power consumption event to be approved, as well as the load power and actual power used of the line during use from the database; when the estimated power consumption of each temporary power consumption application in the applicant history of a temporary power consumption event to be approved is greater than the actual power consumption and the load power of the line during use is greater than the actual power used, then the credibility qualification coefficient of the temporary power consumption event to be approved is recorded as μ1; otherwise, the credibility qualification coefficient of the temporary power consumption event to be approved is recorded as μ2; the credibility qualification coefficients μ of each temporary power consumption event to be approved are calculated. k , k represents the number corresponding to the kth temporary power consumption event to be approved, k=1,2,...,w,μ k is μ1 or μ2.

[0060] Obtain each pending temporary power consumption event from the power system, count the borrowing locations and estimated power consumption of each pending temporary power consumption event, obtain the lines connected to each pending temporary power consumption event through the borrowing locations of each pending temporary power consumption event, obtain the power of the lines connected to each pending temporary power consumption event, and record it as P kAccording to the power consumption and power supply of each access line for temporary power events to be approved, the surplus power of each access line for temporary power events to be approved is obtained, which is recorded as U′ k , extract the estimated power consumption of each pending temporary power consumption event from the database and record it as U k , through the formula Get the safety coefficient γ of each temporary power use event to be approved k , P′ k It is represented by the load power of the access line for the kth temporary power consumption event to be approved.

[0061] The safety coefficient of each temporary power use event to be approved is compared with the preset safety reference coefficient. When the safety coefficient of the temporary power use event to be approved is greater than the preset safety reference coefficient, the temporary power use event to be approved is an approved event, and all approved temporary power use events are counted.

[0062] The method for obtaining the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network is as follows: the estimated power consumption of each designated temporary power consumption event is extracted from the database and recorded as U′ a , a represents the number corresponding to the a-th specified temporary power consumption event, a=1,2,...,t, through the formula The power loss ratio coefficient of the distribution network is obtained when each designated temporary power consumption event is added to the distribution network.

[0063] It should be supplemented that the present invention optimizes resource allocation, realizes reasonable distribution of electric energy, and improves the utilization efficiency of electric energy by analyzing and processing the electric energy loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network.

[0064] Step 6. Analysis of abnormal distribution network lines: Send out drones to check the distribution network lines one by one and issue early warnings.

[0065] Specifically, the specific analysis process of step six also includes: comparing the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network with the average power loss ratio coefficient of the distribution network during the transmission process; when the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network is greater than the average power loss ratio coefficient of the distribution network during the transmission process, a drone is dispatched for investigation.

[0066] It should be supplemented that the present invention obtains the safety of the current temporary power usage event by analyzing and processing the credibility of the temporary power usage event on the distribution network, the borrowing location of the temporary power usage event and the expected power usage, thereby preventing the temporary power usage event that exceeds the current distribution network line load from being connected to the distribution network, avoiding the occurrence of safety problems such as equipment damage and fire caused by overload and short circuit in the distribution network, and ensuring the stable operation of the entire distribution network.

[0067] Step 7: Feedback on power loss in the distribution network: Feedback on the power loss in the distribution network being in a normal loss state.

[0068] It should be supplemented that the present invention analyzes the influence coefficient of power loss of distribution network lines, the power loss coefficient of distribution network lines caused by current environmental factors, and the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network, so as to accurately determine the cause of power loss in the distribution network, and can promptly dispatch personnel to repair the power loss situation, thereby greatly saving power loss, greatly improving the efficiency of power loss investigation, and maintaining the safety and normal operation of the distribution network.

[0069] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art 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 present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A new distribution network security analysis method in the construction of a new power system, characterized in that: The steps include: Step 1: Obtaining power data of the distribution network: Obtain the input power of the distribution network and the power consumption of each user end within a set time period, and obtain the power loss ratio coefficient of the distribution network during the transmission process; Step 2: Obtaining historical power distribution network data: Obtain the input power in the distribution network and the historical power consumption of each user end within the set historical time period, and obtain the average power loss ratio coefficient of the distribution network during the transmission process; Step 3: Power loss analysis of distribution network lines: compare and analyze the power loss ratio coefficient of the distribution network during transmission with the average loss ratio coefficient to obtain the power loss influence coefficient of the distribution network lines. If the power loss influence coefficient of the distribution network lines is greater than the preset power loss influence reference coefficient of the distribution network lines, proceed to step 4, otherwise proceed to step 7. The specific analysis process of step three is as follows: The power loss ratio coefficient of the distribution network during the transmission process Proportional coefficient to average loss By comparison, the formula Get the power loss influence coefficient of the distribution network line , is a natural constant, It is expressed as the power loss deviation threshold of the distribution network during the transmission process; The power loss influence coefficient of the distribution network line is compared with the preset power loss influence reference coefficient of the distribution network line. If the power loss influence coefficient of the distribution network line is greater than the power loss influence reference coefficient of the distribution network line, the power loss of the distribution network line is abnormal, otherwise the power loss of the distribution network line is normal; Step 4: Analysis of abnormal factors of power loss in distribution network lines: Obtain the impact data of current environmental factors on distribution network lines, and obtain the power loss coefficient of current environmental factors on distribution network lines. If the power loss coefficient of current environmental factors on distribution network lines is greater than the preset reference coefficient of power loss of environmental factors on distribution network lines, proceed to step 5, otherwise proceed to step 7; Step 5. Analysis of temporary power consumption on distribution network lines: obtain all approved temporary power consumption events in the power system, screen the approved temporary power consumption events in the distribution network, record them as designated temporary power consumption events, obtain the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network, if the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network is greater than the average power loss ratio coefficient of the distribution network during the transmission process, then proceed to step 6, otherwise proceed to step 7; Step 6: Analysis of abnormal distribution network lines: Send out drones to check the distribution network lines one by one and issue early warnings; Step 7: Feedback on power loss in the distribution network: Feedback on the power loss in the distribution network being in a normal loss state.

2. According to a new type of power system construction distribution network security analysis method according to claim 1, it is characterized by: The specific analysis process of step 1 is as follows: The input power and the power consumption of each user end in the set time period of the distribution network are retrieved from the distribution network backend terminal and recorded as , , Indicates The number corresponding to the user terminal, , through the formula Get the power loss ratio coefficient of the distribution network during the transmission process .

3. The method for analyzing the security of a distribution network in a new type of power system construction according to claim 2 is characterized in that: The specific analysis process of step 2 is as follows: The input power and the power consumption of each user terminal in the historical time period set in the distribution network are retrieved from the distribution network backend terminal and recorded as , , Indicates The number corresponding to the user terminal, , through the formula Get the average power loss ratio coefficient of the distribution network during the transmission process .

4. The method for analyzing the security of a distribution network in a new type of power system construction according to claim 1 is characterized by: The environmental factors on the distribution network line include temperature, humidity, wind speed and pollutant concentration.

5. The method for analyzing the security of a distribution network in the construction of a new type of power system according to claim 4 is characterized by: The specific analysis process of step 4 is as follows: Get the ambient temperature of each monitoring point on the current distribution network line and record it as , Indicates The number corresponding to each monitoring point, , obtain the current current at the input end of the distribution network from the distribution network backend terminal and record it as ,pass Obtain the influence coefficient of ambient temperature on power loss of distribution network lines , It is expressed as the preset suitable ambient temperature on the distribution network line. It is expressed as the resistance corresponding to the appropriate temperature on the distribution network line stored in the database, Expressed as the temperature coefficient of the resistance around the preset distribution network line, Expressed as the rated power around the preset distribution network line, It is expressed as the number of monitoring points on the front distribution network line; Get the ambient humidity of each monitoring point on the current distribution network line and record it as , extract the capacitance corresponding to the ambient humidity of each monitoring point on the current distribution network line from the database and record it as , through the formula Obtain the influence coefficient of ambient humidity on power loss of distribution network lines , It is expressed as the suitable ambient humidity around the preset distribution network line. It is expressed as the capacitance corresponding to the suitable ambient humidity around the preset distribution network line; Get the wind speed of each monitoring point on the current distribution network line and record it as , obtain the vibration amplitude of each monitoring point on the current distribution network line and record it as , through the formula Get the influence coefficient of wind speed on power loss of distribution network line , It is represented by the suitable wind speed around the preset distribution network line. It is expressed as the preset permissible vibration amplitude on the distribution network line; Get the concentration of environmental pollutants at each monitoring point on the current distribution network line and record it as , extract the air conductivity and surface resistance corresponding to the pollutant concentration of each monitoring point on the current distribution network from the database and record them as and , through the formula Obtain the influence coefficient of pollutant concentration on power loss of distribution network lines , It is represented by the preset pollutant concentration threshold around the distribution network line, , They respectively represent the air conductivity and surface resistance corresponding to the preset allowable pollutant concentration around the distribution network lines.

6. The method for analyzing the security of a distribution network in the construction of a new type of power system according to claim 5 is characterized by: The specific analysis process of step 4 also includes: By formula Get the power loss coefficient of the distribution network line caused by the current environmental factors ; The power loss coefficient of the current environmental factors on the distribution network lines is compared with the preset power loss reference coefficient of the environmental factors on the distribution network lines. If the power loss coefficient of the current environmental factors on the distribution network lines is less than or equal to the preset power loss reference coefficient of the environmental factors on the distribution network lines, then the power loss of the current environmental factors on the distribution network lines is normal; otherwise, the power loss of the current environmental factors on the distribution network lines is abnormal.

7. The method for analyzing the security of a distribution network in the construction of a new type of power system according to claim 6 is characterized by: The method for obtaining all approved temporary power consumption events in the power system is as follows: Obtain each pending temporary power use event from the power system, extract the estimated power consumption and actual power consumption of each temporary power use application in the applicant history of each pending temporary power use event stored in the database, as well as the load power and actual power used during the use of the line. When the estimated power consumption of each temporary power use application in the applicant history of a pending temporary power use event is greater than the actual power consumption and the load power of the line during the use is greater than the actual power used, the credit qualification coefficient of the pending temporary power use event is recorded as Otherwise, the credit qualification coefficient of the temporary power use event to be approved is recorded as , calculate the credit qualification coefficient of each temporary power use event to be approved , Indicates The number corresponding to the temporary power consumption event to be approved, , for or ; Obtain each pending temporary power consumption event from the power system, count the borrowing location and estimated power consumption of each pending temporary power consumption event, obtain the lines connected to each pending temporary power consumption event through the borrowing location of each pending temporary power consumption event, obtain the power of the line connected to each pending temporary power consumption event, and record it as According to the power consumption and power supply of each access line of the temporary power event to be approved, the surplus power of each access line of the temporary power event to be approved is obtained and recorded as , extract the estimated power consumption of each pending temporary power consumption event from the database and record it as , through the formula Get the safety coefficient of each temporary power use event to be approved , Expressed as The load power of the access line for the temporary power consumption event to be approved; The safety coefficient of each temporary power use event to be approved is compared with the preset safety reference coefficient. When the safety coefficient of the temporary power use event to be approved is greater than the preset safety reference coefficient, the temporary power use event to be approved is an approved event, and all approved temporary power use events are counted.

8. The method for analyzing the security of a distribution network in the construction of a new type of power system according to claim 7 is characterized by: The method for obtaining the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network is as follows: The estimated power consumption of each specified temporary power consumption event is extracted from the database and recorded as , Indicates A number corresponding to a specified temporary power consumption event, , through the formula The power loss ratio coefficient of the distribution network is obtained when each designated temporary power consumption event is added to the distribution network.

9. A new type of power system construction distribution network security analysis method according to claim 8, characterized in that: The specific analysis process of step six also includes: The power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network is compared with the average power loss ratio coefficient of the distribution network during the transmission process. When the power loss ratio coefficient of the distribution network when each designated temporary power consumption event is added to the distribution network is greater than the average power loss ratio coefficient of the distribution network during the transmission process, a drone is dispatched for inspection.

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