Energy storage vehicle emergency power supply control method and system

Abstract

The application discloses an energy storage vehicle emergency power supply control method and system, relates to the field of emergency power supply, and solves the problem of poor control effect of the existing energy storage vehicle emergency power supply control method, and comprises the following steps: S1: an energy storage vehicle target power supply area is divided into multiple power supply units, and population density analysis is performed on each power supply unit; according to the analysis result, a power supply unit population density value corresponding to each power supply unit is obtained, and power supply population collection data is obtained; S2: according to the power supply population collection data, power supply duration analysis is performed on each power supply unit; according to the analysis result, a power supply waiting duration value corresponding to each power supply unit is obtained, and power supply duration analysis data is obtained; and S3: according to the power supply duration analysis data and the power supply population collection data, emergency power supply priority control is performed on the energy storage vehicle. The application can effectively shorten the overall response time of power supply, and ensure the balance and stability of power supply.

Description

Technical Field

[0001] This invention belongs to the field of emergency power supply and involves data analysis technology. Specifically, it is a method and system for emergency power supply control of energy storage vehicles. Background Technology

[0002] Existing emergency power supply control methods for energy storage vehicles have the following specific drawbacks when performing emergency power supply control:

[0003] 1. Existing emergency power supply control methods for energy storage vehicles cannot reflect the dynamic changes in population density and power outage duration in a timely manner, resulting in insufficient timeliness of power supply decisions;

[0004] 2. Existing emergency power supply control methods for energy storage vehicles require automated population density analysis and power supply waiting time analysis for different areas, which can easily lead to low efficiency in power supply resource allocation.

[0005] Therefore, we propose an emergency power supply control method and system for energy storage vehicles. Summary of the Invention

[0006] In view of the shortcomings of existing technologies, the purpose of this invention is to provide an emergency power supply control method and system for energy storage vehicles.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: an emergency power supply control method for an energy storage vehicle, comprising the following specific steps:

[0008] Step S1: Divide the target power supply area of ​​the energy storage vehicle into multiple power supply units, and perform population density analysis on each power supply unit. Based on the analysis results, obtain the population density value of each power supply unit to obtain the power supply population data.

[0009] Step S2: Analyze the power supply duration for each power supply unit based on the power supply population data, and obtain the power supply waiting time value for each power supply unit based on the analysis results to obtain power supply duration analysis data;

[0010] Step S3: Based on the power supply duration analysis data and the power supply population data, prioritize the emergency power supply for the energy storage vehicle.

[0011] Furthermore, step S1 also includes the following specific steps:

[0012] Step S11: Obtain the power supply area that the energy storage vehicle can cover to obtain the target power supply area of ​​the energy storage vehicle, and obtain the power supply unit to which the target power supply area of ​​the energy storage vehicle belongs to obtain multiple power supply units;

[0013] Step S12: Select one sample power supply unit from the multiple power supply units obtained, perform population density analysis on the sample power supply unit, and obtain the population density value corresponding to the sample power supply unit based on the analysis results.

[0014] Step S13: Obtain the population density value of each power supply unit to obtain multiple population density values ​​of power supply units.

[0015] Step S14: Define multiple power supply units and the population density value of each power supply unit as power supply population collection data.

[0016] Furthermore, step S12 also includes the following specific steps:

[0017] Step S121: Analyze the number of households using electricity in the sample power supply units to obtain the average number of households using electricity per day corresponding to the sample power supply units.

[0018] Step S122: Obtain the number of households with electricity consumption on each day corresponding to each electricity consumption history monitoring date, obtain multiple numbers of households with electricity consumption on each day, and calculate the average of the multiple numbers of households with electricity consumption on each day to obtain the average number of households with electricity consumption on each day corresponding to the sample power supply unit.

[0019] Step S123: Obtain the area value of the region corresponding to the sample power supply unit to get the area value of the power supply unit;

[0020] Step S124: Calculate the population density of the power supply unit corresponding to the sample power supply unit by taking the land area of ​​the power supply unit, the average number of households with electricity consumption per day, and the number of households in the unit.

[0021] The population density of the power supply units corresponding to the sample power supply units is calculated.

[0022] Furthermore, step S121 also includes the following specific steps:

[0023] Step S1211: Select several electricity-consuming households in the sample power supply unit, obtain the number of residents corresponding to each electricity-consuming household, obtain the number of residents in multiple households, and calculate the average of the obtained number of residents in multiple households to obtain the number of residents in a unit.

[0024] Step S1212: During the electricity consumption monitoring of the sample power supply unit, select several historical electricity consumption monitoring dates, and select one sample electricity consumption monitoring date from the multiple historical electricity consumption monitoring dates obtained;

[0025] Step S1213: Obtain the historical electricity consumption records corresponding to the sample power supply units, and obtain the daily electricity consumption of each household on the sample electricity consumption monitoring date based on the historical electricity consumption records, thus obtaining multiple daily electricity consumption records.

[0026] Furthermore, step S121 also includes the following specific steps:

[0027] Step S1214: Obtain the household's daily baseline electricity consumption, compare the values ​​of multiple daily electricity consumptions with the household's daily baseline electricity consumption, if the daily electricity consumption is greater than or equal to the household's daily baseline electricity consumption, the household corresponding to the daily electricity consumption is marked as a first type of household; if the daily electricity consumption is less than the household's daily baseline electricity consumption, the household corresponding to the daily electricity consumption is marked as a second type of household.

[0028] Step S1215: Obtain the number of households in the first type of electricity consumption on the sample electricity consumption monitoring date, and obtain the number of households with electricity consumption on the day corresponding to the sample electricity consumption monitoring date.

[0029] Furthermore, step S2 also includes the following specific steps:

[0030] Step S21: Obtain power supply duration analysis data, obtain multiple power supply units based on the power supply duration analysis data, and arbitrarily select a characteristic power supply unit from the multiple obtained power supply units;

[0031] Step S22: Analyze the outage duration of the characteristic power supply unit to obtain the average outage duration of the unit corresponding to the characteristic power supply unit;

[0032] Step S23: Obtain the average outage duration for each power supply unit to obtain multiple average outage durations;

[0033] Step S24: In the map software, mark the location of the energy storage vehicle as the starting coordinate position, mark the location of each power supply unit as the target coordinate position, and obtain the travel time of the starting coordinate position and each target coordinate position respectively to obtain the travel time of multiple energy storage vehicles.

[0034] Step S25: Calculate the sum of the average power outage time per unit for each power supply unit and the corresponding energy storage vehicle travel time to obtain multiple power supply waiting time values;

[0035] Step S26: Define the power supply waiting time value corresponding to each power supply unit as power supply duration analysis data.

[0036] Furthermore, step S22 also includes the following specific steps:

[0037] Step S221: Obtain the power outage records corresponding to the characteristic power supply unit. If the power outage records show that every household in the characteristic power supply unit experiences a power outage at the same time, obtain the time difference between the power outage time and the current time to obtain the average power outage duration of the unit corresponding to the characteristic power supply unit.

[0038] Step S222: If the power outage records show that the electricity users in the characteristic power supply unit do not experience power outages at the same time, then perform a power outage duration analysis on the characteristic power supply unit and obtain the average power outage duration of the unit based on the analysis results.

[0039] Furthermore, step S222 also includes the following specific steps:

[0040] Obtain the difference between the outage time corresponding to batch T1 and the current time value to get the outage duration of batch T1. Obtain the difference between the outage time corresponding to batch T2 and the current time value to get the outage duration of batch T2. And so on, obtain the difference between the outage time corresponding to batch Tm and the current time value to get the outage duration of batch Tm.

[0041] The average power outage duration per unit is calculated by taking the number of households experiencing power outages from T1 to Tm and the duration of power outages in batches from T1 to Tm.

[0042] The average power outage duration per unit is obtained.

[0043] Furthermore, step S3 also includes the following specific steps:

[0044] Step S31: Obtain the population data for power supply, and obtain the population density value of each power supply unit based on the population data for power supply.

[0045] Step S32: Obtain power supply duration analysis data, and obtain the power supply waiting time value corresponding to each power supply unit based on the power supply duration analysis data;

[0046] Step S33: Calculate the product of the population density value and the power supply waiting time value of the same power supply unit to obtain multiple power supply priority coefficients, compare the values ​​of the multiple power supply priority coefficients, mark the power supply unit corresponding to the power supply priority coefficient with the largest value as the unit to be supplied with power, and control the energy storage vehicle to give priority to supplying power to the unit to be supplied with power.

[0047] An emergency power supply control system for energy storage vehicles, comprising:

[0048] Residential density module: Divide the target power supply area of ​​the energy storage vehicle into multiple power supply units, and perform population density analysis on each power supply unit. Based on the analysis results, obtain the population density value of each power supply unit and obtain the power supply population data.

[0049] Duration Analysis Module: Based on the power supply population data, the module analyzes the power supply duration for each power supply unit, obtains the power supply waiting time value for each power supply unit based on the analysis results, and generates power supply duration analysis data.

[0050] Power supply control module: Based on power supply duration analysis data and power supply population collection data, it performs emergency power supply priority control on the energy storage vehicle.

[0051] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0052] 1. This invention divides the target power supply area of ​​the energy storage vehicle into multiple power supply units, performs population density analysis on each power supply unit, obtains the population density value of each power supply unit based on the analysis results, obtains power supply population data, and performs emergency power supply priority control on the energy storage vehicle based on the power supply population data, which can ensure the utilization efficiency of power supply resources.

[0053] 2. This invention analyzes the power supply duration of each power supply unit, obtains the power supply waiting time value corresponding to each power supply unit based on the analysis results, obtains power supply duration analysis data, and performs emergency power supply priority control on energy storage vehicles based on the power supply duration analysis data, which can effectively shorten the overall power supply response time and ensure the balance and stability of power supply. Attached Figure Description

[0054] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0055] Figure 1 This is a diagram illustrating the implementation steps of the present invention;

[0056] Figure 2 This is an overall system block diagram of the present invention. Detailed Implementation

[0057] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0058] Example 1

[0059] Please see Figure 1 This invention provides a technical solution: an emergency power supply control method for an energy storage vehicle, comprising the following specific steps:

[0060] Step S1: Divide the target power supply area of ​​the energy storage vehicle into multiple power supply units, and perform population density analysis on each power supply unit. Based on the analysis results, obtain the population density value of each power supply unit to obtain the power supply population data.

[0061] Step S1 further includes the following specific steps:

[0062] Step S11: Obtain the power supply area that the energy storage vehicle can cover to obtain the target power supply area of ​​the energy storage vehicle, and obtain the power supply unit to which the target power supply area of ​​the energy storage vehicle belongs to obtain multiple power supply units;

[0063] Step S12: Select one sample power supply unit from the multiple power supply units obtained, perform population density analysis on the sample power supply unit, and obtain the population density value corresponding to the sample power supply unit based on the analysis results.

[0064] Step S12 further includes the following specific steps:

[0065] Step S121: Analyze the number of households using electricity in the sample power supply units to obtain the average number of households using electricity per day corresponding to the sample power supply units.

[0066] Step S121 further includes the following specific steps:

[0067] Step S1211: Select several electricity-consuming households in the sample power supply unit, obtain the number of residents corresponding to each electricity-consuming household, obtain the number of residents in multiple households, and calculate the average of the obtained number of residents in multiple households to obtain the number of residents in a unit.

[0068] Step S1212: During the electricity consumption monitoring of the sample power supply unit, select several historical electricity consumption monitoring dates, and select one sample electricity consumption monitoring date from the multiple historical electricity consumption monitoring dates obtained;

[0069] Step S1213: Obtain the historical electricity consumption records corresponding to the sample power supply units, and obtain the daily electricity consumption of each household on the sample electricity consumption monitoring date based on the historical electricity consumption records, thus obtaining multiple daily electricity consumption records;

[0070] Step S1214: Obtain the household's daily baseline electricity consumption, compare the values ​​of multiple daily electricity consumptions with the household's daily baseline electricity consumption, if the daily electricity consumption is greater than or equal to the household's daily baseline electricity consumption, the household corresponding to the daily electricity consumption is marked as a first type of household; if the daily electricity consumption is less than the household's daily baseline electricity consumption, the household corresponding to the daily electricity consumption is marked as a second type of household.

[0071] Step S1215: Obtain the number of households in the first type of electricity consumption on the sample electricity consumption monitoring date to obtain the number of households with electricity consumption on the single day corresponding to the sample electricity consumption monitoring date;

[0072] Step S122: Obtain the number of households with electricity consumption on each day corresponding to each electricity consumption history monitoring date, obtain multiple numbers of households with electricity consumption on each day, and calculate the average of the multiple numbers of households with electricity consumption on each day to obtain the average number of households with electricity consumption on each day corresponding to the sample power supply unit.

[0073] Step S123: Obtain the area value of the region corresponding to the sample power supply unit to get the area value of the power supply unit;

[0074] Step S124: Calculate the population density of the power supply unit corresponding to the sample power supply unit by taking the land area of ​​the power supply unit, the average number of households with electricity consumption per day, and the number of households in the unit.

[0075] The population density of the power supply unit corresponding to the sample power supply unit is calculated using the following formula:

[0076]

[0077] Where Rkm is the population density value of the power supply unit corresponding to the sample power supply unit, Zhs is the average number of households with electricity consumption per day, Rks is the number of households in the unit, and Qmj is the area occupied by the power supply unit.

[0078] Step S13: Obtain the population density value of each power supply unit to obtain multiple population density values ​​of power supply units.

[0079] Step S14: Define multiple power supply units and the population density value of each power supply unit as the power supply population collection data;

[0080] Step S2: Analyze the power supply duration for each power supply unit based on the power supply population data, and obtain the power supply waiting time value for each power supply unit based on the analysis results to obtain power supply duration analysis data;

[0081] Step S2 further includes the following specific steps:

[0082] Step S21: Obtain power supply duration analysis data, obtain multiple power supply units based on the power supply duration analysis data, and arbitrarily select a characteristic power supply unit from the multiple obtained power supply units;

[0083] Step S22: Analyze the outage duration of the characteristic power supply unit to obtain the average outage duration of the unit corresponding to the characteristic power supply unit;

[0084] Step S22 further includes the following specific steps:

[0085] Step S221: Obtain the power outage records corresponding to the characteristic power supply unit. If the power outage records show that every household in the characteristic power supply unit experiences a power outage at the same time, obtain the time difference between the power outage time and the current time to obtain the average power outage duration of the unit corresponding to the characteristic power supply unit.

[0086] Step S222: If the power outage records show that the electricity users in the characteristic power supply unit do not experience power outages at the same time, then perform a power outage duration analysis on the characteristic power supply unit and obtain the average power outage duration of the unit based on the analysis results;

[0087] Step S222 further includes the following specific steps:

[0088] Based on the power outage records, the characteristic power supply units are divided into several power outage batches, and the obtained power outage batches are named in chronological order from T1 power outage batch to Tm power outage batch.

[0089] Get the number of households corresponding to the characteristic power supply unit, get the total number of households of the characteristic power supply unit, get the number of households corresponding to the T1 power outage batch, get the number of households with power outages in T1, get the number of households corresponding to the T2 power outage batch, get the number of households with power outages in T2, and so on, get the number of households corresponding to the Tm power outage batch, get the number of households with power outages in Tm.

[0090] Obtain the difference between the outage time corresponding to batch T1 and the current time value to get the outage duration of batch T1. Obtain the difference between the outage time corresponding to batch T2 and the current time value to get the outage duration of batch T2. And so on, obtain the difference between the outage time corresponding to batch Tm and the current time value to get the outage duration of batch Tm.

[0091] The average power outage duration per unit is calculated by taking the number of households experiencing power outages from T1 to Tm and the duration of power outages in batches from T1 to Tm.

[0092] The average power outage duration per unit is obtained using the following formula:

[0093]

[0094] Where Dtc is the average power outage duration per unit, Tdhi is the number of households experiencing power outages in Ti, Tsci is the batch power outage duration in Ti, and m is the quantity value corresponding to the power outage batch.

[0095] Step S23: Obtain the average outage duration for each power supply unit to obtain multiple average outage durations;

[0096] Step S24: In the map software, mark the location of the energy storage vehicle as the starting coordinate position, mark the location of each power supply unit as the target coordinate position, and obtain the travel time of the starting coordinate position and each target coordinate position respectively to obtain the travel time of multiple energy storage vehicles.

[0097] Step S25: Calculate the sum of the average power outage time per unit for each power supply unit and the corresponding energy storage vehicle travel time to obtain multiple power supply waiting time values;

[0098] Step S26: Define the power supply waiting time value corresponding to each power supply unit as power supply duration analysis data;

[0099] Step S3: Based on the power supply duration analysis data and the power supply population collection data, prioritize the emergency power supply of the energy storage vehicle;

[0100] Step S3 further includes the following specific steps:

[0101] Step S31: Obtain the population data for power supply, and obtain the population density value of each power supply unit based on the population data for power supply.

[0102] Step S32: Obtain power supply duration analysis data, and obtain the power supply waiting time value corresponding to each power supply unit based on the power supply duration analysis data;

[0103] Step S33: Calculate the product of the population density value and the power supply waiting time value of the same power supply unit to obtain multiple power supply priority coefficients, compare the values ​​of the multiple power supply priority coefficients, mark the power supply unit corresponding to the power supply priority coefficient with the largest value as the unit to be supplied with power, and control the energy storage vehicle to give priority to supplying power to the unit to be supplied with power.

[0104] In this application, if a corresponding calculation formula appears, the above calculation formula is a dimensionless calculation. The weighting coefficient, proportional coefficient and other coefficients in the formula are set to quantify each parameter to obtain a result value. The size of the weighting coefficient and proportional coefficient is only required to not affect the proportional relationship between the parameter and the result value.

[0105] Example 2

[0106] Please see Figure 2 Based on another concept of the same invention, an emergency power supply control system for energy storage vehicles is proposed. The power supply control system includes a residential density module, a duration analysis module, a power supply control module, and a server. The residential density module, duration analysis module, and power supply control module are respectively connected to the server, and the server controls the residential density module, duration analysis module, and power supply control module respectively.

[0107] The residential density module divides the target power supply area of ​​the energy storage vehicle into multiple power supply units and performs population density analysis on each power supply unit. Based on the analysis results, it obtains the population density value of each power supply unit and obtains the power supply population data.

[0108] Specifically as follows:

[0109] The power supply area that the energy storage vehicle can cover is obtained to get the target power supply area of ​​the energy storage vehicle. The power supply unit to which the target power supply area of ​​the energy storage vehicle belongs is obtained to get multiple power supply units.

[0110] It should be noted here that:

[0111] In this application, the target power supply area for the energy storage vehicle refers to the power supply area that the energy storage vehicle can directly reach during its existing cruise operations.

[0112] In this application, the power supply units involved are all residential communities that are experiencing power outages.

[0113] One sample power supply unit was selected from the multiple power supply units obtained. Population density analysis was performed on the sample power supply unit, and the population density value corresponding to the sample power supply unit was obtained based on the analysis results.

[0114] Specifically as follows:

[0115] Several households with electricity consumption were selected from the sample power supply unit. The number of residents corresponding to each household was obtained, resulting in multiple household population counts. The average of these multiple household population counts was then calculated to obtain the number of residents per unit.

[0116] During the process of monitoring electricity consumption of sample power supply units, several historical electricity consumption monitoring dates were selected, and one sample electricity consumption monitoring date was selected from the multiple historical electricity consumption monitoring dates obtained.

[0117] Obtain historical electricity consumption records corresponding to the sample power supply units, and obtain the daily electricity consumption of each household on the sample electricity consumption monitoring date based on the historical electricity consumption records, thus obtaining multiple daily electricity consumption records.

[0118] Obtain the household's daily baseline electricity consumption, compare multiple daily electricity consumption values ​​with the household's daily baseline electricity consumption, and if the daily electricity consumption is greater than or equal to the household's daily baseline electricity consumption, the household corresponding to the daily electricity consumption is marked as a first-type household; if the daily electricity consumption is less than the household's daily baseline electricity consumption, the household corresponding to the daily electricity consumption is marked as a second-type household.

[0119] It should be noted here that:

[0120] In this application, the first type of electricity-consuming household refers to the electricity-consuming household that is occupied on the date of the sample electricity consumption monitoring, and the second type of electricity-consuming household refers to the electricity-consuming household that is unoccupied on the date of the sample electricity consumption monitoring.

[0121] The following monitoring data were obtained during the actual monitoring process:

[0122] When the sample power supply units are in the same season as the sample electricity consumption monitoring date, the electricity consumption of occupied households in the sample power supply units is 10-50 kWh, and the electricity consumption of unoccupied households is 0-4 kWh. The minimum electricity consumption of occupied households and the maximum electricity consumption of unoccupied households are calculated, and the average is calculated to obtain the household's daily benchmark electricity consumption. Therefore, the household's daily benchmark electricity consumption here is specifically 7 kWh.

[0123] The number of households in the first type of electricity consumption on the sample electricity consumption monitoring date is obtained to obtain the number of households with electricity consumption on the single day corresponding to the sample electricity consumption monitoring date;

[0124] The process of obtaining the number of households with daily electricity consumption corresponding to the electricity consumption monitoring date of the sample is repeated. The number of households with daily electricity consumption corresponding to each historical electricity consumption monitoring date is obtained to obtain multiple numbers of households with daily electricity consumption. The average number of households with daily electricity consumption is calculated to obtain the average number of households with daily electricity consumption corresponding to the sample power supply unit.

[0125] The area occupied by the sample power supply unit is obtained, and the area occupied by the power supply unit is obtained.

[0126] The population density of the sample power supply unit is obtained by calculating the area occupied by the power supply unit, the average number of households with electricity consumption per day, and the number of households in the unit.

[0127] The population density of the power supply unit corresponding to the sample power supply unit is calculated using the following formula:

[0128]

[0129] Where Rkm is the population density value of the power supply unit corresponding to the sample power supply unit, Zhs is the average number of households with electricity consumption per day, Rks is the number of households in the unit, and Qmj is the area occupied by the power supply unit.

[0130] It should be noted here that:

[0131] In the specific implementation, the following test data were obtained:

[0132] Test data 1:

[0133] When Zhs is 134 households, Zhs is 3 people, and Qmj is 3,300 square meters, then Rkm is calculated to be 0.122;

[0134] Test data 2:

[0135] When Zhs is 334 households, Zhs is 3 people, and Qmj is 5,300 square meters, then Rkm is calculated to be 0.189;

[0136] Test data 3:

[0137] When Zhs is 634 households, Zhs is 3.3 people, and Qmj is 6,300 square meters, then Rkm is calculated to be 0.332;

[0138] It should be noted here that:

[0139] In this application, the product of the number of households with average daily electricity consumption and the number of residents in a unit household can specifically represent the number of electricity-consuming people in the area. This formula is essentially a ratio of the number of electricity-consuming people to the area occupied by the power supply unit to obtain the population density.

[0140] Repeat the process of obtaining the population density values ​​of the power supply units corresponding to the sample power supply units, and obtain the population density values ​​of the power supply units corresponding to each power supply unit to obtain multiple population density values ​​of the power supply units.

[0141] Multiple power supply units and the population density value of each power supply unit are defined as power supply population collection data.

[0142] The residential density module acquires population data for power supply and transmits it to the duration analysis module and the power supply control module;

[0143] The duration analysis module analyzes the power supply duration of each power supply unit based on the power supply population data, and obtains the power supply waiting time value for each power supply unit based on the analysis results, thus obtaining power supply duration analysis data.

[0144] Specifically as follows:

[0145] Acquire power supply duration analysis data, obtain multiple power supply units based on the power supply duration analysis data, and arbitrarily select a characteristic power supply unit from the multiple power supply units obtained.

[0146] The power outage duration of characteristic power supply units is analyzed to obtain the average power outage duration of the corresponding units.

[0147] Specifically as follows:

[0148] Obtain the power outage records corresponding to the characteristic power supply unit. If the power outage records show that every household in the characteristic power supply unit experienced a power outage at the same time, obtain the time difference between the power outage time and the current time to obtain the average power outage duration of the unit corresponding to the characteristic power supply unit.

[0149] If the power outage records show that the households in the characteristic power supply unit did not experience power outages at the same time, then the power outage duration of the characteristic power supply unit is analyzed, and the average power outage duration of the unit is obtained based on the analysis results.

[0150] Specifically as follows:

[0151] Based on the power outage records, the characteristic power supply units are divided into several power outage batches, and the obtained power outage batches are named in chronological order from T1 power outage batch to Tm power outage batch.

[0152] It should be noted here that:

[0153] In this application, T is the identifier corresponding to the power outage batch, m is the quantity value corresponding to the power outage batch, and m is an integer greater than 1.

[0154] Get the number of households corresponding to the characteristic power supply unit, get the total number of households of the characteristic power supply unit, get the number of households corresponding to the T1 power outage batch, get the number of households with power outages in T1, get the number of households corresponding to the T2 power outage batch, get the number of households with power outages in T2, and so on, get the number of households corresponding to the Tm power outage batch, get the number of households with power outages in Tm.

[0155] Obtain the difference between the outage time corresponding to batch T1 and the current time value to get the outage duration of batch T1. Obtain the difference between the outage time corresponding to batch T2 and the current time value to get the outage duration of batch T2. And so on, obtain the difference between the outage time corresponding to batch Tm and the current time value to get the outage duration of batch Tm.

[0156] The average power outage duration per unit is calculated by taking the number of households experiencing power outages from T1 to Tm and the duration of power outages in batches from T1 to Tm.

[0157] The average power outage duration per unit is obtained using the following formula:

[0158]

[0159] Where Dtc is the average power outage duration per unit, Tdhi is the number of households experiencing power outages in Ti, Tsci is the batch power outage duration in Ti, and m is the quantity value corresponding to the power outage batch.

[0160] It should be noted here that:

[0161] In this application, the number of households experiencing power outages (Ti) can be any number of households experiencing power outages from T1 to Tm, and the duration of the Ti batch power outage can be any batch power outage from T1 to Tm.

[0162] In practice, the above experimental data exists;

[0163] T1: 100 households experience a power outage for 2 hours; T2: 200 households experience a power outage for 3 hours; T3: 150 households experience a power outage for 1 hour. The average power outage duration per household can be calculated to be 2.11 hours.

[0164] Repeat the process of obtaining the average outage duration per unit for each characteristic power supply unit, and obtain the average outage duration per unit for each power supply unit to obtain multiple average outage durations per unit.

[0165] In the map software, the location of the energy storage vehicle is marked as the starting coordinate position, and the location of each power supply unit is marked as the target coordinate position. The travel time at the starting coordinate position and each target coordinate position is obtained to obtain the travel time of multiple energy storage vehicles.

[0166] Calculate the sum of the average outage time per unit for each power supply unit and the corresponding energy storage vehicle travel time to obtain multiple power supply waiting time values;

[0167] The power supply waiting time value corresponding to each power supply unit is defined as the power supply duration analysis data;

[0168] The power supply control module performs emergency power supply priority control on the energy storage vehicle based on power supply duration analysis data and power supply population collection data;

[0169] Specifically as follows:

[0170] Obtain population data for power supply, and obtain the population density value of each power supply unit based on the population data for power supply.

[0171] Obtain power supply duration analysis data, and obtain the power supply waiting time value for each power supply unit based on the power supply duration analysis data;

[0172] Calculate the product of the population density value and the power supply waiting time value of the same power supply unit to obtain multiple power supply priority coefficients. Compare the values ​​of the multiple power supply priority coefficients and mark the power supply unit corresponding to the power supply priority coefficient with the largest value as the unit to be supplied with power. Control the energy storage vehicle to give priority to supplying power to the unit to be supplied.

[0173] It should be noted here that:

[0174] If there are cases where the power supply priority coefficients are tied for the highest, then the population density values ​​of the power supply units are compared, and the power supply units with the larger population density values ​​are marked as the units to be supplied with power.

[0175] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An energy storage vehicle emergency power supply control method, characterized by, The method comprises the following steps: Step S1: dividing the target power supply area of the energy storage vehicle into multiple power supply units, and performing population density analysis on each power supply unit, obtaining the power supply unit population density value corresponding to each power supply unit according to the analysis result, and obtaining power supply population collection data; Step S2: performing power supply duration analysis on each power supply unit according to the power supply population collection data, obtaining the power supply waiting duration value corresponding to each power supply unit according to the analysis result, and obtaining power supply duration analysis data; In step S2, the following specific steps are further included: Step S21: obtaining power supply duration analysis data, obtaining multiple power supply units according to the power supply duration analysis data, and randomly selecting a characteristic power supply unit from the obtained multiple power supply units; Step S22: performing power outage duration analysis on the characteristic power supply unit, and obtaining the unit average power outage duration corresponding to the characteristic power supply unit; Step S23: obtaining the unit average power outage duration corresponding to each power supply unit respectively, and obtaining multiple unit average power outage durations; Step S24: marking the location of the energy storage vehicle as a starting coordinate position, marking the location of each power supply unit as a target coordinate position, obtaining the passing duration of the starting coordinate position and each target coordinate position respectively, and obtaining multiple energy storage vehicle passing durations; Step S25: calculating the sum of the unit average power outage duration of each power supply unit and the corresponding energy storage vehicle passing duration, and obtaining multiple power supply waiting duration values; Step S26: defining the power supply waiting duration value corresponding to each power supply unit as the power supply duration analysis data; Step S3: controlling the emergency power supply priority of the energy storage vehicle according to the power supply duration analysis data and the power supply population collection data; In step S3, the following specific steps are further included: Step S31: obtaining power supply population collection data, and obtaining the power supply unit population density value corresponding to each power supply unit according to the power supply population collection data; Step S32: obtaining power supply duration analysis data, and obtaining the power supply waiting duration value corresponding to each power supply unit according to the power supply duration analysis data; Step S33: calculating the product of the power supply unit population density value and the power supply waiting duration value corresponding to the same power supply unit, obtaining multiple power supply priority coefficients, and comparing the numerical values of the obtained multiple power supply priority coefficients, marking the power supply unit corresponding to the power supply priority coefficient with the largest numerical value as a power supply unit to be supplied, and controlling the energy storage vehicle to supply the power supply unit to be supplied preferentially.

2. The emergency power supply control method of the energy storage vehicle according to claim 1, characterized in that, In step S1, the following specific steps are further included: Step S11: obtaining the power supply area that can be covered by the energy storage vehicle, obtaining the target power supply area of the energy storage vehicle, and obtaining multiple power supply units belonging to the target power supply area of the energy storage vehicle; Step S12: selecting a sample power supply unit from the obtained multiple power supply units, performing population density analysis on the sample power supply unit, and obtaining the population density value corresponding to the sample power supply unit according to the analysis result; Step S13: obtaining the power supply unit population density value corresponding to each power supply unit respectively, and obtaining multiple power supply unit population density values; Step S14: define the power supply unit population density value corresponding to each power supply unit and the plurality of power supply units as power population collection data.

3. The emergency power supply control method of the energy storage vehicle according to claim 2, characterized in that, The step S12 further includes the following steps: Step S121: analyze the number of electricity-using households of the sample power supply unit to obtain the single-day average number of electricity-using households corresponding to the sample power supply unit; Step S122: obtain the single-day number of electricity-using households corresponding to each electricity-using history monitoring date respectively to obtain a plurality of single-day numbers of electricity-using households, and calculate the average value of the plurality of single-day numbers of electricity-using households to obtain the single-day average number of electricity-using households corresponding to the sample power supply unit; Step S123: obtain the area value of the region corresponding to the sample power supply unit to obtain the power supply unit area value; Step S124: calculate the power supply unit population density value Rkm of the sample power supply unit by using the power supply unit area value Qmj, the single-day average number of electricity-using households Zhs, and the unit household population number Rks, specifically as follows: 。 4. The emergency power supply control method of the energy storage vehicle according to claim 3, characterized in that, The step S121 further includes the following steps: In the sample power supply unit, select a plurality of electricity-using households, obtain the number of residents corresponding to each electricity-using household respectively to obtain a plurality of household population numbers, and calculate the average of the plurality of household population numbers to obtain the unit household population number; In the process of electricity monitoring of the sample power supply unit, a plurality of electricity-using history monitoring dates are selected, and a sample electricity monitoring date is selected from the plurality of electricity-using history monitoring dates; Obtain the historical electricity record corresponding to the sample power supply unit, and obtain the single-day electricity consumption of each electricity-using household on the sample electricity monitoring date according to the historical electricity record to obtain a plurality of single-day electricity consumptions.

5. The control method of claim 3, wherein, The step S121 further includes the following steps: Obtain the single-day reference electricity consumption of the household, if the single-day electricity consumption is greater than or equal to the single-day reference electricity consumption of the household, the electricity-using household corresponding to the single-day electricity consumption is marked as the first type of electricity-using household, if the single-day electricity consumption is less than the single-day reference electricity consumption of the household, the electricity-using household corresponding to the single-day electricity consumption is marked as the second type of electricity-using household; Obtain the number of households in the first type of electricity-using household on the sample electricity monitoring date to obtain the single-day number of electricity-using households corresponding to the sample electricity monitoring date.

6. The control method of claim 1, wherein, The step S22 further includes the following steps: Step S221: obtain the power failure record corresponding to the characteristic power supply unit, if the power failure record shows that each electricity-using household in the characteristic power supply unit is powered off at the same time point, obtain the time difference between the power failure time point and the current time to obtain the unit average power failure duration corresponding to the characteristic power supply unit; Step S222: if the power failure record shows that the electricity-using households in the characteristic power supply unit are not powered off at the same time point, analyze the power failure duration of the characteristic power supply unit, and obtain the unit average power failure duration according to the analysis result.

7. The emergency power supply control method of the energy storage vehicle according to claim 6, characterized in that, The step S222 further includes the following steps: A difference value between the power failure time point corresponding to the T1 power failure batch and a current time value is obtained to obtain a T1 batch power failure duration, and a difference value between the power failure time point corresponding to the Tm power failure batch and the current time value is obtained to obtain a Tm batch power failure duration; A unit average power failure duration is obtained by calculating the T1 household power failure quantity to the Tm household power failure quantity and the T1 batch power failure duration to the Tm batch power failure duration; The specific formula is as follows: ； Wherein, Dtc is the unit average power failure duration, Tdhi is the Ti household power failure quantity, Tsci is the Ti batch power failure duration, and m is the number value corresponding to the power failure batch.

8. An emergency power supply control system of an energy storage vehicle, used for executing the emergency power supply control method of any one of claims 1-7, characterized in that, The power supply control system comprises: A residential density module: a target power supply area of an energy storage vehicle is divided into multiple power supply units, and population density analysis is performed on each power supply unit, a power supply unit population density value corresponding to each power supply unit is obtained according to the analysis result, and power supply population collection data is obtained; A duration analysis module: according to the power supply population collection data, power supply duration analysis is performed on each power supply unit, a power supply waiting duration value corresponding to each power supply unit is obtained according to the analysis result, and power supply duration analysis data is obtained; A power supply control module: according to the power supply duration analysis data and the power supply population collection data, emergency power supply priority control is performed on the energy storage vehicle.

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