Substation-based power distribution area number determination method and device, terminal equipment and storage medium

Abstract

The invention discloses a power distribution area number determination method and device based on a transformer substation, terminal equipment and a storage medium, and the method comprises the steps: inputting an equipment attribute parameter and a historical fault parameter into a first electric energy loss prediction model, so as to determine a first electric energy loss value of a target transformer substation; and inputting the environmental parameters into a second electric energy loss prediction model to determine a second electric energy loss value of the target substation at the target time, thereby calculating an actual power distribution value of the target substation according to the theoretical electric energy capacity value, the first electric energy loss value and the second electric energy loss value. And according to the actual power distribution value, the power utilization load and the preset power utilization distribution proportion, determining the number of power distribution areas in which the target transformer substation distributes power at the target time. By implementing the invention, the layout and the structure of the power network can be optimized based on the number of the power distribution areas distributed by the transformer substation, so that the operation efficiency of the whole power grid is improved.

Description

Technical Field

[0001] The present invention relates to the field of power systems, and in particular to a method, device, terminal equipment and storage medium for determining the number of power distribution areas based on a substation. Background Art

[0002] In the power system, substations are responsible for converting high-voltage electricity into medium- and low-voltage electricity suitable for industrial and residential use. Their distribution networks cover a wide range of electricity demand areas in cities and villages, and are an indispensable hub in the power supply network. With the continuous increase in electricity demand and the increasing diversification of electricity consumption patterns (such as the popularity of electric vehicle charging stations), in the face of emergencies or emergencies, the distribution strategy can be quickly adjusted according to the distribution of the number of distribution areas served by the substation to ensure that the power supply of key areas and important users is not affected. Therefore, the effective management of the distribution areas served by the substation has become increasingly critical.

[0003] At present, the main method for determining the number of distribution areas served by a substation is expert experience analysis. The expert experience analysis method focuses on evaluating the carrying capacity of the substation by simply analyzing the power load and demarcating its distribution range accordingly. However, this method ignores the energy loss caused by environmental factors and equipment loss in the process of power distribution, which affects the accuracy of determining the number of distribution areas. Summary of the invention

[0004] The present invention provides a method for determining the number of distribution areas based on a substation. The method determines the actual distribution value of a target substation while taking into account the power loss caused by equipment loss and ambient temperature, and determines the number of distribution areas distributed by the target substation based on the actual distribution value of the target substation, the power load of the target area, and a preset power distribution ratio. In this way, the power supply areas can be divided more reasonably, the layout and structure of the power network can be optimized, and the operating efficiency of the entire power grid can be improved.

[0005] An embodiment of the present invention provides a method for determining the number of power distribution areas based on a substation, comprising:

[0006] Obtaining equipment attribute parameters of the target substation, historical fault parameters of the target substation, theoretical electric energy capacity value of the target substation at the target time, target area served by the target substation, environmental parameters of the target area at the target time, power load of the target area at the target time, and corresponding preset power distribution ratio;

[0007] Inputting the device attribute parameters and the historical fault parameters into a preset first power loss prediction model, so that the first power loss prediction model determines a first power loss value of the target substation according to the device attribute parameters and the historical fault parameters;

[0008] Inputting the environmental parameters into a preset second power loss prediction model, so that the second power loss prediction model determines a second power loss value of the target substation at a target time according to the environmental parameters;

[0009] Calculating an actual power distribution value of the target substation according to the theoretical power capacity value, the first power loss value, and the second power loss value;

[0010] The number of distribution areas to be distributed by the target substation at the target time is determined according to the actual power distribution value, the power load and the preset power distribution ratio.

[0011] Further, the target area includes several residential areas; the power load includes an average power load of the residential area used to characterize the average power load of the residential area; the preset power distribution ratio includes a preset residential power distribution ratio;

[0012] The determining, according to the actual power distribution value, the power load and the preset power distribution ratio, the number of power distribution areas to be distributed by the target substation at the target time includes:

[0013] The actual power distribution value is multiplied by the preset residential power distribution ratio to calculate the first total power consumption of all residential areas in the target area at the target time;

[0014] The first total power consumption is divided by the average power load of the residential area to calculate the number of residential areas to which the target substation distributes power at the target time.

[0015] Further, the target area includes a number of electric vehicle charging stations; the power load includes an average power load of the charging station used to characterize the average power load of the electric vehicle charging station; the preset power distribution ratio includes a preset charging station power distribution ratio;

[0016] The determining, according to the actual power distribution value, the power load and the preset power distribution ratio, the number of power distribution areas to be distributed by the target substation at the target time includes:

[0017] The actual power distribution value is multiplied by the preset charging station power distribution ratio to calculate the second total power consumption of all electric vehicle charging stations in the target area at the target time;

[0018] The second total power consumption is divided by the average power load of the charging station to calculate the number of electric vehicle charging stations distributed by the target substation at the target time.

[0019] Further, the target area includes several commercial areas; the power load includes an average power load of the commercial area used to characterize the average power load of the commercial area; the preset power distribution ratio includes a preset commercial power distribution ratio;

[0020] The determining, according to the actual power distribution value, the power load and the preset power distribution ratio, the number of power distribution areas to be distributed by the target substation at the target time includes:

[0021] The actual power distribution value is multiplied by the preset commercial power distribution ratio to calculate the third total power consumption of all commercial areas in the target area at the target time;

[0022] The third total power consumption is divided by the average power load of the commercial area to calculate the number of commercial areas to which the target substation distributes power at the target time.

[0023] Furthermore, the equipment attribute parameters include winding material, winding cross-sectional area, winding length and switch cabinet contact resistance value; the historical fault parameters include historical fault type, the number of occurrences of each historical fault type and the total number of historical faults;

[0024] The step of inputting the device attribute parameters and the historical fault parameters into a preset first power loss prediction model so that the first power loss prediction model determines a first power loss value of the target substation according to the device attribute parameters and the historical fault parameters, comprises:

[0025] The winding material, the winding cross-sectional area, the winding length, the switch cabinet contact resistance value, the historical fault type, the number of occurrences of each historical fault type and the total number of historical faults are input into the first power loss prediction model, so that the first power loss prediction model determines the first power loss value of the target substation based on the input data.

[0026] Furthermore, the environmental parameters include temperature value, humidity value and air quality value;

[0027] The step of inputting the environmental parameter into a preset second power loss prediction model so that the second power loss prediction model determines a second power loss value of the target substation at a target time according to the environmental parameter includes:

[0028] The temperature value, the humidity value and the air quality value are input into the second power loss prediction model, so that the second power loss prediction model determines the second power loss value of the target substation at the target time according to the input data.

[0029] Further, the calculating the actual power distribution value of the target substation according to the theoretical power capacity value, the first power loss value and the second power loss value includes:

[0030] Subtract the first electric energy loss value from the theoretical electric energy capacity value to obtain a first electric energy capacity value;

[0031] The actual power distribution value of the target substation is obtained by subtracting the second power loss value from the first power capacity value.

[0032] An embodiment of the present invention further provides a device for determining the number of power distribution areas based on a substation, comprising: a data acquisition module, a first power loss value calculation module, a second power loss value calculation module, an actual power distribution value calculation module, and a power distribution area number determination module;

[0033] The data acquisition module is used to obtain the equipment attribute parameters of the target substation, the historical fault parameters of the target substation, the theoretical electric energy capacity value of the target substation at the target time, the target area served by the target substation, the environmental parameters of the target area at the target time, the power load of the target area at the target time and the corresponding preset power distribution ratio;

[0034] The first power loss value calculation module is used to input the device attribute parameters and the historical fault parameters into a preset first power loss prediction model, so that the first power loss prediction model determines the first power loss value of the target substation according to the device attribute parameters and the historical fault parameters;

[0035] The second power loss value calculation module is used to input the environmental parameters into a preset second power loss prediction model, so that the second power loss prediction model determines the second power loss value of the target substation at the target time according to the environmental parameters;

[0036] The actual power distribution value calculation module is used to calculate the actual power distribution value of the target substation according to the theoretical power capacity value, the first power loss value and the second power loss value;

[0037] The power distribution area quantity determination module is used to determine the number of power distribution areas to be distributed by the target substation at the target time according to the actual power distribution value, the power load and the preset power distribution ratio.

[0038] The present application also provides a terminal device, including:

[0039] one or more processors;

[0040] A memory, coupled to the processor, for storing one or more programs;

[0041] When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the number of distribution areas based on the substation as described in the above-mentioned embodiment of the invention.

[0042] The present application also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for determining the number of distribution areas based on a substation as described in the above-mentioned embodiment of the invention is implemented.

[0043] The following beneficial effects are achieved by implementing the present invention:

[0044] The present invention provides a method, device, terminal device and storage medium for determining the number of distribution areas based on a substation. The method inputs equipment attribute parameters and historical fault parameters into a preset first power loss prediction model, so that the first power loss prediction model determines the first power loss value of the target substation according to the equipment attribute parameters and the historical fault parameters, and then inputs the environmental parameters into a preset second power loss prediction model, so that the second power loss prediction model determines the second power loss value of the target substation at the target time according to the environmental parameters, thereby calculating the target substation according to the theoretical power capacity value, the first power loss value and the second power loss value. The actual power distribution value is obtained by calculating the actual power distribution value, and according to the actual power distribution value, the power load and the preset power distribution ratio, the number of distribution areas distributed by the target substation at the target time is determined; by comprehensively considering the equipment attribute parameters and the historical fault parameters, after calculating the power loss caused by equipment loss and ambient temperature, these power losses are removed to obtain the actual power distribution value of the target substation. By accurately calculating the actual power distribution value of the target substation, the operating status of the target substation can be effectively determined; secondly, based on the power load and the preset power distribution ratio, the number of distribution areas is determined. By determining the number of distribution areas, the power supply area can be divided more reasonably, and the layout and structure of the power network can be optimized, thereby improving the operating efficiency of the entire power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solution of the present application, the drawings required for use in the implementation manner will be briefly introduced below. Obviously, the drawings described below are only some implementation manners of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 It is a flowchart of a method for determining the number of distribution areas based on a substation provided in a certain embodiment of the present application;

[0047] Figure 2 It is a structural schematic diagram of a device for determining the number of distribution areas based on a substation provided in a certain embodiment of the present application;

[0048] Figure 3 It is a structural diagram of a terminal device provided in a certain embodiment of the present application. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0051] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0052] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0053] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0054] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0055] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0056] See also Figure 1 , is a flow chart of a method for determining the number of distribution areas based on a substation provided by an embodiment of the present invention, comprising:

[0057] S1. Obtain equipment attribute parameters of the target substation, historical fault parameters of the target substation, theoretical electric energy capacity value of the target substation at the target time, target area served by the target substation, environmental parameters of the target area at the target time, power load of the target area at the target time, and corresponding preset power distribution ratio;

[0058] Schematically, in the power system, substations can transmit and supply electricity to residential areas, commercial areas, industrial areas, etc. Each substation has its corresponding service area; substations also have the function of storing electric energy, and the electric energy capacity value stored varies with time nodes;

[0059] Specifically, it is first necessary to determine the equipment attribute parameters of the target substation, the historical fault parameters of the target substation, and the theoretical power capacity value of the target substation at the target time; then determine the target area served by the target substation. After determining the target area, it is necessary to determine the environmental parameters of the target area at the target time, the power load of the target area at the target time, and the preset power distribution ratio corresponding to the power load.

[0060] S2. Inputting the equipment attribute parameters and the historical fault parameters into a preset first power loss prediction model, so that the first power loss prediction model determines a first power loss value of the target substation according to the equipment attribute parameters and the historical fault parameters;

[0061] In a preferred embodiment, the device attribute parameters include winding material, winding cross-sectional area, winding length and switch cabinet contact resistance value; the historical fault parameters include historical fault type, the number of occurrences of each historical fault type and the total number of historical faults;

[0062] Indicatively, the equipment attributes of the target substation itself will cause the target substation to consume a certain amount of electric energy during operation. For example, equipment aging causes resistance to increase, thereby increasing electric energy consumption, and the target substations are different in age at the target time; therefore, the equipment attribute parameters that need to be obtained include winding material, winding cross-sectional area, winding length, and switch cabinet contact resistance value; the historical fault parameters that need to be obtained include historical fault types, the number of occurrences of each historical fault type, and the total number of historical faults;

[0063] The step of inputting the device attribute parameters and the historical fault parameters into a preset first power loss prediction model so that the first power loss prediction model determines a first power loss value of the target substation according to the device attribute parameters and the historical fault parameters, comprises:

[0064] Input the winding material, the winding cross-sectional area, the winding length, the switch cabinet contact resistance value, the historical fault type, the number of occurrences of each historical fault type, and the total number of historical faults into the first power loss prediction model, so that the first power loss prediction model determines the first power loss value of the target substation according to the input data;

[0065] Schematically, the first power loss prediction model includes a loss factor prediction layer, a resistance prediction layer and a power loss prediction layer;

[0066] Specifically, the winding material, the winding cross-sectional area, the winding length, the contact resistance value of the switch cabinet, the historical fault type, the number of occurrences of each historical fault type, and the total number of historical faults are input into the first power loss prediction model;

[0067] After receiving the input data, the first power loss prediction model first predicts the loss factor according to the historical fault type, the number of occurrences of each historical fault type and the total number of historical faults. The specific expression is as follows:

[0068]

[0069] Where σ represents the loss factor; z represents the historical fault type; n represents the total number of historical fault types; w z represents the weight coefficient of the zth historical fault type; a represents the initial impact coefficient; e represents the base of the exponential function; b represents the impact coefficient of the number of faults; N z Indicates the number of times the zth historical fault type occurred;

[0070] It should be noted that the weight coefficient corresponding to each transformer fault type is preset; the initial impact coefficient is preset; the fault number impact coefficient can be determined by looking up the table;

[0071] Then, the resistance prediction layer predicts the total resistance value of the device according to the winding material, the winding cross-sectional area, the winding length and the contact resistance value of the switch cabinet, and the specific expression is as follows:

[0072]

[0073] In the formula, R all Indicates the total resistance value of the equipment; ρ indicates the resistivity corresponding to the winding material of the transformer; l indicates the winding length of the transformer; S indicates the winding cross-sectional area of ​​the transformer; R on Indicates the contact resistance value of the switch cabinet;

[0074] It should be noted that the resistivity corresponding to the winding material of the transformer can be determined by looking up the table of the winding material corresponding to the transformer;

[0075] Finally, after the loss factor and the total resistance of the equipment are calculated, the operating current of the target substation at the target time is predicted, and the first electric energy loss value P1 is calculated, and its specific expression is as follows:

[0076] P1=I(t) 2 *R all *tan(σ);

[0077] Where P1 represents the first power loss value; t represents the target time; I(t) represents the operating current of the target substation at the target time t; σ represents the loss factor; R all Indicates the total resistance of the device.

[0078] S3, inputting the environmental parameters into a preset second power loss prediction model, so that the second power loss prediction model determines a second power loss value of the target substation at a target time according to the environmental parameters;

[0079] In a preferred embodiment, the environmental parameters include temperature value, humidity value and air quality value;

[0080] Schematically, the environmental factors corresponding to the target area served by the target substation at different times will also consume a certain amount of electric energy. For example, an increase in ambient temperature may increase the conductor resistance, thereby increasing the electric energy loss; or excessively high ambient humidity may cause the performance of the insulation material to deteriorate, increase leakage, and thus increase the electric energy loss; for example, poor air quality (such as pollutants) will accelerate equipment aging, increase the conductor resistance, and thus increase the electric energy loss; therefore, after taking the above-mentioned environmental factors into consideration, it is necessary to obtain the environmental information of the target area at the target time, including temperature value, humidity value and air quality value.

[0081] The step of inputting the environmental parameter into a preset second power loss prediction model so that the second power loss prediction model determines a second power loss value of the target substation at a target time according to the environmental parameter includes:

[0082] Inputting the temperature value, the humidity value and the air quality value into the second power loss prediction model, so that the second power loss prediction model determines the second power loss value of the target substation at the target time according to the input data;

[0083] Schematically, the second power loss prediction model includes a temperature impact prediction layer, a humidity impact prediction layer, an air quality impact prediction layer, and a total energy consumption calculation layer;

[0084] Specifically, the temperature value, the humidity value and the air quality value are input into the second power loss prediction model;

[0085] After receiving the input data, the second power loss prediction model first predicts the temperature impact power loss value based on the temperature value, and the specific expression is as follows:

[0086] P T =a T (T-T0) 3 +b T (T-T0) 2 +c T (T-T0);

[0087] Where P T Indicates that temperature affects the power loss value; T represents the temperature value; T0 represents the preset optimal temperature for power distribution transmission; a T Indicates the preset multi-linear temperature influence coefficient; b T Indicates the preset twice linear temperature influence coefficient; c TIndicates the preset linear temperature influence coefficient;

[0088] Then, the humidity impact prediction layer predicts the humidity impact power loss value according to the humidity value, and its specific expression is as follows:

[0089]

[0090] Where P H Indicates the effect of humidity on power loss; H indicates humidity value; H0 indicates the preset optimal humidity for power distribution transmission; e indicates the base of the exponential function; d H represents the preset first humidity weight coefficient; e H represents a preset second humidity weight coefficient;

[0091] Next, the air quality impact prediction layer predicts the air quality impact power loss value based on the air quality value, and its specific expression is as follows:

[0092]

[0093] Where P A Indicates that air quality affects the power loss value; AQI indicates air quality value; c1 indicates a preset first air quality weight coefficient; c2 indicates a preset second air quality weight coefficient; c3 indicates a preset third air quality weight coefficient;

[0094] Finally, the temperature-affected power loss value P is calculated. T , Humidity affects the power loss value P H And the air quality affects the power loss value P A After that, the total energy consumption calculation layer affects the power loss value P according to the temperature T , the humidity affects the power loss value P H And the air quality affects the power loss value P A , the second electric energy loss value P2 is calculated, and its specific expression is as follows:

[0095] P2=P T +P H +P A .

[0096] S4. Calculate the actual power distribution value of the target substation according to the theoretical power capacity value, the first power loss value and the second power loss value;

[0097] In a preferred embodiment, the calculating the actual power distribution value of the target substation according to the theoretical power capacity value, the first power loss value and the second power loss value includes:

[0098] Subtract the first electric energy loss value from the theoretical electric energy capacity value to obtain a first electric energy capacity value;

[0099] Subtract the second electric energy loss value from the first electric energy capacity value to obtain an actual power distribution value of the target substation;

[0100] In an illustrative manner, after determining the theoretical power capacity value P of the target substation at the target time, determining the first power loss value P1 caused by the device's own attributes, and determining the second power loss value P2 caused by the environmental parameters of the target area, it is necessary to determine the actual power distribution value P of the target substation. _act , its specific expression is as follows:

[0101] Actual power distribution value P _act =theoretical power capacity value P-first power loss value P1-second power loss value P2.

[0102] S5. Determine the number of distribution areas to be distributed by the target substation at the target time according to the actual power distribution value, the power load and the preset power distribution ratio;

[0103] Schematically, the target area includes several residential areas, several commercial areas, and several electric vehicle charging stations;

[0104] Specifically, the proportion of electricity consumption allocated to residential areas, commercial areas and electric vehicle charging stations is different. In order to ensure the stability of residential areas, the proportion of electricity consumption allocated to residential areas is set higher;

[0105] In one embodiment, the preset residential electricity allocation ratio is set to 60%, the preset commercial electricity allocation ratio is set to 30%, and the preset charging station electricity allocation ratio is set to 10%.

[0106] In a preferred embodiment, the target area includes several residential areas; the power load includes an average power load of the residential area used to characterize the average power load of the residential area; the preset power distribution ratio includes a preset residential power distribution ratio;

[0107] Specifically, the process of determining the average electricity load of the residential area includes:

[0108] First, considering that the user activity levels in residential areas are different at different times, such as lower user activity levels in the morning and higher user activity levels in the evening, and considering that the number of visitors in residential areas may be different at different times, visitors may use electrical appliances or may not use electrical appliances, it is necessary to first obtain the total number of users in each residential area in the target area, the number of visitors in each residential area at the target time, the user activity level of each residential area at the target time, the per capita power consumption of each residential area at the target time, and the probability of visitors using electrical appliances in each residential area at the target time;

[0109] Then, based on the total number of users in each residential area, the number of visitors in each residential area at the target time, the user activity level in each residential area at the target time, the average power consumption per capita in each residential area at the target time, and the probability of visitors using electrical appliances in each residential area at the target time, the number of active users in each residential area at the target time is determined. Finally, based on the number of active users in each residential area at the target time and the average power consumption per capita, the average power load W(t) of each residential area in the target area at the target time is determined. r , the specific formula is as follows:

[0110]

[0111] Where t represents the target time; W(t) r represents the average electricity load of the residential area; N1 represents the total number of residential areas in the target area, i represents the i-th residential area; M i represents the total number of users in the ith residential area; A(t) i represents the user activity level of the i-th residential area at the target time t; E(t) i represents the number of visitors to the ith residential area at target time t; P(t) mutil represents the probability of a visitor using an appliance at target time t; W(h(t)) i represents the per capita electricity consumption of the ith residential area at the target time t; e represents the base of the exponential function; λ represents the preset time influence factor.

[0112] The determining, according to the actual power distribution value, the power load and the preset power distribution ratio, the number of power distribution areas to be distributed by the target substation at the target time includes:

[0113] The actual power distribution value is multiplied by the preset residential power distribution ratio to calculate the first total power consumption of all residential areas in the target area at the target time;

[0114] Dividing the first total power consumption by the average power load of the residential area, the number of residential areas to which the target substation distributes power at the target time is calculated;

[0115] Indicatively, the actual power distribution value is multiplied by the preset residential power distribution ratio to calculate the first total power consumption of all residential areas in the target area at the target time; the first total power consumption is divided by the average power load of the residential area to calculate the number of residential areas served by the target substation at the target time;

[0116] In a specific embodiment, it is assumed that the theoretical power capacity value P of the target substation at the target time is 3.01 megawatts (MW), the first power loss value P1 is 2KW (kilowatts), the second power loss value P2 is 8KW, the preset residential power distribution ratio is set to 60%, and the average power load of the residential area is 60KW;

[0117] Then the number of residential areas served by the target substation at the target time is calculated as:

[0118] (3010-2-8)*60%÷60=30 (pieces).

[0119] In a preferred embodiment, the target area includes a plurality of electric vehicle charging stations; the power load includes an average power load of the charging stations used to characterize the average power load of the electric vehicle charging stations; the preset power distribution ratio includes a preset power distribution ratio of the charging stations;

[0120] In one embodiment, the average power load of the charging station is determined by:

[0121] First, considering that the number of electric vehicles that need to be charged at different electric vehicle charging stations at different times may be different, and the remaining power of each electric vehicle may be different, it is necessary to obtain the number of charging piles at each electric vehicle charging station in the target area, the average charging power of each electric vehicle charging station at the target time, the average utilization rate of each electric vehicle charging station at the target time, and the average remaining power of the electric vehicles at each electric vehicle charging station at the target time, and then determine the average power load W(t) of the charging station by the following formula: E , as follows:

[0122]

[0123] In the formula, t represents the target time, t start Indicates the start time, t end represents the end time; N3 represents the number of electric vehicle charging stations in the target area; m k represents the number of charging piles at the kth electric vehicle charging station; P(h(t))k represents the average charging power of the kth electric vehicle charging station at the target time t; U(t) k represents the average utilization rate of the kth electric vehicle charging station at target time t; p(t) k represents the probability of electricity consumption of each charging pile at the kth electric vehicle charging station at the target time t; SOC represents the average remaining power of the electric vehicle at the kth electric vehicle charging station at the target time t, representing the battery load state of the electric vehicle, with a value of 0-1; f(t) k represents the charging time distribution function of the kth electric vehicle charging station at the target time t, characterizing the charging probability density of the kth electric vehicle charging station in different time periods within the target time t; g(SOC) represents the vehicle battery remaining power distribution function, characterizing the probability density of vehicles starting to charge with different remaining powers;

[0124] It should be noted that the target time is not a time point, but a time period. Therefore, the target time is represented by the range between the start time and the end time. The charging time distribution function f(t) is k and the vehicle battery remaining capacity distribution function g(SOC) are independent of each other;

[0125] Specifically, the charging time distribution function f(t) k The specific expression is as follows:

[0126]

[0127] It should be noted that the target time t is in hours;

[0128] Specifically, the specific expression of the vehicle battery remaining power distribution function g(SOC) is as follows:

[0129]

[0130] The determining, according to the actual power distribution value, the power load and the preset power distribution ratio, the number of power distribution areas to be distributed by the target substation at the target time includes:

[0131] The actual power distribution value is multiplied by the preset charging station power distribution ratio to calculate the second total power consumption of all electric vehicle charging stations in the target area at the target time;

[0132] Divide the second total power consumption by the average power load of the charging station to calculate the number of electric vehicle charging stations distributed by the target substation at the target time;

[0133] Indicatively, the actual power distribution value is multiplied by the preset charging station power distribution ratio to calculate the second total power consumption of all electric vehicle charging stations in the target area at the target time, and the second total power consumption is divided by the average power load of the charging station to calculate the number of electric vehicle charging stations distributed by the target substation at the target time;

[0134] In a specific embodiment, it is assumed that the theoretical power capacity value P of the target substation at the target time is 3.01 megawatts (MW), the first power loss value P1 is 2KW (kilowatts), the second power loss value P2 is 8KW, the preset charging station power allocation ratio is set to 10%, and the average power load of the charging station is 30KW;

[0135] Then the number of electric vehicle charging stations served by the target substation at the target time is calculated as:

[0136] (3010-2-8)*10%÷30=10(pieces).

[0137] In a preferred embodiment, the target area includes several commercial areas; the power load includes an average power load of the commercial area used to characterize the average power load of the commercial area; the preset power distribution ratio includes a preset commercial power distribution ratio;

[0138] Indicatively, commercial areas include, but are not limited to, office buildings, shops in shopping malls, restaurants, cinemas, hotels, inns, amusement parks, and other places that consume electricity;

[0139] Specifically, the process of determining the average power load of the commercial area includes:

[0140] First, the commercial area of ​​each commercial area in the target area, as well as the operating equipment density, average equipment power consumption, average number of users, and average user energy consumption of each commercial area at the target time are obtained;

[0141] Then, based on the commercial area of ​​each commercial area, the density of running equipment and the average power consumption of equipment in each commercial area at the target time, the equipment energy consumption of each commercial area at the target time is determined; then, according to the average number of users and the average user energy consumption of each commercial area at the target time, the user power consumption of each commercial area at the target time is determined;

[0142] Finally, based on the equipment energy consumption and user power consumption of each commercial area at the target time, the average power load W(t) of the commercial area in the target area is determined. b , the specific calculation formula is as follows:

[0143]

[0144] Where t represents the target time; W(t) b represents the average power load of the commercial area; N2 represents the total number of commercial areas in the target area; S j represents the commercial area of ​​the jth commercial district; D(t) j represents the operating equipment density (the number of electrical equipment per unit area) of the jth commercial area at the target time t; W1(h(t)) j represents the average equipment power consumption of the jth commercial area at the target time t; F(t) j represents the average number of users in the jth commercial area at the target time t; W2(h(t)) j represents the average user energy consumption of the jth commercial area at the target time t; e represents the base of the exponential function; α represents the preset peak power consumption impact coefficient.

[0145] The determining, according to the actual power distribution value, the power load and the preset power distribution ratio, the number of power distribution areas to be distributed by the target substation at the target time includes:

[0146] The actual power distribution value is multiplied by the preset commercial power distribution ratio to calculate the third total power consumption of all commercial areas in the target area at the target time;

[0147] Dividing the third total power consumption by the average power load of the commercial area, the number of commercial areas to be supplied with power by the target substation at the target time is calculated;

[0148] Indicatively, the actual power distribution value is multiplied by the preset commercial power distribution ratio to calculate the third total power consumption of all commercial areas in the target area at the target time, and the third total power consumption is divided by the average power load of the commercial area to calculate the number of commercial areas distributed by the target substation at the target time;

[0149] Specifically, in a specific embodiment, it is assumed that the theoretical power capacity value P of the target substation at the target time is 3.01 megawatts (MW), the first power loss value P1 is 2KW (kilowatts), the second power loss value P2 is 8KW, the preset charging station power allocation ratio is set to 30%, and the average power load of the commercial area is 45KW;

[0150] Then the number of commercial areas served by the target substation at the target time is calculated as:

[0151] (3010-2-8)*30%÷45=20 (pieces).

[0152] Therefore, in a specific embodiment, the target substation supplies power to 30 residential areas, the target substation supplies power to 20 commercial areas, and the target substation supplies power to 10 electric vehicle charging stations.

[0153] See also Figure 2 , is a device for determining the number of distribution areas based on a substation provided by an embodiment of the present invention, comprising: a data acquisition module, a first electric energy loss value calculation module, a second electric energy loss value calculation module, an actual distribution value calculation module and a distribution area number determination module;

[0154] The data acquisition module is used to obtain the equipment attribute parameters of the target substation, the historical fault parameters of the target substation, the theoretical electric energy capacity value of the target substation at the target time, the target area served by the target substation, the environmental parameters of the target area at the target time, the power load of the target area at the target time and the corresponding preset power distribution ratio;

[0155] The first power loss value calculation module is used to input the device attribute parameters and the historical fault parameters into a preset first power loss prediction model, so that the first power loss prediction model determines the first power loss value of the target substation according to the device attribute parameters and the historical fault parameters;

[0156] The second power loss value calculation module is used to input the environmental parameters into a preset second power loss prediction model, so that the second power loss prediction model determines the second power loss value of the target substation at the target time according to the environmental parameters;

[0157] The actual power distribution value calculation module is used to calculate the actual power distribution value of the target substation according to the theoretical power capacity value, the first power loss value and the second power loss value;

[0158] The power distribution area quantity determination module is used to determine the number of power distribution areas to be distributed by the target substation at the target time according to the actual power distribution value, the power load and the preset power distribution ratio.

[0159] See also Figure 3 , a certain embodiment of the present application further provides a terminal device, including:

[0160] one or more processors;

[0161] A memory, coupled to the processor, for storing one or more programs;

[0162] When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the number of distribution areas based on the substation as described above.

[0163] The processor is used to control the overall operation of the terminal device to complete all or part of the steps of the above-mentioned method for determining the number of distribution areas based on the substation. The memory is used to store various types of data to support the operation of the terminal device, and these data may include, for example, instructions for any application or method used to operate on the terminal device, and data related to the application. The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0164] In an exemplary embodiment, the terminal device can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the method for determining the number of distribution areas based on substations as described in any of the above embodiments, and achieve the same technical effect as the above method.

[0165] In another exemplary embodiment, a computer-readable storage medium including a computer program is also provided, and when the computer program is executed by a processor, the steps of the method for determining the number of distribution areas based on a substation as described in any of the above embodiments are implemented. For example, the computer-readable storage medium may be the above-mentioned memory including the computer program, and the above-mentioned computer program may be executed by a processor of a terminal device to complete the method for determining the number of distribution areas based on a substation as described in any of the above embodiments, and achieve the technical effect consistent with the above-mentioned method.

[0166] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for determining the number of distribution areas based on a substation, characterized in that: include: Obtaining equipment attribute parameters of the target substation, historical fault parameters of the target substation, theoretical electric energy capacity value of the target substation at the target time, target area served by the target substation, environmental parameters of the target area at the target time, power load of the target area at the target time, and corresponding preset power distribution ratio; Inputting the device attribute parameters and the historical fault parameters into a preset first power loss prediction model, so that the first power loss prediction model determines a first power loss value of the target substation according to the device attribute parameters and the historical fault parameters; Inputting the environmental parameters into a preset second power loss prediction model, so that the second power loss prediction model determines a second power loss value of the target substation at a target time according to the environmental parameters; Calculating an actual power distribution value of the target substation according to the theoretical power capacity value, the first power loss value, and the second power loss value; The number of distribution areas to be distributed by the target substation at the target time is determined according to the actual power distribution value, the power load and the preset power distribution ratio.

2. The method for determining the number of distribution areas based on a substation according to claim 1, characterized in that: The target area includes several residential areas; the power load includes an average power load of the residential area used to characterize the average power load of the residential area; the preset power distribution ratio includes a preset residential power distribution ratio; The determining, according to the actual power distribution value, the power load and the preset power distribution ratio, the number of power distribution areas to be distributed by the target substation at the target time includes: The actual power distribution value is multiplied by the preset residential power distribution ratio to calculate the first total power consumption of all residential areas in the target area at the target time; The first total power consumption is divided by the average power load of the residential area to calculate the number of residential areas to which the target substation distributes power at the target time.

3. The method for determining the number of distribution areas based on a substation according to claim 1, characterized in that: The target area includes a number of electric vehicle charging stations; the power load includes an average power load of the charging station used to characterize the average power load of the electric vehicle charging station; the preset power distribution ratio includes a preset charging station power distribution ratio; The determining, according to the actual power distribution value, the power load and the preset power distribution ratio, the number of power distribution areas to be distributed by the target substation at the target time includes: The actual power distribution value is multiplied by the preset charging station power distribution ratio to calculate the second total power consumption of all electric vehicle charging stations in the target area at the target time; The second total power consumption is divided by the average power load of the charging station to calculate the number of electric vehicle charging stations distributed by the target substation at the target time.

4. The method for determining the number of distribution areas based on a substation according to claim 1, characterized in that: The target area includes several commercial areas; the power load includes an average power load of the commercial area used to characterize the average power load of the commercial area; the preset power distribution ratio includes a preset commercial power distribution ratio; The determining, according to the actual power distribution value, the power load and the preset power distribution ratio, the number of power distribution areas to be distributed by the target substation at the target time includes: The actual power distribution value is multiplied by the preset commercial power distribution ratio to calculate the third total power consumption of all commercial areas in the target area at the target time; The third total power consumption is divided by the average power load of the commercial area to calculate the number of commercial areas to which the target substation distributes power at the target time.

5. The method for determining the number of distribution areas based on a substation according to claim 1, characterized in that: The equipment attribute parameters include winding material, winding cross-sectional area, winding length and switch cabinet contact resistance value; the historical fault parameters include historical fault type, the number of occurrences of each historical fault type and the total number of historical faults; The step of inputting the device attribute parameters and the historical fault parameters into a preset first power loss prediction model so that the first power loss prediction model determines a first power loss value of the target substation according to the device attribute parameters and the historical fault parameters, comprises: The winding material, the winding cross-sectional area, the winding length, the switch cabinet contact resistance value, the historical fault type, the number of occurrences of each historical fault type and the total number of historical faults are input into the first power loss prediction model, so that the first power loss prediction model determines the first power loss value of the target substation based on the input data.

6. The method for determining the number of distribution areas based on a substation according to claim 1, characterized in that: The environmental parameters include temperature value, humidity value and air quality value; The step of inputting the environmental parameter into a preset second power loss prediction model so that the second power loss prediction model determines a second power loss value of the target substation at a target time according to the environmental parameter includes: The temperature value, the humidity value and the air quality value are input into the second power loss prediction model, so that the second power loss prediction model determines the second power loss value of the target substation at the target time according to the input data.

7. The method for determining the number of distribution areas based on a substation according to claim 1, characterized in that: The calculating the actual power distribution value of the target substation according to the theoretical power capacity value, the first power loss value and the second power loss value includes: Subtract the first electric energy loss value from the theoretical electric energy capacity value to obtain a first electric energy capacity value; The actual power distribution value of the target substation is obtained by subtracting the second power loss value from the first power capacity value.

8. A device for determining the number of distribution areas based on a substation, characterized in that: include: A data acquisition module, a first power loss value calculation module, a second power loss value calculation module, an actual power distribution value calculation module, and a power distribution area quantity determination module; The data acquisition module is used to obtain the equipment attribute parameters of the target substation, the historical fault parameters of the target substation, the theoretical electric energy capacity value of the target substation at the target time, the target area served by the target substation, the environmental parameters of the target area at the target time, the power load of the target area at the target time and the corresponding preset power distribution ratio; The first power loss value calculation module is used to input the device attribute parameters and the historical fault parameters into a preset first power loss prediction model, so that the first power loss prediction model determines the first power loss value of the target substation according to the device attribute parameters and the historical fault parameters; The second power loss value calculation module is used to input the environmental parameters into a preset second power loss prediction model, so that the second power loss prediction model determines the second power loss value of the target substation at the target time according to the environmental parameters; The actual power distribution value calculation module is used to calculate the actual power distribution value of the target substation according to the theoretical power capacity value, the first power loss value and the second power loss value; The power distribution area quantity determination module is used to determine the number of power distribution areas to be distributed by the target substation at the target time according to the actual power distribution value, the power load and the preset power distribution ratio.

9. A terminal device, characterized in that: include: one or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the number of distribution areas based on a substation as described in any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining the number of distribution areas based on a substation as described in any one of claims 1 to 7 is implemented.

Images