Flexible load adjustable capability analysis method, system, equipment and medium

Abstract

The invention discloses a flexible load adjustable capability analysis method, system and device and a medium, and relates to the technical field of flexible power transmission, and the method comprises the steps: obtaining the characteristic data, user behavior data and power grid data of a flexible load device in a target power supply area; calculating a flexible load at any moment according to the characteristic data; calculating a behavior response factor of the user according to the flexible load of the flexible load equipment at any moment and the user behavior data; calculating a time scale adjustment factor of the flexible load equipment according to the behavior response factor of the user, the characteristic data and the power grid data; calculating a cost regulation factor of the flexible load equipment according to the behavior response factor of the user and the power grid data; and acquiring a flexibility analysis factor and a response speed analysis factor of the pre-configured flexible load equipment, and carrying out weighted summation on the time scale adjustment factor, the cost adjustment factor, the flexibility analysis factor and the response speed analysis factor to obtain an analysis result of the adjustable capability of the flexible load.

Description

Technical Field

[0001] The present invention relates to the technical field of flexible power transmission, and more specifically, to a method, system, device and medium for analyzing the adjustable capacity of a flexible load. Background Art

[0002] As the power system develops towards intelligence, load-side resources have gradually become an important support for grid operation and dispatch optimization. As a core component of demand response, flexible load can achieve balanced regulation of power demand within a certain range by adjusting user electricity consumption behavior. Existing technologies have achieved certain results in the evaluation of flexible load regulation capabilities, but there are still many shortcomings, requiring more comprehensive and complex analysis methods.

[0003] Existing analysis methods mostly focus on short-term regulation capabilities or single indicators (such as power regulation amount, response time), lack of systematic analysis of medium- and long-term flexibility, and it is difficult to fully reflect the regulation potential of flexible loads on different time scales; nor do they consider the comprehensive impact of multiple dimensions (regulation economic cost, user willingness, equipment characteristics, grid constraints), resulting in inaccurate analysis of the adjustable capacity of flexible loads. Summary of the invention

[0004] The purpose of the present invention is to provide a flexible load adjustable capacity analysis method, system, equipment and medium, which solves the problem that related technologies fail to comprehensively consider influencing factors such as adjustment economic cost, user willingness, equipment characteristics, grid constraints, etc. during the flexible load adjustable capacity analysis process, resulting in inaccurate analysis results.

[0005] A first aspect of the present invention provides a method for analyzing the adjustable capacity of a flexible load, the method comprising:

[0006] Obtain characteristic data of flexible load equipment, user behavior data and power grid data in the target power supply area;

[0007] Calculate the flexible load of the flexible load equipment at any time based on the characteristic data;

[0008] Calculate the user's behavior response factor according to the flexible load of the flexible load device at any time and the user's behavior data;

[0009] Calculate the time scale adjustment factor of the flexible load device based on the user's behavior response factor, characteristic data and power grid data;

[0010] Calculate the cost adjustment factor of the flexible load equipment based on the user's behavioral response factor and power grid data;

[0011] The flexibility analysis factor and response speed analysis factor of the pre-configured flexible load equipment are obtained, and the time scale adjustment factor, cost adjustment factor, flexibility analysis factor and response speed analysis factor are weighted and summed to obtain the analysis result of the adjustable capacity of the flexible load.

[0012] In one implementation, the expression for calculating the flexible load of the flexible load device at any time is:

[0013] Among them, P adj (t) represents the flexible load of the flexible load equipment at time t; η i represents the operating efficiency of the i-th flexible load equipment; P rated,i represents the rated power of the i-th flexible load device; δ standby,i represents the standby power of the i-th flexible load device; ∈ loss represents the transmission loss of the i-th flexible load device; g represents the device adjustment start coefficient; γ start,i Represents the startup time of the i-th flexible load device.

[0014] In one implementation, the expression for calculating the user's behavior response factor is:

[0015] Among them, W u (t) represents the behavioral response factor of the u-th user, σ u represents the sensitivity coefficient of the u-th user to economic rewards; ΔP adj (t) represents the change of flexible load at time t; ΔP tol (t) represents the change in the power threshold accepted by the user at time t; ρ fatigue Indicates the user's fatigue level for adjustment; W δ (τ) represents the user's willingness to adjust the flexible load at time point τ.

[0016] In one implementation, the time scale adjustment factor of the flexible load device is determined by integrating the sum of the short-term adjustment factor, the mid-term adjustment factor and the long-term adjustment factor at the adjustment time.

[0017] In one implementation, the calculation formula of the short-term adjustment factor is:

[0018] Where: k i represents the adjustment ratio of the i-th flexible load device; i Represents the short-term regulation attenuation coefficient of the i-th flexible load device; ΔR i (t) represents the fluctuation of the adjustment rate of the i-th flexible load device at time t; T response,irepresents the response time of the i-th flexible load device;

[0019] The calculation formula of the mid-term adjustment factor is: Where: M represents the number of users; Indicates the behavioral response result of the mth user at time t1; represents the behavioral sensitivity coefficient of the mth user; t1 represents the end time of the mid-term adjustment;

[0020] The calculation formula of the long-term adjustment factor is: Where: price Electricity price fluctuation coefficient; λ elec (t2) represents the real-time electricity price at time t2; μ w represents weather impact factor; P target (t2) represents the target adjustment power value at time t2; t2 represents the end time of long-term adjustment.

[0021] In one implementation, the cost adjustment factor of the flexible load device is determined by the sum of the power cost, the user inappropriate cost and the environmental cost;

[0022] The calculation formula for electricity cost is: Where: loss represents the power grid transmission loss factor, λ elec (t) represents the real-time electricity price at time t, P adj (t) represents the flexible load of the flexible load equipment at time t; t0 represents the start time of adjustment; t represents the end time of adjustment;

[0023] The calculation formula for user inappropriate cost is: Where: ζ represents the user's sensitivity coefficient to inappropriateness, represents the behavioral sensitivity coefficient of the mth user, represents the adjustment fatigue of the mth user, and M represents the number of users;

[0024] The formula for calculating environmental cost is: Where: T evn Indicates the ambient temperature.

[0025] In one implementation, the calculation formula for the flexibility analysis factor of the flexible load equipment is: Where ΔP max Indicates the maximum adjustment range; ω i (t) represents the adjustment effectiveness coefficient of the i-th flexible load device at time t; κ i represents the flexibility weight of the i-th flexible load device;

[0026] The calculation formula for the response speed analysis factor of flexible load equipment is: Among them, ε i represents the response priority of the i-th flexible load device; T resp,i represents the average response time of the i-th flexible load device; ψ i (t) represents the equipment technical condition coefficient of the i-th flexible load equipment at time t.

[0027] A second aspect of the present invention provides a flexible load adjustable capacity analysis system, the system comprising:

[0028] A data acquisition module, used to acquire characteristic data of flexible load equipment, user behavior data and power grid data in the target power supply area;

[0029] A flexible load calculation module is used to calculate the flexible load of the flexible load device at any time according to the characteristic data;

[0030] A behavior response factor calculation module is used to calculate the user's behavior response factor according to the flexible load of the flexible load device at any time and the user's behavior data;

[0031] A time scale adjustment factor calculation module is used to calculate the time scale adjustment factor of the flexible load device according to the user's behavior response factor, characteristic data and power grid data;

[0032] A cost adjustment factor calculation module is used to calculate the cost adjustment factor of the flexible load equipment according to the user's behavior response factor and the power grid data;

[0033] The flexible load regulation analysis module is used to obtain the flexibility analysis factor and response speed analysis factor of the pre-configured flexible load equipment, and to weight the sum of the time scale adjustment factor, cost adjustment factor, flexibility analysis factor and response speed analysis factor to obtain the analysis result of the flexible load adjustable capacity.

[0034] According to a third aspect of the present invention, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a method for analyzing the adjustable capacity of a flexible load as provided in the first aspect of the present invention is implemented.

[0035] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, a method for analyzing the adjustable capacity of a flexible load as provided in the first aspect of the present invention is implemented.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] In a flexible load adjustable capacity analysis method provided in an embodiment of the present invention, characteristic data, user behavior data and power grid data of flexible load equipment in the target power supply area are obtained; the flexible load of the flexible load equipment at any time is calculated according to the characteristic data; the user's behavior response factor is calculated according to the flexible load of the flexible load equipment at any time and the user behavior data; the time scale adjustment factor of the flexible load equipment is calculated according to the user's behavior response factor, characteristic data and power grid data; the cost adjustment factor of the flexible load equipment is calculated according to the user's behavior response factor and power grid data; the flexibility analysis factor and response speed analysis factor of the pre-configured flexible load equipment are obtained, and the time scale adjustment factor, cost adjustment factor, flexibility analysis factor and response speed analysis factor are weighted and summed to obtain the analysis result of the flexible load adjustable capacity. It can be seen that the present invention introduces the flexibility analysis factor and response speed analysis factor of the load power equipment in the analysis dimension, and combines the time scale adjustment factor and cost adjustment factor calculated by the user behavior data, characteristic data and power grid data to realize the comprehensive analysis of the load adjustable capacity of the flexible load equipment, so that the analysis result is more comprehensive and practical. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0039] Figure 1 A schematic diagram of a flow chart of a method for analyzing the adjustable capacity of a flexible load provided by an embodiment of the present invention;

[0040] Figure 2 A principle block diagram of a flexible load adjustable capacity analysis system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0042] It should be noted that the terms "include" or "may include" used in various embodiments of the present application indicate the presence of the function, operation or element applied for, and do not limit the addition of one or more functions, operations or elements. In addition, as used in various embodiments of the present application, the terms "include", "have" and their cognates are only intended to indicate specific features, numbers, steps, operations, elements, components or a combination of the foregoing items, and should not be understood as first excluding the presence of one or more other features, numbers, steps, operations, elements, components or a combination of the foregoing items or the possibility of adding one or more features, numbers, steps, operations, elements, components or a combination of the foregoing items.

[0043] In the description of the present invention, “plurality” means two or more than two, unless otherwise clearly and specifically defined.

[0044] Please refer to Figure 1 , Figure 1 A flow chart of a flexible load adjustable capacity analysis method provided by an embodiment of the present invention is as follows: Figure 1 As shown, the method includes:

[0045] S101, obtaining characteristic data of flexible load equipment, user behavior data and power grid data in a target power supply area.

[0046] In this embodiment, flexible load equipment refers to electrical equipment that can adjust its power consumption within a certain range. Its main features are flexibility and controllability. It can adapt to the grid dispatching requirements by adjusting power or working hours without significantly affecting the user experience or equipment functions, thereby achieving goals such as peak shaving and valley filling, and balancing supply and demand. Flexible load equipment mainly includes industrial flexible load equipment, commercial flexible load equipment, residential flexible load equipment, public infrastructure flexible load equipment, etc.

[0047] Characteristics of industrial flexible load equipment: large load, flexible adjustment, low comfort requirements; Typical equipment: Electric arc furnace: can control the running time to adjust the grid load. Electrolytic cell (aluminum electrolysis, chlor-alkali industry, etc.): can temporarily reduce power output to release grid pressure. Large pump station: water pump or oil pump running time can be adjusted for load management. Air compressor: intermittent operation is achieved through gas storage equipment.

[0048] Characteristics of commercial flexible load equipment: short adjustment cycle, service quality must be guaranteed. Typical equipment: Central air conditioning system: short-term adjustment is achieved by changing the cooling power. Elevator system: adjust the operation mode during off-peak hours. Lighting system: such as street lighting and shopping mall lighting, reduce power through intelligent control. Electric water heater: hot water storage can alleviate peak electricity consumption.

[0049] Characteristics of residential flexible load equipment: high comfort requirements and small adjustment range. Typical equipment: Air conditioner: optimize power consumption by adjusting the temperature set point or compressor power. Refrigerator: adjust the temperature set point in the short term to avoid affecting stored items. Washing machine / dishwasher: achieve peak power consumption through time scheduling. Smart socket: centrally manage the power consumption time of household appliances.

[0050] Characteristics of public infrastructure flexible load equipment: large scale and stable operating conditions. Rail transit system: dynamic adjustment of train running time and power distribution. Sewage treatment equipment: load flexibility by adjusting the treatment volume. Street light network: brightness adjustment through intelligent control.

[0051] More specifically, the characteristic data of flexible load equipment refers to operating efficiency, rated power, standby power, etc. User behavior data includes the user's basic load in each time period, the number of times the user participates in regulation, the user's acceptance of regulation power threshold, the user's fatigue for regulation, and the willingness to adjust the flexible load, etc. Grid data includes ambient temperature, real-time electricity price, grid transmission loss factor, weather impact factor, electricity price fluctuation coefficient, etc.

[0052] S102, calculating the flexible load of the flexible load device at any moment according to the characteristic data.

[0053] In this embodiment, the flexible load of the flexible load device at any time is calculated as follows:

[0054] Where: P adj (t) represents the flexible load at time t; η i represents the operating efficiency of the i-th flexible load equipment; P rated,i represents the rated power of the i-th flexible load device; δ standby,i represents the standby power of the i-th flexible load device; ∈ loss represents the transmission loss of the i-th flexible load device; g represents the device adjustment start coefficient, which describes the dynamic process of the device switching from the non-adjustment state (such as static or normal operation) to the adjustment state (such as load increase or decrease); γ start,i Represents the startup time of the i-th flexible load device.

[0055] S103, calculating the user's behavior response factor according to the flexible load of the flexible load device at any moment and the user's behavior data.

[0056] In this embodiment, the user's behavior response factor is calculated as follows:

[0057] Where: uIt indicates the user's sensitivity coefficient to economic rewards. The higher the value, the stronger the user's sensitivity to economic rewards, that is, the user is more interested in the economic benefits in the adjustment process; ΔP adj (t) represents the change of flexible load at time t; ΔP tol (t) represents the change in the power threshold accepted by the user at time t; ρ fatigue Indicates the user's fatigue level for adjustment; W δ (τ) represents the user's willingness to adjust the flexible load at time point τ, that is, the intensity or acceptance of the user's willingness to participate in load adjustment, which is determined by multiple factors, including but not limited to the attractiveness of electricity price subsidies or cost savings to users, whether the load adjustment affects the user's living habits or equipment usage experience, and whether the adjustment frequency is too high, which may lead to a gradual decrease in the user's willingness to participate. W δ (τ) changes dynamically over time and is affected by the cumulative impact of historical adjustment behaviors. If adjustments are made frequently, the accumulated fatigue ρ fatigue It will suppress willingness, but if the adjustment brings significant economic benefits, willingness will increase.

[0058] Among them, the user's fatigue degree for adjustment ρ fatigue The calculation formula is: Where: N f (t) represents the number of adjustments the user participated in at time t; T total Represents the total market during the evaluation period.

[0059] Among them, the user's willingness to adjust the flexible load at time point τ is W δ The calculation formula of (τ) is:

[0060] R(τ) represents the economic incentives obtained by the user at time point τ, which can be expressed as: R(τ) = P adj (τ)·C reward (τ), where C reward (τ) represents the economic compensation per unit power at time point τ; T avail Indicates the user's available time period, which refers to the time allowed to participate in the adjustment; T crit Indicates the key time period of users' actual load usage, such as peak electricity consumption period.

[0061] S104, calculating a time scale adjustment factor of the flexible load device according to the user's behavior response factor, characteristic data and power grid data.

[0062] In this embodiment, the multi-time scale adjustment factor divides the adjustment capability into a short-term adjustment factor (response in seconds), a medium-term adjustment factor (response in minutes), and a long-term adjustment factor (response in hours).

[0063] The time scale adjustment factor of the flexible load device is determined by integrating the sum of the short-term adjustment factor, the medium-term adjustment factor and the long-term adjustment factor under the adjustment time, which is specifically shown in the following formula:

[0064] in: represents the multi-time scale adjustment factor; t0 represents the adjustment start time; t represents the adjustment end time; C short represents the short-term adjustment factor; C medium represents the mid-term regulatory factor; C long represents the long-term adjustment factor.

[0065] The calculation formula of the short-term adjustment factor is: Where: k i represents the adjustment ratio of the i-th flexible load device; i Represents the short-term regulation attenuation coefficient of the i-th flexible load device; ΔR i (t) represents the fluctuation of the adjustment rate of the i-th flexible load device at time t; T response,i represents the response time of the i-th flexible load device;

[0066] The calculation formula of the mid-term adjustment factor is: Where: M represents the number of users; Indicates the behavioral response result of the mth user at time t1; represents the behavioral sensitivity coefficient of the mth user; t1 represents the end time of the mid-term adjustment;

[0067] The calculation formula of the long-term adjustment factor is: Where: price Electricity price fluctuation coefficient; λ elec (t2) represents the real-time electricity price at time t2; μ w represents weather impact factor; P target (t2) represents the target adjustment power value at time t2; t2 represents the end time of long-term adjustment.

[0068] S105, calculating a cost adjustment factor of the flexible load device according to the user's behavior response factor and the power grid data.

[0069] In this embodiment, the cost adjustment factor of the flexible load equipment is determined by the sum of the power cost, the user inappropriate cost and the environmental cost.

[0070] The calculation formula for electricity cost is: Where: loss represents the power grid transmission loss factor, λ elec (t) represents the real-time electricity price at time t, P adj(t) represents the flexible load of the flexible load equipment at time t; t0 represents the start time of adjustment; t represents the end time of adjustment;

[0071] The calculation formula for user inappropriate cost is: Where: ζ represents the user's sensitivity coefficient to inappropriateness, which is used to measure the user's tolerance to inappropriateness caused by load regulation (such as reduced comfort, broken usage habits, etc.). For highly sensitive users (such as the elderly, children, or places with high environmental requirements), ζ is usually higher, and for industrial loads or non-critical equipment, ζ is usually lower; represents the adjustment fatigue of the mth user;

[0072] The formula for calculating environmental cost is: Where: T evn Indicates the ambient temperature.

[0073] S106, obtaining the flexibility analysis factor and response speed analysis factor of the pre-configured flexible load equipment, weightedly summing the time scale adjustment factor, the cost adjustment factor, the flexibility analysis factor and the response speed analysis factor to obtain an analysis result of the adjustable capacity of the flexible load.

[0074] In this embodiment, the calculation formula of the flexibility analysis factor of the flexible load equipment is:

[0075] Where ΔP max Indicates the maximum adjustment range; ω i (t) represents the adjustment effectiveness coefficient of the i-th flexible load device at time t; κ i It represents the flexibility weight of the i-th flexible load device. The flexibility weight reflects the contribution of the device to the overall flexibility and is usually determined by the adjustment range and usage priority of the device.

[0076] The calculation formula for the response speed analysis factor of flexible load equipment is: Among them, ε i represents the response priority of the i-th flexible load device. The higher the response priority value, the more important the contribution of the device to the response speed. resp,i represents the average response time of the i-th flexible load device; ψ i (t) represents the equipment technical condition coefficient of the i-th flexible load equipment at time t, which represents the technical limitations of the equipment response speed (such as startup delay, mechanical inertia).

[0077] The weighted sum of the time scale adjustment factor, cost adjustment factor, flexibility analysis factor and response speed analysis factor is: Where: Z represents the analysis result of the flexible load adjustment capacity of the region, α1, α2, and α3 represent the weight coefficients of the flexibility analysis factor, the response speed analysis factor, and the cost adjustment factor, respectively.

[0078] Specifically, for the calculated Z, multiple analysis intervals may be set, and an analysis level may be set for each interval. The level of the flexible load regulation capability of the region may be determined based on the interval into which the analysis result of the flexible load regulation capability falls.

[0079] Please refer to Figure 2 , Figure 2 A principle block diagram of a flexible load adjustable capacity analysis system provided by an embodiment of the present invention, such as Figure 2 As shown, the system includes:

[0080] The data acquisition module 210 is used to acquire characteristic data of flexible load devices, user behavior data and power grid data in the target power supply area;

[0081] A flexible load calculation module 220, for calculating the flexible load of the flexible load device at any time according to the characteristic data;

[0082] The behavior response factor calculation module 230 is used to calculate the user's behavior response factor according to the flexible load of the flexible load device at any time and the user's behavior data;

[0083] The time scale adjustment factor calculation module 240 is used to calculate the time scale adjustment factor of the flexible load device according to the user's behavior response factor, characteristic data and power grid data;

[0084] The cost adjustment factor calculation module 250 is used to calculate the cost adjustment factor of the flexible load device according to the user's behavior response factor and the power grid data;

[0085] The flexible load regulation analysis module 260 is used to obtain the flexibility analysis factor and response speed analysis factor of the pre-configured flexible load equipment, and weightedly sum the time scale adjustment factor, cost adjustment factor, flexibility analysis factor and response speed analysis factor to obtain the analysis result of the flexible load adjustable capacity.

[0086] A flexible load adjustable capacity analysis system in an embodiment of the present application is similar to the above Figure 1 The flexible load adjustable capacity analysis method shown is a technical solution based on the same inventive concept. Through the detailed description of the flexible load adjustable capacity analysis method provided in the above embodiment, technical personnel in this field can clearly understand the implementation process of a flexible load adjustable capacity analysis system in this embodiment, so for the sake of brevity of the specification, it will not be repeated here.

[0087] Accordingly, the flexible load adjustable capacity analysis system provided in this embodiment introduces the flexibility analysis factor and response speed analysis factor of the load power equipment in the analysis dimension, and combines the time scale adjustment factor and cost adjustment factor calculated from user behavior data, characteristic data and power grid data to realize a comprehensive analysis of the load adjustable capacity of the flexible load equipment, thereby making the analysis results more comprehensive and practical.

[0088] An embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the regional power dispatching method based on the load free trading market as provided in the above embodiment is implemented.

[0089] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the regional power dispatching method based on a load free trading market as provided in the above embodiment.

[0090] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for analyzing the adjustable capacity of a flexible load, characterized in that: Methods include: Obtain characteristic data of flexible load equipment, user behavior data and power grid data in the target power supply area; Calculate the flexible load of the flexible load equipment at any time based on the characteristic data; Calculate the user's behavior response factor according to the flexible load of the flexible load device at any time and the user's behavior data; Calculate the time scale adjustment factor of the flexible load device based on the user's behavior response factor, characteristic data and power grid data; Calculate the cost adjustment factor of the flexible load equipment based on the user's behavioral response factor and power grid data; The flexibility analysis factor and response speed analysis factor of the pre-configured flexible load equipment are obtained, and the time scale adjustment factor, cost adjustment factor, flexibility analysis factor and response speed analysis factor are weighted and summed to obtain the analysis result of the adjustable capacity of the flexible load.

2. A flexible load adjustable capacity analysis method according to claim 1, characterized in that: The expression for calculating the flexible load of the flexible load equipment at any time is: Among them, P adj (t) represents the flexible load of the flexible load equipment at time t; η i represents the operating efficiency of the i-th flexible load equipment; P rated,i represents the rated power of the i-th flexible load device; δ standby,i represents the standby power of the i-th flexible load device; ∈ loss represents the transmission loss of the i-th flexible load device; g represents the device adjustment start coefficient; γ start,i Represents the startup time of the i-th flexible load device.

3. A flexible load adjustable capacity analysis method according to claim 1, characterized in that: The expression for calculating the user's behavioral response factor is: Among them, W u (t) represents the behavioral response factor of the u-th user, σ u represents the sensitivity coefficient of the u-th user to economic rewards; ΔP adj (t) represents the change of flexible load at time t; ΔP tol (t) represents the change in the power threshold accepted by the user at time t; ρ fatigue Indicates the user's fatigue level for adjustment; W δ (τ) represents the user's willingness to adjust the flexible load at time point τ.

4. A flexible load adjustable capacity analysis method according to claim 1, characterized in that: The time scale adjustment factor of the flexible load device is determined by integrating the sum of the short-term adjustment factor, the medium-term adjustment factor and the long-term adjustment factor under the adjustment time.

5. A flexible load adjustable capacity analysis method according to claim 4, characterized in that: The calculation formula of the short-term adjustment factor is: Where: k i represents the adjustment ratio of the i-th flexible load device; i Represents the short-term regulation attenuation coefficient of the i-th flexible load device; ΔR i (t) represents the fluctuation of the adjustment rate of the i-th flexible load device at time t; T response,i represents the response time of the i-th flexible load device; The calculation formula of the mid-term adjustment factor is: Where: M represents the number of users; Indicates the behavioral response result of the mth user at time t1; represents the behavioral sensitivity coefficient of the mth user; t1 represents the end time of the mid-term adjustment; The calculation formula of the long-term adjustment factor is: Where: price Electricity price fluctuation coefficient; λ elec (t2) represents the real-time electricity price at time t2; μ w represents weather impact factor; P target (t2) represents the target adjustment power value at time t2; t2 represents the end time of long-term adjustment.

6. A flexible load adjustable capacity analysis method according to claim 1, characterized in that: The cost adjustment factor of the flexible load equipment is determined by the sum of the power cost, the user inappropriate cost and the environmental cost; The calculation formula for electricity cost is: Where: loss represents the power grid transmission loss factor, λ elec (t) represents the real-time electricity price at time t, P adj (t) represents the flexible load of the flexible load equipment at time t; t0 represents the start time of adjustment; t represents the end time of adjustment; The calculation formula for user inappropriate cost is: Where: ζ represents the user's sensitivity coefficient to inappropriateness, represents the behavioral sensitivity coefficient of the mth user, represents the adjustment fatigue of the mth user, and M represents the number of users; The formula for calculating environmental cost is: Where: T evn Indicates the ambient temperature.

7. A flexible load adjustable capacity analysis method according to claim 1, characterized in that: The calculation formula for the flexibility analysis factor of flexible load equipment is: Among them, ΔP max Indicates the maximum adjustment range; ω i (t) represents the adjustment effectiveness coefficient of the i-th flexible load device at time t; κ i represents the flexibility weight of the i-th flexible load device; The calculation formula for the response speed analysis factor of flexible load equipment is: Among them, ε i represents the response priority of the i-th flexible load device; T resp,i represents the average response time of the i-th flexible load device; ψ i (t) represents the equipment technical condition coefficient of the i-th flexible load equipment at time t.

8. A flexible load adjustable capacity analysis system, characterized in that: The system includes: A data acquisition module, used to acquire characteristic data of flexible load equipment, user behavior data and power grid data in the target power supply area; A flexible load calculation module is used to calculate the flexible load of the flexible load device at any time according to the characteristic data; A behavior response factor calculation module is used to calculate the user's behavior response factor according to the flexible load of the flexible load device at any time and the user's behavior data; A time scale adjustment factor calculation module is used to calculate the time scale adjustment factor of the flexible load device according to the user's behavior response factor, characteristic data and power grid data; A cost adjustment factor calculation module is used to calculate the cost adjustment factor of the flexible load equipment according to the user's behavior response factor and the power grid data; The flexible load regulation analysis module is used to obtain the flexibility analysis factor and response speed analysis factor of the pre-configured flexible load equipment, and to weight the sum of the time scale adjustment factor, cost adjustment factor, flexibility analysis factor and response speed analysis factor to obtain the analysis result of the flexible load adjustable capacity.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, a flexible load adjustable capacity analysis method as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, a flexible load adjustable capacity analysis method as described in any one of claims 1 to 7 is implemented.

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