A multi-level flattening cost modeling method, device and equipment under a multi-activation mechanism and a medium

Abstract

The application discloses a multi-incentive mechanism-based multi-stage flat equalization cost modeling method and device, equipment and medium, comprising: constructing a flat equalization response cost model according to the implicit cost, direct cost and transferred power of a user, wherein the implicit cost comprises an air conditioner thermal comfort sacrifice cost and an SOC loss cost; determining the eigenvalue of the implicit cost of the user; constructing a flat equalization peak electricity price response cost model, a flat equalization sharp peak electricity price response cost model and a flat equalization demand response subsidy cost model based on the flat equalization response cost model, and obtaining a multi-stage flat equalization cost model; and constructing a consumer psychology model under a multi-incentive mechanism based on the multi-stage flat equalization cost model, wherein the consumer psychology model under the multi-incentive mechanism is used for determining the demand side resource response degree under different incentive levels. The application belongs to the field of energy evaluation. The application can realize the potential evaluation of demand side resources under different incentive levels.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of energy assessment, and in particular to a multi-level flat cost modeling method, device, equipment and medium under a multi-incentive mechanism. BACKGROUND

[0002] The quantitative assessment of demand-side resource potential refers to the process of measuring and evaluating the quantity and quality of flexible resources that can be provided by the user side. Air conditioning load and electric vehicles are key resources on the demand side. By optimizing air conditioning regulation and orderly charging and discharging of electric vehicles, peak load can be effectively reduced, the pressure on the power grid caused by disordered charging can be relieved, and peak-valley load balance can be achieved.

[0003] However, on the one hand, existing research focuses on the objective evaluation of changes in user psychological demand when analyzing user-side demand response potential, and pays less attention to the impact of incremental hardware and equipment costs on user response potential. At the same time, such research often lacks indicators for quantitative comparison between different resource flexibilities, thereby limiting comprehensive assessment of user response potential. On the other hand, such research focuses on a single incentive mechanism such as time-of-use pricing or demand response, while ignoring the marginal cost increasing effect that may be triggered by multi-level incentive mechanisms, thereby reducing the accuracy of the assessment results and affecting the scientific formulation and effective implementation of demand-side resource management strategies. Therefore, there is an urgent need for a more reasonable method for evaluating the incentive cost required by users. SUMMARY

[0004] The present application provides a multi-level flat cost modeling method, device, equipment and medium under a multi-incentive mechanism, which solves the technical problem of unreasonable evaluation of the incentive cost required by users in the prior art, and achieves the technical effect of more reasonable evaluation of the incentive cost required by users.

[0005] In a first aspect, the present application provides a multi-level flat cost modeling method under a multi-incentive mechanism, the method comprising:

[0006] constructing a flat response cost model according to the implicit cost, direct cost and transferred power of the user, wherein the implicit cost includes air conditioner thermal comfort sacrifice cost and SOC loss cost;

[0007] determining the eigenvalue of the implicit cost of the user;

[0008] constructing a flat peak electricity price response cost model, a flat peak electricity price response cost model and a flat demand response subsidy cost model based on the flat response cost model, and obtaining a multi-level flat cost model;

[0009] A consumer psychology model under multi-incentive mechanism is constructed based on a multi-level cost model, wherein the consumer psychology model under multi-incentive mechanism is used to determine the response degree of demand side resources under different incentive levels.

[0010] Further, the cost model of the response to the flat rate includes:

[0011]

[0012] wherein I res represents the initial incremental construction investment of the project, n represents the economic evaluation life of the project, V R represents the residual value of the fixed assets, A n represents the implicit cost of the project in the nth year, C n represents the total annual operation cost of the project in the nth year, D n represents the total annual replacement cost of the project in the nth year, P n represents the interest in the nth year, E n represents the electricity transferred from the first preset electricity price period to the second preset electricity price period by the air conditioning users and the charging and discharging resources in the operation period of the nth year of the project under the given peak electricity price, peak electricity price and demand response electricity price, i represents the expected yield of the project, LCOE res represents the cost model of the response to the flat rate;

[0013] wherein,

[0014]

[0015] wherein, represents the incentive cost of sacrificing air conditioning comfort, represents the incentive cost of electric vehicle loss.

[0016] Further, the characteristic value of the implicit cost of the user is determined, including:

[0017] The incentive cost of the air conditioning user is determined, including:

[0018] p inc (PMV)=a1PMV 2 +σ1

[0019] wherein a1 represents the incentive cost sensitivity coefficient of the user to sacrificing comfort, σ1 represents a constant term, p inc (PMV) represents the incentive cost of the air conditioning user, and PMV represents the thermal comfort;

[0020] wherein PMV, including:

[0021]

[0022] wherein M represents the metabolic rate of the human body, pa represents the water vapor component, W is the mechanical work produced by the human body; t a represents the air temperature, f c1 represents the clothing coefficient, represents the mean radiation temperature, t c1 Indicates body surface temperature;

[0023] Determine the cost of incentives for electric vehicle users, including:

[0024] p inc (U) = a2U(△SOC) 2 +σ2

[0025]

[0026] Among them, a2 represents the user's sensitivity coefficient to the incentive cost brought by sacrificing SOC, σ2 represents the constant term, and p inc (U) represents the incentive cost of electric vehicle users, U represents the dissatisfaction of electric vehicle users, and U max represents the maximum dissatisfaction of electric vehicle users, β represents the sensitivity coefficient of dissatisfaction caused by the user sacrificing SOC, ΔSOC represents the loss of electric vehicle state of charge, and ΔSOC max Indicates the maximum state of charge loss of electric vehicles;

[0027] Clustering is performed based on the K-means clustering model, so that in, to The sum is to The sum is

[0028] The K-Means algorithm is used to determine the characteristic values ​​of the implicit costs under peak conditions, the characteristic values ​​of the implicit costs under spike conditions, and the characteristic values ​​of the implicit costs under demand response conditions.

[0029] Furthermore, a levelized peak electricity price response cost model is constructed, including:

[0030]

[0031] Among them, C1 represents the levelized response cost under peak-valley electricity prices, X1 represents the frequency of charging and discharging resource users participating in peak-valley electricity price response each year, N1 represents the average response time, δ1 represents the acceptable adjustment power of users under peak-valley electricity prices, θ1 represents the proportion of movable loads during peak hours, and P peak represents the average load of users during peak hours, C res represents the incremental cost, E reselectric quantity transferred from the first preset electricity price period to the second preset electricity price period;

[0032] wherein,

[0033] C peak =C1(1+r1)

[0034] wherein, r1 represents a profit rate expected by the user under the peak-valley electricity price, C peak represents a flat peak electricity price.

[0035] Further, a flat peak-shaving electricity price response cost model is constructed, including:

[0036]

[0037] wherein, C2 represents a flat response cost under the peak-shaving electricity price, X2 represents a frequency of participation in the peak-shaving electricity price response by the air conditioner user and the charging and discharging resource user per year, N2 represents an average length of time for each participation in the peak-shaving electricity price response, δ2 represents a proportion of adjustable power of the user under the peak-shaving electricity price, θ2 represents a proportion of movable load in the peak period, P cri represents an average value of the load of the user in the peak period;

[0038] wherein,

[0039] C cri =C2(1+r2)

[0040] wherein, C cri is a flat peak-shaving electricity price, and r2 is a profit rate expected by the user under the peak-shaving electricity price.

[0041] Further, a flat demand response subsidy cost model is constructed, including:

[0042]

[0043] wherein, C3 represents a flat marginal response cost under the demand response, X3 represents a frequency of participation in the demand response by the air conditioner user and the charging and discharging resource user per year, N3 represents an average length of time for each participation in the demand response, δ3 represents a proportion of adjustable power of the user under the demand response, P de represents an average value of the load of the user in the demand response period;

[0044] wherein,

[0045] C de =C3(1+r3)

[0046] wherein, C de is a flat demand response subsidy, and r3 is a profit rate expected by the user under the demand response.

[0047] Further, a consumer psychology model under multi-incentive mechanism is constructed based on the multi-level flat cost model, including:

[0048] For air conditioner load, charging and discharging resources, the consumer psychology model meets:

[0049]

[0050] Wherein, Δp i represents the price difference, Δp i includes Δp1, Δp2 and Δp3, wherein Δp1 is the difference between the discharging peak-valley electricity price and the preset low-valley electricity price C valley , Δp2 is the difference between the peak electricity price and the preset low-valley electricity price C valley , Δp3 is the difference between the demand response subsidy and the preset low-valley electricity price C valley , b is the minimum perceptible difference of the user, p s is the electricity price saturation threshold, λ s represents the upper limit of the user load transfer rate, K is the slope of the linear section of the linear function, λ c is the air conditioner and intelligent orderly charging user load transfer rate;

[0051] For load response and incentive cost, the consumer psychology model meets:

[0052] Wherein, E a represents the electricity consumption in the first preset electricity price period before the execution of peak-valley electricity price, peak electricity price and demand response, E b represents the electricity consumption in the first preset electricity price period after the execution of peak-valley electricity price, peak electricity price and demand response;

[0053] For load response and incentive cost, the consumer psychology model meets:

[0054]

[0055] Wherein, λ d is the load transfer rate of V2G and other charging and discharging resources;

[0056]

[0057] E c represents the charging amount in the first preset electricity price period before the execution of discharging peak-valley electricity price, peak electricity price and demand response, E d represents the discharging amount in the first preset electricity price period after the execution of discharging peak-valley electricity price, peak electricity price and demand response;

[0058] It can be obtained that:

[0059]

[0060] Δp case (λ)=Δp ac (λ ac r ac )+Δp sc (λ sc r sc )+Δp v2g (λ v2g r v2g )

[0061] wherein, λ ac is the adjustment depth of the air conditioning user, λ sc is the adjustment depth of the intelligent orderly charging user, λ v2g is the adjustment depth of the V2G user, r ac is the resource proportion of the air conditioning user, r sc is the resource proportion of the intelligent orderly charging user, r v2g is the resource proportion of the V2G user, Δp ac is the relationship between the response behavior and the incentive cost of the air conditioning user, Δp sc is the relationship between the response behavior and the incentive cost of the intelligent orderly charging user, Δp v2g is the relationship between the response behavior and the incentive cost of the V2G user, Δp case represents the relationship between the response behavior and the incentive cost of the user in the scene, and λ is the load transfer rate of the air conditioning, the intelligent orderly charging and the V2G user.

[0062] In a second aspect, the present application provides a multi-incentive mechanism-based multi-level flat equalization cost modeling device, which comprises:

[0063] An initial model construction module is configured to construct a flat equalization response cost model according to the implicit cost, the direct cost and the transferred power of the user, wherein the implicit cost comprises an air conditioning thermal comfort sacrifice cost and an SOC loss cost.

[0064] An eigenvalue determination module is configured to determine the eigenvalue of the implicit cost of the user.

[0065] A multi-level model construction module is configured to construct a flat equalization peak electricity price response cost model, a flat equalization sharp peak electricity price response cost model and a flat equalization demand response subsidy cost model based on the flat equalization response cost model, and obtain a multi-level flat equalization cost model.

[0066] An evaluation module is configured to construct a multi-incentive mechanism-based consumer psychology model based on the multi-level flat equalization cost model, wherein the multi-incentive mechanism-based consumer psychology model is used to evaluate the demand side resource responsiveness under different incentive levels.

[0067] In a third aspect, the present application provides an electronic device, which comprises:

[0068] a processor;

[0069] a memory for storing processor-executable instructions;

[0070] The processor is configured to implement a multi-level flattening cost modeling method under a multi-incentive mechanism as provided in the first aspect.

[0071] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to implement a multi-level flattening cost modeling method under a multi-incentive mechanism as provided in the first aspect.

[0072] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0073] The present application provides a multi-level flattening cost modeling method under a multi-incentive mechanism, the method comprising: constructing a flattening response cost model according to the implicit cost, direct cost and transferred power of the user, wherein the implicit cost includes air conditioner thermal comfort sacrifice cost and SOC loss cost; determining the eigenvalue of the implicit cost of the user; constructing a flattening peak electricity price response cost model, a flattening sharp peak electricity price response cost model and a flattening demand response subsidy cost model based on the flattening response cost model, and obtaining a multi-level flattening cost model; constructing a consumer psychology model under a multi-incentive mechanism based on the multi-level flattening cost model, wherein the consumer psychology model under the multi-incentive mechanism is used to determine the demand side resource response degree under different incentive levels. The present application quantifies the implicit cost required by the user to sacrifice the comfort of the air conditioner and the SOC loss, analyzes and obtains the multi-level flattening response cost under the peak, sharp and demand response subsidy incentives, and on this basis, establishes a consumer psychology model of the air conditioner load and the charging and discharging resource considering the multi-incentive mechanism based on the consumer psychology model. The consumer psychology model can more accurately evaluate the influence of the incentive mechanism on the electricity cost, and considers the price fluctuation of different time periods and the effect of the incentive measures. In addition, the consumer psychology model not only considers the influence of the equipment incremental cost on the user response potential, but also reflects the marginal cost increasing effect under the multi-level incentive mechanism, thereby providing a reliable quantitative basis for the power grid to accurately evaluate the incentive cost required by the user. BRIEF DESCRIPTION OF DRAWINGS

[0074] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0075] Figure 1 A flowchart of a multi-level flattening cost modeling method under a multi-incentive mechanism provided by the present application is shown in the figure.

[0076] Figure 2 A schematic diagram of a segmented linear function for air conditioners and intelligent orderly charging users. DETAILED DESCRIPTION

[0077] The embodiments of the present application provide a multi-level flattening cost modeling method under a multi-incentive mechanism, and solve the technical problem of unreasonable evaluation of user required incentive cost in the prior art.

[0078] The technical solution of the present application is to solve the above technical problems, and the general idea is as follows:

[0079] A multi-level flattening cost modeling method under a multi-incentive mechanism, the method comprising: constructing a flattening response cost model according to the implicit cost, direct cost and transferred power of a user, wherein the implicit cost comprises air conditioner thermal comfort sacrifice cost and SOC loss cost; determining the eigenvalue of the implicit cost of the user; constructing a flattening peak electricity price response cost model, a flattening sharp peak electricity price response cost model and a flattening demand response subsidy cost model based on the flattening response cost model, and obtaining a multi-level flattening cost model; and constructing a consumer psychology model under a multi-incentive mechanism based on the multi-level flattening cost model, wherein the consumer psychology model under a multi-incentive mechanism is used to determine the demand side resource responsiveness under different incentive levels.

[0080] In order to better understand the above technical solution, the above technical solution will be described in detail in combination with the drawings of the specification and the specific embodiments.

[0081] First of all, the term "and / or" appearing in this paper is only to describe the association relationship of the associated objects, which means that there can be three kinds of relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " in this paper generally represents that the front and rear associated objects are in an "or" relationship.

[0082] The peak-valley electricity price refers to the difference between the peak electricity price and the valley electricity price, and the electricity price can be divided into valley electricity price, flat section electricity price, peak electricity price and sharp peak electricity price according to the load condition. The demand response price refers to the grid regulation strategy and the emergency compensation price of the user performing the strategy.

[0083] The present application provides a multi-level flattening cost modeling method under a multi-incentive mechanism as shown in the figure. Figure 1 The method comprises steps S11-S14:

[0084] Step S11, constructing a flat response cost model according to the implicit cost, direct cost and transferred power of the user, wherein the implicit cost includes the sacrifice cost of air conditioner thermal comfort and the SOC loss cost.

[0085] The flat response cost model includes:

[0086]

[0087] Wherein, I res represents the initial incremental construction investment of the project, n represents the economic evaluation life of the project, V R represents the residual value of fixed assets, A n represents the implicit cost of the nth year of the project, C n represents the total annual operating cost of the nth year of the project, D n represents the total annual replacement cost of the nth year of the project, P n represents the interest of the nth year, E n represents the power transferred from the first preset power period to the second preset power period by the air conditioner user and the charging and discharging resource in the nth year of the project operation period under the given peak price, peak price and demand response price, wherein the first preset power period is the high price period, and the second preset power period is the low price period, the high price and the low price are determined according to the time-of-use electricity price policy in each place (in the existing proxy electricity purchase system, there are normal price, peak price and valley time price, which can be corresponding to the low valley price (valley time price) and peak price in the application; wherein the high price can be the peak price, and the low price can be the low valley price.), i represents the expected yield of the project, LCOE res represents the flat response cost model.

[0088] The implicit cost includes the sacrifice cost of air conditioner thermal comfort and the SOC loss cost, including:

[0089]

[0090] Wherein, represents the incentive cost of sacrificing air conditioner comfort, represents the incentive cost of electric vehicle loss.

[0091] Step S12, determining the eigenvalue of the implicit cost of the user.

[0092] Based on the law of diminishing marginal utility, the user incentive cost and the response behavior present a concave function relationship, therefore a quadratic function is used to represent the incentive cost of sacrificing air conditioner comfort.

[0093] p inc (PMV)=a1PMV 2 +σ1

[0094] wherein a1 represents a user's incentive cost sensitivity coefficient to the sacrifice of comfort, σ1 represents a constant term, p inc (PMV) represents an air conditioner user's incentive cost, and PMV represents thermal comfort.

[0095] The thermal comfort equation is shown as follows:

[0096]

[0097] wherein M represents a human body's metabolic rate, p a represents a water vapor component, W is a human body's generated mechanical work; t a represents air temperature, f c1 represents a clothing coefficient, represents an average radiation temperature, t c1 represents a body surface temperature.

[0098] Similarly, the incentive cost of the electric vehicle loss is:

[0099] p inc (U)=a2U(△SOC) 2 +σ2

[0100] wherein the user's satisfaction and SOC loss satisfy:

[0101]

[0102] In the above, a2 represents a user's incentive cost sensitivity coefficient to the sacrifice of SOC, σ2 represents a constant term, p inc (U) represents an electric vehicle user's incentive cost, and U represents an electric vehicle user's dissatisfaction, U max represents an electric vehicle user's maximum dissatisfaction, β represents a user's dissatisfaction sensitivity coefficient to the sacrifice of SOC, and ΔSOC represents an electric vehicle state of charge loss, ΔSOC max represents an electric vehicle maximum state of charge loss.

[0103] The K-means clustering model is used to cluster different air conditioner and electric vehicle users, a data set D is established according to the air conditioner comfort and user satisfaction model, the data in D is distributed into k clusters, so that

[0104] wherein, to is to is

[0105] The division core of the K-Means algorithm is to use the centroid of a cluster to represent the cluster, the difference between an object point in the cluster and the centroid of the cluster is measured by dist(p,C i ), and the optimal number of clusters is constantly searched by iterative relocation, specifically including:

[0106]

[0107] Where dist(p,C i ) 2 is the Euclidean distance between two points, E is the sum of squares of errors of all objects in the data set, p is a point in space, representing a given data object, c i is the centroid of the cluster.

[0108] The K-Means algorithm process includes data input, algorithm operation, and data output, and the data input includes the number of clusters (K), the data set (D) containing n objects, and the output of the k cluster set, and the process includes:

[0109] Select k objects from the data set D as the initial cluster centers; according to the mean of the objects in the cluster, each object is assigned to the most similar cluster; update the mean of the cluster, that is, recalculate the mean of the objects in each cluster; loop steps (2) to (3) until formula (3-1) converges.

[0110] The characteristic values of the implicit cost under the peak condition, the characteristic values of the implicit cost under the sharp peak condition, and the characteristic values of the implicit cost under the demand response condition are determined by the K-Means algorithm, which are brought into the above formula A n .

[0111] Step S13, based on the flattening response cost model, a flattening peak electricity price response cost model, a flattening sharp peak electricity price response cost model, and a flattening demand response subsidy cost model are constructed, and a multi-level flattening cost model is obtained.

[0112] Users expect to obtain certain benefits based on response costs, so the flattening response costs can be applied to multi-level incentive mechanisms of peak electricity price, sharp peak electricity price, and demand response.

[0113] The flattening peak electricity price includes incremental cost and transferred power, wherein under the peak-valley electricity price, the charging and discharging resources need to invest in intelligent orderly charging piles and V2G devices to perform intelligent orderly charging and bidirectional charging and discharging, therefore, the incremental cost C res should include the construction, operation, and depreciation costs of intelligent orderly charging piles and V2G devices. For users, the power E res transferred from the high electricity price period to the low electricity price period is related to the peak-valley period and the demand response frequency.

[0114] Considering the factors of equipment use cycle, response frequency, response duration and equipment cost, the flat peak electricity price response cost model includes:

[0115]

[0116] Wherein, C1 represents the flat response cost under peak-valley electricity price, X1 represents the frequency of participating in peak-valley electricity price response per year, N1 represents the average response duration each time, δ1 represents the acceptable regulation power under peak-valley electricity price, θ1 represents the proportion of movable load in high peak period, P peak represents the average load of user in high peak period, C res is the incremental cost, E res represents the electricity transferred from the first preset electricity price period to the second preset electricity price period.

[0117] Wherein,

[0118] C peak =C1(1+r1)

[0119] Wherein, r1 represents the expected profit rate of user under peak-valley electricity price, C peak represents the flat peak electricity price.

[0120] The flat peak electricity price response cost model includes:

[0121]

[0122] Wherein, C2 represents the flat response cost under peak-valley electricity price, X2 represents the frequency of participating in peak-valley electricity price response per year, N2 represents the average response duration each time, δ2 represents the acceptable regulation power under peak-valley electricity price, θ2 represents the proportion of movable load in high peak period, P cri represents the average load of user in high peak period;

[0123] Wherein,

[0124] C cri =C2(1+r2)

[0125] Wherein, C cri is the flat peak electricity price, r2 is the expected profit rate of user under peak-valley electricity price.

[0126] The flat demand response subsidy cost model includes:

[0127]

[0128] C3= C3(1 + r3) (1) where C3 represents the flattened marginal response cost under demand response, X3 represents the frequency of participation in demand response per year of air conditioning users and charging and discharging resource users, N3 represents the average duration of participation in demand response each time, δ3 represents the proportion of the user's acceptable adjustment power under demand response, P de represents the average load of the user in the demand response period;

[0129] wherein,

[0130] C de = C3(1 + r3)

[0131] wherein, C de is the flattened demand response subsidy, and r3 is the expected profit rate of the user under demand response.

[0132] The above three models constitute a multi-level flattened cost model.

[0133] In step S14, a consumer psychology model under a multi-incentive mechanism is constructed based on the multi-level flattened cost model, wherein the consumer psychology model under the multi-incentive mechanism is used to determine the demand side resource responsiveness under different incentive levels.

[0134] Based on the flattened peak electricity price, the flattened peak electricity price and the flattened demand response subsidy, a consumer psychology model under a multi-incentive mechanism is constructed by curve fitting, which is used to represent the relationship between the user load responsiveness and the electricity price level.

[0135] The consumer psychology model under the multi-incentive mechanism can approximately represent the relationship between the load responsiveness and the incentive level as a piecewise linear function.

[0136] For the air conditioning load and the charging and discharging resource, the consumer psychology model (as shown in Figure 2 ) satisfies:

[0137]

[0138] wherein Δp i represents the electricity price difference, Δp i includes Δp1, Δp2 and Δp3, wherein Δp1 is the difference between the discharging peak-valley electricity price and the preset low-valley electricity price C valley , Δp2 is the difference between the peak electricity price and the preset low-valley electricity price C valley , and Δp3 is the difference between the demand response subsidy and the preset low-valley electricity price C valley , λ1, λ2 and λ3 in Figure 2 respectively represent the corresponding load transfer rate, b is the minimum just noticeable difference of the user, p s is the electricity price saturation threshold, λ s represents the upper limit of the user load transfer rate, and K is the slope of the linear region of the piecewise linear function, λ cThe load transfer rate of the air conditioner and the smart charging user.

[0139] Wherein:

[0140]

[0141] Δp1=C peak -C valley

[0142] Δp2=C cri -C valley

[0143] Δp3=C de -C valley

[0144] Wherein, E a represents the electricity consumption in the first preset electricity price period before the peak-valley electricity price, the peak electricity price and the demand response, E b represents the electricity consumption in the first preset electricity price period after the peak-valley electricity price, the peak electricity price and the demand response.

[0145] For the load response degree of the V2G user, the load response degree based on consumer psychology can be approximately fitted as a piecewise linear function, still as shown in Figure 2 , including:

[0146]

[0147] Wherein, λ d is the load transfer rate of the V2G and other charging and discharging resources.

[0148] The income obtained by discharging is regarded as the opportunity cost of the user, that is, the income obtained by selecting discharging instead of charging, and for the V2G and other charging and discharging resources, the load transfer rate λ d , including:

[0149]

[0150] E c represents the charging amount in the first preset electricity price period before the peak-valley electricity price, the peak electricity price and the demand response of discharging, E d represents the discharging amount in the first preset electricity price period after the peak-valley electricity price, the peak electricity price and the demand response.

[0151] Comprehensive multiple models above, the consumer psychology model of multiple incentive mechanisms can be obtained, including:

[0152]

[0153] Δp case (λ)=Δp ac (λ ac rac )+ Δp sc (λ sc r sc )+ Δp v2g (λ v2g r v2g )

[0154] wherein λ ac is the adjustment depth of the air conditioning user, λ sc is the adjustment depth of the smart and orderly charging user, λ v2g is the adjustment depth of the V2G user, r ac is the resource proportion of the air conditioning user, r sc is the resource proportion of the smart and orderly charging user, r v2g is the resource proportion of the V2G user, Δp ac is the relationship between the response behavior and the incentive cost of the air conditioning user, Δp sc is the relationship between the response behavior and the incentive cost of the smart and orderly charging user, Δp v2g is the relationship between the response behavior and the incentive cost of the V2G user, Δp case represents the relationship between the response behavior and the incentive cost of the user in the scenario, and λ is the load transfer rate of the air conditioning, smart and orderly charging, and V2G user.

[0155] The results of the multi-level flat response cost are substituted into the above consumer psychology model, and the least square method is used to obtain the parameters of the consumer psychology model to fit the user consumption stickiness.

[0156] In summary, the application provides a multi-incentive mechanism under a multi-level cost modeling method of flatness, which comprises the following steps: constructing a flatness response cost model according to the implicit cost, direct cost and transferred power of the user, wherein the implicit cost comprises the air conditioner thermal comfort sacrifice cost and the SOC loss cost; determining the eigenvalue of the implicit cost of the user; constructing a flatness peak electricity price response cost model, a flatness peak electricity price response cost model and a flatness demand response subsidy cost model based on the flatness response cost model, and obtaining a multi-level flatness cost model; and constructing a consumer psychology model under a multi-incentive mechanism based on the multi-level flatness cost model, wherein the consumer psychology model under the multi-incentive mechanism is used to determine the demand side resource response degree under different incentive levels. The application quantifies the implicit cost required by the user to sacrifice the air conditioner comfort and the SOC loss, analyzes and obtains the multi-level flatness response cost under the peak, peak and demand response subsidy incentives, and on this basis, establishes a consumer psychology model of air conditioner load and charging and discharging resources considering the multi-incentive mechanism based on the consumer psychology model. The consumer psychology model can more accurately evaluate the influence of the incentive mechanism on the electricity cost, and considers the price fluctuation of different time periods and the effect of the incentive measures. In addition, the consumer psychology model not only considers the influence of the equipment incremental cost on the user response potential, but also reflects the marginal cost increasing effect under the multi-level incentive mechanism, thereby providing a reliable quantitative basis for the grid to accurately evaluate the incentive cost required by the user.

[0157] Based on the same inventive concept, the application provides a multi-incentive mechanism under a multi-level cost modeling device of flatness, which comprises:

[0158] An initial model construction module is configured to construct a flatness response cost model according to the implicit cost, direct cost and transferred power of the user, wherein the implicit cost comprises the air conditioner thermal comfort sacrifice cost and the SOC loss cost;

[0159] An eigenvalue determination module is configured to determine the eigenvalue of the implicit cost of the user;

[0160] A multi-level model construction module is configured to construct a flatness peak electricity price response cost model, a flatness peak electricity price response cost model and a flatness demand response subsidy cost model based on the flatness response cost model, and obtain a multi-level flatness cost model;

[0161] An evaluation module is configured to construct a consumer psychology model under a multi-incentive mechanism based on the multi-level flatness cost model, wherein the consumer psychology model under the multi-incentive mechanism is used to evaluate the demand side resource response degree under different incentive levels.

[0162] Based on the same inventive concept, the application further provides an electronic device, which comprises:

[0163] A processor;

[0164] a memory for storing processor-executable instructions;

[0165] The processor is configured to implement the multi-level flattening cost modeling method under a multi-incentive mechanism as provided in the foregoing.

[0166] Based on the same inventive concept, the present application further provides a non-transitory computer-readable storage medium, when instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to implement the multi-level flattening cost modeling method under a multi-incentive mechanism as provided in the foregoing.

[0167] Since the electronic device introduced in the embodiment is the electronic device used to implement the information processing method in the embodiment of the present application, the specific implementation of the electronic device and its various forms can be understood by those skilled in the art based on the information processing method introduced in the embodiment of the present application, and therefore, how the electronic device implements the method in the embodiment of the present application will not be introduced in detail here. As long as the electronic device used to implement the information processing method in the embodiment of the present application is implemented by those skilled in the art, it belongs to the scope of the present application.

[0168] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0169] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The device that implements the functions specified in one flow or multiple flows and / or blocks Figure 1 The device that implements the functions specified in one flow or multiple flows and / or blocks

[0170] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the Figure 1 function specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0171] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the Figure 1 function specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0172] While the preferred embodiments of the application have been described, additional variations and modifications can be made to the embodiments by those skilled in the art once they learn of the basic inventive concepts. Therefore, the appended claims are intended to cover all such additional variations and modifications as fall within the scope of the present application. What is claimed is:

[0173] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A multi-stage flattening cost modeling method under a multi- incentive mechanism, characterized in that, The method comprises: According to the implicit cost, direct cost and transferred power of the user, a flat response cost model is constructed, wherein the implicit cost comprises air conditioner thermal comfort sacrifice cost and SOC loss cost, and the flat response cost model comprises: wherein, represents the initial incremental construction investment of the project, represents the economic evaluation life of the project, represents the residual value of the fixed assets, represents the implicit cost of the project in the year, represents the total annual operating cost of the project in the year, represents the total annual replacement cost of the project in the n year, represents the interest in the year, represents the electricity transferred from the first preset electricity price period to the second preset electricity price period by the air conditioning users and the charging and discharging resources in the operation period of the project in the year under the given peak electricity price, peak electricity price and demand response electricity price, represents the expected rate of return of the project, represents the flat standardization response cost model; wherein wherein, represents the incentive cost of sacrificing air conditioning comfort, represents the incentive cost of electric vehicle losses; Determine the eigenvalue of the implicit cost of the user; Based on the flat response cost model, a flat peak price response cost model, a flat sharp peak price response cost model and a flat demand response subsidy cost model are constructed, and a multi-level flat cost model is obtained; Based on the multi-level flat cost model, a consumer psychology model under a multi-incentive mechanism is constructed, wherein the consumer psychology model under the multi-incentive mechanism is used to determine the demand side resource response degree under different incentive levels.

2. The multi-level flattening cost modeling method under a multi- incentive mechanism according to claim 1, characterized in that, Determine the eigenvalue of the implicit cost of the user, comprising: Determining the incentive cost for an air conditioning user, comprising: wherein, represents a user's sensitivity coefficient to the incentive cost brought by sacrificing comfort, represents a constant term, represents an incentive cost of an air conditioning user, represents thermal comfort; wherein , comprising: wherein, represents the metabolic rate of the human body, represents the water vapor fraction, is the mechanical work produced by the human body; represents the air temperature, represents the clothing coefficient, represents the mean radiant temperature, represents the body surface temperature; Determine the incentive cost of the electric vehicle user, comprising: wherein, represents a user's incentive cost sensitivity coefficient to sacrificing SOC, represents a constant term, represents an electric vehicle user's incentive cost, represents an electric vehicle user's dissatisfaction, represents an electric vehicle user's maximum dissatisfaction, represents a user's dissatisfaction sensitivity coefficient to sacrificing SOC, represents an electric vehicle state of charge loss, represents an electric vehicle maximum state of charge loss; Clustering is performed based on a K-means clustering model, such that ; wherein, to summed to , to summed to ; Determine the eigenvalue of the implicit cost under the peak condition, the eigenvalue of the implicit cost under the sharp peak condition and the eigenvalue of the implicit cost under the demand response condition through the K-Means algorithm.

3. The multi-level flattening cost modeling method under a multi- stimulus mechanism of claim 1, wherein, Constructing a flat peak price response cost model, comprising: wherein, represents the cost of the response to the flat rate under the peak-valley electricity price, represents the frequency of participation in the response to the peak-valley electricity price per year, represents the average duration of each response, represents the adjustable power of the user under the peak-valley electricity price, represents the proportion of the movable load in the peak period, represents the average load of the user in the peak period, represents the incremental cost, represents the electric quantity transferred from the first preset electricity price period to the second preset electricity price period. Wherein, where, represents the desired profit margin of the user under peak-valley electricity pricing, represents the flat, peak electricity pricing.

4. The multi-level flattening cost modeling method under a multi- incentive mechanism according to claim 3, characterized in that, Constructing a flat sharp peak price response cost model, comprising: wherein, represents the cost of the flattening response under the peak tariff, represents the frequency of participation in the peak tariff response per year of the air conditioning user and the charging and discharging resource user, represents the average duration of participation in the peak tariff response each time, represents the adjustable power of the user under the peak tariff, represents the proportion of the movable load in the peak period, represents the average value of the load of the user in the peak period; Wherein, in, To level the peak electricity price, The expected profit margin of users under peak electricity prices.

5. The multi-incentive based multi-stage flattening cost modeling method of claim 4, wherein, Constructing a flat demand response subsidy cost model, comprising: wherein, denotes the normalized marginal response cost under demand response, denotes the frequency of participation in demand response per year for air conditioning users and charging and discharging resource users, denotes the average duration of participation in demand response each time, denotes the proportion of the user's acceptable regulation power under demand response, denotes the average load of the user in the demand response period; wherein wherein, is the levelized demand response subsidy, is the desired rate of return for the user under demand response.

6. The multi-stage flattening cost modeling method under a multi- incentive mechanism as claimed in claim 5, wherein, Based on the multi-level flat cost model, a consumer psychology model under a multi-incentive mechanism is constructed, comprising: For air conditioner load, charging and discharging resources, the consumer psychology model satisfies: in, represents the electricity price difference, include , and ,in, The peak and valley electricity prices for discharge and the preset valley electricity prices The difference, Peak electricity price and preset off-peak electricity price The difference, Subsidies for demand response and preset off-peak electricity prices The difference, is the user's just noticeable difference, is the electricity price saturation threshold, Indicates the upper limit of user load transfer rate, is the slope of the linear region of the piecewise linear function, Load transfer rate for air conditioners and smart orderly charging users; For load responsiveness and incentive cost, consumer psychology model, meet: in, Indicates the electricity consumption during the first preset electricity price period before implementing peak-valley electricity prices, peak electricity prices, and demand response. Indicates the electricity consumption during the first preset electricity price period after implementing peak-valley electricity prices, peak electricity prices, and demand response; Also includes: wherein, is the load transfer rate of the charging and discharging resource such as V2G. represents the charging amount of the first preset electricity price period before the discharge peak-valley electricity price, peak electricity price, and demand response are performed, represents the discharging amount of the first preset electricity price period after the discharge peak-valley electricity price, peak electricity price, and demand response are performed; Available: wherein, a regulation depth for an air conditioning user, a regulation depth for a smart and orderly charging user, a regulation depth for a V2G user, a resource proportion for an air conditioning user, a resource proportion for a smart and orderly charging user, a resource proportion for a V2G user, a relationship between a response behavior and an incentive cost for an air conditioning user, a relationship between a response behavior and an incentive cost for a smart and orderly charging user, a relationship between a response behavior and an incentive cost for a V2G user, a relationship between a response behavior and an incentive cost for a user in a scenario, a load transfer rate for an air conditioning, a smart and orderly charging, and a V2G user.

7. A device for modeling the cost of multi-level flattening under multiple excitation mechanisms, characterized by, A multi-incentive mechanism multi-level flat cost modeling method according to any one of claims 1-6, the device comprises: An initial model construction module is configured to construct a flat response cost model according to the implicit cost, direct cost and transferred power of the user, wherein the implicit cost comprises air conditioner thermal comfort sacrifice cost and SOC loss cost; An eigenvalue determination module is configured to determine the eigenvalue of the implicit cost of the user; A multi-level model construction module is configured to construct a flat peak price response cost model, a flat sharp peak price response cost model and a flat demand response subsidy cost model based on the flat response cost model, and obtain a multi-level flat cost model; An evaluation module is configured to construct a consumer psychology model under a multi-incentive mechanism based on the multi-level flat cost model, wherein the consumer psychology model under the multi-incentive mechanism is used to evaluate the demand side resource response degree under different incentive levels.

8. An electronic device, comprising: Comprise: A processor; A memory for storing instructions executable by the processor; The processor is configured to execute to realize a multi-incentive mechanism multi-level flat cost modeling method according to any one of claims 1-6.

9. A non-transitory computer-readable storage medium, comprising: When the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can execute a multi-incentive mechanism multi-level flat cost modeling method according to any one of claims 1-6.

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