Multi-level leveling cost modeling method, device and equipment under multi-incentive mechanism and medium

Abstract

The invention discloses a multi-level leveling cost modeling method, device, equipment and medium under a multi-incentive mechanism, and the method comprises the steps: building a leveling response cost model according to the recessive cost, direct cost and transferred electric quantity of a user, and the recessive cost comprises the air conditioner thermal comfort sacrifice cost and the SOC loss cost; determining a characteristic value of the implicit cost of the user; based on the leveling response cost model, constructing a leveling peak electricity price response cost model, a leveling peak electricity price response cost model and a leveling demand response subsidy cost model, and obtaining a multi-level leveling cost model; a consumer psychology model under the multi-incentive mechanism is constructed based on the multi-level leveling cost model, and the consumer psychology model under the multi-incentive mechanism is used for determining the demand side resource responsivity under different incentive levels. The invention belongs to the field of energy assessment. According to the invention, demand side resource potential quantitative evaluation under different excitation levels can be realized.

Description

Technical Field

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

[0002] 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 end. Air conditioning load and electric vehicles are key resources on the demand side. By optimizing air conditioning control and orderly charging and discharging of electric vehicles, peak loads can be effectively reduced, the pressure on the power grid caused by disordered charging can be alleviated, and peak-valley loads can be balanced.

[0003] However, on the one hand, existing studies focus on the objective evaluation of changes in user psychological needs when analyzing the potential for user-side demand response, but pay less attention to the impact of incremental hardware and equipment costs on user response potential. At the same time, such studies usually lack indicators for quantitative comparison of different resource flexibilities, which limits the comprehensive evaluation of user response potential. On the other hand, such studies focus on single incentive mechanisms such as time-of-use electricity prices or demand response, while ignoring the incremental marginal cost effect that may be caused by multi-level incentive mechanisms, thereby reducing the accuracy of the evaluation results and affecting the scientific formulation and effective implementation of demand-side resource management strategies. Therefore, a more reasonable method for evaluating the incentive costs required by users is urgently needed. Summary of the invention

[0004] The present invention solves the technical problem of unreasonable incentive costs required for evaluating users in the prior art by providing a multi-level levelized cost modeling method, device, equipment and medium under a multi-incentive mechanism, and achieves the technical effect of being able to more reasonably evaluate the incentive costs required for users.

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

[0006] A levelized response cost model is constructed based on the user's implicit costs, direct costs, and transferred electricity. The implicit costs include the air conditioning thermal comfort sacrifice cost and the SOC loss cost.

[0007] Determine the characteristic value of the user's hidden cost;

[0008] Based on the levelized response cost model, the levelized peak electricity price response cost model, the levelized spike electricity price response cost model and the levelized demand response subsidy cost model are constructed, and a multi-level levelized cost model is obtained;

[0009] A consumer psychology model under multiple incentive mechanisms is constructed based on a multi-level levelized cost model, wherein the consumer psychology model under multiple incentive mechanisms is used to determine the demand-side resource responsiveness under different incentive levels.

[0010] Furthermore, the levelized response cost model includes:

[0011]

[0012] Among them, 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 project in year n, C n represents the total annual operating cost of the project in year n, D n represents the total annual replacement cost of the project in year n, P n represents the interest in the nth year, E n It represents the amount of electricity transferred from the first preset electricity price period to the second preset electricity price period by air-conditioning users and charging and discharging resources under given peak electricity price, peak electricity price and demand response electricity price during the operation period of the project in the nth year. i represents the expected rate of return of the project, LCOE res represents the levelized response cost model;

[0013] in,

[0014]

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

[0016] Furthermore, the characteristic values ​​of the user's hidden costs are determined, including:

[0017] Determine the incentive costs for air conditioner users, including:

[0018] p inc (PMV) = a1PMV 2 +σ1

[0019] Among them, a1 represents the user's sensitivity coefficient to the incentive cost brought by sacrificing comfort, σ1 represents the constant term, and p inc (PMV) represents the incentive cost of air-conditioning users, and PMV represents thermal comfort;

[0020] Among them, PMV includes:

[0021]

[0022] Among them, 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 dissatisfaction sensitivity coefficient caused by the user sacrificing SOC, ΔSOC represents the charge state loss of electric vehicles, and ΔSOC max Indicates the maximum state of charge loss of an electric vehicle;

[0027] Clustering is performed based on the K-means clustering model. 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 the peak-valley electricity price, X1 represents the frequency of the charging and discharging resource users participating in the peak-valley electricity price response each year, N1 represents the average response time, δ1 represents the acceptable adjustment power of users under the peak-valley electricity price, θ1 represents the proportion of movable loads during the peak period, P peak represents the average load of users during peak hours, C res represents the incremental cost, E resIndicates the amount of electricity transferred from the first preset electricity price period to the second preset electricity price period;

[0032] in,

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

[0034] Among them, r1 represents the user's expected profit rate under peak and valley electricity prices, C peak Represents the levelized peak electricity price.

[0035] Furthermore, a levelized peak electricity price response cost model is constructed, including:

[0036]

[0037] Among them, C2 represents the levelized response cost under peak electricity price, X2 represents the frequency of air-conditioning users and charging and discharging resource users participating in the peak electricity price response each year, N2 represents the average duration of each participation in the peak electricity price response, δ2 represents the acceptable adjustment power of users under peak electricity price, θ2 represents the proportion of movable loads during peak period, P cri Indicates the average load of users during peak hours;

[0038] in,

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

[0040] Among them, C cri is the leveled peak electricity price, r2 is the user's expected profit margin under the peak electricity price.

[0041] Furthermore, a levelized demand response subsidy cost model is constructed, including:

[0042]

[0043] Among them, C3 represents the levelized marginal response cost under demand response, X3 represents the frequency of air-conditioning users and charging and discharging resource users participating in demand response each year, N3 represents the average duration of each participation in demand response, δ3 represents the proportion of power adjustment that users can accept under demand response, P de It represents the average load of the user during the demand response period;

[0044] in,

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

[0046] Among them, C de is the levelized demand response subsidy, and r3 is the user’s expected profit margin under demand response.

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

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

[0049]

[0050] Among them, Δp i Represents the price difference, Δp i It includes Δp1, Δp2 and Δp3, where Δp1 is the peak-valley electricity price of discharge and the preset valley electricity price C valley Δp2 is the difference between the peak electricity price and the preset valley electricity price C valley Δp3 is the difference between the demand response subsidy and the preset valley electricity price C valley The difference is the user's minimum perceptible difference, p s is the electricity price saturation threshold, λ s represents the upper limit of user load transfer rate, K is the slope of the linear region of the piecewise linear function, λ c Load transfer rate for air conditioners and smart orderly charging users;

[0051] Regarding load responsiveness and incentive costs, the consumer psychology model satisfies:

[0052] Among them, E a Indicates the electricity consumption during the first preset electricity price period before implementing the peak-valley electricity price, peak electricity price, and demand response, E b Indicates the electricity consumption in the first preset electricity price period after implementing the peak-valley electricity price, peak electricity price, and demand response;

[0053] Regarding load responsiveness and incentive costs, the consumer psychology model satisfies:

[0054]

[0055] Among them, λ d It is the load transfer rate of charging and discharging resources such as V2G;

[0056]

[0057] E c Indicates the charging amount during the first preset electricity price period before the discharge peak and valley electricity price, peak electricity price, and demand response, E d Indicates the discharge amount in the first preset electricity price period after the discharge peak-valley electricity price, peak electricity price, and demand response are implemented;

[0058] We can get:

[0059]

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

[0061] Among them, λ ac is the adjustment depth of the air conditioner user, λ sc The regulation depth for intelligent and orderly charging users, λ v2g is the adjustment depth of V2G users, r ac is the resource proportion of air-conditioning users, r sc The resource proportion of smart and orderly charging users, r v2g is the resource proportion of V2G users, Δp ac is the relationship between the response behavior of air-conditioning users and the incentive cost, Δp sc is the relationship between the response behavior and incentive cost of smart orderly charging users, Δp v2g is the relationship between the response behavior and incentive cost of V2G users, Δp case It represents the relationship between user response behavior and incentive cost in the scenario, and λ is the load transfer rate of air conditioning, intelligent orderly charging and V2G users.

[0062] In a second aspect, the present invention provides a multi-level levelized cost modeling device under a multi-incentive mechanism, the device comprising:

[0063] The initial model building module is used to build a levelized response cost model based on the user's implicit cost, direct cost and transferred electricity, where the implicit cost includes the air conditioning thermal comfort sacrifice cost and SOC loss cost;

[0064] A characteristic value determination module, used to determine the characteristic value of the user's hidden cost;

[0065] A multi-level model building module is used to build a levelized peak electricity price response cost model, a levelized spike electricity price response cost model and a levelized demand response subsidy cost model based on the levelized response cost model, and obtain a multi-level levelized cost model;

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

[0067] In a third aspect, the present invention provides an electronic device, comprising:

[0068] processor;

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

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

[0071] In a fourth aspect, the present invention provides a non-temporary 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 levelized cost modeling method under a multi-incentive mechanism as provided in the first aspect.

[0072] One or more technical solutions provided in the present invention have at least the following technical effects or advantages:

[0073] The present invention provides a multi-level levelized cost modeling method under multiple incentive mechanisms, the method comprising: constructing a levelized response cost model according to the user's implicit cost, direct cost and transferred electricity, wherein the implicit cost includes the air conditioning thermal comfort sacrifice cost and the SOC loss cost; determining the characteristic value of the user's implicit cost; constructing a levelized peak electricity price response cost model, a levelized spike electricity price response cost model and a levelized demand response subsidy cost model based on the levelized response cost model, and obtaining a multi-level levelized cost model; constructing a consumer psychology model under multiple incentive mechanisms based on the multi-level levelized cost model, wherein the consumer psychology model under the multiple incentive mechanisms is used to determine the demand-side resource responsiveness under different incentive levels. The present invention quantifies the implicit cost required for users to sacrifice air conditioning comfort and SOC loss, analyzes and obtains the multi-level levelized response cost under peak, spike and demand response subsidy incentives, and on this basis, establishes a consumer psychology model of air conditioning load and charging and discharging resources taking into account multiple incentive mechanisms based on the consumer psychology model. The consumer psychology model can more accurately evaluate the impact of incentive mechanisms on the cost per kilowatt-hour, and takes into account the price fluctuations and incentives in different time periods. In addition, the consumer psychology model not only considers the impact of incremental equipment costs on user response potential, but also reflects the incremental marginal cost effect under multi-level incentive mechanisms, providing a reliable quantitative basis for the power grid to accurately evaluate the incentive costs required by users. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0075] Figure 1 A flow chart of a multi-level levelized cost modeling method under a multi-incentive mechanism provided by the present invention;

[0076] Figure 2 Schematic diagram of the piecewise linear function of air conditioners and smart orderly charging users. DETAILED DESCRIPTION

[0077] The embodiment of the present invention solves the technical problem of unreasonable incentive costs required for evaluating users in the prior art by providing a multi-level levelized cost modeling method under a multi-incentive mechanism.

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

[0079] A multi-leveled cost modeling method under a multi-incentive mechanism comprises: constructing a levelized response cost model according to the user's implicit cost, direct cost and transferred electricity, wherein the implicit cost includes the air-conditioning thermal comfort sacrifice cost and the SOC loss cost; determining the characteristic value of the user's implicit cost; constructing a levelized peak electricity price response cost model, a levelized spike electricity price response cost model and a levelized demand response subsidy cost model based on the levelized response cost model, and obtaining a multi-level levelized cost model; constructing a consumer psychology model under a multi-incentive mechanism based on the multi-level levelized 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.

[0080] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0081] First of all, the term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0082] Peak-valley electricity price refers to the difference between peak electricity price and valley electricity price. Electricity price can be divided into valley electricity price, flat electricity price, peak electricity price and spike electricity price according to load conditions. Demand response electricity price refers to the grid's air regulation strategy, and the electricity price for emergency compensation for users who execute this strategy.

[0083] The present invention provides Figure 1 A multi-level levelized cost modeling method under a multi-incentive mechanism is shown, comprising steps S11-S14:

[0084] Step S11, constructing a levelized response cost model based on the user's implicit cost, direct cost and transferred electricity, wherein the implicit cost includes the air-conditioning thermal comfort sacrifice cost and the SOC loss cost.

[0085] Levelized response cost model, including:

[0086]

[0087] Among them, 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 project in year n, C n represents the total annual operating cost of the project in year n, D n represents the total annual replacement cost of the project in year n, P n represents the interest in the nth year, E n It represents the amount of electricity transferred from the first preset electricity price period to the second preset electricity price period under the given peak electricity price, peak electricity price and demand response electricity price during the operation period of the project in the nth year, wherein the first preset electricity price period is a high electricity price period, and the second preset electricity price period is a low electricity price period, and the high electricity price and the low electricity price are determined according to the local time-of-use electricity price policy (in the existing power purchasing agent system, there are normal electricity prices, peak electricity prices, and valley electricity prices, which can correspond to the valley electricity prices (valley electricity prices) and peak electricity prices in the invention; the high electricity price can be the peak electricity price, and the low electricity price can be the valley electricity price.), i represents the expected rate of return of the project, LCOE res Represents the levelized response cost model.

[0088] Hidden costs include air conditioning thermal comfort sacrifice costs and SOC loss costs, including:

[0089]

[0090] in, represents the incentive cost of sacrificing air conditioning comfort, represents the incentive cost of electric vehicle losses.

[0091] Step S12, determining the characteristic value of the user's hidden cost.

[0092] Based on the law of diminishing marginal utility, there is a concave function relationship between user incentive cost and response behavior. Therefore, a quadratic function is used to represent the incentive cost of sacrificing air-conditioning comfort.

[0093] p inc (PMV) = a1PMV 2 +σ1

[0094] Among them, a1 represents the user's sensitivity coefficient to the incentive cost brought by sacrificing comfort, σ1 represents the constant term, and p inc (PMV) represents the incentive cost of air-conditioning users, and PMV represents thermal comfort.

[0095] The thermal comfort equation is shown below:

[0096]

[0097] Among them, M represents the metabolic rate of the human body, p a 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.

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

[0099] p inc (U) = a2U(△SOC) 2 +σ2

[0100] Among them, user satisfaction and SOC loss meet:

[0101]

[0102] In the above, 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 dissatisfaction sensitivity coefficient caused by the user sacrificing SOC, ΔSOC represents the charge state loss of electric vehicles, and ΔSOC max Represents the maximum state of charge loss of an electric vehicle;.

[0103] The K-means clustering model is used to cluster different air conditioner and electric vehicle users. A data set D is established based on the air conditioner comfort and user satisfaction model, and the data in D is assigned to k clusters so that

[0104] in, to The sum is to The sum is

[0105] The core of the K-Means algorithm is to use the centroid of a cluster to represent the cluster. The difference between the object point in the cluster and the centroid of the cluster is expressed as dist(p,C i ) is used to measure, and the optimal number of clusters is continuously sought through iterative relocation, including:

[0106]

[0107] Among them, dist(p,C i ) 2 is the Euclidean distance between two points, E is the sum of squares of all object errors 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 three parts: data input, algorithm operation, and data output. The data input includes: the number of clusters (K), a data set containing n objects (D), and the output is a set of k clusters. The process includes:

[0109] Randomly select k objects from the data set D as the centers of the initial clusters; assign each object to the most similar cluster according to the mean of the objects in the cluster; update the mean of the cluster, that is, recalculate the mean of the objects in each cluster; repeat steps (2) to (3) until equation (3-1) converges.

[0110] The K-Means algorithm is used to determine the characteristic values ​​of the hidden costs under peak conditions, the characteristic values ​​of the hidden costs under spike conditions, and the characteristic values ​​of the hidden costs under demand response conditions, and then substituted into the above formula A n .

[0111] Step S13, based on the levelized response cost model, construct a levelized peak electricity price response cost model, a levelized spike electricity price response cost model and a levelized demand response subsidy cost model, and obtain a multi-level levelized cost model.

[0112] Users expect to obtain certain benefits based on the response cost. Therefore, the levelized response cost can be applied to the multi-level incentive mechanism of peak electricity price, peak electricity price and demand response respectively.

[0113] The levelized peak electricity price includes incremental cost and transferred electricity. Under the peak and valley electricity price, if charging and discharging resources are to be intelligently and orderly charged and bidirectionally charged and discharged, it is necessary to invest in equipment such as intelligent and orderly charging piles and V2G. Therefore, the incremental cost C res It should include the construction, operation and depreciation costs of smart orderly charging piles and V2G equipment. For users, the amount of electricity E transferred from high electricity price periods to low electricity price periods res It is related to peak and valley periods and demand response frequency.

[0114] Taking into account factors such as equipment life cycle, response frequency, response time and equipment cost, the levelized peak electricity price response cost model includes:

[0115]

[0116] Among them, C1 represents the levelized response cost under the peak-valley electricity price, X1 represents the frequency of the charging and discharging resource users participating in the peak-valley electricity price response each year, N1 represents the average response time, δ1 represents the acceptable adjustment power of users under the peak-valley electricity price, θ1 represents the proportion of movable loads during the peak period, P peak represents the average load of users during peak hours, C res is the incremental cost, E res It represents the amount of electricity transferred from the first preset electricity price period to the second preset electricity price period.

[0117] in,

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

[0119] Among them, r1 represents the user's expected profit rate under peak and valley electricity prices, C peak Represents the levelized peak electricity price.

[0120] Levelized peak electricity price response cost model, including:

[0121]

[0122] Among them, C2 represents the levelized response cost under peak electricity price, X2 represents the frequency of air-conditioning users and charging and discharging resource users participating in the peak electricity price response each year, N2 represents the average duration of each participation in the peak electricity price response, δ2 represents the acceptable adjustment power of users under peak electricity price, θ2 represents the proportion of movable loads during peak period, P cri Indicates the average load of users during peak hours;

[0123] in,

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

[0125] Among them, C cri is the leveled peak electricity price, r2 is the user's expected profit margin under the peak electricity price.

[0126] Levelized demand response subsidy cost model, including:

[0127]

[0128] Among them, C3 represents the levelized marginal response cost under demand response, X3 represents the frequency of air-conditioning users and charging and discharging resource users participating in demand response each year, N3 represents the average duration of each participation in demand response, δ3 represents the proportion of power adjustment that users can accept under demand response, P de It represents the average load of the user during the demand response period;

[0129] in,

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

[0131] Among them, C de is the levelized demand response subsidy, and r3 is the user’s expected profit margin under demand response.

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

[0133] Step S14, constructing a consumer psychology model under a multi-incentive mechanism based on the multi-level levelized 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 levelized peak electricity price, levelized spike electricity price and levelized demand response subsidy, a consumer psychology model taking into account multiple incentive mechanisms is constructed through curve fitting to characterize the relationship between user load responsiveness under different electricity price levels.

[0135] The consumer psychology model of multiple incentive mechanisms can approximately characterize the relationship between load responsiveness and incentive level as a piecewise linear function.

[0136] For air conditioning load and charging and discharging resources, consumer psychology models (such as Figure 2 shown), satisfying:

[0137]

[0138] Among them, Δp i Represents the price difference, Δp i It includes Δp1, Δp2 and Δp3, where Δp1 is the peak-valley electricity price of discharge and the preset valley electricity price C valley Δp2 is the difference between the peak electricity price and the preset valley electricity price C valley Δp3 is the difference between the demand response subsidy and the preset valley electricity price C valley The difference between Figure 2 λ1, λ2 and λ3 represent the corresponding load transfer rate, b is the user's minimally noticeable difference, p s is the electricity price saturation threshold, λ s represents the upper limit of user load transfer rate, K is the slope of the linear region of the piecewise linear function, λ cLoad transfer rate for air conditioning and intelligent orderly charging users.

[0139] in:

[0140]

[0141] Δp1=C peak -C valley

[0142] Δp2=C cri -C valley

[0143] Δp3=C de -C valley

[0144] Among them, E a Indicates the electricity consumption during the first preset electricity price period before implementing the peak-valley electricity price, peak electricity price, and demand response, E b It indicates the electricity consumption in the first preset electricity price period after implementing the peak-valley electricity price, peak electricity price and demand response.

[0145] For the load responsiveness of V2G users, the load responsiveness based on consumer psychology can be approximately fitted as a piecewise linear function. Figure 2 As shown, including:

[0146]

[0147] Among them, λ d It is the load transfer rate of charging and discharging resources such as V2G.

[0148] The benefits of discharging are regarded as the user's opportunity cost, that is, the benefits obtained when discharging instead of charging. For charging and discharging resources such as V2G, the load transfer rate λ d ,include:

[0149]

[0150] E c Indicates the charging amount during the first preset electricity price period before the discharge peak and valley electricity price, peak electricity price, and demand response, E d It indicates the discharge amount in the first preset electricity price period after the discharge peak-valley electricity price, peak electricity price and demand response are implemented.

[0151] Combining the above models, we can get a consumer psychology model with multiple incentive mechanisms, including:

[0152]

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

[0154] Among them, λ ac is the adjustment depth of the air conditioner user, λ sc The regulation depth for intelligent and orderly charging users, λ v2g is the regulation depth of V2G users, r ac is the resource proportion of air-conditioning users, r sc The resource proportion of smart and orderly charging users, r v2g is the resource proportion of V2G users, Δp ac is the relationship between the response behavior of air-conditioning users and the incentive cost, Δp sc is the relationship between the response behavior and incentive cost of smart orderly charging users, Δp v2g is the relationship between the response behavior and incentive cost of V2G users, Δp case It represents the relationship between user response behavior and incentive cost in the scenario, and λ is the load transfer rate of air conditioning, intelligent orderly charging and V2G users.

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

[0156] In summary, the present invention provides a multi-level levelized cost modeling method under multiple incentive mechanisms, the method comprising: constructing a levelized response cost model according to the user's implicit cost, direct cost and transferred electricity, wherein the implicit cost includes the air conditioning thermal comfort sacrifice cost and the SOC loss cost; determining the characteristic value of the user's implicit cost; constructing a levelized peak electricity price response cost model, a levelized spike electricity price response cost model and a levelized demand response subsidy cost model based on the levelized response cost model, and obtaining a multi-level levelized cost model; constructing a consumer psychology model under multiple incentive mechanisms based on the multi-level levelized cost model, wherein the consumer psychology model under multiple incentive mechanisms is used to determine the demand-side resource responsiveness under different incentive levels. The present invention quantifies the implicit cost required for users to sacrifice air conditioning comfort and SOC loss, analyzes and obtains the multi-level levelized response cost under peak, spike and demand response subsidy incentives, and on this basis, establishes a consumer psychology model of air conditioning load and charging and discharging resources taking into account multiple incentive mechanisms based on the consumer psychology model. The consumer psychology model can more accurately evaluate the impact of incentive mechanisms on the cost per kilowatt-hour, and takes into account the price fluctuations and incentives in different time periods. In addition, the consumer psychology model not only considers the impact of incremental equipment costs on user response potential, but also reflects the incremental marginal cost effect under multi-level incentive mechanisms, providing a reliable quantitative basis for the power grid to accurately evaluate the incentive costs required by users.

[0157] Based on the same inventive concept, the present invention provides a multi-level levelized cost modeling device under a multi-incentive mechanism, the device comprising:

[0158] The initial model building module is used to build a levelized response cost model based on the user's implicit cost, direct cost and transferred electricity, where the implicit cost includes the air conditioning thermal comfort sacrifice cost and SOC loss cost;

[0159] A characteristic value determination module, used to determine the characteristic value of the user's hidden cost;

[0160] A multi-level model building module is used to build a levelized peak electricity price response cost model, a levelized spike electricity price response cost model and a levelized demand response subsidy cost model based on the levelized response cost model, and obtain a multi-level levelized cost model;

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

[0162] Based on the same inventive concept, the present invention also provides an electronic device, including:

[0163] processor;

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

[0165] The processor is configured to execute to implement a multi-level levelized cost modeling method under a multi-incentive mechanism as provided above.

[0166] Based on the same inventive concept, the present invention also provides a non-temporary 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 execute a multi-level levelized cost modeling method under a multi-incentive mechanism as provided above.

[0167] Since the electronic device introduced in this embodiment is an electronic device used to implement the information processing method in the embodiment of the present invention, based on the information processing method introduced in the embodiment of the present invention, a person skilled in the art can understand the specific implementation of the electronic device of this embodiment and its various variations, so how the electronic device implements the method in the embodiment of the present invention is not described in detail here. As long as the electronic device used by a person skilled in the art to implement the information processing method in the embodiment of the present invention, it belongs to the scope of protection of the present invention.

[0168] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may 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 invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0170] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0171] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0172] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0173] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A multi-level levelized cost modeling method under a multi-incentive mechanism, characterized in that: The method comprises: A levelized response cost model is constructed based on the user's implicit costs, direct costs, and transferred electricity, wherein the implicit costs include the air conditioning thermal comfort sacrifice cost and the SOC loss cost; determining a characteristic value of the hidden cost of the user; Based on the levelized response cost model, a levelized peak electricity price response cost model, a levelized spike electricity price response cost model and a levelized demand response subsidy cost model are constructed, and a multi-level levelized cost model is obtained; A consumer psychology model under a multi-incentive mechanism is constructed based on the multi-level levelized 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.

2. The multi-level levelized cost modeling method under a multi-incentive mechanism according to claim 1, characterized in that: Levelized response cost model, including: Among them, I res represents the initial incremental construction investment of the project, n represents the economic evaluation life of the project, V R A represents the residual value of fixed assets. n represents the implicit cost of the project in year n, C n represents the total annual operating cost of the project in year n, D n represents the total annual replacement cost of the project in year n, P n represents the interest in the nth year, E n It represents the amount of electricity transferred from the first preset electricity price period to the second preset electricity price period by air-conditioning users and charging and discharging resources under given peak electricity price, peak electricity price and demand response electricity price during the operation period of the project in the nth year. i represents the expected rate of return of the project, LCOE res represents the levelized response cost model; in, in, represents the incentive cost of sacrificing air conditioning comfort, represents the incentive cost of electric vehicle losses.

3. The multi-level levelized cost modeling method under a multi-incentive mechanism as claimed in claim 2, characterized in that: Determining a characteristic value of the user's hidden cost includes: Determine the incentive costs for air conditioner users, including: p inc (PMV)=a1PMV 2 +σ1 Among them, a1 represents the user's sensitivity coefficient to the incentive cost brought by sacrificing comfort, σ1 represents the constant term, and p inc (PMV) represents the incentive cost of air-conditioning users, and PMV represents thermal comfort; Among them, PMV includes: Among them, M represents the metabolic rate of the human body, p a 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; Determine the cost of incentives for electric vehicle users, including: p inc (U)=a2U(△SOC) 2 +σ2 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 dissatisfaction sensitivity coefficient caused by the user sacrificing SOC, ΔSOC represents the charge state loss of electric vehicles, and ΔSOC max Indicates the maximum state of charge loss of an electric vehicle; Clustering is performed based on the K-means clustering model. in, to The sum is to The sum is 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.

4. The multi-level levelized cost modeling method under a multi-incentive mechanism as claimed in claim 2, characterized in that: Construct a levelized peak electricity price response cost model, including: Among them, C1 represents the levelized response cost under the peak-valley electricity price, X1 represents the frequency of the charging and discharging resource users participating in the peak-valley electricity price response each year, N1 represents the average response time, δ1 represents the acceptable adjustment power of users under the peak-valley electricity price, θ1 represents the proportion of movable loads during the peak period, P peak represents the average load of users during peak hours, C res represents the incremental cost, E res Indicates the amount of electricity transferred from the first preset electricity price period to the second preset electricity price period; in, C peak =C1(1+r1) Among them, r1 represents the user's expected profit rate under peak and valley electricity prices, C peak Represents the levelized peak electricity price.

5. The multi-level levelized cost modeling method under a multi-incentive mechanism according to claim 4, characterized in that: Construct a levelized peak electricity price response cost model, including: Among them, C2 represents the levelized response cost under peak electricity price, X2 represents the frequency of air-conditioning users and charging and discharging resource users participating in the peak electricity price response each year, N2 represents the average duration of each participation in the peak electricity price response, δ2 represents the acceptable adjustment power of users under peak electricity price, θ2 represents the proportion of movable loads during peak period, P cri Indicates the average load of users during peak hours; in, C cri =C2(1+r2) Among them, C cri is the leveled peak electricity price, r2 is the user's expected profit margin under the peak electricity price.

6. The multi-level levelized cost modeling method under a multi-incentive mechanism according to claim 5, characterized in that: Construct a levelized demand response subsidy cost model, including: Among them, C3 represents the levelized marginal response cost under demand response, X3 represents the frequency of air-conditioning users and charging and discharging resource users participating in demand response each year, N3 represents the average duration of each participation in demand response, δ3 represents the proportion of power adjustment that users can accept under demand response, P de It represents the average load of the user during the demand response period; in, C de =C3(1+r3) Among them, C de is the levelized demand response subsidy, and r3 is the user’s expected profit margin under demand response.

7. The multi-level levelized cost modeling method under a multi-incentive mechanism according to claim 6, characterized in that: Based on the multi-level levelized cost model, a consumer psychology model under a multi-incentive mechanism is constructed, including: For air conditioning load, charging and discharging resources, consumer psychology model meets: Among them, Δp i Represents the price difference, Δp i It includes Δp1, Δp2 and Δp3, where Δp1 is the peak-valley electricity price of discharge and the preset valley electricity price C valley Δp2 is the difference between the peak electricity price and the preset valley electricity price C valley Δp3 is the difference between the demand response subsidy and the preset valley electricity price C valley The difference between the two, b is the user's minimum perceptible difference, p s is the electricity price saturation threshold, λ s represents the upper limit of user load transfer rate, K is the slope of the linear region of the piecewise linear function, λ c Load transfer rate for air conditioners and smart orderly charging users; Regarding load responsiveness and incentive costs, the consumer psychology model satisfies: Among them, E a represents the power consumption in the first preset power price period before implementing the peak-valley power price, peak power price and demand response, E b Indicates the electricity consumption in the first preset electricity price period after implementing the peak-valley electricity price, peak electricity price, and demand response; Also includes: Among them, λ d is the load transfer rate of charging and discharging resources such as V2G; E c Indicates the charging amount during the first preset electricity price period before the discharge peak and valley electricity price, peak electricity price, and demand response, E d Indicates the discharge amount in the first preset electricity price period after the discharge peak-valley electricity price, peak electricity price, and demand response are implemented; We can get: Δp case (λ)=Δp ac (l ac r ac )+Δp sc (l sc r sc )+Δp v2g (l veg r v2g ) Among them, λ ac is the adjustment depth of the air conditioner user, λ sc The regulation depth for intelligent and orderly charging users, λ v2g is the adjustment depth of V2G users, r ac is the resource proportion of air-conditioning users, r sc The resource proportion of smart and orderly charging users, r v2g is the resource proportion of V2G users, Δp ac is the relationship between the response behavior of air-conditioning users and the incentive cost, Δp sc is the relationship between the response behavior and incentive cost of smart orderly charging users, Δp v2g is the relationship between the response behavior and incentive cost of V2G users, Δp case It represents the relationship between user response behavior and incentive cost in the scenario, and λ is the load transfer rate of air conditioning, intelligent orderly charging and V2G users.

8. A multi-level levelized cost modeling device under a multi-incentive mechanism, characterized in that: The device comprises: An initial model building module is used to build a levelized response cost model based on the user's implicit cost, direct cost and transferred electricity, wherein the implicit cost includes the air conditioning thermal comfort sacrifice cost and the SOC loss cost; A characteristic value determination module, used to determine the characteristic value of the hidden cost of the user; A multi-level model building module, used to build a levelized peak electricity price response cost model, a levelized peak electricity price response cost model and a levelized demand response subsidy cost model based on the levelized response cost model, and obtain a multi-level levelized cost model; An evaluation module is used to construct a consumer psychology model under a multi-incentive mechanism based on the multi-level levelized cost model, wherein the consumer psychology model under the multi-incentive mechanism is used to evaluate the demand-side resource responsiveness under different incentive levels.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute to implement a multi-level levelized cost modeling method under a multi-incentive mechanism as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that: 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 levelized cost modeling method under a multi-incentive mechanism as described in any one of claims 1 to 7.

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