Power grid dispatching demand response method and device, electronic equipment and storage medium

Abstract

The invention discloses a power grid dispatching demand response method and apparatus, an electronic device and a storage medium. The method comprises the steps of constructing a corresponding user power consumption satisfaction model according to power consumption changes before and after a user participates in a power grid dispatching demand response; constructing a corresponding user power utilization habit satisfaction model according to the matching value of the load curve after the user participates in the power grid dispatching demand response and the user load baseline; constructing a schedulable capacity function and a scheduling peak constraint of the user, and constructing a power consumption satisfaction constraint and a power consumption habit satisfaction constraint of the user; and according to the schedulable capacity function, the scheduling peak constraint, the power consumption satisfaction constraint and the power consumption habit satisfaction constraint of the user, generating a corresponding power grid scheduling demand response strategy, so that the user responds to the power grid scheduling demand according to the power grid scheduling demand response strategy. According to the invention, the influence of the demand response on the user can be reduced, and the power utilization satisfaction of the user is improved.

Description

Technical Field

[0001] The present invention relates to the field of power control technology, and in particular to a power grid dispatching demand response method, device, electronic equipment and storage medium. Background Art

[0002] As the proportion of community user load electricity consumption increases, more and more research and practical projects in recent years have regarded demand-side flexible resources as an important resource for grid peak regulation. How to mobilize demand-side flexible resources to participate in response according to grid demand is the key to building a new power system.

[0003] Demand response is an important part of power demand side management. It usually refers to the response of power users to grid dispatch signals. It mobilizes users' enthusiasm through different incentives and guides them to actively adjust their electricity consumption behavior to achieve controllable load reduction within a specific period of time. With the introduction of information and automation technology, traditional demand response is developing in the direction of automatic demand response. However, the current demand response method does not take into account the user's willingness to participate in the demand response, and the response strategy formulated does not take into account the impact on user usage habits and electricity consumption, which makes the demand response have a greater impact on users and reduces users' electricity satisfaction. Summary of the invention

[0004] The present invention provides a power grid dispatching demand response method, device, electronic device and storage medium to solve the technical problems that the current demand response method does not take into account the user's willingness to participate in the demand response, and the formulated response strategy does not take into account the impact on the user's usage habits and electricity consumption, resulting in a greater impact of demand response on the user.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a power grid dispatching demand response method, including:

[0006] Obtain the user's electricity consumption before and after participating in the grid dispatch demand response, and then build a corresponding user electricity consumption satisfaction model based on the user's electricity consumption changes before and after participating in the grid dispatch demand response;

[0007] Obtain the load curve of the user before participating in the grid dispatch demand response and the load curve after participating in the grid dispatch demand response, obtain the load usage of the user at the same time point on different dates within a preset time period according to the load curve before participating in the grid dispatch demand response, calculate the corresponding user load baseline according to the load usage, and then construct the corresponding user electricity consumption habit satisfaction model according to the matching value of the load curve after participating in the grid dispatch demand response and the user load baseline;

[0008] According to the load curve of the user before participating in the grid dispatch demand response and the load curve after participating in the grid dispatch demand response, construct the user's dispatchable capacity function and dispatch peak constraint, and construct the user's electricity consumption satisfaction constraint according to the user's electricity consumption satisfaction model, and construct the user's electricity consumption habit satisfaction constraint according to the user's electricity consumption habit satisfaction model;

[0009] According to the user's dispatchable capacity function, dispatch peak constraint, power consumption satisfaction constraint and power consumption habit satisfaction constraint, a corresponding power grid dispatch demand response strategy is generated so that the user can respond to the power grid dispatch demand according to the power grid dispatch demand response strategy.

[0010] As a preferred solution, the step of constructing a user's electricity consumption satisfaction constraint according to the user's electricity consumption satisfaction model and the step of constructing a user's electricity consumption habit satisfaction constraint according to the user's electricity consumption habit satisfaction model include:

[0011] For reduction users, a power consumption habit satisfaction constraint of the reduction users is constructed according to the user power consumption habit satisfaction model, and a first power consumption satisfaction constraint of the first echelon reduction users preset among the reduction users and a second power consumption satisfaction constraint of the second echelon reduction users preset among the reduction users are constructed according to the user power consumption satisfaction model, and then the first power consumption satisfaction constraint and the second power consumption satisfaction constraint are used as the power consumption satisfaction constraints of the reduction users;

[0012] For transfer users, the electricity consumption satisfaction constraints of the transfer users are constructed according to the user electricity consumption satisfaction model, and the first electricity consumption habit satisfaction constraints of the first-tier transfer users preset among the transfer users, the second electricity consumption habit satisfaction constraints of the second-tier transfer users preset among the transfer users, and the third electricity consumption habit satisfaction constraints of the third-tier transfer users preset among the transfer users are constructed according to the user electricity consumption habit satisfaction model, and then the first electricity consumption habit satisfaction constraint, the second electricity consumption habit satisfaction constraint and the third electricity consumption habit satisfaction constraint are used as the electricity consumption habit satisfaction constraints of the reduction users.

[0013] As a preferred solution, responding to the power grid dispatching demand according to the power grid dispatching demand response strategy includes:

[0014] According to the grid dispatching demand response strategy, the corresponding users are selected in turn in the order of first-tier transfer users, second-tier transfer users, first- and third-tier transfer users, first-tier reduction users, and second-tier reduction users to respond to the grid dispatching demand until the grid dispatching demand is met.

[0015] As a preferred solution, the user electricity consumption satisfaction model is:

[0016]

[0017] Among them, θ is the impact of the change in electricity consumption before and after the user participates in the grid dispatch demand response on the user's demand response willingness, and the range of θ is between [0,1]; is the change of electricity consumption of users before and after participating in demand response; P′ is the electricity consumption of users in the period from 0 to t after participating in grid dispatch demand response; f t (P t ) is the load curve before the user participates in the grid dispatch demand response; f(P adjust ) is the load curve after the user participates in the grid dispatch demand response.

[0018] As a preferred solution, the user electricity usage habit satisfaction model is:

[0019] η=αf pearson +βf EDR ;

[0020]

[0021] Where η is the matching value between the load curve after the user participates in the grid dispatch demand response and the user load baseline; f pearson is the Pearson correlation coefficient mapped on [0,1]; f EDR is a similarity evaluation measure based on Euclidean distance; Cov(·) is a covariance function; σ(·) is a variance function; The load value of the load curve at time t after the user participates in the grid dispatch demand response; is the load value of the user's load baseline at time t; α and β are weight coefficients, both are less than 1, and α+β=1.

[0022] As a preferred solution, for curtailment users, the schedulable capacity function is:

[0023] P k =max(P t -P adjust );

[0024] The electricity usage habit satisfaction constraint is:

[0025]

[0026] The first electricity consumption satisfaction constraint of the first-tier reduction-type users is:

[0027]

[0028] The second electricity consumption satisfaction constraint of the second-tier reduction-type users is:

[0029]

[0030] The scheduling peak constraint is:

[0031]

[0032] Among them, P max is the user's peak power consumption; P m ' ax is the peak value of the curve after scheduling. As a preferred solution, for transfer users, the schedulable capacity function is:

[0033] P k =max(P t -P adjust );

[0034] The power consumption satisfaction constraint is:

[0035]

[0036] The first electricity usage habit satisfaction constraint of the first-tier transfer users is:

[0037]

[0038] The second electricity usage habit satisfaction constraint of the second-tier transfer users is:

[0039]

[0040] The third electricity usage habit satisfaction constraint of the third echelon transfer users is:

[0041]

[0042] On the basis of the above-mentioned embodiment, another embodiment of the present invention provides a power grid dispatching demand response device, including: a user power consumption satisfaction model construction module, a user power consumption habit satisfaction model construction module, a power consumption satisfaction constraint construction module and a power grid dispatching demand response module;

[0043] The user power consumption satisfaction model building module is used to obtain the power consumption of the user before participating in the power grid dispatch demand response and the power consumption after participating in the power grid dispatch demand response, and then build a corresponding user power consumption satisfaction model according to the power consumption changes before and after the user participates in the power grid dispatch demand response;

[0044] The user electricity usage habit satisfaction model building module is used to obtain the load curve of the user before participating in the grid dispatch demand response and the load curve after participating in the grid dispatch demand response, obtain the user's load usage at the same time point on different dates within a preset time period based on the load curve before the user participates in the grid dispatch demand response, and calculate the corresponding user load baseline based on the load usage, and then build the corresponding user electricity usage habit satisfaction model based on the matching value of the load curve after the user participates in the grid dispatch demand response and the user load baseline;

[0045] The electricity consumption satisfaction constraint construction module is used to construct the user's dispatchable capacity function and dispatch peak constraint according to the load curve before the user participates in the grid dispatch demand response and the load curve after the user participates in the grid dispatch demand response, and to construct the user's electricity consumption satisfaction constraint according to the user's electricity consumption satisfaction model, and to construct the user's electricity consumption habit satisfaction constraint according to the user's electricity consumption habit satisfaction model;

[0046] The power grid dispatching demand response module is used to generate a corresponding power grid dispatching demand response strategy based on the user's dispatchable capacity function, dispatching peak constraint, electricity consumption satisfaction constraint and electricity consumption habit satisfaction constraint, so that the user can respond to the power grid dispatching demand according to the power grid dispatching demand response strategy.

[0047] Based on the above embodiments, another embodiment of the present invention provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the power grid dispatching demand response method described in the above embodiments of the invention is implemented.

[0048] Based on the above embodiments, another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the power grid dispatching demand response method described in the above invention embodiment.

[0049] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0050] The present invention provides a power grid dispatching demand response method, which obtains the power consumption of a user before and after participating in the power grid dispatching demand response, and then constructs a corresponding user power consumption satisfaction model according to the power consumption change before and after the user participates in the power grid dispatching demand response; obtains the load curve of the user before and after participating in the power grid dispatching demand response, obtains the load usage of the user at the same time point on different dates within a preset time period according to the load curve before the user participates in the power grid dispatching demand response, and calculates the corresponding user load baseline according to the load usage, and then constructs a corresponding user power consumption habit satisfaction model according to the matching value of the load curve after the user participates in the power grid dispatching demand response and the user load baseline; constructs the user's dispatchable capacity function and dispatch peak constraint according to the load curve before and after participating in the power grid dispatching demand response, and constructs the user's power consumption satisfaction constraint according to the user's power consumption satisfaction model, and constructs the user's power consumption habit satisfaction constraint according to the user's power consumption habit satisfaction model; generates a corresponding power grid dispatching demand response strategy according to the user's dispatchable capacity function, dispatch peak constraint, power consumption satisfaction constraint and power consumption habit satisfaction constraint, so that the user responds to the power grid dispatching demand according to the power grid dispatching demand response strategy.

[0051] When formulating the grid dispatch demand response strategy, the present invention fully considers the user's willingness to respond to the demand, constructs a user power consumption satisfaction model and a user power consumption habit satisfaction model, and constructs corresponding constraint conditions based on the user power consumption satisfaction model and the user power consumption habit satisfaction model, so as to formulate the grid dispatch demand response strategy based on the conditions. Through the present invention, the impact of the grid dispatch demand response strategy on the user's usage habits and power consumption can be fully considered, the impact of demand response on users can be reduced, and the user's power consumption satisfaction can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a flow chart of a method for responding to power grid dispatching demand provided by an embodiment of the present invention;

[0053] Figure 2 It is a flow chart of the process of users participating in the grid dispatch demand response process;

[0054] Figure 3 It is a structural diagram of a power grid dispatching demand response device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0057] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0058] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0059] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0060] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0061] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0062] Embodiment 1

[0063] Please refer to Figure 1 , is a flow chart of a method for responding to power grid dispatching demand provided by an embodiment of the present invention, comprising the following specific steps:

[0064] S1. Obtain the user's electricity consumption before and after participating in the grid dispatch demand response, and then build a corresponding user electricity consumption satisfaction model according to the change in electricity consumption before and after the user participates in the grid dispatch demand response;

[0065] Preferably, the user electricity consumption satisfaction model is:

[0066]

[0067] Among them, θ is the impact of the change in electricity consumption before and after the user participates in the grid dispatch demand response on the user's demand response willingness, and the range of θ is between [0,1]; is the change of electricity consumption of users before and after participating in demand response; P′ is the electricity consumption of users from 0 to t after participating in grid dispatch demand response; f t (P t ) is the load curve before the user participates in the grid dispatch demand response; f(P adjust ) is the load curve after the user participates in the grid dispatch demand response.

[0068] Specifically, on the basis of inheriting the existing technical solutions, the present invention has carried out innovative exploration and practice to address the problem that the current demand response does not fully consider the user's willingness to participate in the demand response and the response strategy formulated does not take into account the impact on the user's usage habits. By using a device to establish an automatic screening model for high-value users before sending a response signal to the user, users are divided and selected in advance based on their response willingness, thereby minimizing the impact of the demand response on the user and achieving "unnoticed response".

[0069] Among them, high-value users generally have characteristics such as greater influence on the market. In the context of power system and temperature control load peak regulation, by optimizing dispatch strategies and using advanced data analysis technologies, we can identify and prioritize the user groups that contribute most to the stability and economy of the power grid, and ensure the rational allocation and efficient use of power resources. The definition of high-value users is usually related to their contribution to the stability and efficiency of the power grid.

[0070] The specific process of the power grid dispatching demand response method of the present invention is as follows:

[0071] 1. Construct the factors influencing response willingness:

[0072] 1.1 User electricity consumption satisfaction model:

[0073] The electricity consumption of users before and after participating in demand response can be used to evaluate the impact of demand response on user participation willingness. Before participating in demand response, users use electricity according to their daily consumption, and at this time, users are most willing to participate in grid regulation. After participating in the demand response project, users need to reduce or even shut down the operation of certain equipment during a certain period of time, so that the load curve changes and forms a post-dispatch curve. Therefore, the impact of demand response on user energy consumption can be expressed by the difference between the user's recent electricity load curve and the pre-dispatch curve. The constructed user electricity consumption satisfaction model is:

[0074]

[0075] Among them, θ is the impact of the change in electricity consumption before and after the user participates in the grid dispatch demand response on the user's demand response willingness, and the range of θ is between [0,1]; is the change of electricity consumption of users before and after participating in demand response; P′ is the electricity consumption of users in the period from 0 to t after participating in grid dispatch demand response; f t (P t ) is the load curve before the user participates in the grid dispatch demand response; f(P adjust ) is the load curve after the user participates in the grid dispatch demand response.

[0076] S2. Obtain the load curve of the user before participating in the grid dispatch demand response and the load curve after participating in the grid dispatch demand response, obtain the load usage of the user at the same time point on different dates within a preset time period according to the load curve before participating in the grid dispatch demand response, and calculate the corresponding user load baseline according to the load usage, and then construct the corresponding user electricity consumption habit satisfaction model according to the matching value of the load curve after participating in the grid dispatch demand response and the user load baseline;

[0077] Preferably, the user electricity usage habit satisfaction model is:

[0078] η=αf pearson +βf EDR ;

[0079]

[0080] Where η is the matching value between the load curve after the user participates in the grid dispatch demand response and the user load baseline; f pearson is the Pearson correlation coefficient mapped on [0,1]; f EDR is a similarity evaluation measure based on Euclidean distance; Cov(·) is a covariance function; σ(·) is a variance function; The load value of the load curve at time t after the user participates in the grid dispatch demand response; is the load value of the user's load baseline at time t; α and β are weight coefficients, both are less than 1, and α+β=1.

[0081] 1.2 User electricity usage habits satisfaction model:

[0082] First, the load baseline and dispatched curves of flexible resources are normalized:

[0083]

[0084] In the formula, x′ t is the normalized data; x t is the original data; X t is the original data set. Among them, x is respectively brought into the data P on the load curve after scheduling and the load baseline.

[0085] The load baseline solution method of the present invention uses statistics on the load usage of users at the same time point on different dates within a period of time, and then takes the average value as the load baseline:

[0086]

[0087] Where P base,t Represents the elements in the load baseline, n represents the number of statistical dates, represents the value corresponding to the load baseline at time t, P t，n It represents the load value on different dates at the same time point. In layman's terms, for example, it is the amount of electricity consumption on the load curve of a user at noon every day in the past seven days.

[0088] Since the Pearson correlation coefficient method has a value range of [-1, 1], the indicator data needs to be mapped to [0, 1]. In order to make the value range of the Euclidean distance in the calculation process also between [0, 1], it is indexed. The user electricity usage habit satisfaction model finally constructed is:

[0089] η=αf pearson +βf EDR ;

[0090]

[0091]

[0092] Where η is the matching value between the load curve after the user participates in the grid dispatch demand response and the user load baseline; f pearson is the Pearson correlation coefficient mapped on [0,1]; f EDR is a similarity evaluation measure based on Euclidean distance; Cov(·) is a covariance function; σ(·) is a variance function; The load value of the load curve at time t after the user participates in the grid dispatch demand response; is the load value of the user's load baseline at time t; α and β are weight coefficients, both of which are less than 1, and α+β=1. In the present invention, the default value is that both are 0.5.

[0093] S3. According to the load curve of the user before participating in the grid dispatch demand response and the load curve after participating in the grid dispatch demand response, construct the user's dispatchable capacity function and dispatch peak constraint, and construct the user's electricity consumption satisfaction constraint according to the user's electricity consumption satisfaction model, and construct the user's electricity consumption habit satisfaction constraint according to the user's electricity consumption habit satisfaction model;

[0094] Preferably, the constructing of the user's electricity consumption satisfaction constraint according to the user's electricity consumption satisfaction model, and the constructing of the user's electricity consumption habit satisfaction constraint according to the user's electricity consumption habit satisfaction model, include: for reduction-type users, constructing the reduction-type user's electricity consumption habit satisfaction constraint according to the user's electricity consumption habit satisfaction model, and respectively constructing a first electricity consumption satisfaction constraint for the first-tier reduction-type users preset among the reduction-type users and a second electricity consumption satisfaction constraint for the second-tier reduction-type users preset among the reduction-type users according to the user's electricity consumption satisfaction model, and then using the first electricity consumption satisfaction constraint and the second electricity consumption satisfaction constraint as the reduction-type users. electricity consumption satisfaction constraint; for transfer users, the electricity consumption satisfaction constraint of the transfer users is constructed according to the user electricity consumption satisfaction model, and according to the user electricity consumption habit satisfaction model, the first electricity consumption habit satisfaction constraint of the first-tier transfer users preset in the transfer users, the second electricity consumption habit satisfaction constraint of the second-tier transfer users preset in the transfer users, and the third electricity consumption habit satisfaction constraint of the third-tier transfer users preset in the transfer users are respectively constructed, and then the first electricity consumption habit satisfaction constraint, the second electricity consumption habit satisfaction constraint and the third electricity consumption habit satisfaction constraint are used as the electricity consumption habit satisfaction constraints of the reduction users.

[0095] Preferably, for curtailment users, the schedulable capacity function is:

[0096] P k =max(P t -P adjust );

[0097] The electricity usage habit satisfaction constraint is:

[0098]

[0099] The first electricity consumption satisfaction constraint of the first-tier reduction-type users is:

[0100]

[0101] The second electricity consumption satisfaction constraint of the second-tier reduction-type users is:

[0102]

[0103] The scheduling peak constraint is:

[0104]

[0105] Among them, P max is the user's peak power consumption; P m ' ax is the peak value of the curve after scheduling.

[0106] Preferably, for a transfer type user, the schedulable capacity function is:

[0107] P k =max(P t -P adjust );

[0108] The power consumption satisfaction constraint is:

[0109]

[0110] The first electricity usage habit satisfaction constraint of the first-tier transfer users is:

[0111]

[0112] The second electricity usage habit satisfaction constraint of the second-tier transfer users is:

[0113]

[0114] The third electricity usage habit satisfaction constraint of the third echelon transfer users is:

[0115]

[0116] 2. Screening model:

[0117] 2.1 Reduction users:

[0118] Referring to the description of the correlation between the curves by the result of the Pearson correlation coefficient, users can be divided into the following categories:

[0119] Scheduling capacity function:

[0120] P k =max(P t -P adjust );

[0121] Electricity usage satisfaction constraints:

[0122]

[0123] Scheduling peak constraints:

[0124]

[0125] Where P max The peak power consumption of the user; P m ' ax is the peak value of the curve after scheduling;

[0126] Power consumption satisfaction constraints:

[0127] First-tier users:

[0128]

[0129] Second tier users:

[0130]

[0131] Among them, each echelon is divided according to the user's response willingness, which also represents the user's scheduling value. The specific division is based on the Pearson correlation coefficient. The Pearson correlation coefficient (Pearson's correlation coefficient) is a statistical indicator that measures the degree of linear correlation between two variables, and its value range is between -1 and +1. When the Pearson correlation coefficient is close to +1, it means that there is a positive correlation between the two variables; when it is close to -1, it means that there is a negative correlation; when it is close to 0, it means that there is almost no linear correlation between the two variables. In the present invention, since the absolute value is added, the value range becomes [0, 1]. When it is greater than 0.8 in measuring the similarity of the curves, it means that the curves are strongly correlated; when it is greater than 0.5, it means that the curves are generally correlated; when it is greater than 0.3, it means that the curves are weakly correlated; when it is less than 0.3, it means that the curves are almost completely unrelated. Since there are rarely completely uncorrelated user curves, the ranges are changed to 0.8 to 1, 0.6 to 0.8, 0.3 to 0.6, 0.8 to 1, 0.5 to 0.8, and 0 to 0.5 respectively.

[0132] 2.2 Transfer users:

[0133] Referring to the division method of Pearson correlation coefficient, users can also be divided into the following categories based on their electricity usage habits:

[0134] Scheduling capacity function:

[0135] P k =max(P t -P adjust );

[0136] Power consumption satisfaction constraints:

[0137]

[0138] Electricity usage satisfaction constraints:

[0139] First-tier users:

[0140]

[0141] Second tier users:

[0142]

[0143] Third tier users:

[0144]

[0145] S4. Generate a corresponding power grid dispatching demand response strategy based on the user's dispatchable capacity function, dispatch peak constraint, power consumption satisfaction constraint and power consumption habit satisfaction constraint, so that the user can respond to the power grid dispatching demand according to the power grid dispatching demand response strategy.

[0146] Preferably, responding to the grid dispatching demand according to the grid dispatching demand response strategy includes: according to the grid dispatching demand response strategy, in the order of first-tier transfer users, second-tier transfer users, first-third-tier transfer users, first-tier reduction users and second-tier reduction users, selecting corresponding users to respond to the grid dispatching demand in turn until the grid dispatching demand is met.

[0147] Please refer to Figure 2 , which is a flow chart of the process of users participating in the grid dispatch demand response process. First, the dispatch target is set in advance according to different response scenarios, that is, the dispatch target of the grid is obtained, the power gap is calculated, and the load dispatcher designs and adjusts the data and conditions inside the model according to the information provided by the grid. Then, according to the constraints in the screening model, a larger range is used to obtain the pre-dispatch plan, and two major types of users are screened out, and the corresponding dispatch curves are obtained according to the two different types of users. After that, the two major types of users that have been divided are screened again according to the gradient of segmentation, and the users are segmented into different echelons.

[0148] Among them, the dispatching target of the power grid depends on what kind of dispatching scenario the patent is applied to. Here, the highest grid yield rate is used as an example of the objective function, that is, to contact different users through electricity prices to cooperate with each other, and then the fluctuation of the power grid is minimized. At the same time, when solving the user capacity, an objective function needs to be added, that is, the user's dispatchable capacity is the largest, and the dispatchable capacity is expressed by the difference between the dispatched curve and the user's load curve. The power gap refers to the difference caused when the total demand in the power system exceeds the total supply at a certain moment. The basic formula for calculating the power gap is as follows: Gap = Demand-Supply. The total demand here refers to the sum of the power demand of all users at that moment, and the total supply refers to the total amount of power that all power sources can provide at the same time. Power grid dispatching needs to rely on a lot of information to make decisions, mainly including: power generation side information: power generation capacity and power generation cost of each power plant; load side information: power consumption and power consumption characteristics of various users; market information: electricity prices, supply and demand.

[0149] Since the grid revenue must be taken into consideration, the higher the user's electricity consumption, the better the grid revenue. Therefore, the negative transfer users are given priority to participate in demand response. That is, after all the first echelon of transfer users participate, if the dispatch demand is still not met, the first echelon of reduction users will be selected to participate again, and so on. At the same time, the echelons are arranged again from high to low according to the adjustable capacity, and finally the users with the highest echelon and the largest capacity are selected to participate first. Then go down in sequence until the grid regulation demand is met.

[0150] Finally, the load provider receives the user-side load operation information in real time from the user energy management system installed on the user-side loads, and distributes the dispatching signals of different load curves to different users according to the conditions of the previous step.

[0151] 4. Scheduling:

[0152] In order to adapt to different scales and scenarios, changes can be made at the adjustable capacity, including:

[0153] Peak shaving:

[0154]

[0155] Where P k is the dispatchable capacity; I is the volatility of the load curve.

[0156] FM:

[0157] Calculate the load that can be reduced during peak hours: During peak hours, calculate the difference between the total load of the power grid and the adjustable load to obtain the amount of load that can be reduced:

[0158] ΔP peak =P total,peak -P controllable,peak ;

[0159] Calculate the load that can be increased during off-peak hours: During off-peak hours, if there is energy storage or other means of regulation, the amount of load that can be increased can be calculated.

[0160] ΔP valley =P controllable,valley -P total,valley ;

[0161] Calculate the total adjustable capacity: Take into account the load that can be reduced during peak hours and the load that can be increased during off-peak hours to obtain the total adjustable capacity.

[0162] C total =ΔP peak +ΔP valley .

[0163] It can be seen that the present invention provides a method for responding to power grid dispatching demand, and the present invention can achieve the following beneficial effects:

[0164] (1) The present invention proposes an automatic screening method for high-value users of flexible resources by combining user electricity consumption satisfaction and user electricity consumption habit satisfaction. First, the commonly used solution methods for user load adjustable capacity are listed and solutions applicable to different scenario scales are proposed as the objective function. Then, a user response willingness model is constructed - users are divided into two categories according to different load types and different electricity consumption methods to screen out high-value users with high response willingness;

[0165] (2) The present invention proposes an innovative high-value user automatic screening method and a gradient and batch participation demand response device. Combining the characteristics of different loads owned by users and the specific electricity usage mode, the description of the correlation between curves is referred to by the result of the Pearson correlation coefficient. According to different ranges, three echelons are divided and the dispatchable capacity is calculated. Finally, according to the order of the divided echelons, the first team and the lower teams participate in the demand response in turn until the grid gap is met. This can ensure that the grid has the most electricity bill income on the one hand, and reduce the removal of user loads on the other hand, reducing user perception and resistance.

[0166] Embodiment 2

[0167] Please refer to Figure 3 , is a schematic diagram of the structure of a power grid dispatching demand response device provided by an embodiment of the present invention, the device comprising: a user power consumption satisfaction model construction module, a user power consumption habit satisfaction model construction module, a power consumption satisfaction constraint construction module and a power grid dispatching demand response module;

[0168] The user power consumption satisfaction model building module is used to obtain the power consumption of the user before participating in the power grid dispatch demand response and the power consumption after participating in the power grid dispatch demand response, and then build a corresponding user power consumption satisfaction model according to the power consumption changes before and after the user participates in the power grid dispatch demand response;

[0169] The user electricity usage habit satisfaction model building module is used to obtain the load curve of the user before participating in the grid dispatch demand response and the load curve after participating in the grid dispatch demand response, obtain the user's load usage at the same time point on different dates within a preset time period based on the load curve before the user participates in the grid dispatch demand response, and calculate the corresponding user load baseline based on the load usage, and then build the corresponding user electricity usage habit satisfaction model based on the matching value of the load curve after the user participates in the grid dispatch demand response and the user load baseline;

[0170] The electricity consumption satisfaction constraint construction module is used to construct the user's dispatchable capacity function and dispatch peak constraint according to the load curve before the user participates in the grid dispatch demand response and the load curve after the user participates in the grid dispatch demand response, and to construct the user's electricity consumption satisfaction constraint according to the user's electricity consumption satisfaction model, and to construct the user's electricity consumption habit satisfaction constraint according to the user's electricity consumption habit satisfaction model;

[0171] The power grid dispatching demand response module is used to generate a corresponding power grid dispatching demand response strategy based on the user's dispatchable capacity function, dispatching peak constraint, electricity consumption satisfaction constraint and electricity consumption habit satisfaction constraint, so that the user can respond to the power grid dispatching demand according to the power grid dispatching demand response strategy.

[0172] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0173] Those skilled in the art can clearly understand that, for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0174] Embodiment 3

[0175] Accordingly, an embodiment of the present invention provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the power grid dispatching demand response method described in the above-mentioned embodiment of the invention when executing the computer program.

[0176] The electronic device may be a computing device such as a desktop computer, a notebook, a palm computer, a cloud server, etc. The device may include, but is not limited to, a processor and a memory.

[0177] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the device, and various interfaces and lines are used to connect various parts of the entire device.

[0178] Embodiment 4

[0179] Accordingly, an embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the power grid dispatching demand response method described in the above-mentioned embodiment of the invention.

[0180] The memory can be used to store the computer program, and the processor realizes various functions of the device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0181] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each method embodiment described above can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0182] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for responding to power grid dispatching demand, characterized in that: include: Obtain the user's electricity consumption before and after participating in the grid dispatch demand response, and then build a corresponding user electricity consumption satisfaction model based on the user's electricity consumption changes before and after participating in the grid dispatch demand response; Obtain the load curve of the user before participating in the grid dispatch demand response and the load curve after participating in the grid dispatch demand response, obtain the load usage of the user at the same time point on different dates within a preset time period according to the load curve before participating in the grid dispatch demand response, calculate the corresponding user load baseline according to the load usage, and then construct the corresponding user electricity consumption habit satisfaction model according to the matching value of the load curve after participating in the grid dispatch demand response and the user load baseline; According to the load curve of the user before participating in the grid dispatch demand response and the load curve after participating in the grid dispatch demand response, construct the user's dispatchable capacity function and dispatch peak constraint, and construct the user's electricity consumption satisfaction constraint according to the user's electricity consumption satisfaction model, and construct the user's electricity consumption habit satisfaction constraint according to the user's electricity consumption habit satisfaction model; According to the user's dispatchable capacity function, dispatch peak constraint, power consumption satisfaction constraint and power consumption habit satisfaction constraint, a corresponding power grid dispatch demand response strategy is generated so that the user can respond to the power grid dispatch demand according to the power grid dispatch demand response strategy.

2. The power grid dispatching demand response method according to claim 1, characterized in that: The step of constructing a user's electricity consumption satisfaction constraint according to the user's electricity consumption satisfaction model and constructing a user's electricity consumption habit satisfaction constraint according to the user's electricity consumption habit satisfaction model includes: For reduction users, a power consumption habit satisfaction constraint of the reduction users is constructed according to the user power consumption habit satisfaction model, and a first power consumption satisfaction constraint of the first echelon reduction users preset among the reduction users and a second power consumption satisfaction constraint of the second echelon reduction users preset among the reduction users are constructed according to the user power consumption satisfaction model, and then the first power consumption satisfaction constraint and the second power consumption satisfaction constraint are used as the power consumption satisfaction constraints of the reduction users; For transfer users, the electricity consumption satisfaction constraints of the transfer users are constructed according to the user electricity consumption satisfaction model, and the first electricity consumption habit satisfaction constraints of the first-tier transfer users preset among the transfer users, the second electricity consumption habit satisfaction constraints of the second-tier transfer users preset among the transfer users, and the third electricity consumption habit satisfaction constraints of the third-tier transfer users preset among the transfer users are constructed according to the user electricity consumption habit satisfaction model, and then the first electricity consumption habit satisfaction constraint, the second electricity consumption habit satisfaction constraint and the third electricity consumption habit satisfaction constraint are used as the electricity consumption habit satisfaction constraints of the reduction users.

3. The power grid dispatching demand response method according to claim 2, characterized in that: The responding to the power grid dispatching demand according to the power grid dispatching demand response strategy includes: According to the grid dispatching demand response strategy, the corresponding users are selected in turn in the order of first-tier transfer users, second-tier transfer users, first- and third-tier transfer users, first-tier reduction users, and second-tier reduction users to respond to the grid dispatching demand until the grid dispatching demand is met.

4. The method for responding to power grid dispatching demand according to claim 3, characterized in that: The user electricity consumption satisfaction model is: Among them, θ is the impact of the change in electricity consumption before and after the user participates in the grid dispatch demand response on the user's demand response willingness, and the range of θ is between [0,1]; is the change of electricity consumption of users before and after participating in demand response; P′ is the electricity consumption of users from 0 to t after participating in grid dispatch demand response; f t (P t ) is the load curve before the user participates in the grid dispatch demand response; f(P adjust ) is the load curve after the user participates in the grid dispatch demand response.

5. The method for responding to power grid dispatching demand according to claim 4, characterized in that: The user electricity usage habit satisfaction model is: η=αf pearson +βf DER ; Where η is the matching value between the load curve after the user participates in the grid dispatch demand response and the user load baseline; f pearson is the Pearson correlation coefficient mapped on [0,1]; f EDR is a similarity evaluation measure based on Euclidean distance; Cov(·) is a covariance function; σ(·) is a variance function; The load value of the load curve at time t after the user participates in the grid dispatch demand response; is the load value of the user's load baseline at time t; α and β are weight coefficients, both are less than 1, and α+β=1.

6. The method for responding to power grid dispatching demand according to claim 5, characterized in that: For curtailment users, the schedulable capacity function is: P k =max(P t -P adjust ); The electricity usage habit satisfaction constraint is: The first electricity consumption satisfaction constraint of the first-tier reduction-type users is: The second electricity consumption satisfaction constraint of the second-tier reduction-type users is: The scheduling peak constraint is: Among them, P max is the user's peak power consumption; P m ' ax is the peak value of the curve after scheduling.

7. The method for responding to power grid dispatching demand according to claim 6, characterized in that: For transfer users, the schedulable capacity function is: P k =max(P t -P adjust ); The power consumption satisfaction constraint is: The first electricity usage habit satisfaction constraint of the first-tier transfer users is: The second electricity usage habit satisfaction constraint of the second-tier transfer users is: The third electricity usage habit satisfaction constraint of the third echelon transfer users is:

8. A power grid dispatching demand response device, characterized in that: include: User electricity consumption satisfaction model building module, user electricity consumption habit satisfaction model building module, electricity consumption satisfaction constraint building module and power grid dispatch demand response module; The user power consumption satisfaction model building module is used to obtain the power consumption of the user before participating in the power grid dispatch demand response and the power consumption after participating in the power grid dispatch demand response, and then build a corresponding user power consumption satisfaction model according to the power consumption changes before and after the user participates in the power grid dispatch demand response; The user electricity usage habit satisfaction model building module is used to obtain the load curve of the user before participating in the grid dispatch demand response and the load curve after participating in the grid dispatch demand response, obtain the user's load usage at the same time point on different dates within a preset time period based on the load curve before the user participates in the grid dispatch demand response, and calculate the corresponding user load baseline based on the load usage, and then build the corresponding user electricity usage habit satisfaction model based on the matching value of the load curve after the user participates in the grid dispatch demand response and the user load baseline; The electricity consumption satisfaction constraint construction module is used to construct the user's dispatchable capacity function and dispatch peak constraint according to the load curve before the user participates in the grid dispatch demand response and the load curve after the user participates in the grid dispatch demand response, and to construct the user's electricity consumption satisfaction constraint according to the user's electricity consumption satisfaction model, and to construct the user's electricity consumption habit satisfaction constraint according to the user's electricity consumption habit satisfaction model; The power grid dispatching demand response module is used to generate a corresponding power grid dispatching demand response strategy based on the user's dispatchable capacity function, dispatching peak constraint, electricity consumption satisfaction constraint and electricity consumption habit satisfaction constraint, so that the user can respond to the power grid dispatching demand according to the power grid dispatching demand response strategy.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for responding to power grid dispatching demand as described in any one of claims 1 to 7 is implemented.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is executed, the device where the storage medium is located is controlled to execute the power grid dispatching demand response method according to any one of claims 1 to 7.

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