A method, device and storage medium for determining load loss value calculation

Abstract

The present application relates to the technical field of power market, and discloses a method and device for determining the value of load loss and a storage medium, the method comprising: calculating the average load loss value of industrial and commercial electricity customers at a specified time according to the relevant electricity consumption and corresponding gross domestic product; calculating the average load loss value of household electricity customers at a specified time according to the relevant income and household electricity consumption; and drawing the daily load loss characteristic curve of the electricity customers according to the average load loss value of the industrial and commercial electricity customers and / or household electricity customers at a specified time and the daily electricity consumption characteristic curve of the industrial and commercial electricity customers and / or household electricity customers. The present application can be applied to analyze the difference in load loss value among different provinces, and provide a reference for the upper limit of spot market price, demand corresponding compensation standard and capacity demand curve design.

Description

Technical Field

[0001] This invention relates to the field of electricity market technology, specifically to a method, apparatus, equipment, and storage medium for determining the value of load shedding. Background Technology

[0002] In order to avoid power outages and reduce the economic, social, and loss of life and property caused by them, it is particularly important to analyze power outage events, determine technical solutions, and formulate strategies and tools to avoid power outages.

[0003] From a socio-economic perspective, maintaining 100% uninterrupted power supply would be extremely costly and difficult to achieve. However, the most economical choice in power security theory is when the damage caused by a power outage is commensurate with the cost of maintaining the power supply. This means that if the cost of maintaining the power supply to a certain area is greater than the cost of a power outage, then a power outage should be chosen; otherwise, power should be maintained.

[0004] Therefore, corresponding indicators and their calculation methods are needed to support the above theory, and the unloaded value and production function method came into being. Summary of the Invention

[0005] (a) Technical problems to be solved

[0006] To address the shortcomings of existing technologies, this invention provides a method for determining the value of load shedding, which is based on macroeconomic data and electricity consumption data and uses the production function method for calculation to guide electricity consumption.

[0007] (II) Technical Solution

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] Firstly, a method for determining the value of load loss is provided, including:

[0010] Calculate the average loss-of-load value for industrial and commercial electricity customers over a specified period based on their relevant electricity consumption and corresponding gross domestic product.

[0011] Calculate the average unload value for a specified period of time for a household electricity customer based on the customer's relevant income and household electricity consumption;

[0012] Based on the average unload value of industrial and commercial electricity customers and / or household electricity customers over a specified period, and the daily electricity consumption characteristic curves of industrial and commercial electricity customers and / or household electricity customers, plot the daily unload characteristic curves of electricity customers.

[0013] Preferably, the calculation of the average load shedding value for the industrial and commercial electricity customers over a specified period specifically includes:

[0014] For a specific period of time, collect relevant electricity consumption data of industrial and commercial electricity customers, and collect the corresponding gross domestic product (GDP) of industrial and commercial electricity customers.

[0015] Based on the collected relevant information, calculate the average unload value for industrial and commercial electricity customers over a certain period of time.

[0016] Preferably, the calculation of the average unload value for the specified time period for the household electricity customer is specifically as follows:

[0017] For a specific period of time, collect relevant electricity consumption data for household electricity customers and collect the corresponding revenue for that household electricity customer group.

[0018] Based on the collected relevant information, calculate the average unload value for a household electricity customer group over a certain period of time.

[0019] Preferably, the calculation of the average load shedding value for a certain period of time for the industrial and commercial electricity customer group is specifically calculated using the production function method formula, which is as follows:

[0020] VOLL I&C =P / Q

[0021] Among them, VOLL I&C For industrial and commercial electricity customers, P represents gross domestic product (GDP) and Q represents electricity consumption during the corresponding time period.

[0022] Preferably, the calculation of the average unload value for a household electricity customer group over a certain period of time is as follows:

[0023] VOLL HOME =I / Q

[0024] Among them, VOLL HOME I represents the unload value for household electricity customers, where I is the gross domestic product and Q is the electricity consumption for the corresponding time period.

[0025] Preferably, the daily load loss characteristic curve of the electricity customer consists of 24 points representing the 24-hour user load loss value, used to indicate the expected economic loss of each hour of electricity loss due to the different electricity consumption characteristics of each hour.

[0026] Preferably, the method for constructing the daily load characteristic curve of the electricity customer includes the following steps:

[0027] Based on the daily load characteristic curve of electricity customers, capture 24-hour user load data and calculate the average hourly electricity load.

[0028] Based on the 24-hour load data and average hourly load data of electricity customers, the 24-hour electricity demand factor for this type of user is calculated. The calculation formula is: Demand factor = Hourly electricity consumption / Average electricity consumption, which is used to measure the user's dependence on electricity in that hour.

[0029] Based on the 24-hour user demand factor and the load loss value of this type of user, calculate the 24-hour load loss value of this type of user. The calculation formula is: Load loss value = Demand factor * Average load loss value. Connect the 24 load loss values ​​and use them to plot the typical daily load loss value characteristic curve of this user type.

[0030] Secondly, a pricing device is provided, based on the aforementioned method for determining the loss-of-load value calculation, comprising:

[0031] The measured resource parameter acquisition module is used to acquire the measured status parameters and measured resource parameters of the target resource, wherein the measured resource parameters include at least one measured quotation coefficient;

[0032] The target pricing coefficient output module is used to input the measured state parameters and measured resource parameters into the pre-trained target pricing model to obtain the output target pricing coefficient and the target revenue corresponding to the target pricing coefficient. The target pricing model is trained based on a deep reinforcement learning algorithm.

[0033] Thirdly, a computer-readable storage medium is provided for storing one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to perform any of the methods described.

[0034] Fourthly, a computing device is provided, comprising:

[0035] One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for performing any of the methods described.

[0036] (III) Beneficial Effects

[0037] This invention provides a method, apparatus, equipment, and storage medium for determining the value of load shedding, which can be applied to analyze the differences in the value of load shedding in different provinces, and also provides a reference for the design of spot market price ceilings, corresponding demand compensation standards, and capacity demand curves. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of the method for determining the loss-of-load value in an embodiment of the present invention;

[0039] Figure 2 This is a normalized daily load loss value characteristic curve for different electricity customer groups according to an embodiment of the present invention;

[0040] Figure 3 This is a typical daily load shedding characteristic curve based on provincial load electricity consumption, which is an implementation of the present invention. Detailed Implementation

[0041] The technical solutions in the embodiments of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0042] Example

[0043] like Figure 1-3 As shown, one embodiment of the present invention provides a method for determining the value of load depletion, comprising:

[0044] Calculate the average loss-of-load value for industrial and commercial electricity customers over a specified period based on their relevant electricity consumption and corresponding gross domestic product.

[0045] Calculate the average unload value for a specified period of time for a household electricity customer based on the customer's relevant income and household electricity consumption;

[0046] Based on the average unload value of industrial and commercial electricity customers and / or household electricity customers over a specified period, and the daily electricity consumption characteristic curves of industrial and commercial electricity customers and / or household electricity customers, plot the daily unload characteristic curves of electricity customers.

[0047] The specific implementation includes the following steps:

[0048] S1: Determine the customer groups that bear the cost of power outages, which are divided into various types of industrial and commercial electricity customers, including agriculture, manufacturing, and finance, and residential electricity customers;

[0049] S2: For various industrial and commercial electricity customers such as agriculture, manufacturing, and finance, collect their relevant electricity consumption and corresponding gross domestic product to calculate the corresponding loss of load value (e.g., annual electricity consumption corresponds to annual gross domestic product to calculate the annual average loss of load value).

[0050] S3: For household electricity customers, it is necessary to consider their willingness to pay and the value of their family leisure and entertainment, collect their relevant income and household electricity consumption, and calculate their corresponding offload value (e.g., annual electricity consumption corresponds to annual income to calculate the annual average offload value).

[0051] S4: Based on the typical daily electricity consumption characteristic curve of the electricity customer and its load loss value, draw the typical daily load loss characteristic curve of this type of electricity customer to guide this type of electricity customer to use electricity economically and safely.

[0052] S5: Combining the province's industrial structure with the province's typical daily electricity consumption characteristic curve, plot the province's typical daily load shedding characteristic curve.

[0053] S6: By combining the characteristic curves of typical daily load loss in different provinces, analyze the differences between provinces to guide the construction of a unified national electricity market.

[0054] Furthermore, the loss-of-load value in step 2 is characterized in that the method for constructing the loss-of-load value includes the following steps:

[0055] (1) Collect relevant electricity consumption data of industrial and commercial electricity customers (for a certain period of time, in kWh), and collect the corresponding gross domestic product (in yuan) of the electricity consumption of the customer group.

[0056] (2) Based on the collected relevant information, calculate the average load loss value of the customer group for a certain period of time. The calculation formula is: Average load loss value = Gross production value / Electricity consumption.

[0057] Furthermore, the loss-of-load value in step 3 is characterized in that the method for constructing the loss-of-load value includes the following steps:

[0058] (1) Collect relevant electricity consumption data of household electricity customers (for a certain period of time, in kWh), and collect the corresponding revenue (in yuan) of the electricity consumption of the customer group.

[0059] (2) Based on the collected relevant information, calculate the average load loss value of the customer group for a certain period of time. The calculation formula is: Average load loss value = Revenue / Electricity consumption.

[0060] Furthermore, the typical daily load shedding characteristic curve for this type of user required in step 4 is characterized in that the curve is composed of 24 points representing the hourly load shedding value of the user, and the method for constructing the curve includes the following steps:

[0061] (1) Based on the typical daily load characteristic curve of this type of user, capture 24 hours of user load data and calculate the average hourly power load.

[0062] (2) Based on the user's 24-hour load data and average hourly load data, calculate the 24-hour electricity demand factor for this type of user. The calculation formula is: demand factor = electricity consumption in that hour / average electricity consumption, which is used to measure the user's dependence on electricity in that hour.

[0063] (3) Based on the 24-hour user demand factor and the load loss value of this type of user, calculate the 24-hour load loss value of this type of user. The calculation formula is: load loss value = demand factor * average load loss value. Connect the 24 load loss values ​​and use them to draw the characteristic curve of the typical daily load loss value of this user type.

[0064] Furthermore, the provincial typical daily load shedding characteristic curve in step 5 is characterized by the following steps in the method of constructing the curve:

[0065] (1) Based on the characteristics of the industrial structure of the designated province, industries with high electricity consumption and high load loss value are selected for consideration. This ensures that the total electricity consumption of all selected industries accounts for more than 80% of the electricity consumption of the designated province, and the total output value of all selected industries accounts for more than 80% of the total output value of the designated province, so that the data is meaningful.

[0066] (2) Summarize the electricity consumption characteristic curves, electricity consumption and their load loss value for the selected industries respectively.

[0067] (3) Calculate the electricity consumption of other industries based on the difference between the electricity consumption of the province and the total electricity consumption of the selected industries, so as to make up for the difference between the actual electricity consumption and the electricity consumption of the selected industries. Draw the electricity consumption characteristic curve of other industries based on the difference between the electricity consumption characteristic curve of the designated province and the sum of the electricity consumption characteristic curves of all industries, so as to make up for the difference between the sum of the actual electricity consumption characteristic curves of other industries and the electricity consumption characteristic curves of the selected industries. Calculate the load loss value of other industries based on the difference between the load loss value of the designated province and the load loss value of the selected industries, so as to make up for the difference between the actual load loss value of the designated province and the total load loss value of the selected industries.

[0068] (4) Calculate the 24-hour load loss value of the designated province based on the power consumption characteristic curves, power consumption and load loss value of the selected industry and other industries, and connect the 24 points to draw the typical daily load loss value characteristic curve of the designated province, so as to guide the safe use of electricity in the province.

[0069] Furthermore, the production function method refers to the relationship between inputs and outputs under certain technological conditions. Assuming X1, X2, ..., Xn sequentially represent the quantities of n production factors used in the production process of a certain product, and Q represents the maximum output that can be produced under certain technological conditions, then the production function method can be written in the following form: Q = f(X1, X2, ..., Xn). When calculating the unloaded value, the production factor is electricity, and the production capacity is gross domestic product.

[0070] Another embodiment of the present invention provides a pricing device, which, based on the aforementioned method for determining the loss-of-load value calculation, includes:

[0071] The measured resource parameter acquisition module is used to acquire the measured status parameters and measured resource parameters of the target resource, wherein the measured resource parameters include at least one measured quotation coefficient;

[0072] The target pricing coefficient output module is used to input the measured state parameters and measured resource parameters into the pre-trained target pricing model to obtain the output target pricing coefficient and the target revenue corresponding to the target pricing coefficient. The target pricing model is trained based on a deep reinforcement learning algorithm.

[0073] Embodiments of this application may be provided as methods or computer program products. Therefore, this application may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application 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. The solutions in the embodiments of this application may be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0074] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0075] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0076] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0077] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for determining the value of load depletion, comprising: Calculate the average loss-of-load value for industrial and commercial electricity customers over a specified period based on their relevant electricity consumption and corresponding gross domestic product. Calculate the average unload value for a specified period of time for a household electricity customer based on the customer's relevant income and household electricity consumption; Based on the average unload value of industrial and commercial electricity customers and / or household electricity customers over a specified period and the daily electricity consumption characteristic curves of industrial and commercial electricity customers and / or household electricity customers, plot the daily unload characteristic curves of electricity customers; The daily load loss characteristic curve of the electricity customer consists of 24 points representing the load loss value of the user in 24 hours. It is used to indicate the expected economic loss of each hour of electricity loss due to the different electricity consumption characteristics of each hour. The method for constructing the daily load shedding characteristic curve of the electricity customer includes the following steps: Based on the daily load characteristic curve of electricity customers, capture 24-hour user load data and calculate the average hourly electricity load. Based on the 24-hour load data and average hourly load data of electricity customers, the 24-hour electricity demand factor for this type of user is calculated. The calculation formula is: Demand factor = Hourly electricity consumption / Average electricity consumption, which is used to measure the user's dependence on electricity in that hour. Based on the 24-hour user demand factor and the load shedding value for this type of user, the 24-hour load shedding value for this type of user is calculated using the formula: Load shedding value = Demand factor The average load loss value is used to connect 24 load loss values, and a typical daily load loss value characteristic curve for this user type is plotted based on this.

2. The method for determining the value of load loss according to claim 1, characterized in that, The calculation of the average loss-of-load value for the specified time period for the industrial and commercial electricity customers is as follows: For a specific period of time, collect relevant electricity consumption data of industrial and commercial electricity customers, and collect the corresponding gross domestic product (GDP) of industrial and commercial electricity customers. Based on the collected relevant information, calculate the average unload value for industrial and commercial electricity customers over a certain period of time.

3. The method for determining the value of load loss according to claim 1, characterized in that, The calculation of the average unload value for the specified time period for the household electricity customer is as follows: For a specific period of time, collect relevant electricity consumption data for household electricity customers and collect the corresponding revenue for that household electricity customer group. Based on the collected relevant information, calculate the average unload value for a household electricity customer group over a certain period of time.

4. The method for determining the value of load loss according to claim 2, characterized in that, The calculation of the average load shedding value for the industrial and commercial electricity customer group over a certain period is specifically performed using the production function method formula, which is as follows: in, For industrial and commercial electricity customers, P represents gross domestic product (GDP) and Q represents electricity consumption during the corresponding time period.

5. The method for determining the value of load loss according to claim 3, characterized in that, The calculation of the average unload value for a household electricity customer group over a certain period of time: in, Let I represent the unload value of a household electricity customer, where I is the related revenue of the household electricity customer, and Q is the electricity consumption during the corresponding time period.

6. A device, characterized in that, include: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the loss-of-load value calculation as described in any one of claims 1-5.

7. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the method for determining the loss-of-load value calculation as described in any one of claims 1-5.

Images