Cross-regional electric power complementation and transaction method, device, equipment, medium and product

Abstract

The invention discloses a cross-regional electric power complementation and transaction method, device and equipment, a medium and a product, and relates to the field of electric power market transaction. The method comprises the steps of obtaining power data of power systems in different regions; establishing a power market transaction mode taking the electric energy as a transaction target in each region; formulating a cross-regional power complementation scheduling scheme according to the power data of the power systems in different regions; constructing a power transaction model with the goal of cross-regional power transaction market comprehensive revenue maximization; according to the electric power data, the electric power market transaction mode and the electric power complementation scheduling scheme, solving the electric power transaction model to obtain an optimal electric power complementation and transaction scheme; the optimal power complementation and transaction scheme comprises the optimal time-of-use electricity price when the power supply side sells the electric energy and the optimal time-of-use electricity price when the power demand side purchases the electric energy. The system can achieve the balance of power supply and demand, and improves the stability and safety of a power system.

Description

Technical Field

[0001] The present application relates to the field of electricity market transactions, and in particular to a cross-regional electricity complementarity and transaction method, device, equipment, medium and product. Background Art

[0002] The distribution of electric power sources is regional, and the distribution of electric power sources is highly complementary. Therefore, cross-regional power transmission can balance power supply and demand, adjust surplus and shortage, and optimize resource allocation on a large scale.

[0003] However, the cross-regional power trading mechanism has not yet been established and improved, resulting in unbalanced resource allocation and transmission bottlenecks; insufficient participation of clean energy and new energy; large price fluctuations in the power market, and relatively weak risk management and market forecasting capabilities. Therefore, in order to allocate resources more reasonably and improve resource utilization, it is necessary to optimize the cross-regional power resource allocation. Summary of the invention

[0004] The purpose of this application is to provide a cross-regional power complementarity and trading method, device, equipment, medium and product, which can achieve a balance between power supply and demand and improve the stability and safety of the power system.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In the first aspect, the present application provides a cross-regional power complementarity and trading method, including: obtaining power data of power systems in different regions; establishing a power market trading model in each region with electric energy as the trading target; formulating a cross-regional power complementarity scheduling plan based on the power data of power systems in different regions; constructing a power trading model with the goal of maximizing the comprehensive benefits of the cross-regional power trading market; solving the power trading model based on the power data, the power market trading model and the power complementarity scheduling plan to obtain the optimal power complementarity and trading plan; the optimal power complementarity and trading plan includes: the optimal time-of-use electricity price when the power supply side sells electricity and the optimal time-of-use electricity price when the power demand side purchases electricity.

[0007] In the second aspect, the present application provides a cross-regional power complementarity and trading device, including: a data acquisition module, a trading mode establishment module, a scheduling plan formulation module, a trading model construction module and a solution module. The data acquisition module is used to acquire power data of power systems in different regions. The trading mode establishment module is used to establish a power market trading model in each region with electric energy as the trading target. The scheduling plan formulation module is used to formulate a cross-regional power complementarity scheduling plan based on the power data of power systems in different regions. The trading model construction module is used to construct a power trading model with the goal of maximizing the comprehensive benefits of the cross-regional power trading market. The solution module is used to solve the power trading model according to the power data, the power market trading model and the power complementary scheduling plan, and obtain the optimal power complementarity and trading plan; the optimal power complementarity and trading plan includes: the optimal time-of-use electricity price when the power supply side sells electricity and the optimal time-of-use electricity price when the power demand side purchases electricity.

[0008] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned cross-regional electricity complementarity and trading method.

[0009] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned cross-regional electricity complementarity and trading method.

[0010] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned cross-regional electricity complementarity and trading method.

[0011] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0012] The present application provides a cross-regional power complementarity and trading method, device, equipment, medium and product, and constructs a power trading model with the goal of maximizing the comprehensive benefits of the cross-regional power trading market, so as to solve the power trading model to obtain the optimal power complementarity and trading plan, integrate and utilize power resources in different regions to the greatest extent, and achieve a dynamic balance of supply and demand through cross-regional power trading; at the same time, reduce dependence on traditional energy and promote the development of clean energy; cross-regional power trading also helps to reduce transmission voltage drop and load congestion, solve local power supply and demand contradictions, and improve the stability and safety of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0014] Figure 1 This is an application environment diagram of a cross-regional power complementation and trading method in one embodiment of the present application;

[0015] Figure 2 A schematic diagram of a flow chart of a cross-regional power complementation and trading method provided in one embodiment of the present application;

[0016] Figure 3 A brief schematic diagram of a cross-regional power complementation and trading method provided in another embodiment of the present application;

[0017] Figure 4 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0020] The cross-regional power complementation and trading method provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the power data of the power systems in different regions to the server 104. After the server 104 receives the power data of the power systems in different regions, the server 104 establishes a power market transaction model with electric energy as the transaction target in each region; formulates a cross-regional power complementary scheduling plan based on the power data of the power systems in different regions; constructs a power trading model with the goal of maximizing the comprehensive benefits of the cross-regional power trading market; solves the power trading model based on the power data, the power market transaction model and the power complementary scheduling plan to obtain the optimal power complementarity and trading plan; the optimal power complementarity and trading plan includes: the optimal time-of-use electricity price when the power supply side sells electricity and the optimal time-of-use electricity price when the power demand side purchases electricity. The server 104 can feedback the obtained optimal power complementarity and trading plan to the terminal 102. In addition, in some embodiments, the cross-regional power complementarity and trading method can also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 can directly process the power data of the power systems in different regions, or the server 104 can obtain the power data of the power systems in different regions from the data storage system and obtain the optimal power complementarity and trading plan for the power data of the power systems in different regions.

[0021] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0022] In an exemplary embodiment, Figure 2 As shown, a cross-regional power complementation and trading method is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate, including the following steps 201 to 205. Among them:

[0023] Step 201: Obtain power data of power systems in different regions.

[0024] Step 202: Establishing a power market transaction model in each region with electric energy as the transaction target.

[0025] Step 203: Formulate a cross-regional power complementary dispatching plan based on the power data of power systems in different regions.

[0026] Step 204: Constructing a power trading model with the goal of maximizing the comprehensive benefits of the cross-regional power trading market.

[0027] Step 205: Solve the power trading model according to the power data, the power market trading model and the power complementarity scheduling plan to obtain an optimal power complementarity and trading plan; the optimal power complementarity and trading plan includes: the optimal time-of-use electricity price when the power supply side sells electricity and the optimal time-of-use electricity price when the power demand side purchases electricity.

[0028] By implementing the above steps 201 to 205, the power resources in different regions can be integrated and utilized to the greatest extent, and the dynamic balance of supply and demand can be achieved through cross-regional power transactions, thereby reducing the operating costs of the power system and improving energy efficiency. Cross-regional power complementarity can also alleviate the problems of overload and insufficient power supply of transmission lines, promote the development and utilization of clean energy, improve the stability and reliability of the power system, and provide more flexible and sustainable solutions for energy transformation and economic development.

[0029] In another exemplary embodiment of the present application, in order to obtain the power demand and supply conditions of power systems in different regions, the power data in the above step 201 includes: load demand, installed power generation capacity, line parameters, and regional power output capable of energy supply.

[0030] In another exemplary embodiment of the present application, in order to effectively improve data quality, the above step 201 can be replaced by the following steps 301 to 302:

[0031] Step 301: Collect operating data of each regional power system.

[0032] Step 302: pre-process the operating data to obtain power data of power systems in different regions; the pre-processing includes missing value filling, outlier detection and elimination, data linear transformation, feature selection and dimensionality reduction, and data balancing processing.

[0033] SQL is a data analysis and processing method that can query and clean raw data to achieve data preprocessing. Therefore, step 302 uses SQL to clean, convert and organize the raw data, effectively improving data quality and achieving optimized feature representation.

[0034] In another exemplary embodiment of the present application, electric energy trading needs to determine the pricing method, trading cycle and settlement method of electric energy trading. The power market provides functions such as information release, quotation bidding, transaction matching and settlement and clearing for electric energy trading. Then the above step 202 establishes a medium- and long-term, multi-cycle, and multi-category trading mechanism with electric energy as the main trading target based on the spot market, providing market participants with risk control tools to avoid drastic price fluctuations; at the same time, a spot trading mechanism for cross-regional electricity volume, centralized bidding, and day-ahead and real-time parallel is established.

[0035] By determining the electricity market transaction model, whether it is a competitive auction, spot transaction, long-term contract, bilateral negotiation or a regional electricity market model, the pricing method, transaction cycle and settlement method of electric energy transaction can be obtained, and then applied in step 205.

[0036] In another exemplary embodiment of the present application, considering the power production capacity, load characteristics and transmission network topology of different regions, a cross-regional power complementary scheduling plan is formulated to achieve optimal configuration and complementary scheduling of power resources. Then the above step 203 constructs a cross-regional power complementary scheduling plan based on the supply and demand relationship and quality of power in different regions. Among them, the supply and demand relationship and quality specifically include: load demand, installed power generation capacity, and regional power output that can supply energy.

[0037] By determining the transmission network topology between the two regions, when electricity is input from the power supply area, it passes through the transmission line and is output in the power demand area accordingly, and the loss is mainly the loss of the transmission line. The cross-regional power complementary scheduling scheme is mainly calculated on power transportation, and the boundary conditions of power complementary scheduling are determined, laying the foundation for the calculation of step 205.

[0038] In another exemplary embodiment of the present application, the objective function of the power trading model is:

[0039]

[0040] In the formula, F represents the objective function, p s represents the electricity supply price, p b represents the electricity demand side price, represents the price of electricity sold by the power supply side at time t, represents the electricity price when the power demand side purchases electricity at time t, and Respectively represent the electricity benefits of the power supply side and the power demand side at time t, δω t represents the electricity price in the power market at time t, ΔE t Represents the supply and demand relationship at time t.

[0041] The boundary conditions of the power trading model are:

[0042] U imin ≤U i ≤U imax

[0043]

[0044] P dimin ≤P di ≤P dimax

[0045] Q dimin ≤Q di ≤Q dimax

[0046] Where U i represents the voltage in region i, U imax and U imin represents the upper and lower limits of the voltage constraint for region i, ΔP i t represents the sold electricity in region i, represents the purchased electricity in region j, P di represents the active power output of the power supply in area i, P dimax and P dimin They represent the upper and lower limits of the active output of the power supply in area i, Q di represents the reactive power output of the power source in area i, Q dimax and Q dimin They represent the upper and lower limits of the reactive power output of the power source in area i respectively.

[0047] In another exemplary embodiment of the present application, when solving the power trading model in step 205, the GURUBI solver is used to solve the above optimization problem, so as to obtain the optimal power complementarity and trading scheme. The optimal power complementarity and trading scheme includes the optimal time-of-use electricity price corresponding to the power supply side when selling electric energy. The optimal time-of-use electricity price corresponding to the power demand side when purchasing electricity

[0048] In another exemplary embodiment of the present application, in order to achieve information sharing, the optimized scheduling information is determined in real time, such as Figure 3 As shown, the method may also include: establishing an information exchange platform for information sharing between different regions. The platform mainly has the function of displaying power information of different regions in real time, such as the smart power system of the power grid, coordinating power supply and demand, ensuring interoperability and data standardization between different systems, and realizing cross-regional information sharing and intercommunication.

[0049] The purpose of the present invention is to optimize the allocation of power resources, achieve a balance and flexible scheduling of power supply and demand, and improve the efficiency of power grid operation and power supply reliability. Through cross-regional complementarity, the power resources of different regions can be fully utilized, the power supply cost can be reduced, the energy utilization efficiency can be improved, and the dependence on traditional energy can be reduced, and the development of clean energy can be promoted. In addition, cross-regional power trading can also help reduce transmission voltage drop and load congestion, solve the contradiction between local power supply and demand, improve the stability and security of the power system, and provide reliable power support for economic and social development.

[0050] This application forms a reasonable time-of-use electricity price based on load characteristics and demand, and promptly adopts electricity prices or node electricity price mechanisms in different regions according to the supply and demand relationship of the power grid, thereby increasing the revenue from power market transactions and being able to better respond to changes in power grid demand.

[0051] Based on the same inventive concept, the embodiment of the present application also provides a cross-regional power complementation and trading device for implementing the cross-regional power complementation and trading method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the one or more cross-regional power complementation and trading device embodiments provided below can refer to the above limitations on the cross-regional power complementation and trading method, and will not be repeated here.

[0052] In an exemplary embodiment, a cross-regional power complementarity and trading device is provided, including: a data acquisition module, a trading mode establishment module, a scheduling plan formulation module, a trading model construction module and a solution module.

[0053] The data acquisition module is used to obtain power data of power systems in different regions. The transaction mode establishment module is used to establish a power market transaction mode in each region with electric energy as the transaction target. The scheduling plan formulation module is used to formulate a cross-regional power complementarity scheduling plan based on the power data of power systems in different regions. The transaction model construction module is used to construct a power trading model with the goal of maximizing the comprehensive benefits of the cross-regional power trading market. The solution module is used to solve the power trading model based on the power data, the power market transaction mode and the power complementarity scheduling plan to obtain the optimal power complementarity and transaction plan; the optimal power complementarity and transaction plan includes: the optimal time-of-use electricity price when the power supply side sells electricity and the optimal time-of-use electricity price when the power demand side purchases electricity.

[0054] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 4As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store optimal power complementarity and trading solutions. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a cross-regional power complementarity and trading method is implemented.

[0055] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0056] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0057] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0058] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0059] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0060] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0061] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0062] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A cross-regional power complementation and trading method, characterized in that: The cross-regional power complementation and trading method includes: Obtain power data from power systems in different regions; Establish a power market trading model in each region with electric energy as the trading target; Formulate cross-regional power complementary dispatching plans based on power data from power systems in different regions; Construct an electricity trading model with the goal of maximizing the comprehensive benefits of the cross-regional electricity trading market; According to the power data, the power market transaction model and the power complementary scheduling plan, the power transaction model is solved to obtain the optimal power complementarity and transaction plan; the optimal power complementarity and transaction plan includes: the optimal time-of-use electricity price when the power supply side sells electricity and the optimal time-of-use electricity price when the power demand side purchases electricity.

2. The cross-regional power complementation and trading method according to claim 1 is characterized in that: The power data includes: load demand, installed power generation capacity, line parameters, and regional power output capable of supplying energy.

3. The cross-regional power complementation and trading method according to claim 1 is characterized in that: Obtain power data of power systems in different regions, including: Collect operating data of each regional power system; The operating data is preprocessed to obtain power data of power systems in different regions; the preprocessing includes missing value filling, outlier detection and elimination, data linear transformation, feature selection and dimensionality reduction, and data balancing processing.

4. The cross-regional power complementation and trading method according to claim 1 is characterized in that: The objective function of the power trading model is: In the formula, F represents the objective function, p s represents the electricity supply price, p b represents the electricity demand side price, represents the price of electricity sold by the power supply side at time t, represents the electricity price when the power demand side purchases electricity at time t, and Respectively represent the electricity benefits of the power supply side and the power demand side at time t, δω t represents the electricity price in the power market at time t, ΔE t Represents the supply and demand relationship at time t.

5. The cross-regional power complementation and trading method according to claim 4 is characterized in that: The boundary conditions of the power trading model are: IN imin ≤U i ≤U imax ; P dimin ≤P di ≤P dimax ; Q dimin ≤Q di ≤Q dimax ; Where U i represents the voltage in region i, U imax and U imin represents the upper and lower limits of the voltage constraint for region i, represents the sold electricity in region i, represents the purchased electricity in region j, P di represents the active power output of the power supply in area i, P dimax and P dimin They represent the upper and lower limits of the active output of the power supply in area i, Q di represents the reactive power output of the power source in area i, Q dimax and Q dimin They represent the upper and lower limits of the reactive power output of the power source in area i respectively.

6. The cross-regional power complementation and trading method according to claim 1 is characterized in that: The cross-regional power complementation and trading method further includes: Establish an information exchange platform for information sharing among different regions.

7. A cross-regional power complementation and trading device, characterized in that: The cross-regional power complementation and trading device includes: A data acquisition module is used to acquire power data of power systems in different regions; The trading mode establishment module is used to establish a power market trading mode in each region with electric energy as the trading target; The dispatching plan formulation module is used to formulate cross-regional power complementary dispatching plans based on the power data of power systems in different regions; The trading model building module is used to build a power trading model with the goal of maximizing the comprehensive benefits of the cross-regional power trading market; A solution module is used to solve the power trading model according to the power data, the power market trading model and the power complementary scheduling plan to obtain an optimal power complementarity and trading plan; the optimal power complementarity and trading plan includes: the optimal time-of-use electricity price when the power supply side sells electricity and the optimal time-of-use electricity price when the power demand side purchases electricity.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the cross-regional electricity complementarity and trading method described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the cross-regional power complementarity and trading method described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the cross-regional power complementarity and trading method described in any one of claims 1 to 6 is implemented.

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