Medium and long term standby multi-cycle transaction method and related device

Abstract

The invention discloses a medium-and-long-term standby multi-cycle transaction method and a related device, and the method comprises the steps: obtaining new energy output probabilities under different time scales, and constructing a year, month and intra-month multi-cycle transaction system framework according to the new energy output probabilities under different time scales, determining an inter-provincial clearing mode of a medium and long term standby transaction cycle according to the annual, monthly and intra-monthly multi-cycle transaction system framework; according to the inter-provincial clearing mode of the medium-and-long-term standby transaction cycle, constructing an objective function and a constraint condition, and solving the objective function under the constraint condition to obtain clearing data of the medium-and-long-term standby transaction cycle; and according to the clearing data of the medium-and-long-term standby transaction period, medium-and-long-term standby multi-period transaction of the medium-and-long-term standby transaction period is carried out. The method and the related device can integrate new energy output characteristics to carry out medium-and-long-term standby market transaction.

Description

Technical Field

[0001] This invention belongs to the field of medium- and long-term reserve multi-cycle trading technology, and relates to a medium- and long-term reserve multi-cycle trading method and related apparatus. Background Technology

[0002] Significant breakthroughs have been achieved in the construction of the electricity market. A preliminary framework of a "unified market and two-tier operation" electricity market has been established, forming an electricity market system based on "medium- and long-term market + spot market + ancillary service market" with "multi-year, yearly, monthly, multi-day, day-ahead, intraday, and real-time" timeframes. With the continuous advancement of the construction of a unified national electricity market, the decisive role of the electricity market in balancing resource allocation at various time scales has become increasingly prominent. The electricity market is increasingly closely linked to power supply security and energy transformation, and medium- and long-term reserve multi-cycle trading has become an important part of electricity production organization. However, with the continuous strengthening of new energy grid connection, the existing power production organization model and power market trading methods cannot meet the power balance guarantee needs of the new power system. The reasons are as follows: First, the existing power balance mechanism mainly relies on the government and market operation institutions (power dispatch centers, medium and long-term reserve multi-cycle trading institutions) to achieve supply and demand balance through power energy trading and dispatch planning. Due to problems such as low ancillary service compensation fees, incomplete participation of ancillary service entities, and ineffective cost transfer to the user side, the incentive for market entities to maintain balance is insufficient, and the awareness and ability of market entities to actively maintain balance are not strong. Second, at present, power balance is mainly achieved through daily power balance, and the power balance guarantee mechanism at the medium and long-term scale is insufficient. New energy currently has limited mechanisms and means to cope with volatility at the medium and long-term scale. Participating in the market faces multiple risks such as price fluctuations, curve fluctuations, deviation assessments, and policy impacts. On the one hand, this is not conducive to the development of new energy, and on the other hand, it accumulates balance problems during the daily balance period, resulting in increased operational pressure.

[0003] Therefore, it is urgent to combine the characteristics of new energy output under the new power system and systematically construct a medium- and long-term reserve trading method under the new power system to fully support the normalized participation of new energy entities in market transactions. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a medium- and long-term reserve multi-cycle trading method and related apparatus. This method and related apparatus can integrate the characteristics of new energy output for electricity market trading.

[0005] To achieve the above objectives, this invention discloses a medium- to long-term standby multi-period trading method, comprising: Obtain the output probability of new energy sources at different time scales, construct a multi-cycle trading system framework based on the output probability of new energy sources at different time scales, and determine the inter-provincial clearing method for medium- and long-term reserve trading cycles based on the multi-cycle trading system framework. Based on the inter-provincial clearing method of the medium- and long-term reserve trading cycle, an objective function and constraints are constructed, and the objective function is solved under the constraints to obtain the clearing data of the medium- and long-term reserve trading cycle. Electricity trading for the medium- and long-term reserve trading cycle is conducted based on the clearing data of the aforementioned medium- and long-term reserve trading cycle.

[0006] Furthermore, the inter-provincial clearing method for the medium- and long-term reserve trading cycle includes at least one of the following: The fixed reserve capacity price is determined by a centralized bidding process, with the contracted electricity price as the bidding unit. Fixed electricity prices are determined by bidding on standby capacity, using a centralized bidding process.

[0007] Furthermore, when the inter-provincial clearing method for the medium- and long-term reserve trading cycle is a fixed reserve capacity price, with the contracted electricity price as the bidding price, and a centralized bidding process is organized, the objective function is:

[0008] The clearing data for the medium- and long-term standby trading cycle includes the winning bid amount of standby capacity from the buyer, the winning bid price of the electricity fulfilled by the buyer, the winning bid amount of standby capacity from the seller, and the winning bid price of the electricity fulfilled by the seller.

[0009] Furthermore, when the inter-provincial clearing method for the medium- and long-term reserve trading cycle is a fixed electricity price, with reserve capacity price as the bidding price, and a centralized bidding process is organized, the objective function is:

[0010] The clearing data for the medium- and long-term standby trading cycle includes the winning bid amount of standby capacity for buyers, the winning bid price of standby capacity for buyers, the winning bid amount of standby capacity for sellers, and the winning bid price of standby capacity for sellers.

[0011] Furthermore, the constraints include at least one of the following: power constraints for the purchaser, power constraints for the seller, maximum external transmission capacity constraints, and available capacity constraints for the channel and combined cross-section.

[0012] This invention discloses a medium- to long-term standby multi-period trading system, comprising: The module is used to obtain the output probability of new energy sources at different time scales, construct a multi-cycle trading system framework based on the output probability of new energy sources at different time scales, and determine the inter-provincial clearing method for the medium- and long-term reserve trading cycle based on the multi-cycle trading system framework. The solution module is used to construct an objective function and constraints based on the inter-provincial clearing method of the medium- and long-term reserve trading cycle, and solve the objective function under the constraints to obtain the clearing data of the medium- and long-term reserve trading cycle. The trading module is used to conduct power trading for the medium- and long-term reserve trading cycle based on the clearing data of the medium- and long-term reserve trading cycle.

[0013] Furthermore, the inter-provincial clearing method for the medium- and long-term reserve trading cycle includes at least one of the following: The fixed reserve capacity price is determined by a centralized bidding process, with the contracted electricity price as the bidding unit. Fixed electricity prices are determined by bidding on standby capacity, using a centralized bidding process.

[0014] Furthermore, when the inter-provincial clearing method for the medium- and long-term reserve trading cycle is a fixed reserve capacity price, with the contracted electricity price as the bidding price, and a centralized bidding process is organized, the objective function is:

[0015] The clearing data for the medium- and long-term standby trading cycle includes the winning bid amount of standby capacity from the buyer, the winning bid price of the electricity fulfilled by the buyer, the winning bid amount of standby capacity from the seller, and the winning bid price of the electricity fulfilled by the seller.

[0016] Furthermore, when the inter-provincial clearing method for the medium- and long-term reserve trading cycle is a fixed electricity price, with reserve capacity price as the bidding price, and a centralized bidding process is organized, the objective function is:

[0017] The clearing data for the medium- and long-term standby trading cycle includes at least one of the following: the amount of standby capacity won by the buyer, the bid price of the standby capacity won by the buyer, the amount of standby capacity won by the seller, and the bid price of the standby capacity won by the seller.

[0018] Furthermore, the constraints include power constraints for the purchaser, power constraints for the seller, maximum external transmission capacity constraints, and available capacity constraints for the channel and combined cross-section.

[0019] The present invention discloses a computer device, including 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 steps of the medium- and long-term standby multi-cycle trading method.

[0020] The present invention discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the medium- and long-term standby multi-cycle trading method.

[0021] The present invention has the following beneficial effects: In practical operation, the medium- and long-term reserve multi-cycle trading method and related apparatus described in this invention construct a multi-cycle trading system framework based on the probability of new energy output at different time scales, and determine the inter-provincial clearing method for different trading cycles. Based on the inter-provincial clearing method of the medium- and long-term reserve trading cycle, the clearing data for the medium- and long-term reserve trading cycle is determined. Power trading for the medium- and long-term reserve trading cycle is then conducted based on the clearing data, thereby achieving the goal of conducting power market trading by comprehensively considering the characteristics of new energy output. This better facilitates the orderly connection between the medium- and long-term, day-ahead, and real-time spot markets, jointly contributing to the supply and demand balance of the power system. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a system structure diagram of the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0026] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0027] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this invention generally indicates that the preceding and following objects have an "or" relationship.

[0028] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0029] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0031] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0032] Example 1 refer to Figure 1 The medium-to-long-term standby multi-period trading method of the present invention includes the following steps: 1) Construct a multi-cycle trading system framework based on the probability characteristics of new energy output at different time scales, including annual, monthly, and intra-month periods; The accuracy rate of daily average electricity output forecasts for renewable energy is less than 50% annually and quarterly, about 65% monthly, about 75% over 15 days, and about 80% over 7 days. This shows that the deviation of renewable energy is significant in the medium to long term. Based on the probabilistic characteristics of renewable energy output in different medium to long term time scales and the existing multi-cycle electricity trading system within years, months, and months, this paper proposes a multi-cycle trading system framework within years, months, and months with the participation of renewable energy entities. In the medium to long term time scale, a new risk-hedging product, "quasi-standard contract," is introduced to lock in the electricity holding volume and price, thereby solving the problems of low accuracy of renewable energy forecasts and high risk of electricity holding. It should be noted that in the multi-cycle trading system framework within a year, month, or month, "within a month" refers to multiple days, such as 7 days. When constructing the multi-cycle trading system framework within a year, the determination of the electricity market and quasi-standard contract market for the next year is organized in advance on an annual basis. Within the year, the determination of the electricity market and quasi-standard contract market for the next month is organized in advance on a monthly basis. Within the month, the determination of the electricity market and quasi-standard contract market for the next multi-day cycle is organized in advance on a multi-day basis, thus forming the multi-cycle trading system framework within a year, month, or month.

[0033] 2) Determine the inter-provincial clearing method for medium- and long-term reserve trading cycles based on the framework of the multi-cycle trading system within the year, month, and month; The inter-provincial clearing methods include a fixed reserve capacity price, with the contracted electricity price as the bidding price, and a centralized bidding method with a fixed electricity price and the reserve capacity price as the bidding price.

[0034] 3) Determine the winning bid amount, winning bid price, and winning bid amount of standby capacity for the purchaser, the winning bid price for standby capacity for the purchaser, and the winning bid price for standby capacity for the seller, based on the aforementioned inter-provincial clearing method; 31) When the proportion of new energy exceeds a preset value, under a fixed reserve capacity price and a centralized bidding system using the contracted electricity price as the bidding price, the objective function is constructed to maximize the social welfare of electricity contract purchase and sale in the inter-provincial standard contract market:

[0035] The constraints are constructed, including the power constraints of the buyer's winning bid, the power constraints of the seller's winning bid, the maximum external transmission capacity constraints, and the available capacity constraints of the channel and the combined cross section.

[0036] The constraint on the power awarded to the buyer is: the sum of the power awarded to the buyer in different transaction paths for each time period shall be less than or equal to the power declared by the buyer in that time period.

[0037] The constraint on the power awarded to the seller is: the sum of the power awarded to the seller in different transaction paths for each time period shall be less than or equal to the power declared by the seller in that time period.

[0038] The maximum transmission capacity constraint is: the sum of the electricity won by the seller in different transaction paths in each time period is less than or equal to the seller's maximum transmission capacity in that time period.

[0039] The available capacity constraints for the channel and the combined cross-section are as follows: .

[0040] Under the constraints, the objective function is solved to obtain the winning bid amount of reserve capacity for the buyer, the winning bid price of the electricity contracted by the buyer, the winning bid amount of reserve capacity for the seller, and the winning bid price of the electricity contracted by the seller, and these are used to conduct medium- and long-term reserve multi-cycle transactions.

[0041] 32) When the proportion of new energy does not exceed a preset value, under a fixed electricity price and a centralized bidding system using reserve capacity price as the bidding price, the objective function is constructed as follows:

[0042] Construct constraints, including power constraints for the purchaser's winning bid, power constraints for the seller's winning bid, maximum external transmission capacity constraints, and available capacity constraints for the channel and joint cross-section. The constraint on the power awarded to the buyer is: the sum of the power awarded to the buyer in different transaction paths for each time period shall be less than or equal to the power declared by the buyer in that time period.

[0043] The constraint on the power awarded to the seller is: the sum of the power awarded to the seller in different transaction paths for each time period shall be less than or equal to the power declared by the seller in that time period.

[0044] The maximum transmission capacity constraint is: the sum of the electricity won by the seller in different transaction paths in each time period is less than or equal to the seller's maximum transmission capacity in that time period.

[0045] The available capacity constraints for the channel and the combined cross-section are as follows:

[0046] Under the constraints, the objective function is solved to obtain the winning bid amount of the buyer's reserve capacity, the winning bid price of the buyer's reserve capacity, the winning bid amount of the seller's reserve capacity, and the winning bid price of the seller's reserve capacity. Based on these, medium- and long-term reserve multi-cycle transactions are carried out to obtain the results of medium- and long-term reserve multi-cycle transactions.

[0047] 4) Settle the contracts for the medium- and long-term standby trading cycle based on the results of the medium- and long-term standby multi-cycle trading.

[0048] 41) When a medium- and long-term standby multi-cycle transaction contract is signed based on the clearing data of the medium- and long-term standby transaction cycle, including the winning bid amount of standby capacity of the buyer, the winning bid price of the electricity performed by the buyer, the winning bid amount of standby capacity of the seller, and the winning bid price of the electricity performed by the seller, the contract performance data must be confirmed and used as settlement data before the start of the next transaction cycle.

[0049] The contract performance data for the medium- and long-term standby trading cycle includes the buyer's contracted electricity volume, the buyer's contracted electricity bid price, the seller's contracted electricity volume, and the seller's contracted electricity bid price.

[0050] Purchaser's settlement cost = Fixed standby capacity price × Purchaser's standby capacity bid amount + Purchaser's performance electricity bid price × Purchaser's performance electricity volume Seller's settlement fee = Fixed standby capacity price × Seller's standby capacity bid amount + Seller's performance electricity bid price × Seller's performance electricity volume.

[0051] 42) When a medium- and long-term standby multi-cycle transaction contract is signed based on the clearing data of the medium- and long-term standby transaction cycle, including the winning bid amount of the buyer's standby capacity, the winning bid price of the buyer's standby capacity, the winning bid amount of the seller's standby capacity, and the winning bid price of the seller's standby capacity, the contract performance data must be confirmed and used as settlement data before the start of the next transaction cycle.

[0052] The contract performance data for the medium- and long-term standby trading cycle includes the buyer's contracted electricity volume, the buyer's winning bid price for standby capacity, the seller's contracted electricity volume, and the seller's winning bid price for standby capacity.

[0053] Purchaser's settlement cost = Purchaser's standby capacity bid price × Purchaser's standby capacity bid quantity + Fixed electricity price × Purchaser's contracted electricity volume Seller's settlement fee = Seller's reserve capacity bid price × Seller's reserve capacity bid quantity + Fixed electricity price × Seller's contracted electricity volume.

[0054] It should be noted that this invention divides the trading methods and trading varieties from a time dimension. The time axis is based on the origin of the coordinate axis and is divided into many years, years, months and days from far to near. First, the electricity market is organized for trading. For the electricity volume traded in the electricity market in each time period, a corresponding standard contract market is organized. Similar to the interconnection relationship between the electricity market and the ancillary service market in different time dimensions, the ancillary service market also connects and follows each other in different time dimensions.

[0055] Example 2 refer to Figure 2 The medium-to-long-term standby multi-period trading system of the present invention includes: The module is used to obtain the probability of new energy output at different time scales, construct a multi-cycle trading system framework within a year, month, and month based on the probability of new energy output at different time scales, and determine the inter-provincial clearing method for the medium- and long-term reserve trading cycle based on the multi-cycle trading system framework within a year, month, and month. The solution module is used to construct an objective function and constraints based on the inter-provincial clearing method of the medium- and long-term reserve trading cycle, and solve the objective function under the constraints to obtain the clearing data of the medium- and long-term reserve trading cycle. The trading module is used to conduct power trading for the medium- and long-term reserve trading cycle based on the clearing data of the medium- and long-term reserve trading cycle.

[0056] In this embodiment, the inter-provincial clearing method for the medium- and long-term reserve trading cycle includes a method of organizing centralized bidding with a fixed reserve capacity price and the contracted electricity price as the bidding price, and a method of organizing centralized bidding with a fixed electricity price and the reserve capacity price as the bidding price.

[0057] In this embodiment, when the inter-provincial clearing method for the medium- and long-term reserve trading cycle is a fixed reserve capacity price, with the contracted electricity price as the bidding price, and a centralized bidding method is organized, the objective function is:

[0058] The clearing data for the medium- and long-term standby trading cycle includes the winning bid amount of standby capacity from the buyer, the winning bid price of the electricity fulfilled by the buyer, the winning bid amount of standby capacity from the seller, and the winning bid price of the electricity fulfilled by the seller.

[0059] In this embodiment, when the inter-provincial clearing method for the medium- and long-term reserve trading cycle is a fixed electricity price, with reserve capacity price as the bidding price, and a centralized bidding method is organized, the objective function is:

[0060] The clearing data for the medium- and long-term standby trading cycle includes the winning bid amount of standby capacity for buyers, the winning bid price of standby capacity for buyers, the winning bid amount of standby capacity for sellers, and the winning bid price of standby capacity for sellers.

[0061] In this embodiment, the constraints include power constraints for the purchaser, power constraints for the seller, maximum external transmission capacity constraints, and available capacity constraints for the channel and combined cross-section.

[0062] The module division in this embodiment is illustrative and represents only one logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in each embodiment of this application can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0063] Example 3 A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the medium- and long-term reserve multi-cycle trading method. For example, the method includes: acquiring the output probability of new energy sources at different time scales; constructing an annual, monthly, and intra-monthly multi-cycle trading system framework based on the new energy output probability at different time scales; determining the inter-provincial clearing method for the medium- and long-term reserve trading cycle based on the annual, monthly, and intra-monthly multi-cycle trading system framework; constructing an objective function and constraints based on the inter-provincial clearing method for the medium- and long-term reserve trading cycle; solving the objective function under the constraints to obtain clearing data for the medium- and long-term reserve trading cycle; and conducting power trading for the medium- and long-term reserve trading cycle based on the clearing data. The memory may include main memory, such as high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus, which can be an industry standard architecture bus, a peripheral component interconnection standard bus, an extended industry standard architecture bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs; specifically, the program may include program code, which includes computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0064] Example 4 A computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the medium- and long-term reserve multi-cycle trading method. For example, the method includes: determining the probability of new energy output at different time scales; constructing an annual, monthly, and intra-monthly multi-cycle trading system framework based on the probability of new energy output at different time scales; determining the inter-provincial clearing method for the medium- and long-term reserve trading cycle based on the annual, monthly, and intra-monthly multi-cycle trading system framework; constructing an objective function and constraints based on the inter-provincial clearing method for the medium- and long-term reserve trading cycle; solving the objective function under the constraints to obtain clearing data for the medium- and long-term reserve trading cycle; and conducting power trading for the medium- and long-term reserve trading cycle based on the clearing data. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0065] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied 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.

[0066] 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.

[0067] 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 1One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] 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.

[0069] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0070] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

[0071] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A medium- to long-term standby multi-period trading method, characterized in that, include: Obtain the output probability of new energy sources at different time scales, construct a multi-cycle trading system framework based on the output probability of new energy sources at different time scales, and determine the inter-provincial clearing method for medium- and long-term reserve trading cycles based on the multi-cycle trading system framework. Based on the inter-provincial clearing method of the medium- and long-term reserve trading cycle, an objective function and constraints are constructed, and the objective function is solved under the constraints to obtain the clearing data of the medium- and long-term reserve trading cycle. Electricity trading for the medium- and long-term reserve trading cycle is conducted based on the clearing data of the aforementioned medium- and long-term reserve trading cycle.

2. The medium-to-long-term standby multi-period trading method according to claim 1, characterized in that, The inter-provincial clearing methods for the medium- and long-term reserve trading cycle include at least one of the following: The fixed reserve capacity price is determined by bidding on the contracted electricity price, and a centralized bidding process is organized. Fixed electricity prices are determined by bidding on standby capacity, using a centralized bidding process.

3. The medium-to-long-term standby multi-period trading method according to claim 2, characterized in that, When the inter-provincial clearing method for the medium- and long-term reserve trading cycle is a fixed reserve capacity price, with the contracted electricity price as the bidding price, and a centralized bidding process is organized, the objective function is: The clearing data for the medium- and long-term standby trading cycle includes the winning bid amount of standby capacity from the buyer, the winning bid price of the electricity fulfilled by the buyer, the winning bid amount of standby capacity from the seller, and the winning bid price of the electricity fulfilled by the seller.

4. The medium-to-long-term standby multi-period trading method according to claim 2, characterized in that, When the inter-provincial clearing method for the medium- and long-term reserve trading cycle is a fixed electricity price, with reserve capacity price as the bidding price, and a centralized bidding process is organized, the objective function is: The clearing data for the medium- and long-term standby trading cycle includes the winning bid amount of standby capacity for buyers, the winning bid price of standby capacity for buyers, the winning bid amount of standby capacity for sellers, and the winning bid price of standby capacity for sellers.

5. The medium-to-long-term standby multi-period trading method according to claim 1, characterized in that, The constraints include at least one of the following: power constraints for the purchaser, power constraints for the seller, maximum external transmission capacity constraints, and available capacity constraints for the channel and combined cross-section.

6. A medium- to long-term standby multi-period trading system, characterized in that, include: The module is used to obtain the output probability of new energy sources at different time scales, construct a multi-cycle trading system framework based on the output probability of new energy sources at different time scales, and determine the inter-provincial clearing method for the medium- and long-term reserve trading cycle based on the multi-cycle trading system framework. The solution module is used to construct an objective function and constraints based on the inter-provincial clearing method of the medium- and long-term reserve trading cycle, and solve the objective function under the constraints to obtain the clearing data of the medium- and long-term reserve trading cycle. The trading module is used to conduct power trading for the medium- and long-term reserve trading cycle based on the clearing data of the medium- and long-term reserve trading cycle.

7. The medium-to-long-term standby multi-period trading system according to claim 6, characterized in that, The inter-provincial clearing methods for the medium- and long-term reserve trading cycle include at least one of the following: The fixed reserve capacity price is determined by a centralized bidding process, with the contracted electricity price as the bidding unit. Fixed electricity prices are determined by bidding on standby capacity, using a centralized bidding process.

8. The medium-to-long-term standby multi-period trading system according to claim 7, characterized in that, When the inter-provincial clearing method for the medium- and long-term reserve trading cycle is a fixed reserve capacity price, with the contracted electricity price as the bidding price, and a centralized bidding process is organized, the objective function is: The settlement data for the medium- and long-term standby trading cycle includes the winning bid amount of standby capacity for the buyer, the winning bid price of the electricity delivered by the buyer, the winning bid amount of standby capacity for the seller, and the winning bid price of the electricity delivered by the seller.

9. The medium-to-long-term standby multi-period trading system according to claim 7, characterized in that, When the inter-provincial clearing method for the medium- and long-term reserve trading cycle is a fixed electricity price, with reserve capacity price as the bidding price, and a centralized bidding process is organized, the objective function is: The clearing data for the medium- and long-term standby trading cycle includes the winning bid amount of standby capacity for buyers, the winning bid price of standby capacity for buyers, the winning bid amount of standby capacity for sellers, and the winning bid price of standby capacity for sellers.

10. The medium-to-long-term standby multi-period trading system according to claim 6, characterized in that, The constraints include at least one of the following: power constraints for the purchaser, power constraints for the seller, maximum external transmission capacity constraints, and available capacity constraints for the channel and combined cross-section.

11. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the medium-to-long-term standby multi-cycle trading method as described in any one of claims 1-5.

12. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the medium-to-long-term standby multi-cycle trading method as described in any one of claims 1-5.

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