Centralized bidding, quantity reporting and quoting method and device for green transaction of wind power plant and computer equipment

Abstract

The invention relates to the field of green power transaction, and discloses a wind power plant green transaction centralized bidding, quantity reporting and quoting method and device and computer equipment, which can input bidding related data of a wind power plant into a constructed trading volume price model for trading volume price prediction. And obtaining a trading volume price base line and a trading volume price optimal line output by the trading volume price model. Wherein the bidding related data at least comprises a government supportability electricity price. And determining the final declaration price of the wind power plant according to the government supportability electricity price and a set quotation strategy. Based on the final declaration price and the trading volume price base line, determining a volume declaration base line value of the wind power plant; and based on the historical trading price interval and the trading volume price optimal line, determining a preliminary reporting interval of the wind power plant. And determining a final quantity reporting interval of the wind power plant according to the quantity reporting base line value and the initial quantity reporting interval of the wind power plant. According to the invention, the determination efficiency of the wind power plant green transaction centralized bidding quotation quantity reporting data can be improved.

Description

Technical Field

[0001] The present invention relates to the field of green power trading, and in particular, to a method, device, and computer equipment for centralized competitive bidding for quantity and price in green trading of a wind farm. Background Art

[0002] Medium- and long-term centralized competitive bidding is one of the main forms of green power trading. Currently, most of the wind farms participating in green power trading are non-market-oriented new energy power stations that have not entered the power spot trading.

[0003] In the centralized competitive bidding for green trading, the conditions faced by wind farms are relatively complex, mainly including the following situations: The medium- and long-term power output of wind farms faces great uncertainty; before the end of the competitive bidding, the quotation and quantity strategies of other green power participants are unknown, and there is only one competitive bidding opportunity and no multiple attempts are possible; due to the uncertainty of wind power generation, a relatively high proportion of compensation needs to be given to the power purchasers when the medium- and long-term contracts cannot be fulfilled.

[0004] Facing the complex conditions of wind farms participating in centralized competitive bidding for green trading, the related technologies have low efficiency in determining quotation and quantity data. Summary of the Invention

[0005] The present invention provides a method, device, and computer equipment for centralized competitive bidding for quantity and price in green trading of a wind farm, so as to solve the defect of low efficiency in determining quotation and quantity data in the related technologies and improve the efficiency of determining quotation and quantity data.

[0006] In a first aspect, the present invention provides a method for centralized competitive bidding for quantity and price in green trading of a wind farm, including: Inputting the bidding-related data of the wind farm into the constructed trading volume-price model for trading volume-price prediction, and obtaining the trading volume-price bottom line and the trading volume-price optimal line output by the trading volume-price model; wherein, at least the government-guaranteed electricity price is included in the bidding-related data; Determining the final bid price of the wind farm according to the government-guaranteed electricity price and the set quotation strategy; Based on the final bid price and the trading volume-price bottom line, determining the bottom value of the quantity to be reported of the wind farm; and based on the historical transaction price range and the trading volume-price optimal line, determining the preliminary quantity range to be reported of the wind farm; Determining the final quantity range to be reported of the wind farm according to the bottom value of the quantity to be reported and the preliminary quantity range of the wind farm.

[0007] Optionally, the determining the final bid price of the wind farm according to the government-guaranteed electricity price and the set quotation strategy includes: Randomly selecting a positive value in the preset positive price increase range, adding the selected positive value to the government-guaranteed electricity price to obtain the lowest allowable bid price of the wind farm; When the set quotation strategy is that the power purchaser proposes the most unfavorable power purchase quotation for the wind farm, the lowest allowable declared price is determined as the final declared price of the wind farm.

[0008] Optionally, the trading volume and price bottom line is a monotonically increasing curve in which the trading volume bottom line value changes with the transaction price; Determining the declared volume bottom line value of the wind farm based on the final declared price and the trading volume and price bottom line includes: Based on the final declared price, find the corresponding trading volume bottom line value in the trading volume and price bottom line; Determine the integer part of the found trading volume bottom line value as the declared volume bottom line value of the wind farm.

[0009] Optionally, the historical transaction price range is an interval not less than the first transaction price and not greater than the second transaction price, and the trading volume and price optimal line is a monotonically increasing curve in which the optimal trading volume value changes with the transaction price; Determining the preliminary declared volume range of the wind farm based on the historical transaction price range and the trading volume and price optimal line includes: Determine the first optimal trading volume value according to the first value to be processed, and determine the second optimal trading volume value according to the second value to be processed; based on the first transaction price in the historical transaction price range, find the corresponding first optimal trading volume value in the trading volume and price optimal line, and determine the integer part of the first optimal trading volume value as the first preliminary declared volume; and, based on the second transaction price in the historical transaction price range, find the corresponding second optimal trading volume value in the trading volume and price optimal line, and determine the integer part of the second optimal trading volume value as the second preliminary declared volume; Construct an interval not less than the first preliminary declared volume and not greater than the second preliminary declared volume, and determine the constructed interval as the preliminary declared volume range of the wind farm.

[0010] Optionally, determining the final declared volume range of the wind farm according to the declared volume bottom line value and the preliminary declared volume range of the wind farm includes: If the declared volume bottom line value is less than the first preliminary declared volume in the preliminary declared volume range, then determine the interval less than the declared volume bottom line value as the final declared volume range; If the declared volume bottom line value is greater than or equal to the first preliminary declared volume in the preliminary declared volume range and the declared volume bottom line value is less than the second preliminary declared volume in the preliminary declared volume range, then determine the interval greater than or equal to the first preliminary declared volume and less than or equal to the declared volume bottom line value as the final declared volume range; If the bottom line value of the reported quantity is greater than the second preliminary reported quantity in the preliminary reported quantity range, then determine the second preliminary reported quantity as the final reported quantity range.

[0011] Optionally, the bidding-related data further includes the probability distribution of the active power output and the compensation cost coefficient of the wind farm in the future period.

[0012] Optionally, after determining the final reported quantity range of the wind farm according to the bottom line value of the reported quantity and the preliminary reported quantity range of the wind farm, the method further includes: Determine the final reported quantity in the final reported quantity range based on a set aggressive bidding strategy or a conservative bidding strategy; Generate a bidding message according to the final reported quantity and the final bid price, and send the bidding message to the trading center for centralized green trading bidding; wherein, the bidding message includes the final reported quantity and the final bid price.

[0013] Optionally, after sending the bidding message to the trading center for centralized green trading bidding, the method further includes: Receive the final transaction price sent by the trading center when the wind farm wins the bid; Input the final transaction price and the final reported quantity into the volume-price model for revenue prediction, and obtain the expected revenue average value output by the volume-price model; When the wind farm fails to win the bid, determine the expected revenue average value according to the government guaranteed electricity price and the final reported quantity.

[0014] In a third aspect, the present invention provides a computer device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the wind farm green trading centralized bidding and quoting method according to the first aspect or any corresponding embodiment thereof.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the wind farm green trading centralized bidding and quoting method according to the first aspect or any corresponding embodiment thereof.

[0016] The method, device and computer equipment for centralized competitive bidding of volume and price in green trading of a wind farm provided by the present invention can input the bidding-related data of the wind farm into the constructed trading volume-price model for trading volume-price prediction, and obtain the trading volume-price bottom line and the trading volume-price optimal line output by the trading volume-price model. Among them, the bidding-related data at least includes the government-guaranteed electricity price. The final declared price of the wind farm is determined according to the government-guaranteed electricity price and the set bidding strategy. Based on the final declared price and the trading volume-price bottom line, the bottom value of the declared volume of the wind farm is determined; and, based on the historical transaction price range and the trading volume-price optimal line, the preliminary declared volume range of the wind farm is determined. According to the bottom value of the declared volume and the preliminary declared volume range of the wind farm, the final declared volume range of the wind farm is determined. The present invention can effectively determine the final declared price and the final declared volume range when the wind farm conducts centralized competitive bidding for green trading, and improve the determination efficiency of the bidding volume and price data during the centralized competitive bidding for green trading of the wind farm. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a flowchart of a method for centralized competitive bidding of volume and price in green trading of a wind farm provided by an embodiment of the present invention; Figure 2 It is a schematic diagram of a trading volume-price curve provided by an embodiment of the present invention; Figure 3 It is a flowchart of determining each data point in the trading volume-price bottom line provided by an embodiment of the present invention; Figure 4 It is a schematic diagram of a bidding matrix provided by an embodiment of the present invention; Figure 5 It is a probability distribution diagram of the output of a wind farm provided by an embodiment of the present invention; Figure 6 It is a schematic structural diagram of a device for centralized competitive bidding of volume and price in green trading of a wind farm provided by an embodiment of the present invention; Figure 7 It is a schematic structural diagram of a computer device provided by an embodiment of the present invention. Detailed Embodiments

[0019] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention in conjunction with the accompanying drawings in the present invention. Apparently, the described embodiments are part of the embodiments of the present invention, rather than all of them. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope protected by the present invention.

[0020] The following will describe the centralized competitive bidding volume and price reporting method for green trading in a wind farm in conjunction with Figures 1-5 to describe the centralized competitive bidding volume and price reporting method for green trading in a wind farm of the present invention.

[0021] As Figure 1 shown, the first centralized competitive bidding volume and price reporting method for green trading in a wind farm is proposed in this embodiment. The method may include the following steps: S101. Input the bidding-related data of the wind farm into the constructed trading volume and price model for trading volume and price prediction to obtain the trading volume and price bottom line and the trading volume and price optimal line output by the trading volume and price model; wherein, the bidding-related data at least includes the government-guaranteed electricity price.

[0022] Optionally, the bidding-related data further includes the probability distribution of the active power output of the wind farm in the future time period and the compensation cost coefficient.

[0023] Specifically, the bidding-related data of the wind farm may include the government-guaranteed electricity price and the probability distribution of the active power output of the wind farm in a certain future time period, and may also include the compensation cost coefficient for the part of the electricity supply that the wind farm wins the bid but fails to complete as agreed.

[0024] Specifically, this embodiment may first construct a trading volume and price model. This embodiment may set as the successful bidding probability of the wind farm, as the probability of unsuccessful bidding; the active power output of the wind farm in a certain future time period is , the specific value is unknown, but it conforms to a certain probability distribution ; the government-guaranteed purchase electricity price is ; the trading volume of the wind farm is , the transaction price is ; the compensation cost coefficient for the part of the electricity supply that the wind farm wins the bid but fails to complete as agreed is . The revenue of the wind farm in this time period can be expressed as: --------Formula (1) Then assume that its revenue when the bidding is successful and its active power output is greater than the trading volume is . In this case, the revenue can be divided into two parts. One part is from Generated at a price of Another part is generated from the part exceeding the contract provisions Generated at a price of At this time, the revenue can be expressed as: ---------- Formula (2) Next, assume that its bid is successful but its active power output Is less than the transaction volume The revenue at this time is In this case, the wind farm needs to compensate the power purchaser for the part that fails to fulfill the contract. At this time, the revenue can be expressed as: ------- Formula (3) On the premise that the bid is successful, the active power output Is greater than or less than the transaction volume Depends on The probability distribution of And the transaction volume value . Let Be the probability of being less than the transaction volume It can be expressed as: -------- Formula (4) On the premise that the bid is successful, the revenue Can be expressed as: -------- Formula (5) Further considering the probability of successful bidding, the complete expression of the wind farm revenue can be expressed as: ---------------- Formula (6) Before the bidding ends, the transaction price and volume strategies of other green power participants are unknown, and there is only one bidding opportunity and multiple probes are not allowed. In this case, it is reasonable to relax the probability of successful bidding To a 0-1 integer variable, that is, the bidding result is divided into two results: successful or unsuccessful. When , ; When , . For the discussion of the bidding results, further explanations will be given in the bidding strategies of the power seller and the power purchaser.

[0025] It should be noted that in this embodiment, the above formulas (1) to (5) can be collectively determined as the transaction price and volume model.

[0026] Specifically, in this embodiment, the data related to the bidding of the wind farm can be input into the constructed trading volume and price model for predicting the trading volume and price, and the bottom line of the trading volume and price and the optimal line of the trading volume and price output by the trading volume and price model can be obtained.

[0027] S102. Determine the final bid price of the wind farm according to the government's guaranteed electricity price and the set bidding strategy.

[0028] It should be noted that in this embodiment, step S101 can be executed first, and then step S102 can be executed, as Figure 1 shown. In this embodiment, step S102 can also be executed first, and then step S101 can be executed. Of course, in this embodiment, step S101 and step S102 can also be executed simultaneously.

[0029] Optionally, in other centralized competitive bidding methods for green trading of wind farms proposed in this embodiment, step S102 may include: Randomly select a positive value in the preset positive price increase interval, add the selected positive value to the government's guaranteed electricity price to obtain the minimum allowable bid price of the wind farm; When the set bidding strategy is that it is assumed that the power purchaser proposes the most unfavorable power purchase bid price for the wind farm, determine the minimum allowable bid price of the wind farm as the final bid price.

[0030] It should be noted that to achieve successful bidding, this embodiment can refer to the government's guaranteed acquisition electricity price to determine the lowest bid price that the wind farm can accept, that is, the minimum allowable bid price .

[0031] Specifically, in this embodiment, a technical person can set a positive price increase interval for slightly increasing the price on the basis of the government's guaranteed electricity price, randomly select a positive value in the positive price increase interval, add the selected positive value to the government's guaranteed electricity price, and obtain the corresponding value as the minimum allowable bid price of the wind farm.

[0032] It should be noted that the positive price increase interval can be set by a technical person according to the actual situation. For example, the positive price increase interval is set to the interval from 0.003 yuan / kWh to 0.008 yuan / kWh. For example, when the government's guaranteed electricity price is 0.332 yuan / kWh and the positive value randomly selected from the positive price increase interval is 0.003, the minimum allowable bid price of the wind farm is 0.335 yuan / kWh.

[0033] Specifically, considering the most unfavorable bid price that the wind farm may face, that is, the highest bid price of the power purchaser is only slightly greater than or equal to , in this case, this embodiment can determine the transaction price equal to . At this time, this embodiment can determine the minimum allowable bid price of the wind farm Determine the final declared price for the wind farm.

[0034] S103. Based on the final declared price and the bottom line of the trading volume price, determine the bottom line value of the declared volume for the wind farm.

[0035] Specifically, in this embodiment, after determining the final declared price and the bottom line of the trading volume price, the bottom line value of the declared volume for the wind farm can be determined according to the final declared price and the bottom line of the trading volume price.

[0036] Optionally, the bottom line of the trading volume price is a monotonically increasing curve in which the bottom line value of the trading volume changes with the transaction price. Step S103 may include: Based on the final declared price, find the corresponding bottom line value of the trading volume in the bottom line of the trading volume price; Determine the integer part of the found bottom line value of the trading volume as the bottom line value of the declared volume for the wind farm.

[0037] Such as Figure 2 The blue curve shown is the bottom line of the trading volume price. The bottom line of the trading volume price is a monotonically increasing curve used to describe the change of the bottom line value of the trading volume of the wind farm with the transaction price. There is a positive correlation between the bottom line value of the trading volume and the transaction price. In the bottom line of the trading volume price, each transaction price has a unique corresponding bottom line value of the trading volume.

[0038] Specifically, in this embodiment, according to the final declared price, the corresponding bottom line value of the trading volume in the bottom line of the trading volume price can be found, and then the integer part of the found bottom line value of the trading volume is determined as the bottom line value of the declared volume for the wind farm. For example, when the found bottom line value of the trading volume is 50.5, 50 can be determined as the bottom line value of the declared volume for the wind farm.

[0039] S104. Based on the historical transaction price range and the optimal line of the trading volume price, determine the preliminary declared volume range for the wind farm.

[0040] Specifically, in this embodiment, the historical transaction price range released by the trading center for the centralized call auction of green trading can be obtained first.

[0041] Specifically, in this embodiment, after determining the historical transaction price range and the optimal line of the trading volume price, the preliminary declared volume range for the wind farm can be determined according to the historical transaction price range and the optimal line of the trading volume price.

[0042] Optionally, the historical transaction price range is an interval not less than the first transaction price and not greater than the second transaction price, and the optimal line of the trading volume price is a monotonically increasing curve in which the optimal value of the trading volume changes with the transaction price. Step S104 may include: Based on the first transaction price in the historical transaction price range, find the corresponding first optimal trading volume value in the trading volume-price optimal line, and determine the integer part of the first optimal trading volume value as the first preliminary reported volume; and, based on the second transaction price in the historical transaction price range, find the corresponding second optimal trading volume value in the trading volume-price optimal line, and determine the integer part of the second optimal trading volume value as the second preliminary reported volume; Construct an interval that is not less than the first preliminary reported volume and not greater than the second preliminary reported volume, and determine the constructed interval as the preliminary reported volume interval of the wind farm.

[0043] As Figure 2 shown by the red curve, the trading volume-price optimal line is a monotonically increasing curve used to describe the change of the optimal trading volume value of the wind farm with the change of the transaction price. There is a positive correlation between the optimal trading volume value and the transaction price. In the trading volume-price optimal line, each transaction price has a unique corresponding optimal trading volume value.

[0044] It should be noted that the problem solved by the trading volume-price optimal line is to find a reported volume for each transaction price to maximize the profit. Due to the existence of the risk of non-performance, for the same transaction price, as the trading volume increases, the profit first increases and then decreases. That is to say, the trading volume-price bottom line (the maximum amount that should be reported) is always greater than the trading volume-price optimal line.

[0045] Specifically, in this embodiment, the first optimal trading volume value can be found in the trading volume-price optimal line according to the first transaction price in the historical transaction price range, and the second optimal trading volume value can be found in the trading volume-price optimal line according to the second transaction price in the historical transaction price range.

[0046] After that, the integer parts of the first optimal trading volume value and the second optimal trading volume value can be determined as the first preliminary reported volume and the second preliminary reported volume respectively in this embodiment.

[0047] Specifically, in this embodiment, after determining the first preliminary reported volume and the second preliminary reported volume, an interval that is not less than the first preliminary reported volume and not greater than the second preliminary reported volume can be constructed, and the constructed interval can be determined as the preliminary reported volume interval of the wind farm.

[0048] It should be noted that in this embodiment, after finding the trading volume bottom line value, the first optimal trading volume value or the second optimal trading volume value, it can be rounded down to determine the corresponding reported volume bottom line value, the first preliminary reported volume or the second preliminary reported volume. Specifically, in other wind farm green trading call auction reported volume and price quotation methods proposed in this embodiment, determining the target integer value according to the volume to be processed includes: If the volume to be processed is an integer, directly use the volume to be processed as the target integer value; If the volume to be processed is not an integer, determine the integer value that is closest to and less than the volume to be processed, and use it as the target integer value. Wherein, the volume to be processed is the volume bottom line value, the first optimal volume value or the second optimal volume value found according to the final bid price. When the volume to be processed is the volume bottom line value found from the volume price bottom line according to the final bid price, the target integer value is the reported volume bottom line value.

[0049] When the volume to be processed is the first optimal volume value, the target integer value is the first initial reported volume; when the volume to be processed is the second optimal volume value, the target integer value is the second initial reported volume.

[0050] It should be noted that in this embodiment, the volume bottom line value, the first optimal volume value, and the second optimal volume value found according to the final bid price can be used as the above-mentioned volume to be processed respectively, and the corresponding target integer value can be determined according to the above-mentioned volume to be processed. At this time, the reported volume bottom line value, the first preliminary reported volume, and the second preliminary reported volume can be determined. For example, in this embodiment, the volume bottom line value found according to the final bid price can be used as the volume to be processed, and it is judged whether the volume to be processed is an integer. If the volume to be processed is an integer, the volume to be processed can be directly used as the target integer value, that is, the reported volume bottom line value. If the volume to be processed is not an integer, the integer closest to and less than the volume to be processed can be determined as the target integer value, that is, the reported volume bottom line value.

[0051] S105. Determine the final reported volume range of the wind farm according to the reported volume bottom line value and the preliminary reported volume range of the wind farm.

[0052] Specifically, in this embodiment, after determining the reported volume bottom line value and the preliminary reported volume range of the wind farm, the final reported volume range of the wind farm can be determined according to the reported volume bottom line value and the preliminary reported volume range of the wind farm.

[0053] Optionally, in other wind farm green trading call auction volume quoting methods proposed in this embodiment, step S105 may include: If the reported volume bottom line value is less than the first preliminary reported volume in the preliminary reported volume range, determine the range less than the reported volume bottom line value as the final reported volume range. If the reported volume bottom line value is greater than or equal to the first preliminary reported volume in the preliminary reported volume range and less than the second preliminary reported volume in the preliminary reported volume range, determine the range greater than or equal to the first preliminary reported volume and less than or equal to the reported volume bottom line value as the final reported volume range. If the reported volume bottom line value is greater than the second preliminary reported volume in the preliminary reported volume range, determine the second preliminary reported volume as the final reported volume range.

[0054] Specifically, in this embodiment, the first preliminary bid volume and the second preliminary bid volume in the preliminary bid volume range can be compared with the bid volume bottom line value. When the bid volume bottom line value is less than the first preliminary bid volume, this embodiment can construct an interval less than the bid volume bottom line value and determine this interval as the final bid volume range of the wind farm.

[0055] Among them, when the bid volume bottom line value is not less than the first preliminary bid volume and is less than the second preliminary bid volume, this embodiment can construct an interval greater than or equal to the first preliminary bid volume and less than or equal to the bid volume bottom line value and determine this interval as the final bid volume range of the wind farm.

[0056] Among them, when the bid volume bottom line value is greater than the second preliminary bid volume, this embodiment can directly determine the second preliminary bid volume as the final bid volume range. At this time, the final bid volume range only contains one value, which is the second preliminary bid volume.

[0057] It should be noted that by executing steps S101 to S105, this embodiment can effectively determine the final bid price and the final bid volume range when the wind farm conducts centralized bidding for green trading, effectively improving the determination efficiency of bid price and bid volume data and the success rate of bidding.

[0058] The method for centralized bidding of bid volume and bid price for green trading of wind farms proposed in this embodiment can input the bid volume and bid price related data of the wind farm into the constructed trading volume-price model for trading volume-price prediction, and obtain the trading volume-price bottom line and the trading volume-price optimal line output by the trading volume-price model. Among them, the bid volume and bid price related data at least includes the government guaranteed electricity price. The final bid price of the wind farm is determined according to the government guaranteed electricity price and the set bidding strategy. Based on the final bid price and the trading volume-price bottom line, the bid volume bottom line value of the wind farm is determined; and, based on the historical transaction price range and the trading volume-price optimal line, the preliminary bid volume range of the wind farm is determined. According to the bid volume bottom line value and the preliminary bid volume range of the wind farm, the final bid volume range of the wind farm is determined. This embodiment can effectively determine the final bid price and the final bid volume range when the wind farm conducts centralized bidding for green trading, and improve the determination efficiency of bid price and bid volume data when the wind farm participates in centralized bidding for green trading.

[0059] It should be noted that the characteristics of centralized bidding for green power trading are as follows: (1) There are multiple power sellers and power buyers in the transaction, and both the buying and selling parties participating in the centralized transaction are involved; (2) Each declarant knows its own bid volume and bid price, but does not know the bid volume and price of other declarants; (3) The clearing is carried out according to the overall price bidding matching method. The bids of power sellers are sorted from low to high, and the bids of power buyers are sorted from high to low to form a clearing sequence. The declared prices and electricity quantities of both parties are matched in turn, and the clearing is carried out. The overall transaction price of each trading pair is formed by the average value of the bids of the power purchase and sale parties; (4) When there is no intersection between the bid curves of power sellers and the bid curves of power buyers, and the bids of power buyers are always less than the bids of power sellers, there is no trading volume.

[0060] Due to various conditional restrictions in the related technologies, it is somewhat difficult for a wind farm to obtain a centralized bidding contract from green power trading and make a profit. This embodiment can help increase the transaction probability of the wind farm and increase the revenue.

[0061] In practical applications, the trading volume and price model can be used to describe the functional relationship between the revenue of a wind farm participating in green power trading and various factors. In the trading volume and price model, conforms to a certain probability distribution, , , and are jointly determined by the bidding behaviors of the power purchaser and the power seller.

[0062] For a wind farm, the first thing to ensure when participating in green power trading is to avoid losses caused by participating in green power trading, and then to obtain the maximum possible revenue on this premise. Further, since the variables in the above formula (5) are interrelated, a reasonable solution idea is to first determine one value of the trading volume and the transaction price, and then further determine the other value.

[0063] Figure 3 For the determination process of each data point in the trading volume and price bottom line, to avoid losses caused by participating in green power trading, regardless of whether the bidding is successful, the mean value of should be greater than or equal to the mean value of . Solving for the transaction price at different trading volumes can delimit the declared bottom line , that is, when exceeding this bottom line, even if the bidding is successful, it will lead to a reduction in the mean revenue. and are the upper and lower limits of the declared trading volume respectively. Among them, are the declared volume bottom line value and the transaction price of the th data point in the trading volume and price bottom line respectively. In Figure 3 , Q1 represents , Q1,1 represents , Pr(Q0 < Q1) represents , P1 represents , P0 represents , R0 represents , E(R0) represents , R3 represents , E(R3) represents , Q1,n represents , and Formula (4) and Formula (5) respectively represent the above Formula (4) and Formula (5). ​​

[0064] According to Figure 3 the strategy of first determining the trading volume and then cyclically determining the transaction price as shown, the bottom line of the trading volume and transaction price can be obtained, but the volume-price combination with the maximum profit cannot be obtained. The reason is that when the trading volume is determined, the higher the transaction price, although is larger, it is impossible to judge the value. Therefore, this embodiment can adopt the strategy of first determining the transaction price and then the trading volume to determine the optimal profit curve . Compared with the strategy of first determining the trading volume and then cyclically determining the transaction price, the strategy of first determining the transaction price and then the trading volume makes the probability of not being able to complete the contract-agreed quantity continuously increase during the process of the internal loop of the trading volume, and the profit first increases and then decreases. For the strategy of first determining the transaction price and then the trading volume, for any transaction price, there will be an optimal trading volume.

[0065] This embodiment determines the bottom line of the trading volume and price and the optimal line of the trading volume and price through the strategy of first determining the trading volume and then the transaction price and the strategy of first determining the transaction price and then the trading volume respectively. The bottom line of the trading volume and price means that regardless of whether the bidding is successful or not, at the selected trading volume, the wind farm should not further reduce the transaction price; the optimal line of the trading volume and price means that at the selected transaction price, it is impossible to further increase the profit by changing the trading volume.

[0066] Specifically, this embodiment can take the wind farm as seller A, and the other sellers participating in the same-time bidding as seller B. Analyze the profits of the sellers in the form of a payoff matrix. For the convenience of expression, assume that there are only three strategies for the sellers' quotes, namely low price, medium price, and high price. Among them, the possible quote strategies for seller A are low price, medium price, and high price, and the possible quote strategies for seller B are medium price and high price. Their bidding matrix is as shown in Figure 4 the following.

[0067] It can be seen from the bidding matrix that seller A can succeed in the bidding in five combinations, which are (low price, medium price), (low price, high price), (medium price, medium price), (medium price, high price), and (high price, high price) respectively. The bidding results are (1, 0), (1, 0), (1, 1), (1, 0), and (1, 1) respectively, where 1 represents successful bidding and 0 represents failed bidding. When both A and B succeed in the bidding, the contract quantity needs to be divided equally according to the declared quantity. As a single wind farm, A is unable to compare with the overall B of other wind farms in terms of volume, and at this time, the contract share that A can obtain will be very small. In addition, it is obviously unrealistic to expect to quote a medium price while expecting seller B to quote a high price. To sum up, from the perspective of A, in order to succeed in the bidding, quoting a low price is a suitable strategy.

[0068] Since the asking price of Seller A is low, all electricity is cleared. Seller B can be further split into a separate wind farm and the remaining wind farm combination, and analyzed according to the bidding matrix of Seller A and B. Finally, for successful bidding, the strategy of each seller is the lowest asking price they can accept, rather than the average price or the highest price. All sellers participating in green electricity trading are non-market entities, and the lowest asking price each can accept should refer to the government-guaranteed electricity price. It is determined. The bidding strategy of the buyer is exactly the opposite of that of the seller. For successful bidding, the strategy of the buyer is the highest asking price they can accept, not the average price or the lowest price.

[0069] Suppose there are M groups of sellers and buyers participating in the centralized bidding during a certain period and the prices of each seller are sorted from low to high as , and the prices of each buyer are sorted from high to low as . The first transaction price achieved during this period is: -------------Formula (7) As shown in Formula (7), the transaction price is jointly determined by the asking prices declared by all sellers and the asking prices declared by the buyers. However, a range can be estimated based on the bidding history. In the bidding strategies of the sellers and buyers, is determined by the position of the wind farm in the asking prices declared by all sellers for electricity sales. Either the bidding is successful , or it is not successful . According to the analysis structure of the bidding strategies of the sellers and buyers, in order to succeed in the bidding, the declared electricity price of the wind farm should be equal to the government-guaranteed electricity price . Considering the risk of non-performance, the declared electricity price should be slightly higher than , and the specific declared price depends on the trader.

[0070] The model solution part is used to solve the problem: after the trader determines the declared electricity price, give a suggestion on the declared quantity. The bottom line of the transaction volume and price solves the problem: in the case where the declared electricity price is the same as the transaction price, to prevent the profit from being less than that in the case of unsuccessful declaration, calculate the maximum electricity quantity that should be declared for a given transaction price. The optimal line of the transaction volume and price solves the problem: for each transaction price, find a declared quantity to make the profit optimal.

[0071] Sellers and buyers participating in the centralized transaction cannot accurately obtain the average transaction price before the transaction is completed. At the same time, to protect the privacy and trading strategies of each trading party, the seller cannot obtain the details of the transaction price other than the successful trading of its own bidding. The average transaction price of the entire transaction It is the weighted average value within the province and between provinces of the transaction prices in each period, with the weights being the trading volumes corresponding to each transaction. Although the transaction details cannot be obtained, before the transaction is completed, it is known. However, the information on the price range of historical transaction prices is public information. Based on this information, we can assume that if the bidding is successful, the transaction price will probably fall within the range of historical transaction prices. Based on this assumption, the volume-price bottom line and the volume-price optimal line, the wind farm can further determine its own reporting volume range, that is, the volume reporting strategy.

[0072] In this embodiment, under the framework of the centralized call auction for green power trading, considering the objective condition of the uncertainty of the wind farm output, analyzing the strategies of the power purchasers and the bidding strategies of other power sellers, a method for centralized call auction volume reporting and price quoting applicable to wind farms in green power trading is proposed to help wind farms obtain centralized call auction contracts and make profits.

[0073] This embodiment can establish a volume-price model based on probability statistical analysis, considering the uncertainty of the wind farm output, to describe the functional relationship between the benefits of the wind farm participating in green power trading and various factors. By using the methods of determining the volume first and then the price and determining the price first and then the volume, the volume-price bottom line and the volume-price optimal line are determined respectively. Analyze the bidding strategies of power sellers and power purchasers, and propose a reasonable price reporting strategy for wind farms. Using the volume-price bottom line and the volume-price optimal line, combined with the historical average transaction price, a reasonable electricity volume reporting strategy for wind farms is proposed.

[0074] To better introduce the above execution process, this embodiment proposes Example 1 for introduction.

[0075] Example 1: The government guaranteed purchase price for wind power that has not entered the spot market is 0.332 yuan per kWh. The range of the historical average transaction price is between 0.350 yuan per kWh and 0.360 yuan per kWh. The compensation cost coefficient is 1.2. A certain wind farm has the qualification for green power trading, and the probability distribution of its wind farm output can be as Figure 5 shown, which can be obtained from historical data, but no special requirements are needed for the specific probability distribution. This wind farm participated in an inter-provincial green power transaction. The reporting electricity volume unit is megawatt-hour, and the data is 1 megawatt-hour, which is an integer multiple of 1 megawatt-hour. The volume reporting and price quoting strategy of this wind farm for a certain period is as follows: In terms of price quoting, consider the historical average green power transaction price plus the estimated value of the green certificate price attached to the green power for price quoting. In terms of volume reporting, consider its own power generation capacity. To prevent the inability to perform the contract in case of successful bidding, the reported volume is slightly less than the average power generation. This embodiment can first determine the volume-price bottom line and the volume-price optimal line according to the volume-price model, as Figure 2 shown.

[0076] After that, according to the bidding strategies of the electricity seller and the electricity buyer, i.e., the set quotation strategy, the wind farm should declare at as low a price as possible, but should not be lower than the reference government guaranteed acquisition electricity price. The final declared price is determined to be 0.335 yuan / kWh, slightly higher than the government guaranteed acquisition electricity price, in order to expect a successful bid. To increase the possibility of a successful bid, the quotation can be further reduced.

[0077] Considering the worst-case quotation situation of the electricity buyer that the wind farm may face, based on the final declared price, the bottom line of the transaction volume price, and the rule that the declared volume is an integer multiple of 1 MWh, the bottom line value of the declared volume is determined to be 50 MWh. Considering the historical transaction price range, based on the optimal line of the transaction volume price and the optimal line of the transaction volume price, the preliminary declared volume range of the wind farm is determined to be [47, 51]. After that, according to the bottom line value of the declared volume and the preliminary declared volume range of the wind farm, the final declared volume range of the wind farm is determined.

[0078] Based on Figure 1 , this embodiment proposes a second centralized bidding method for the declared volume and quotation of green transactions in wind farms. After step S105, this method may further include: Based on the set aggressive bidding strategy or conservative bidding strategy, determine the final declared volume within the final declared volume range; Generate a bidding message according to the final declared volume and the final declared price, and send the bidding message to the trading center for centralized bidding of green transactions; wherein, the bidding message includes the final declared volume and the final declared price.

[0079] Specifically, after determining the final declared volume range, this embodiment can select the final declared volume within the final declared volume range according to the aggressive bidding strategy or the conservative bidding strategy. When adopting the aggressive bidding strategy, this embodiment can determine a larger declared volume value within the final declared volume range as the final declared volume to increase the expected revenue. When adopting the conservative bidding strategy, this embodiment can determine a smaller declared volume value within the final declared volume range as the final declared volume to increase the success rate of the bid.

[0080] Among them, this embodiment can generate a bidding message carrying the final declared volume and the final declared price according to the final declared volume and the final declared price, and send the bidding message to the trading center for centralized bidding of green transactions in wind farms.

[0081] Optionally, after sending the bidding message to the trading center for centralized bidding of green transactions, this method may further include: Receive the final transaction price sent by the trading center when the wind farm's bid is successful; Input the final transaction price and the final declared volume into the transaction volume-price model for revenue prediction, and obtain the average expected revenue output by the transaction volume-price model; When the wind farm's bid fails, determine the average expected revenue according to the government guaranteed electricity price and the final declared volume.

[0082] Specifically, in this embodiment, when the wind farm wins the auction, the final transaction price and the final reported quantity sent by the trading center can be input into the trading volume-price model for revenue prediction to obtain the expected revenue mean output by the trading volume-price model. In this embodiment, when the wind farm loses the auction, the expected revenue mean can be calculated based on the government-guaranteed electricity price and the final reported quantity. For example, in the above Example 1, when the final transaction price is within the historical transaction range, the expected revenue mean should be between 28,162 yuan and 28,668 yuan. When the auction is not won successfully, the expected revenue mean is 27,438 yuan. Compared with the situation where the auction is not won successfully, the minimum increase in the expected revenue mean provided by the declaration strategy of the present invention is 724 yuan.

[0083] It should be noted that in this embodiment, due to the consideration of the bottom line of the reported quantity, even if the overall bid price of the electricity purchaser is relatively low, the wind farm can avoid losses.

[0084] The method for centralized bidding of reported quantity and price in green trading of wind farms proposed in this embodiment can send a bidding message to the trading center according to the determined final declared price and final reported quantity for the wind farm, conduct green power bidding for the wind farm, and can determine the expected revenue, enriching the function of centralized bidding in green trading.

[0085] As Figure 6 shown, this embodiment proposes a device for centralized bidding of reported quantity and price in green trading of wind farms, and the device may include: A data input unit 601, configured to input the bidding-related data of the wind farm into the constructed trading volume-price model for trading volume-price prediction, and obtain the trading volume-price bottom line and the trading volume-price optimal line output by the trading volume-price model; wherein, the bidding-related data at least includes the government-guaranteed electricity price; A bid price determination unit 602, configured to determine the final declared price of the wind farm according to the government-guaranteed electricity price and the set bidding strategy; A first determination unit 603, configured to determine the bottom line value of the reported quantity of the wind farm based on the final declared price and the trading volume-price bottom line; A second determination unit 604, configured to determine the preliminary reported quantity range of the wind farm based on the historical transaction price range and the trading volume-price optimal line; A third determination unit 605, configured to determine the final reported quantity range of the wind farm according to the bottom line value of the reported quantity of the wind farm and the preliminary reported quantity range.

[0086] It should be noted that the processing procedures and the beneficial effects brought by the data input unit 601, the bid price determination unit 602, the first determination unit 603, the second determination unit 604, and the third determination unit 605 can respectively refer to Figure 1 Steps S101 to S105 therein, and will not be elaborated here.

[0087] Optionally, the quotation determination unit 602 is further configured to: Randomly select a positive value within a preset positive price increase range, and add the selected positive value to the government-guaranteed electricity price to obtain the minimum allowable declared price of the wind farm; When the set quotation strategy is that the electricity purchaser proposes the most unfavorable electricity purchase quotation for the wind farm, determine the minimum allowable declared price as the final declared price of the wind farm.

[0088] Optionally, the volume-price bottom line is a monotonically increasing curve in which the volume bottom line value changes with the transaction price; The first determination unit 603 is further configured to: Based on the final declared price, find the corresponding volume bottom line value in the volume-price bottom line; Determine the integer part of the found volume bottom line value as the volume declaration bottom line value of the wind farm.

[0089] Optionally, the historical transaction price range is an interval not less than the first transaction price and not greater than the second transaction price, and the volume-price optimal line is a monotonically increasing curve in which the volume optimal value changes with the transaction price; The second determination unit 604 is further configured to: Based on the first transaction price in the historical transaction price range, find the corresponding first volume optimal value in the volume-price optimal line, and determine the integer part of the first volume optimal value as the first preliminary declared volume; and, based on the second transaction price in the historical transaction price range, find the corresponding second volume optimal value in the volume-price optimal line, and determine the integer part of the second volume optimal value as the second preliminary declared volume; Construct an interval not less than the first preliminary declared volume and not greater than the second preliminary declared volume, and determine the constructed interval as the preliminary declared volume interval of the wind farm.

[0090] Optionally, the second determination unit 604 is further configured to: If the volume declaration bottom line value is less than the first preliminary declared volume in the preliminary declared volume interval, then determine the interval less than the volume declaration bottom line value as the final declared volume interval; If the volume declaration bottom line value is greater than or equal to the first preliminary declared volume in the preliminary declared volume interval and less than the second preliminary declared volume in the preliminary declared volume interval, then determine the interval greater than or equal to the first preliminary declared volume and less than or equal to the volume declaration bottom line value as the final declared volume interval; If the volume declaration bottom line value is greater than the second preliminary declared volume in the preliminary declared volume interval, then determine the second preliminary declared volume as the final declared volume interval.

[0091] Optionally, the auction-related data further includes the active power output probability distribution and the compensation cost coefficient of the wind farm in the future period.

[0092] Optionally, the above device further includes: The bid unit is further configured to: After determining the final bid volume range of the wind farm based on the bottom line value of the bid volume and the preliminary bid volume range of the wind farm, determine the final bid volume within the final bid volume range based on the set aggressive bidding strategy or conservative bidding strategy; Generate a bidding message based on the final bid volume and the final bid price, and send the bidding message to the trading center for centralized green trading bidding; wherein, the bidding message includes the final bid volume and the final bid price.

[0093] Optionally, the above device further includes: The revenue determination unit is further configured to: After sending the bidding message to the trading center for centralized green trading bidding, receive the final transaction price sent by the trading center when the wind farm's bidding is successful; Input the final transaction price and the final bid volume into the trading volume-price model for revenue prediction, and obtain the expected revenue average value output by the trading volume-price model; When the wind farm's bidding fails, determine the expected revenue average value based on the government-guaranteed electricity price and the final bid volume.

[0094] The device for centralized bidding volume and price quotation for green trading of wind farms proposed in this embodiment can input the bidding-related data of the wind farm into the constructed trading volume-price model for trading volume and price prediction, and obtain the bottom line of trading volume and price and the optimal line of trading volume and price output by the trading volume-price model. Among them, the bidding-related data includes at least the government-guaranteed electricity price. Determine the final bid price of the wind farm according to the government-guaranteed electricity price and the set bidding strategy. Based on the final bid price and the bottom line of trading volume and price, determine the bottom line value of the bid volume of the wind farm; and, based on the historical transaction price range and the optimal line of trading volume and price, determine the preliminary bid volume range of the wind farm. Determine the final bid volume range of the wind farm according to the bottom line value of the bid volume and the preliminary bid volume range of the wind farm. This embodiment can effectively determine the final bid price and the final bid volume range when the wind farm conducts centralized green trading bidding, and improve the determination efficiency of the bidding volume and price data when the wind farm participates in centralized green trading bidding.

[0095] The device for centralized bidding volume and price quotation for green trading of wind farms in this embodiment is presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0096] The embodiment of the present invention also provides a computer device having the above Figure 6 shown device for centralized bidding volume and price quotation for green trading of wind farms.

[0097] Please refer to Figure 7 , a schematic structural diagram of a computer device provided by an alternative embodiment of the present invention. The computer device includes: one or more processors 10, a memory 20, and an interface for connecting each component, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a set of blade servers, or a multi-processor system). Figure 7 Taking one processor 10 as an example in

[0098] The processor 10 can be a central processing unit, a network processor, or a combination thereof. Among them, the processor 10 can further include a hardware chip. The above hardware chip can be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The above programmable logic device can be a complex programmable logic device, a field programmable gate array, a general array logic, or any combination thereof.

[0099] Among them, the memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiments.

[0100] The memory 20 can include a storage program area and a storage data area. Among them, the storage program area can store an operating system and application programs required for at least one function. The storage data area can store data created according to the use of the computer device. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 can optionally include a memory remotely set relative to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and a combination thereof.

[0101] The memory 20 can include a volatile memory, such as a random access memory. The memory can also include a non-volatile memory, such as a flash memory, a hard disk, or a solid-state drive. The memory 20 can also include a combination of the above types of memories.

[0102] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0103] An embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented by downloading through a network the original computer code stored in a remote storage medium or a non-transitory machine-readable storage medium and to be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiment is implemented.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A centralized competitive bidding method for wind farm green trading volume and price reporting, characterized in that Including: Inputting the auction-related data of the wind farm into the constructed trading volume and price model for trading volume and price prediction to obtain the trading volume and price bottom line and the trading volume and price optimal line output by the trading volume and price model; wherein, the auction-related data at least includes the government-guaranteed electricity price; Determining the final bid price of the wind farm according to the government-guaranteed electricity price and the set bidding strategy; Based on the final bid price and the trading volume and price bottom line, determining the bottom line value of the bid volume of the wind farm; and, based on the historical transaction price range and the trading volume and price optimal line, determining the preliminary bid volume range of the wind farm; Determining the final bid volume range of the wind farm according to the bottom line value of the bid volume and the preliminary bid volume range of the wind farm.

2. The method according to claim 1, wherein The determining the final bid price of the wind farm according to the government-guaranteed electricity price and the set bidding strategy includes: Randomly selecting a positive value in a preset positive price increase range, and adding the selected positive value to the government-guaranteed electricity price to obtain the lowest allowable bid price of the wind farm; When the set bidding strategy is that it is assumed that the power purchaser proposes the most unfavorable power purchase bid price for the wind farm, determining the lowest allowable bid price as the final bid price of the wind farm.

3. The method according to claim 1, characterized in that The trading volume and price bottom line is a monotonically increasing curve in which the bottom line value of the trading volume changes with the transaction price; The determining the bottom line value of the bid volume of the wind farm based on the final bid price and the trading volume and price bottom line includes: Based on the final bid price, finding the corresponding bottom line value of the trading volume in the trading volume and price bottom line; Determining the integer part of the found bottom line value of the trading volume as the bottom line value of the bid volume of the wind farm.

4. The method according to claim 1, wherein The historical transaction price range is an interval not less than the first transaction price and not greater than the second transaction price, and the trading volume and price optimal line is a monotonically increasing curve in which the optimal value of the trading volume changes with the transaction price; The determining the preliminary bid volume range of the wind farm based on the historical transaction price range and the trading volume and price optimal line includes: Based on the first transaction price in the historical transaction price range, finding the corresponding first optimal value of the trading volume in the trading volume and price optimal line, and determining the integer part of the first optimal value of the trading volume as the first preliminary bid volume; and, based on the second transaction price in the historical transaction price range, finding the corresponding second optimal value of the trading volume in the trading volume and price optimal line, and determining the integer part of the second optimal value of the trading volume as the second preliminary bid volume; Constructing an interval not less than the first preliminary bid volume and not greater than the second preliminary bid volume, and determining the constructed interval as the preliminary bid volume range of the wind farm.

5. The method according to claim 4, wherein The determining the final bid volume range of the wind farm according to the bottom line value of the bid volume and the preliminary bid volume range includes: If the bottom line value of the bid volume is less than the first preliminary bid volume in the preliminary bid volume range, determining the interval less than the bottom line value of the bid volume as the final bid volume range; If the bottom-line value of the reported quantity is greater than or equal to the first preliminary reported quantity in the preliminary reported quantity range, and the bottom-line value of the reported quantity is less than the second preliminary reported quantity in the preliminary reported quantity range, then the range greater than or equal to the first preliminary reported quantity and less than or equal to the bottom-line value of the reported quantity is determined as the final reported quantity range; If the bottom-line value of the reported quantity is greater than the second preliminary reported quantity in the preliminary reported quantity range, then the second preliminary reported quantity is determined as the final reported quantity range.

6. The method according to claim 1, wherein The auction-related data further includes the probability distribution of the active power output and the compensation cost coefficient of the wind farm in the future period.

7. The method according to claim 1, characterized in that, After determining the final reported quantity range of the wind farm according to the bottom-line value of the reported quantity and the preliminary reported quantity range of the wind farm, the method further includes: Determining the final reported quantity in the final reported quantity range based on a set aggressive auction strategy or a conservative auction strategy; Generating an auction message according to the final reported quantity and the final bid price, and sending the auction message to the trading center for centralized green trading auction; wherein, the auction message includes the final reported quantity and the final bid price.

8. The method according to claim 7, wherein After sending the auction message to the trading center for centralized green trading auction, the method further includes: Receiving the final transaction price sent by the trading center when the wind farm wins the auction; Inputting the final transaction price and the final reported quantity into the trading volume-price model for revenue prediction, and obtaining the expected revenue average value output by the trading volume-price model; When the wind farm fails to win the auction, determining the expected revenue average value according to the government guaranteed electricity price and the final reported quantity.

9. A centralized competitive bidding device for green trading in a wind farm, characterized in that, Including: A data input unit for inputting the auction-related data of the wind farm into a constructed trading volume-price model for trading volume-price prediction, and obtaining the trading volume-price bottom line and the trading volume-price optimal line output by the trading volume-price model; wherein, the auction-related data at least includes the government guaranteed electricity price; A bid determination unit for determining the final bid price of the wind farm according to the government guaranteed electricity price and a set bidding strategy; A first determination unit for determining the bottom-line value of the reported quantity of the wind farm based on the final bid price and the trading volume-price bottom line; A second determination unit for determining the preliminary reported quantity range of the wind farm based on the historical transaction price range and the trading volume-price optimal line; A third determination unit for determining the final reported quantity range of the wind farm according to the bottom-line value of the reported quantity and the preliminary reported quantity range of the wind farm.

10. A computer device, characterized in that, Including: A memory and a processor, which are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to execute the wind farm green trading centralized auction bid and price quotation method according to any one of claims 1 to 8.

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