A dynamic acquisition method, device and system for a carbon quota transaction strategy

Abstract

The application discloses a kind of carbon quota transaction strategy dynamic acquisition method device and system, belong to electric power system control technical field, the method includes: for the thermal power generating unit of supply side, the cumulative error corresponding to the total amount of carbon quota of expected transaction and actual transaction in the number of transaction days completed in a year is calculated;The cumulative error is distributed according to future carbon quota demand to obtain daily carbon quota declaration correction component;The daily carbon quota transaction reference amount is superimposed with the carbon quota declaration correction component to obtain the carbon market transaction amount of the day.The method comprehensively market main body carbon quota yield prediction, actual transaction carbon quota error and carbon quota yield time distribution uneven factors, optimize the carbon quota transaction amount of market main body of electric power industry, help market main body to make scientific and reasonable carbon quota transaction strategy, solve the technical problem of traditional static quota transaction decision and electric power system dynamic operation scene mismatching.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of power system dispatching, and more particularly relates to a dynamic acquisition method, device and system of a carbon quota transaction strategy. BACKGROUND

[0002] With the deepening of the "double carbon" strategy, the power industry, as a key emission control field of the carbon market, its carbon quota transaction mechanism plays a key role in the low-carbon transformation of the industry. The current carbon market adopts the "baseline method + industry adjustment coefficient" quota allocation method, and its core features are: dynamic correlation: total quota = actual power generation x industry baseline value x adjustment coefficient, forming a rigid link between power generation and carbon quota; intensity control orientation: taking the carbon emission intensity per unit of power generation as the main evaluation index, the national power industry baseline value has been reduced to 0.581 tCO2 / MWh; regional differentiation: different adjustment coefficients (0.8-1.2 interval) are set for different power source structure regions. In the existing carbon market mechanism based on carbon emission intensity, the carbon quota allocation of power generation enterprises is directly related to their power generation, and the carbon quota transaction strategy of enterprises needs to consider the uncertainty of future power generation. The main sources of power generation uncertainty include: power demand side fluctuations, power source structure changes and policy control factors. Among them, power demand side fluctuations involve economic cycle influence, seasonal characteristics, industrial structure adjustment; power source structure changes involve new energy penetration rate improvement, cross-provincial transaction expansion and extreme climate events.

[0003] However, power generation enterprises are difficult to fully consider the dynamic impact of unit output uncertainty on carbon quota output, resulting in dynamic imbalance between carbon quota supply and demand and deviation of transaction strategy from the optimal path. SUMMARY

[0004] In view of the above defects or improvement needs of the prior art, the present application provides a dynamic acquisition method, device and system of a carbon quota transaction strategy, which aims to solve the technical problem of mismatch between traditional static quota transaction decision and dynamic operation scene of the power system.

[0005] To achieve the above-mentioned purpose, according to one aspect of the present application, a dynamic acquisition method of a carbon quota transaction strategy is provided, comprising:

[0006] S1: judging whether a thermal power unit belongs to the supply side or the demand side ;

[0007] S2: if the thermal power unit belongs to the supply side , then the following steps are executed to acquire a carbon quota transaction strategy including the total amount of carbon transaction on the day and the reporting price on the day;

[0008] Step A: calculating the carbon quota transaction reference amount of the thermal power unit according to the predicted annual carbon quota supply amount and the daily carbon quota demand amount the carbon quota transaction reference amount of the thermal power unit on the mth day ;

[0009] Step B: calculating the cumulative error between the total carbon quota expected to be traded in the completed transaction days of the year and the total carbon quota actually traded; distributing the cumulative error according to the future carbon quota demand amount to obtain the carbon quota transaction correction amount of the thermal power unit the carbon quota transaction correction amount of the thermal power unit on the mth day ;

[0010] Step C: superimposing the carbon quota transaction reference amount of the thermal power unit on the mth day and the carbon quota transaction correction amount of the thermal power unit on the mth day to obtain the carbon market transaction amount of the thermal power unit on the mth day the carbon market transaction amount of the thermal power unit on the mth day ;

[0011] Step D: setting the carbon market reporting price of the thermal power unit on the mth day to 0.

[0012] Further, the step A comprises: calculating the carbon quota transaction reference amount of the thermal power unit on the mth day using the following formula:;

[0013] ;

[0014] wherein, the predicted annual carbon quota supply amount of the thermal power unit on the mth day is the predicted annual carbon quota supply amount of the thermal power unit on the mth day, is the predicted carbon quota demand amount of the thermal power unit on the mth day, is the predicted carbon quota demand amount of the system on the ith day, N m is the total number of days in a year.

[0015] Further, the step A comprises: calculating the carbon quota transaction reference amount of the thermal power unit on the mth day using the following formula:

[0016] ;

[0017] wherein, the actual carbon quota production amount of the thermal power unit on the ith day is the actual carbon quota production amount of the thermal power unit on the ith day, is the predicted carbon quota supply amount of the thermal power unit on the ith day ​For thermal power generating units The correction coefficient on the mth day is determined according to the predicted production and the actual production on the historical date.

[0018] Further, the thermal power generating unit The correction coefficient on the mth day The expression is:

[0019] ;

[0020] Wherein, The set maximum correction coefficient, The set minimum correction coefficient.

[0021] Further, the step B distributes the cumulative error according to the future carbon quota demand to obtain the correction component of the carbon quota declaration of the thermal power generating unit The correction component of the carbon quota declaration of the thermal power generating unit on the mth day , comprising: determining the correction component of the carbon quota declaration of the thermal power generating unit The correction component of the carbon quota declaration of the thermal power generating unit on the mth day ;

[0022] ;

[0023] Wherein, The cumulative error of the thermal power generating unit On the mth day, The predicted carbon quota demand of the system on the mth day, The predicted carbon quota demand of the system on the ith day, N m The total number of days in a year.

[0024] Further, the step B calculates the cumulative error between the total amount of carbon quota expected to be traded in the completed trading days in a year and the total amount of carbon quota actually traded, comprising: calculating the cumulative error ;

[0025] ;

[0026] The total amount of carbon quota expected to be traded in the first m days of the completed trading days in a year of the thermal power generating unit

[0027] ;

[0028] The total amount of carbon quota actually traded on the ith day of the thermal power generating unit The predicted annual carbon quota supply of the thermal power generating unit On the mth day.​​

[0029] Furthermore, after S1, it also includes: for the demand side thermal power units The thermal power unit The carbon allowance declaration quantity on day m is set as the corresponding carbon allowance demand quantity, and its corresponding declaration price is set as the carbon opportunity cost in the spot market.

[0030] Furthermore, the thermal power unit is configured using the following formula. Carbon allowance declaration amount on day m :

[0031] ;

[0032] The thermal power unit is configured using the following formula. Price on day m :

[0033] ;

[0034] in, For the first The set of times contained in a day For thermal power units The approved benchmark carbon emission rate for the type of generating unit. For thermal power units The actual carbon emission rate, For the thermal power unit exist The spot market plays a crucial role in this process. It is the time interval between adjacent time scales in the spot market. For the thermal power unit At any moment The spot market clearing price at key points, For the thermal power unit At any moment The spot market declared price of the generator sets. For the thermal power unit The marginal cost of fuel.

[0035] According to another aspect of the present invention, a device for dynamically acquiring carbon quota trading strategies is provided, comprising:

[0036] The judgment module is used to judge the thermal power unit. Belongs to the supply side Demand side ;

[0037] The acquisition module is used to obtain information if the thermal power unit Belongs to the supply side The following steps are then executed to obtain a carbon quota trading strategy that includes the total carbon trading volume and the declared price for the day;

[0038] Step A: Calculate the carbon allowance supply and daily carbon allowance demand for the thermal power units based on the annual forecast carbon allowance supply and daily carbon allowance demand. Carbon allowance trading benchmark amount on day m ;

[0039] Step B: Calculate the cumulative error between the expected total carbon allowances traded and the actual total carbon allowances traded during the year's completed trading days; allocate the cumulative error according to future carbon allowance demand to obtain the thermal power unit. Carbon allowance declaration correction on day m ;

[0040] Step C: The thermal power unit Carbon allowance trading benchmark amount on day m Correction of carbon allowance declaration on day m Superimposed as the thermal power unit Carbon market trading volume on day m ;

[0041] Step D: The thermal power unit The carbon market bid price is set to 0 on day m.

[0042] According to another aspect of the present invention, a dynamic acquisition system for carbon quota trading strategies is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the dynamic acquisition method for carbon quota trading strategies.

[0043] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects:

[0044] (1) This invention provides a method for dynamically acquiring carbon quota trading strategies, if the thermal power unit Belongs to the supply side Calculate the total amount of carbon allowances expected to be traded out of the total number of trading days completed throughout the year. The cumulative error between the actual carbon allowances traded and the total amount traded; allocating the cumulative error according to future carbon allowance demand to thermal power units. Carbon allowance declaration correction on day m ; thermal power units Benchmark amount of carbon allowance trading on day m Correction of carbon allowance declaration on day m Superimposed as thermal power units Carbon market transaction volume on the mth day The method comprehensively considers factors such as carbon quota yield prediction of market subjects, actual transaction carbon quota error, and uneven time distribution of carbon quota yield, optimizes carbon quota transaction volume of market subjects in the power industry, helps market subjects to make scientific and reasonable carbon quota transaction strategies to realize dynamic optimization allocation of carbon quota, and solves the technical problem of mismatch between traditional static quota transaction decision and dynamic operation scene of the power system. Further, the carbon market can efficiently explore real-time carbon emission value, promote low-carbon transformation of the power industry and stable operation of the carbon market, and improve the synergistic benefits of carbon quota and the power market.

[0045] (2) The scheme uses to calculate the thermal power unit the carbon quota transaction benchmark volume on the mth day ; this method considers the carbon quota demand of the future predicted demand side unit and the carbon quota production of the unit, and has the advantage that the benchmark transaction volume declaration strategy can be formulated according to the carbon quota demand and the supply capacity of the unit.

[0046] (3) The scheme uses to calculate the thermal power unit the predicted annual carbon quota supply volume on the mth day; this method considers the actual carbon quota production at past time of the year and the predicted carbon quota production at future time, and has the advantage that the annual unit carbon quota production capacity is dynamically calculated through the daily rolling method, reducing the prediction error.

[0047] (4) The scheme uses

[0048] a correction coefficient ; this method considers the error between the actual carbon quota production and the planned production at past time of the year, and corrects the future predicted production, and has the advantage that the future predicted value is corrected through the known error at past time, making the future prediction more accurate.

[0049] (5) The scheme uses to determine the carbon quota declaration correction component of the thermal power unit on the mth day ; this method considers the deviation between the planned carbon quota transaction volume and the actual transaction volume at past time, and allocates the deviation to future transaction plans in proportion, and has the advantage that the error between the actual transaction volume and the planned transaction volume at past time can be controlled in the daily rolling process.

[0050] (6) For the thermal power unit of the demand side , the thermal power unit The carbon quota declaration amount on the mth day is set as the corresponding carbon quota demand amount, and the corresponding declaration price is set as the carbon opportunity cost of the spot market; this mode considers the relationship between the spot market power generation income and the carbon emission cost of the demand side unit, and has the advantages that the carbon opportunity cost is used to depict the theoretical optimal bidding strategy of the demand side thermal power unit in the carbon quota market under a completely competitive market environment. BRIEF DESCRIPTION OF DRAWINGS

[0051] Figure 1 is a flowchart of the dynamic acquisition method of the carbon quota trading strategy provided by Embodiment 1 of the present application.

[0052] Figure 2 is a schematic diagram of the carbon quota demand value of the demand side thermal power unit of the present application on each day of the whole year.

[0053] Figure 3 is a schematic diagram of the actual value and the predicted value of the carbon quota supply of the supply side thermal power unit of the present application on each day of the whole year. DETAILED DESCRIPTION

[0054] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application. In addition, the technical features involved in each embodiment of the present application described below can be combined with each other as long as they do not conflict with each other.

[0055] Embodiment 1

[0056] As shown in Figure 1 , the present embodiment provides a dynamic acquisition method of a carbon quota trading strategy, comprising steps 1-3.

[0057] Step 1: For any thermal power unit , it is judged whether the thermal power unit belongs to the supply side or the demand side . In the carbon market based on carbon emission intensity, the approved benchmark carbon emission rate of the thermal power unit type to which the thermal power unit belongs is , and the actual carbon emission rate of the thermal power unit is . Therefore, the thermal power unit can be determined to be a carbon quota supplier or a carbon quota demander according to the size relationship between the actual carbon emission rate and the benchmark carbon emission rate:

[0058] ;

[0059] wherein a set of thermal power units representing demanders, a set of thermal power units representing suppliers.

[0060] Step 2: For the demand side thermal power units, their daily carbon quota cost can be reflected in the electricity spot market, so for the mth day, the carbon quota declaration amount is the daily carbon quota demand of the thermal power unit, and the declaration price is the carbon opportunity cost of the spot market. The carbon opportunity cost is the profit that the thermal power unit can obtain in the spot market for generating a unit of carbon quota demand.

[0061] ;

[0062] ;

[0063] wherein, is the thermal power unit the carbon quota declaration amount of the thermal power unit on the mth day, is a set of time points contained in the mth day, is the thermal power unit the spot market output at the time point , is the time interval of the adjacent time scale of the spot market. is the thermal power unit the carbon quota declaration price of the thermal power unit on the mth day, is the thermal power unit the spot market node clearing price at the time point , is the thermal power unit spot market declaration price, is the marginal cost of fuel of the thermal power unit.

[0064] Step 3: For the supply side thermal power unit, the marginal cost of generating carbon quota is 0, so the marginal price of its carbon market declaration is:

[0065] ;

[0066] The carbon quota declaration amount of the thermal power unit in the daily carbon market needs to comprehensively consider the future thermal power unit output level, the total annual carbon quota supply capacity, etc., and reasonably allocate the annual supply amount to each day for trading. Assuming that the thermal power unit the carbon quota supply amount of the thermal power unit on the mth day is predicted according to the future output level estimation and historical output of the thermal power unit. The system carbon quota demand amount on the mth day is predicted according to the power system installed capacity and load level. The supply side should allocate the total annual supply amount according to the daily carbon quota demand amount, and according to the thermal power unit ​Actual carbon quota production volume in the previous m days and actual carbon quota trading volume The daily reporting volume has been revised. The specific method for optimizing the reporting volume is as follows:

[0067] Step 3.1: First, on the trading day Calculate the projected annual carbon allowance supply:

[0068] ;

[0069] in The correction factor is determined based on the predicted and actual production volumes for historical dates and is limited to its maximum value. and minimum value between;

[0070] .

[0071] Then, based on the total annual carbon allowance supply and daily carbon allowance demand, the benchmark amount for carbon allowance trading for thermal power units on day m can be calculated:

[0072] ;

[0073] Finally, the total expected carbon allowance to be traded within the number of trading days completed throughout the year is calculated as follows:

[0074] ;

[0075] Step 3.2: First, calculate the total amount of carbon allowances expected to be traded out of the total number of trading days completed throughout the year. The error between the actual trading volume and the actual trading volume is:

[0076] ;

[0077] Then, the accumulated error By allocating carbon allowances according to future carbon allowance demand, a carbon allowance declaration correction component can be obtained:

[0078] ;

[0079] Step 3.3: Calculate the supply-side first... The optimized carbon market trading volume, i.e., the baseline component plus the correction component:

[0080] ;

[0081] For example, suppose a simplified power system has one thermal power unit G1 with carbon allowance demand, and two thermal power units G2 and G3 with carbon allowance supply. Based on the annual power system operation, calculate its daily projected carbon allowance demand as follows: Figure 2 As shown.

[0082] In the power system, when the installed structure and load are determined, the total supply and demand of the carbon quota of the whole system are basically unchanged, so it is assumed that the actual daily carbon quota demand of G1 is the same as the prediction, the total daily carbon quota supply of G2 and G3 is the same as the prediction, but there is an error in the supply of each thermal power unit. The actual daily production supply of the thermal power unit and the predicted supply are as shown in the table. Figure 3

[0083] In order to compare the proposed carbon quota reporting strategy, the control variable method is used to set three simulation scenarios, the demand side thermal power unit reports according to the demand of the daily quota, and the supply side thermal power unit uses different reporting schemes. Scenario 1 assumes that the supply side reports according to the daily carbon quota production, denoted as A1; scenario two assumes that the supply side thermal power unit is distributed according to the total predicted annual production, and the reporting is carried out according to the benchmark component, denoted as A2; scenario three assumes that the supply side reports according to the proposed method, which considers the benchmark component and the correction component, denoted as A3.

[0084] It is assumed that in the carbon market transaction, the transaction amount is the smaller one of the reported demand and the reported supply, and the transaction electricity of the supply thermal power unit G2 and G3 is evenly divided according to the reported electricity. In the three scenarios, the annual carbon market transaction results of the three thermal power units are shown in Table 1, the positive value represents the production and purchase amount, and the negative value represents the demand and sale amount;

[0085] .

[0086] In scenario A1, the supply thermal power unit and the demand thermal power unit report according to the actual daily carbon quota production and demand, which leads to the mismatch between demand and supply every day, and finally makes the supply thermal power unit and the demand thermal power unit fail to completely trade the carbon quota. In scenario A2, the supply thermal power unit distributes the daily transaction amount according to the carbon quota demand based on the predicted annual carbon quota production, which can make the demand side completely trade. However, due to the error in the prediction of the carbon quota between the supply thermal power units, there will be more cases of selling more or less carbon quota. In scenario A3, the supply side thermal power unit reports according to the method of the present application, and the total actual carbon quota transaction amount is basically the same as the total actual production, which is beneficial to the transaction of the power generation enterprise and the operation of the carbon market.

[0087] Embodiment 2

[0088] The embodiment provides a dynamic acquisition device for a carbon quota transaction strategy, which comprises:

[0089] A judgment module is configured to judge whether the thermal power unit belongs to the supply side or the demand side. ​​​​​

[0090] acquiring module, configured to acquire the carbon quota transaction strategy including the total amount of carbon transaction on the day and the declared price of carbon on the day if the thermal power generating unit belongs to the supply side ;

[0091] Step A: calculating the carbon quota supply amount of the thermal power generating unit on the mth day according to the total amount of carbon quota supply in the whole year and the daily carbon quota demand amount; ;

[0092] Step B: calculating the cumulative error between the total amount of carbon quota expected to be traded in the total number of trading days completed in the whole year and the total amount of carbon quota actually traded; and distributing the cumulative error according to the future carbon quota demand amount to obtain the carbon quota declared correction component of the thermal power generating unit on the mth day; ;

[0093] Step C: superimposing the carbon quota transaction reference amount of the thermal power generating unit on the mth day and the carbon quota declared correction component of the thermal power generating unit on the mth day to obtain the carbon market transaction amount of the thermal power generating unit on the mth day; ;

[0094] Step D: setting the carbon market declared price of the thermal power generating unit on the mth day to 0.

[0095] Embodiment 3

[0096] The embodiment provides a dynamic acquisition system of a carbon quota transaction strategy, comprising a memory and a processor, the memory stores a computer program, and the processor realizes the steps of the dynamic acquisition method of the carbon quota transaction strategy when executing the computer program.

[0097] Those skilled in the art can easily understand that the above description is only preferred embodiments of the present application, and is not used to limit the present application, and any modification, equivalent replacement and improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.​

Claims

1. A method for dynamically obtaining a carbon quota trading strategy, characterized in that, Comprising: S1: judge thermal power generating unit belongs to supply side or demand side ; S2: if the thermal power generating unit belongs to the supply side , the following steps are performed to obtain a carbon quota trading strategy including the total amount of carbon trading on the day and the carbon trading price on the day; Step A: calculating the thermal power unit according to the annual predicted carbon quota supply and daily carbon quota demand Carbon quota transaction reference amount on the mth day ; Step B: calculate the cumulative error between the total amount of carbon quota of expected transaction in the completed transaction days of the whole year and the total amount of carbon quota in the actual transaction; distribute the cumulative error according to the future carbon quota demand to obtain the carbon quota demand of the thermal power unit in the future Carbon quota declaration correction component on the mth day ; Step C: the thermal power unit Carbon quota trade reference amount on the mth day Carbon quota declaration correction amount on the mth day Superimposed as the thermal power unit Carbon market trade amount on the mth day ; Step D: The thermal power unit The carbon market declaration price on the mth day is set to 0. The S1 further comprises: for the demand side thermal power generating unit , the thermal power generating unit The carbon quota declaration amount on the mth day is set as the corresponding carbon quota demand amount, and the corresponding declaration price is set as the carbon opportunity cost of the spot market; The thermal power generating unit is set by using the following formula Carbon quota declaration amount on the mth day : The thermal power generating unit is set by using the following formula The bidding price on the mth day : a set of time instants contained in a day, a thermal power generating unit a set of time instants contained in a day, a thermal power generating unit a set of time instants contained in a day, a thermal power generating unit a set of time instants contained in a day, a set of time instants contained in a day, a set of time instants contained in a day, a set of time instants contained in a day, a set of time instants contained in a day, a set of time instants contained in a day, a set of time instants contained in a day, a set of time instants contained in a day, a set of time instants contained in a day, a set of time instants contained in a day, a set of time instants contained in a day, a set of time instants contained in a day, 2. The method of claim 1, wherein the carbon quota transaction strategy is dynamically acquired based on the carbon quota transaction strategy database. The step A comprises: calculating the thermal power generating unit by using the following formula The carbon quota transaction reference amount on the mth day ; wherein, is the total annual carbon quota supply amount of the thermal power generating unit, is the predicted annual carbon quota supply amount of the thermal power generating unit on the mth day, is the predicted carbon quota demand amount of the system on the mth day, is the predicted carbon quota demand amount of the system on the ith day, N m is the total number of days in a year.

3. The method of claim 2, wherein the carbon quota transaction strategy is dynamically acquired based on the carbon quota transaction strategy database. The step A further comprises: calculating the thermal power generating unit by using the following formula The predicted annual carbon quota supply amount on the mth day; ； wherein, for the thermal power unit actual carbon quota production on the i-th day, for the thermal power unit predicted carbon quota supply on the i-th day; for the thermal power unit correction coefficient on the m-th day, determined according to the predicted production and the actual production of the historical dates.

4. The method of claim 3, wherein the carbon quota transaction strategy is dynamically acquired based on the carbon quota transaction strategy database. The thermal power generating unit The correction coefficient on the mth day The expression is: wherein is a set maximum correction factor, is a set minimum correction factor.

5. The method of claim 1, wherein the carbon quota trading strategy is dynamically acquired based on a carbon quota trading strategy database. The step B is to allocate the accumulated error according to the future carbon quota demand to obtain the thermal power unit The carbon quota declaration correction component on the mth day , comprising: determining the thermal power unit The carbon quota declaration correction component on the mth day ; wherein, for the thermal power generating unit cumulative error on the mth day, is the predicted carbon quota demand of the system on the mth day, is the predicted carbon quota demand of the system on the ith day, N m is the total number of days in a year.

6. The method of claim 5, wherein the carbon quota transaction strategy is dynamically acquired based on the carbon quota transaction strategy database. The step B of calculating the cumulative error between the total amount of carbon quota of expected transaction in the total number of transaction days completed in the whole year and the total amount of carbon quota in the actual transaction comprises: calculating the cumulative error by using the following formula ; for the thermal power generating unit Total amount of expected carbon quota for trading in the m days before the total number of trading days completed in the year: for the thermal power generating unit total amount of carbon quota actually traded on the i-th day, for the thermal power generating unit predicted total amount of carbon quota supplied in the whole year on the m-th day.

7. A device for dynamically obtaining a carbon quota trading strategy, characterized in that, A dynamic acquisition method for performing the carbon quota transaction strategy of any one of claims 1-6, comprising: A judging module is used for judging the thermal power generating unit belongs to the supply side or the demand side ; The acquisition module is configured to acquire the carbon quota transaction strategy including the total amount of carbon transaction of the day and the declared price of the day if the thermal power generating unit belongs to the supply side ​ Step A: calculating the thermal power unit according to the annual predicted carbon quota supply and daily carbon quota demand Carbon quota transaction reference amount on the mth day ; Step B: calculate the cumulative error between the total amount of carbon quota of expected transaction in the completed transaction days of the whole year and the total amount of carbon quota in the actual transaction; distribute the cumulative error according to the future carbon quota demand to obtain the carbon quota demand of the thermal power unit in the future Carbon quota declaration correction component on the mth day ; Step C: the thermal power unit the carbon quota trade reference amount on the mth day the carbon quota declaration correction amount on the mth day the superposition is performed as the thermal power unit the carbon market trade amount on the mth day ; Step D: The thermal power unit The carbon market declaration price is set to 0 on the mth day. 8.A system for dynamically obtaining a carbon quota trading strategy, comprising a memory and a processor, wherein the memory stores a computer program, and the computer program comprises the following steps of: The processor implements the steps of the method of any one of claims 1 to 6 when the computer program is executed.

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