Green electricity-CCER mutual recognition transaction system based on dynamic emission reduction factor

Abstract

The invention provides a green electricity-CCER mutual recognition system which is composed of a data interaction module, a dynamic carbon emission reduction factor publication module, a CCER voucher issuing module and a circulation verification module, the mutual recognition technology can be systematically realized, and the green electricity-CCER mutual recognition has transparency and performability. The data interaction ensures that the mutual acknowledgement source is real and can be checked, the dynamic carbon emission reduction factor publicity can provide power consumption reference for the user besides ensuring the transparency of mutual acknowledgement, and the user highly dependent on CCER can refer to the dynamic carbon emission reduction factor to carry out load planning so as to obtain more mutual acknowledgement CCER. The voucher issuing module can effectively prove that the green attribute of the CCER voucher has an official effect; the circulation cancel-after-verification module can ensure that the use of the CCER is legal and normative, and the loophole of repeated use of environmental rights and interests is avoided.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors. Background Art

[0002] With the development of the electricity market, the current market environment has green electricity trading, green certificate trading and carbon trading, as well as a renewable energy consumption responsibility mechanism, mandatory emission control entities’ carbon emission compliance constraints and emission reduction entities’ national certified voluntary emission reduction (CCER) recognition method. The coexistence of multiple markets and the implementation of multiple policies have brought about the problem of repeated rewards and punishments for environmental rights and interests, among which the repeated recognition of green electricity environmental rights and interests and unclear management barriers are particularly prominent. For example, for every 1MWh of green electricity generated by a green power generator, one green certificate can be claimed, and the consumption of this degree of green electricity by the user side can offset the corresponding renewable energy consumption responsibility, and the corresponding emission reduction can apply for the corresponding CCER certificate. On the surface, it appears that green policies are prosperous and developing, but in fact there is a problem of over-incentive, which violates the principle of uniqueness of environmental rights and interests, is unfair, and hinders the efficient development of green energy. Therefore, determining a reasonable method for the attribution of environmental rights and interests is an urgent need for the sustainable development of green electricity.

[0003] As a certificate for green electricity consumption, green certificates represent the external environment attributes of renewable energy electricity. When they were first introduced, they were intended to solve my country's huge renewable energy subsidy gap and the problem of power generation subsidies that exceed the entire life cycle. my country's main subsidy funds for the rapid development of renewable energy represented by wind power and solar power generation come from the Renewable Energy Development Fund. Faced with the leapfrog development of wind power and photovoltaic power generation, the subsidy fund gap is getting bigger and bigger. By 2019, my country's renewable energy subsidy gap has accumulated to more than 260 billion yuan, and green certificate trading came into being. It allows renewable energy companies to trade with companies and companies that promise to go green, solving the current renewable energy electricity price surcharge that relies solely on electricity charges. Subsidy sources. At the same time, for new energy power generation projects that exceed the entire life cycle, the introduction of green certificate trading can solve the problem of power generation subsidies for such projects to a certain extent. However, with the vigorous development of new power systems and green electricity, green certificates face a development crisis: 1) With the development of renewable energy technology and the continuous increase in installed capacity, renewable energy power generation projects have surged, their market competitiveness has increased, and parity will be gradually achieved. Green power generation subsidies will also be gradually cancelled, and there is no need for green certificates to replace the subsidy gap. 2) The green certificate itself, as an environmental attribute, does not circulate with green electricity. It is a "certificate-electricity separation" product. With the construction of a unified national electricity market, the "certificate-electricity integration" green electricity trading will be more conducive to the establishment of a unified national certification, circulation, and pricing system. In addition, the buyers of green certificates are mainly voluntary purchasers and users who have insufficient renewable energy responsibility consumption, and their use methods do not fully reflect the emission reduction attributes of green electricity. Therefore, the current green certificates that mark the environmental attributes of green electricity are not sufficient to represent the environmental rights and interests of green electricity. It is urgent to achieve an organic combination of green electricity environmental rights and interests and emission reduction.

[0004] At present, some regions in China have proposed a method of transferring green certificates simultaneously with green electricity to achieve "certificate-electricity integration", but this method does not solve the problem of repeated recognition of environmental benefits. CCER and green certificates exist at the same time, and the problem of double incentives for each kilowatt-hour of green electricity has not been solved. Some studies have proposed the mutual recognition technology of green electricity and CCER. Through the carbon emission factor, the surplus amount of green certificates is converted into the carbon emission compliance of CCER participating in the emission control entity to reduce its emission control pressure. This technical method can realize the recognition of the emission reduction benefits of green electricity and ensure the uniqueness of the existence of green certificates and CCER, but it still does not clarify the ownership of environmental benefits on the energy supply side and the energy use side. According to the green electricity trading rules, the cost of green electricity includes two parts: electricity cost and environmental premium. That is, users have paid for the environment when purchasing green electricity. Combined with the polluter pays principle, paying users should enjoy the environmental benefits of green electricity. That is, CCER obtained from the mutual recognition of green electricity should be held by users. However, in the power system, electricity flows from the energy supply side to the energy consumption side through the power grid. The green electricity supply of green electricity suppliers can be directly measured by electricity meters, but the actual amount of green electricity consumed by the user side cannot be accurately measured. Therefore, a complete green electricity-CCER mutual recognition system has yet to be proposed. Summary of the invention

[0005] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art and provide a green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors, which can systematically implement mutual recognition technology and make green electricity-CCER mutual recognition transparent and enforceable.

[0006] To achieve the above object, the technical solution of the present invention is:

[0007] A green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors, including a data interaction module, a dynamic carbon emission reduction factor disclosure module, a CCER certificate issuance module, and a circulation and cancellation module;

[0008] The data interaction module is used to integrate data from various departments;

[0009] The dynamic carbon emission reduction factor publicity module is used to obtain data from the data interaction module, and calculate the dynamic carbon emission reduction factor of each user node in combination with the calculation method of the dynamic carbon emission reduction factor and publish it in real time to assist users in making dynamic adjustments to electricity consumption decisions;

[0010] The CCER certificate issuance module is used to verify and issue CCER certificates in combination with the dynamic carbon emission reduction factor and the user's emission reduction amount;

[0011] The circulation and cancellation module is responsible for registering the use of user CCER certificates.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] The present invention proposes a green electricity-CCER mutual recognition system, which consists of four modules: a data interaction module, a dynamic carbon emission reduction factor publicity module, a CCER certificate issuance module, and a circulation and cancellation module. It can systematically implement mutual recognition technology, making green electricity-CCER mutual recognition transparent and executable. Data interaction ensures that the source of mutual recognition is authentic and traceable. In addition to ensuring the transparency of mutual recognition, the dynamic carbon emission reduction factor publicity can also provide users with a reference for power consumption. Users who are highly dependent on CCER can refer to the dynamic carbon emission reduction factor for load planning to obtain more mutually recognized CCERs. The certificate issuance module can effectively prove that the green attributes of the CCER certificate have an official effect. The circulation and cancellation module can ensure the legal and standardized use of CCER and avoid loopholes in the repeated use of environmental rights and interests. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A schematic diagram of the composition of a green electricity-CCER mutual recognition trading system based on a dynamic emission reduction factor provided in an embodiment of the present invention;

[0015] Figure 2 The principle of solving the power flow distribution factor;

[0016] Figure 3 The CCER allocation principle within the virtual power plant;

[0017] Figure 4 A specific implementation flow chart of the green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] Example:

[0019] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0020] See also Figure 1 As shown, the green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors provided in this embodiment is mainly composed of four modules: data interaction module, dynamic carbon emission reduction factor publicity module, CCER certificate issuance module, and circulation and cancellation module.

[0021] The data interaction module is used to integrate data from various departments to ensure that the source of mutual recognition is authentic and traceable; the dynamic carbon emission reduction factor disclosure module is used to obtain data from the data interaction module, and combined with the calculation method of the dynamic carbon emission reduction factor, calculate the dynamic carbon emission reduction factor of each user node and publish it in real time to assist users in making dynamic adjustments to electricity consumption decisions; in addition to ensuring the transparency of mutual recognition, the dynamic carbon emission reduction factor disclosure can also provide users with a reference for power consumption. Users who are highly dependent on CCER can refer to the dynamic carbon emission reduction factor for load planning to obtain more mutually recognized CCERs. The CCER certificate issuance module is used to verify and issue CCER certificates in combination with the dynamic carbon emission reduction factor and the user's emission reduction. The certificate issuance module can effectively prove that the green attributes of the CCER certificate have an official effect; the circulation and cancellation module is responsible for the registration of the user's CCER certificate use, so as to ensure the legal and standardized use of CCER and avoid loopholes in the repeated use of environmental rights and interests. In addition to basic emission reduction information, CCER certificates must also include green electricity equivalent consumption information, green electricity consumption date information, CCER usage time information, mutual recognition corresponding carbon emission factors and dynamic carbon emission reduction factor information.

[0022] Specifically, the data interaction module is used to integrate data from various departments to calculate dynamic carbon emission reduction factors, including: obtaining data input by various departments, including spot transaction data and medium- and long-term contract data input by the power market, flow data and power generation data input by the power grid dispatching department, and carbon emission factors and regional carbon emission factors of generator sets input by the carbon emission monitoring department. In other words, the data transaction module is mainly used to integrate data from various departments to calculate dynamic carbon emission reduction factors. It needs to integrate spot transaction data and medium- and long-term contract data from the power market, real-time flow data from the power grid dispatching department, power generation data from power generators, and user electricity consumption data, among which power generation data from power generators needs to distinguish the types of generator sets. The carbon emission monitoring department also needs to report relevant regional carbon emission factor data and carbon emission factor data for various types of generator sets. This type of data is directly transmitted from system to system without the need for public disclosure, thus ensuring the privacy of each department.

[0023] Different from the carbon emission factor that reflects the carbon emission situation per kilowatt-hour, the present invention proposes the concept of dynamic carbon emission reduction factor for the mutual recognition of green electricity-CCER emission reduction, which characterizes the carbon emission reduction situation per kilowatt-hour. First, it is necessary to obtain the power grid flow distribution factor based on the power grid flow distribution, and then calculate the dynamic carbon emission reduction factor of the load node based on the carbon emission factor corresponding to each type of power generation unit. However, since the current green electricity transactions are mainly medium- and long-term transactions, the impact of medium- and long-term contracts must be taken into account. It is believed that the medium- and long-term transaction electricity is a physical contract and needs to be actually executed. At this time, the medium- and long-term contract electricity can be eliminated from the real-time power grid flow. The user has paid an environmental premium for this part of green electricity, and its environmental rights and interests can be directly transferred to the user side. After eliminating the medium- and long-term contract anchored transmission flow, the dynamic carbon emission reduction factor of the remaining mixed electricity is obtained to obtain the emission reduction of the user's spot consumption of green electricity. Therefore, the dynamic carbon emission reduction factor publicizing module is used to obtain the data of the data interaction module, and calculate the dynamic carbon emission reduction factor of each user node in combination with the calculation method of the dynamic carbon emission reduction factor. The specific principle is as follows Figure 2 As shown, the solution method is as follows:

[0024]

[0025] Among them, P i (t) represents the unit output of power generation node i at time t after removing the decomposed power of medium- and long-term contracts; L j (t) represents the power consumption of load node j at time t after removing the load decomposed by medium- and long-term contracts; ξ i (t) represents the power grid power generation weight factor of power generation node i at time t; ζ j (t) represents the load power consumption weight factor of load node j at time t; ΔL(t) represents the network line loss at time t; η i (t) represents the carbon emission factor of power generation node i at time t; η G Represents the carbon emission factor of unit G; P G(t) represents the power generation of unit G at time t after excluding medium- and long-term contracts; represents the regional power grid carbon emission factor; β j (t) represents the dynamic carbon emission reduction factor of load node j at time t.

[0026] In this way, the above method provides technical support for the calculation of emission reduction of green electricity consumption by power grid users. The mutual recognition technology proposed based on this is in line with the principle of uniqueness of environmental rights and interests. It can transfer the environmental rights and interests of green electricity to the user side for unique identification, which can effectively solve the redundancy problem of multiple standards in the current green electricity identification and straighten out the environmental rights and interests transfer chain of green electricity.

[0027] Based on the dynamic carbon emission reduction factor, the carbon emission reduction amount on the user side can be calculated, and then the corresponding number of CCER certificates can be mutually recognized. The specific mutual recognition mechanism is as follows:

[0028]

[0029] In this model, N j,d,CCER L is the number of CCERs mutually recognized by user j on day d; j,spots P is the net spot power consumption of user j; j,long-green Decompose the amount of green electricity at time t for user j who signed a medium- and long-term green electricity contract. Based on the concept of dynamic carbon emission reduction factors, the separation of green electricity in the power flow can be simplified. The user's emission reduction can be calculated by combining the power generation and consumption information on the source and load side and the user's medium- and long-term contracts, and the mutual recognition of green electricity CCER can be achieved. In this way, through the above method, the different performance characteristics of emission-controlled users and ordinary users are considered. The model can effectively ensure that users meet the performance conditions, while maximizing the user's trading benefits and providing users with carbon market carbon quota trading and CCER trading decision support.

[0030] Since the emission reduction of a single user often cannot reach the CCER application threshold, especially for ordinary residential users, it is believed that users in the region can naturally form an alliance, and then apply for CCER in the form of an overall agent of the alliance. It can be considered that they form a user virtual power plant. The emission reduction of green electricity consumed by users within the user virtual power plant is uniformly identified by the virtual power plant agent and then allocated to users. However, due to the wide variety of users within the user virtual power plant, and some users have demand response capabilities, or are equipped with energy storage and photovoltaic power generation equipment, there may also be electricity interaction among internal users. Therefore, the dynamic carbon emission reduction factor measured from the external power grid to the virtual power plant interface cannot be directly used to calculate user emission reductions. Figure 3As shown, the present invention proposes a CCER allocation method based on the Shapley value method. First, based on user characteristics, it is clarified that there are two sources of green electricity consumed by users: 1) The user's spontaneous net green electricity can be measured based on the smart meter, and the emission reduction of this part of green electricity can be directly obtained, so the corresponding CCER can also be directly allocated. 2) The electricity purchased by the user from the virtual power plant may come from the external power grid or other users within the virtual power plant, and the emission reduction corresponding to the green electricity cannot be directly measured, so it can be allocated based on the Shapley value method. The specific allocation principle and calculation method are as follows:

[0031]

[0032] Among them, N VPP,d The CCER mutual recognition amount on the d day of the VPP is obtained based on the emission reduction of electricity consumption on d-1 day; is the green electricity generation of user i at time t on day d-1; The amount of electricity sold by VPP to the grid at time t on day d-1; It is the amount of electricity purchased by VPP from the power grid at time t on day d-1.

[0033] Then the utility function of the VPP alliance is:

[0034]

[0035] in, is the green electricity generation of user i at time t on a typical day; is the amount of electricity sold by VPP to the grid at time t on a typical day; is the amount of electricity purchased by VPP from the grid at time t on a typical day (i.e., the amount of electricity sold by the grid); β' is the dynamic carbon emission reduction factor of VPP at time t on a typical day.

[0036] Then the Shapley value of CCER shared by user i is:

[0037]

[0038] Then the number of CCERs allocated to user i is:

[0039] G i,d =G i-self,d +k i ΔG BVPP,d (10)

[0040] Among them, G i-self,d is the mutually recognized CCER amount of green electricity generated and used by subject i; k i is the distribution coefficient of subject i; ΔG BVPP,d The mutually recognized CCER volume for VPP excluding the green electricity generated and used by the user.

[0041] In this way, the CCER allocation method based on the Shapley value method mentioned above solves the allocation problem of CCER mutual recognition by user virtual power plant agents, which is fair and reasonable. It provides a mutual recognition channel for small-scale single users, ensuring that the green electricity consumed by all types of users can be identified for environmental rights and interests and obtain relevant certificates, thereby effectively expanding the CCER mutual recognition and circulation in the market and ensuring the prosperity and development of the market.

[0042] Due to different types of user entities, the performance requirements for CCER are also different. For example, for user entities on the national control list, the government allocates some free quotas. User entities must ensure that their own quotas and CCERs are balanced with the total carbon emissions when performing their obligations at the end of the year. User entities without performance requirements can freely sell CCER certificates to benefit. Based on this, a user entity carbon trading model based on mutual recognition technology is established to maximize the user utility under mutual recognition technology. It is assumed that the green electricity consumed by users on the dth day can be converted into CCER for trading or retention on the d+1th day.

[0043] Among them, the control and discharge user model can be constructed as follows:

[0044] Carbon quota allocation model:

[0045] P CEAneed =P cf η cf (11)

[0046] P CEAfree =ωP CEAneed (12)

[0047] P CEAneed The amount of carbon quotas required for contract performance settlement; P cf is the thermal power consumption of users; η cf is the regional thermal power carbon emission factor, which is 0.8729; P CEAfree is the number of free quotas; ω is the free quota ratio, which is 95%. The number of mutually recognized CCERs can be obtained based on formulas (1)-(10).

[0048] The transaction objective function is:

[0049]

[0050] R force Carbon market trading income for emission control users based on mutual recognition technology; CEA,d is the carbon quota trading volume on day d, and sales are positive; C CEA,d is the carbon quota market price on day d; P CCER,d C is the CCER transaction income on day d; CCER,d is the CCER market price on day d.

[0051] The constraints are:

[0052]

[0053] Where P CCER is the total amount of mutually recognized CCER; α CCER The allowable offset ratio for CCER is set at 10%; the constraints include the total CCER fulfillment amount constraint, the entity CEA, the total CCER saleable amount constraint, the fulfillment amount constraint and the capital flow constraint.

[0054] For the model built by ordinary users, the mutual recognition model is the same, and the objective function is:

[0055]

[0056] In the formula, R LC Carbon market benefits based on mutual recognition technology for ordinary users.

[0057] The constraints are:

[0058]

[0059] The above models are all linear models. Users can ensure their own carbon emission compliance and balance of trading income by trading based on this trading model.

[0060] In this way, by taking into account the different performance characteristics of emission-controlled users and ordinary users, the model can effectively ensure that users meet the performance conditions, while maximizing the user's trading benefits and providing users with carbon market carbon quota trading and CCER trading decision support.

[0061] like Figure 4 As shown, the specific implementation process of the green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors provided in this embodiment.

[0062] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable ordinary technicians in the field to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made based on the essence of the content of the present invention should be included in the protection scope of the present invention.

Claims

1. A green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors, characterized in that: It includes data interaction module, dynamic carbon emission reduction factor disclosure module, CCER certificate issuance module, and circulation verification module; among them, The data interaction module is used to integrate data from various departments; The dynamic carbon emission reduction factor publicity module is used to obtain data from the data interaction module, and calculate the dynamic carbon emission reduction factor of each user node in combination with the calculation method of the dynamic carbon emission reduction factor and publish it in real time to assist users in making dynamic adjustments to electricity consumption decisions; The CCER certificate issuance module is used to verify and issue CCER certificates in combination with the dynamic carbon emission reduction factor and the user's emission reduction amount; The circulation and cancellation module is responsible for registering the use of user CCER certificates.

2. The green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors according to claim 1 is characterized in that: The data interaction module is used to integrate data from various departments to calculate dynamic carbon emission reduction factors, including: Obtain data input by various departments, including spot transaction data and medium- and long-term contract data input by the power market, flow data and power generation data input by the power grid dispatching department, and carbon emission factors of generator sets and regional carbon emission factors input by the carbon emission monitoring department.

3. The green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors as claimed in claim 2 is characterized in that: The data input by each department does not need to be made public.

4. The green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors as claimed in claim 2 is characterized in that: The calculation method of the dynamic carbon emission reduction factor includes: Among them, P i (t) represents the unit output of power generation node i at time t after removing the decomposed power of medium- and long-term contracts; L j (t) represents the power consumption of load node j at time t after removing the load decomposed by medium- and long-term contracts; ξ i (t) represents the power grid power generation weight factor of power generation node i at time t; ζ j (t) represents the load power consumption weight factor of load node j at time t; ΔL(t) represents the network line loss at time t; η i (t) represents the carbon emission factor of power generation node i at time t; η G Represents the carbon emission factor of unit G; P G (t) represents the power generation of unit G at time t after excluding medium- and long-term contracts; represents the regional power grid carbon emission factor; β j (t) represents the dynamic carbon emission reduction factor of load node j at time t.

5. The green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors according to claim 2 or 4, characterized in that: The CCER certificate issuance module is used to verify the dynamic carbon emission reduction factor and the user's emission reduction, including: The carbon emission reduction amount calculated on the user side based on the dynamic carbon emission reduction factor is mutually recognized as the corresponding number of CCER certificates. The specific mutual recognition mechanism is as follows: Among them, N j,d,CCER L is the number of CCERs mutually recognized by user j on day d; j,spots P is the net spot power consumption of user j; j,long-green Decompose the amount of green electricity at time t for user j in the medium and long term; Based on the concept of dynamic carbon emission reduction factors, the separation of green electricity in power flow is simplified. The user's emission reduction can be calculated by combining the power generation and consumption information on the source and load side and the user's medium- and long-term contracts, thereby achieving mutual recognition of green electricity CCER.

6. The green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors as claimed in claim 5 is characterized in that: The issuance of CCER certificates includes: CCER voucher allocation based on Shapley value method: Among them, N VPP,d The CCER mutual recognition amount on the d day of the VPP is obtained based on the emission reduction of electricity consumption on d-1 day; is the green electricity generation of user i at time t on day d-1; The amount of electricity sold by VPP to the grid at time t on day d-1; The amount of electricity purchased by VPP from the power grid at time t on day d-1; Then the utility function of the VPP alliance is: in, is the green electricity generation of user i at time t on a typical day; is the amount of electricity sold by VPP to the grid at time t on a typical day; is the amount of electricity purchased by VPP from the power grid at time t on a typical day; β' is the dynamic carbon emission reduction factor of VPP at time t on a typical day; Then the Shapley value of CCER shared by user i is: Then the number of CCERs allocated to user i is: G i,d =G i-self,d +k i ΔG BVPP,d (10) Among them, G i-self,d is the mutually recognized CCER amount of green electricity generated and used by subject i; k i is the distribution coefficient of subject i; ΔG BVPP,d The mutually recognized CCER volume for VPP excluding the green electricity generated and used by the user.

7. The green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors according to claim 6 is characterized in that: Based on their own needs, users can circulate the CCERs obtained through mutual recognition in the market or cancel them after performance registration. The corresponding CCER operations and transfers must be managed and registered in the system.

8. The green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors as claimed in claim 7 is characterized in that: Establish a user-based carbon trading model based on mutual recognition technology to maximize the user utility under mutual recognition technology, and set that the green electricity consumed by users on day d can be converted into CCER for trading or retention on day d+1; Among them, the control and discharge user model can be constructed as follows: Carbon quota allocation model: P.S CEAneed JP cf η cf (11) P CEAfree =ωP CEAneed (12) P CEAneed The amount of carbon quotas required for contract performance settlement; P cf is the thermal power consumption of users; η cf is the regional thermal power carbon emission factor; P CEAfree is the number of free quotas; ω is the ratio of free quotas; the number of mutually recognized CCERs is obtained based on formulas (1)-(10); The transaction objective function is: R force Carbon market trading income for emission control users based on mutual recognition technology; CEA,d is the carbon quota trading volume on day d, and sales are positive; C CEA,d is the carbon quota market price on day d; P CCER,d C is the CCER transaction income on day d; CCER,d is the CCER market price on day d.

9. The green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors as claimed in claim 8, characterized in that: The constraints are: Where P CCER is the total amount of mutually recognized CCER; α CCER The allowable offset ratio for CCER is set at 10%; the constraints include the total CCER fulfillment amount constraint, the entity CEA, the total CCER saleable amount constraint, the fulfillment amount constraint and the capital flow constraint. For the model built by ordinary users, the mutual recognition model is the same, and the objective function is: In the formula, R LC Carbon market benefits for ordinary users based on mutual recognition technology; The constraints are: The above models are all linear models. Users trade based on this trading model to ensure their own carbon emission compliance and balance of trading benefits.

10. The green electricity-CCER mutual recognition trading system based on dynamic emission reduction factors according to claim 1, characterized in that: In addition to the basic emission reduction information, the CCER certificate must also include green electricity equivalent consumption information, green electricity consumption date information, CCER usage time information, mutually recognized corresponding carbon emission factors and dynamic carbon emission reduction factor information.

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