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

Abstract

The application provides a green electricity-CCER mutual recognition system, which is composed of a data interaction module, a dynamic carbon emission reduction factor publicizing module, a CCER certificate issuing module and a circulation and cancellation module, can systematically realize mutual recognition technology, and makes the green electricity-CCER mutual recognition transparent and executable. The data interaction ensures that the source of mutual recognition is real and traceable, the dynamic carbon emission reduction factor publicizing not only ensures the transparency of mutual recognition, but also provides power consumption reference for users, and users highly dependent on CCER can refer to the dynamic carbon emission reduction factor to plan load and obtain more mutual recognition CCER. The certificate issuing module can effectively prove that the green property of the CCER certificate has an official effect, and the circulation and cancellation module can guarantee that the use of the CCER is legal and standardized, and avoid the repeated use of environmental rights and interests.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric power, in particular to a green electricity-CCER mutual recognition transaction system based on a dynamic emission reduction factor. BACKGROUND

[0002] Determining a reasonable environmental right attribution method is an urgent need for the sustainable development of green electricity.

[0003] Green certificates, as a certificate of green electricity consumption, represent the external environmental attributes of renewable energy power. The existing green certificates that label the environmental attributes of green electricity are not sufficient to represent the environmental rights of green electricity.

[0004] Existing research has proposed a green electricity-CCER mutual recognition technology that converts the surplus amount of green certificates into CCERs to participate in the carbon emission compliance of the emission control subject to reduce the emission control pressure. This technology can identify the emission reduction benefits of green electricity and ensure the uniqueness of green certificates and CCERs, but it still does not clearly define the environmental benefit attribution of the energy supply side and the energy consumption side. 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 metered by the electricity meter, but the actual consumption of green electricity by the user side cannot be accurately metered. Therefore, a complete green electricity-CCER mutual recognition system still needs to be proposed. SUMMARY

[0005] The purpose of the present application is to overcome the shortcomings of the prior art and provide a green electricity-CCER mutual recognition transaction system based on a dynamic emission reduction factor, which can systematically implement mutual recognition technology and make green electricity-CCER mutual recognition transparent and executable.

[0006] To achieve the above purpose, the technical solution of the present application is:

[0007] A green electricity-CCER mutual recognition transaction system based on a dynamic emission reduction factor, comprising a data interaction module, a dynamic carbon emission reduction factor publicizing module, a CCER certificate issuing module, and a transfer and cancellation module; wherein,

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

[0009] The dynamic carbon emission reduction factor publicizing 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 real-time publicize to assist users in making dynamic adjustments to electricity consumption decisions;

[0010] The CCER certificate issuing module is used to approve and issue CCER certificates in combination with the dynamic carbon emission reduction factor and the emission reduction amount of the user;

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

[0012] The present application has the beneficial effects compared with the prior art, which are:

[0013] The present application provides a green electricity-CCER mutual recognition system, which is composed of a data interaction module, a dynamic carbon emission reduction factor publicizing module, a CCER certificate issuing module and a circulation verification module, and can systematically realize mutual recognition technology, so that the green electricity-CCER mutual recognition has transparency and executability. The data interaction ensures the authenticity and traceability of the source of mutual recognition, the dynamic carbon emission reduction factor publicizing module ensures the transparency of mutual recognition and can also provide power consumption reference for users, and users highly dependent on CCER can refer to the dynamic carbon emission reduction factor for load planning to obtain more mutual recognition CCER. The certificate issuing module can effectively prove the green property of the CCER certificate with official effect. The circulation verification module can guarantee the legal and standardized use of CCER and avoid the repeated use of environmental rights and interests. BRIEF DESCRIPTION OF DRAWINGS

[0014] Figure 1 A composition schematic diagram of the green electricity-CCER mutual recognition transaction system based on a dynamic emission reduction factor provided by the present application is provided.

[0015] Figure 2 A solution principle of a power flow distribution factor is provided.

[0016] Figure 3 A principle of internal CCER distribution of a virtual power plant is provided.

[0017] Figure 4 A specific implementation flowchart of the green electricity-CCER mutual recognition transaction system based on a dynamic emission reduction factor provided by the present application is provided. DETAILED DESCRIPTION

[0018] Embodiment:

[0019] The technical solutions of the present application will be further described in combination with the drawings and embodiments.

[0020] Referring to Figure 1 the drawings, the green electricity-CCER mutual recognition transaction system based on a dynamic emission reduction factor provided by the present application is mainly composed of a data interaction module, a dynamic carbon emission reduction factor publicizing module, a CCER certificate issuing module and a circulation verification module.

[0021] The data interaction module is used for integrating data of each department, and ensures that the source of mutual recognition is real and traceable. The dynamic carbon emission reduction factor publicizing module is used for obtaining data of the data interaction module, and combining a calculation method of the dynamic carbon emission reduction factor to calculate the dynamic carbon emission reduction factor of each user node and publish it in real time, so as to assist the user in making a dynamic adjustment of power consumption decision. In addition to ensuring the transparency of mutual recognition, the dynamic carbon emission reduction factor publicizing can also give the user a reference of power consumption. The user highly dependent on CCER can refer to the dynamic carbon emission reduction factor to plan the load, so as to obtain more mutual recognition CCER. The CCER certificate issuing module is used for combining the dynamic carbon emission reduction factor and the emission reduction amount of the user to verify and issue the CCER certificate. The certificate issuing module can effectively prove that the green property of the CCER certificate has an official effect. The circulation verification module is used for being responsible for the use registration of the CCER certificate of the user, so as to ensure that the use of CCER is legal and standardized, and avoid the repeated use of environmental rights and interests. In addition to the basic emission reduction amount information, the CCER certificate also needs to include green electricity equivalent consumption amount information, green electricity consumption date information, CCER use time limit information, mutual recognition corresponding carbon emission factor and dynamic carbon emission reduction factor information

[0022] Specifically, the data interaction module is used for integrating data of each department to calculate the dynamic carbon emission reduction factor, including: obtaining data input by each department, including spot transaction data and medium and long-term contract data input by the power market, power flow data and power generation data input by the power grid dispatching department, and carbon emission factor of the generator set and regional carbon emission factor input by the carbon emission monitoring department. That is, the data transaction module is mainly used for integrating data of each department to calculate the dynamic carbon emission reduction factor, which needs to integrate spot transaction data and medium and long-term contract data of the power market, real-time power flow data and power generation data of the power grid dispatching department, and user power consumption data, wherein the power generation data of the power generation company needs to be distinguished according to the type of the generator set. The carbon emission monitoring department also needs to report relevant regional carbon emission factor data and carbon emission factor data of various types of generator sets. Such data is directly transmitted between systems without publicizing, so as to ensure the privacy of each department.

[0023] Unlike the carbon emission factor reflecting the degree of carbon emission, the present application proposes a dynamic carbon emission reduction factor concept for green electricity-CCER emission reduction mutual recognition, which characterizes the degree of carbon emission reduction. First, the power grid flow distribution factor needs to be obtained according to the power grid flow distribution, and then the dynamic carbon emission reduction factor of the load node is calculated according to the carbon emission factor of each type of generator unit. However, since the current green electricity transaction is mainly a medium and long-term transaction, the influence of the medium and long-term contract needs to be considered, and the medium and long-term transaction electricity is considered as a physical contract, which needs to be actually executed. At this time, the medium and long-term contract electricity can be removed from the real-time power flow of the power grid, and the environmental premium paid by the user for this part of green electricity can be directly transferred to the user side. After removing the medium and long-term contract anchoring transmission flow, the dynamic carbon emission reduction factor of the remaining part of the mixed electricity can be obtained by calculating the dynamic carbon emission reduction factor of the user's spot consumption green electricity, so the dynamic carbon emission reduction factor public display module is used to obtain the data of the data interaction module, and the dynamic carbon emission reduction factor of each user node is calculated according to the calculation method of the dynamic carbon emission reduction factor. The specific principle is as shown in Figure 2 The solving method is as follows:

[0024]

[0025] Wherein, P i (t) represents the unit output of the generating node i after removing the medium and long-term contract decomposition electricity at time t; L j (t) represents the electricity consumption of the load node j after removing the medium and long-term contract decomposition load at time t; ξ i (t) represents the power grid power generation weight factor of the generating node i at time t; ζ j (t) represents the load power consumption weight factor of the 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 the generating node i at time t; η G represents the carbon emission factor of the unit G; P G (t) represents the power generation of the unit G after removing the medium and long-term contract at time t; represents the carbon emission factor of the regional power grid; β j (t) represents the dynamic carbon emission reduction factor of the load node j at time t.

[0026] In this way, the above-mentioned method provides technical support for the calculation of the carbon emission reduction amount of the green electricity consumed by the user of the power grid. Based on this, the mutual recognition technology meets the uniqueness principle of environmental rights and interests, and 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 the current green electricity identification with multiple targets, 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 of the user side can be calculated, and the corresponding number of CCER certificates can be mutually recognized. The specific mutual recognition mechanism is as follows:

[0028]

[0029] In the model, N j,d,CCER is the number of mutual recognition of CCER of user j on the dth day; L j,spots is the net spot consumption of user j; P j,long-green is the decomposition of the t time of the long-term contract of user j. Based on the concept of dynamic carbon emission reduction factor, the separation of green electricity in power flow can be simplified, and the user emission reduction can be calculated by combining the source and load side power generation and consumption information and the user long-term contract, so as to realize the mutual recognition of green electricity CCER. In this way, the different fulfillment characteristics of the control emission users and ordinary users are considered by the above-mentioned mode. The model can effectively guarantee that the user meets the fulfillment conditions, maximizes the user transaction benefit, and provides carbon market carbon quota transaction and CCER transaction decision support for the user.

[0030] Since the emission reduction of a single user often cannot reach the CCER application threshold, especially 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 alliance agent. It can be considered that a user virtual power plant is formed, the emission reduction of the green electricity consumption of the internal users of the user virtual power plant corresponds to the CCER, which is uniformly identified by the virtual power plant agent, and then distributed to the users. However, due to the variety of internal users of the user virtual power plant, and some users have demand response capability or are equipped with energy storage and photovoltaic power generation equipment, internal users can also interact with each other, so the dynamic carbon emission reduction factor of the external power grid metered to the virtual power plant interface cannot be directly used for user emission reduction calculation. As shown in Figure 3 , the application proposes a CCER distribution method based on Shapley value method. First, based on the characteristics of the user, it is clarified that there are two sources of green electricity consumption by the user: 1) The user generates net green electricity, which can be metered based on the smart meter. The emission reduction of this part of green electricity can be directly obtained, so the corresponding CCER can also be directly distributed. 2) The electricity purchased by the user from the virtual power plant may come from the external power grid or other users inside the virtual power plant, and the emission reduction corresponding to the green electricity cannot be directly metered, so it can be distributed based on the Shapley value method. The specific distribution principle and calculation method are as follows:

[0031]

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

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

[0034]

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

[0036] The Shapley value of the CCER allocated to user i is:

[0037]

[0038] The amount of CCER allocated to user i is:

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

[0040] wherein, G i-self,d is the mutual recognition CCER amount of the green electricity self-generated and self-used by the subject i; k i is the distribution coefficient of the subject i; and ΔG BVPP,d is the mutual recognition CCER amount of the VPP excluding the green electricity self-generated and self-used by the user subject.

[0041] In this way, the above-mentioned Shapley value method-based CCER allocation manner solves the problem of mutual recognition of CCER of the user virtual power plant agent and is fair and reasonable. The mutual recognition approach is provided for small-volume single users, ensuring that the green electricity consumed by all types of users can be identified for environmental rights and obtain relevant certificates, thereby effectively expanding the mutual recognition amount and circulation of the market, and ensuring the prosperous development of the market.

[0042] The user subjects have different compliance requirements for CCER due to different types, such as the user subjects located in the national control ranking list, which are allocated part of the free quota by the government, and the user subjects need to ensure the balance between the quota and the total amount of CCER and carbon emissions at the end of the year. The user subjects without compliance requirements can freely sell CCER certificates for benefits. Based on this, a user subject carbon trading model based on mutual recognition technology is established to maximize the user utility under the mutual recognition technology. It is set that the green electricity consumed by the user on the dth day can be converted into CCER for trading or retained for compliance on the (d+1)th day.

[0043] The control emission 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)P CEAneed is the number of carbon quotas required for compliance settlement; P cf is the user's thermal power consumption; η cf is the regional thermal power carbon emission factor, taking 0.8729; P CEAfree is the number of free quotas; ω is the free quota proportion, taking 95%. The number of mutually recognized CCERs can be obtained based on equations (1)-(10).

[0047] The transaction objective function is:

[0048]

[0049] R force is the carbon market transaction income of the control user based on mutual recognition technology; P CEA,d is the carbon quota transaction volume on the dth day, positive for sales; C CEA,d is the carbon quota market price on the dth day; P CCER,d is the CCER transaction income on the dth day; C CCER,d is the CCER market price on the dth day.

[0050] The constraint conditions are:

[0051]

[0052] In the formula, P CCER is the total amount of mutually recognized CCERs; α CCER is the allowed offset proportion of CCER, set to 10%; the constraint conditions include the total amount of CCERs that can be settled, the subject CEA, the total amount of CCERs that can be sold, the total amount of compliance, and the fund flow constraint.

[0053] For ordinary users, the mutual recognition model is the same, and the objective function is:

[0054]

[0055] In the formula, R LC is the carbon market income of the ordinary user based on mutual recognition technology.

[0056] The constraint conditions are:

[0057]

[0058] The above models are linearized models, and the user can guarantee carbon emission compliance and balance transaction benefits based on the transaction model.

[0059] In this way, by the above-mentioned manner, the different compliance characteristics of the emission control user and the ordinary user are considered. The model can effectively guarantee that the user meets the compliance condition, maximizes the user transaction benefit, and provides the user with carbon market carbon quota transaction and CCER transaction decision support.

[0060] As shown in Figure 4 The green electricity-CCER mutual recognition transaction system based on the dynamic emission reduction factor provided in the embodiment specifically implements the process.

[0061] The above embodiments are only for illustrating the technical concept and characteristics of the present application, and the purpose is to enable those skilled in the art to understand the content of the present application and to implement it, and cannot limit the protection scope of the present application. Any equivalent changes or modifications made according to the essence of the present application should be covered within the protection scope of the present application.

Claims

1. A green electricity-CCER mutual recognition transaction system based on a dynamic emission reduction factor, characterized in that, Comprise data interaction module, dynamic carbon emission reduction factor publicizing module, CCER certificate issuing module, circulation verification module; wherein, The data interaction module is used for integrating department data; The dynamic carbon emission reduction factor publicizing module is used for obtaining data of the data interaction module, and combining a dynamic carbon emission reduction factor calculation method to calculate dynamic carbon emission reduction factors of each user node and publish in real time to assist users in making dynamic adjustment of electricity consumption decisions; The CCER certificate issuing module is used for combining dynamic carbon emission reduction factors and user emission reduction amounts to verify and issue CCER certificates; The circulation verification module is used for registering CCER certificate use of users; The data interaction module is used for integrating department data to calculate dynamic carbon emission reduction factors, comprising: Obtaining data input by each department, including spot transaction data and medium and long-term contract data input by the power market, power flow data and power generation data input by the power grid dispatching department, and carbon emission factor of the power generator set and regional carbon emission factor input by the carbon emission monitoring department; The dynamic carbon emission reduction factor calculation method comprises: wherein, P i (t) represents the unit output of the power generation node i after excluding the medium and long-term contract decomposition power at time t; L j (t) represents the power consumption of the load node j after excluding the medium and long-term contract decomposition load at time t; ξ i (t) represents the power grid power generation weight factor of the power generation node i at time t; ζ j (t) represents the load power consumption weight factor of the 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 the power generation node i at time t; η G represents the carbon emission factor of the unit G; P G (t) represents the power generation of the unit G after excluding the medium and long-term contract at time t; represents the carbon emission factor of the regional power grid; β j (t) represents the dynamic carbon emission reduction factor of the load node j at time t; The CCER certificate issuing module is used for verifying based on dynamic carbon emission reduction factors and user emission reduction amounts, comprising: Based on the dynamic carbon emission reduction factor, the carbon emission reduction amount of the user side is calculated, and a corresponding amount of CCER certificates is mutually recognized, and the specific mutual recognition mechanism is as follows: Wherein, N j,d,CCER is the number of mutual recognition CCERs of user j on the dth day; L j,spots is the net spot consumption of user j; P j,long-green is the decomposition of user j's long-term signed green electricity at time t Based on the dynamic carbon emission reduction factor concept, the green electricity separation work in the power flow is simplified, the user emission reduction amount can be calculated by combining the source and load side power generation and power consumption information and the user medium and long-term contract, and the mutual recognition of green electricity CCER is realized.

2. The green electricity-CCER mutual recognition transaction system based on dynamic abatement factors according to claim 1, characterized in that, The data input by each department does not need to be publicized.

3. The green electricity-CCER mutual recognition transaction system based on dynamic abatement factors according to claim 1, characterized in that, In addition to the basic emission reduction amount information, the CCER certificate also needs to include green electricity equivalent consumption amount information, green electricity consumption date information, CCER use time limit information, mutually recognized carbon emission factor information and dynamic carbon emission reduction factor information.

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