A method and apparatus for bidirectional coordinated purging of an electrocarbon system

Abstract

This invention discloses a two-way collaborative clearing method and apparatus for an electric carbon system. The method includes: inputting carbon quota clearing cost parameters from the carbon quota supply phase into a carbon system clearing model, which outputs the expected carbon quota amount at the carbon quota acquisition end; inputting preset cost parameters from the power system into a power system clearing model, which outputs the expected power generation capacity of the power system; inputting the expected carbon quota amount and expected power generation capacity into a two-layer system equilibrium clearing model, which then performs optimization iterations and outputs clearing cost parameters and expected power generation capacity, thus completing the two-way collaborative clearing of the electric carbon system. Compared to traditional single-system clearing methods, this invention helps establish a collaborative operation mechanism for the electric carbon system. Users in the collaboratively clearing electric carbon system will experience a reduction in their electricity cost parameters within the power system, while carbon demand and interaction will decrease accordingly, thus contributing to emission reduction.

Description

Technical Field

[0001] This invention relates to a bidirectional collaborative clearing method for a system, and to the field of electrocarbon system technology, specifically to a bidirectional collaborative clearing method and apparatus for an electrocarbon system. Background Technology

[0002] With the deepening of power sector reform and carbon system construction, the inherent mechanism of coordinated operation between the electricity and carbon systems is becoming increasingly clear. First, the main players in the electricity and carbon systems highly overlap. The petrochemical, chemical, building materials, steel, non-ferrous metals, paper, and transportation industries, which are the main players in local carbon systems, have high electricity consumption and carbon emissions. Conversely, the power generation industry, as the main player in the carbon system, also has high carbon emissions. Second, the outcomes of the electricity and carbon systems interact. Electricity cost parameters are a crucial foundation for the effective transmission of carbon. Carbon costs affect the electricity cost parameters of power generation entities within the power system, altering the optimal ranking and clearing results. Electricity costs, on the other hand, are a significant factor for demand adjustment by electricity consumption entities, influencing the production and consumption structure and quantity of end-use goods and services, and determining the actual carbon emissions of these entities. In an environment of coordinated operation between the electricity and carbon systems, the equilibrium state of the power and carbon systems will change, necessitating the establishment of a coordinated operation mechanism for the electricity and carbon systems. Summary of the Invention

[0003] To address the problems existing in the background art, the present invention provides a bidirectional collaborative clearing method and apparatus for an electric carbon system. The collaborative operation mechanism of the electric carbon system of the present invention helps encourage the development and utilization of high-energy-efficiency, low-emission resources, enhances the competitiveness of entities with high comprehensive resource utilization efficiency, and stimulates the innovative application of energy-saving and emission-reduction technologies.

[0004] The technical solution adopted in this invention is:

[0005] I. A two-way coordinated clearing method for an electrocarbon system:

[0006] Step S1: Construct a carbon system clearing model based on electricity transmission. Input the carbon quota clearing cost parameters from the carbon quota supply phase into the carbon system clearing model. After processing, the carbon system clearing model outputs the expected amount of carbon quotas at the carbon quota acquisition end. The cost can be specifically measured in terms of carbon quotas or electricity consumption.

[0007] Step S2: Construct a power system clearing model based on carbon transport under power constraints. Input the preset cost parameters of the power system into the power system clearing model. After processing, the power system clearing model outputs the expected power generation of the power system.

[0008] Step S3: Construct a two-layer system equilibrium clearing model based on the power system and the carbon system. Input the expected carbon quota amount output from the carbon quota acquisition end in Step S1 and the expected power generation of the power system output in Step S2 into the two-layer system equilibrium clearing model. After optimization and iteration, the two-layer system equilibrium clearing model outputs the clearing cost parameters and expected power of the power system, thereby participating in the two-layer system equilibrium clearing and completing the bidirectional collaborative clearing of the power and carbon systems.

[0009] In step S1, the carbon system clearing model based on electricity transmission is as follows:

[0010]

[0011] st0≤q CET,s ≤q CET,auc,s

[0012]

[0013] Where, π auc,s and q CET,s These are the carbon allowance clearing cost parameters and carbon allowance supply quantity at the carbon allowance supply stage; and Let q represent the carbon allowance clearing cost parameter and the amount of carbon allowances acquired by the m-th carbon allowance acquisition end during the carbon allowance supply phase, respectively; CET,auc,s This refers to the expected amount of carbon allowances supplied during the carbon allowance supply phase. Let π be the expected carbon allowance supply at the m-th carbon allowance acquisition end during the carbon allowance supply phase, and be a positive value; auc is the carbon allowance clearing cost parameter for the carbon allowance supply side during the carbon allowance supply phase; f is the preset allocation ratio of carbon allowances; P o,t Let t be the expected electricity consumption of the carbon quota transmission participants. The carbon emission intensity benchmark value for the carbon quota transmission participants; and These represent the marginal carbon emission reduction costs at the m-th carbon quota acquisition end and the n-th carbon quota supply end, respectively; π auc,min k is the parameter representing the minimum carbon allowance clearing cost for the carbon allowance supplier during the carbon allowance supply phase. auc As a preset multiple, π c This refers to the carbon quota cost parameter; and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. The value is less than or equal to 0. The value is greater than or equal to 0; and Let be the expected carbon allowance amounts for the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end before carbon allowance transfer, respectively. and These are the preset carbon quota cost parameters and preset carbon quota amount for the m-th carbon quota acquisition end, respectively; and These are the preset cost parameters and preset amount of carbon allowances for the nth carbon allowance supplier, respectively. This represents the remaining carbon allowance at the carbon allowance transfer participant before the carbon allowance transfer. A positive value indicates that the carbon allowance transfer participant is a carbon allowance supplier, while a negative value indicates that the carbon allowance transfer participant is a carbon allowance acquirer; e o Carbon emission intensity at the carbon quota transmission participation end.

[0014] The carbon system clearing model iteratively updates the remaining carbon allowance at the m-th carbon allowance acquisition end. Obtain the updated remaining carbon allowance amount at the m-th carbon allowance acquisition end. Specifically as follows:

[0015]

[0016] The carbon allowance clearing cost parameters input into the carbon system clearing model during the carbon allowance supply phase include the carbon allowance clearing cost parameter π at the carbon allowance supply end. auc,s And the carbon allowance clearing cost parameter for the m-th carbon allowance acquisition end during the carbon allowance supply phase. The expected carbon allowance amount output by the carbon system clearing model includes the expected carbon allowance amount of the m-th carbon allowance acquisition end. And the expected carbon allowance amount on the nth carbon allowance supply side

[0017] In step S2, the power system clearing model based on carbon transport is as follows:

[0018]

[0019] in, and These represent the preset cost parameters, expected power generation, and fuel cost of the i-th generator unit in the power system during time period t, respectively, in the k-th segment. and Let π represent the preset cost parameters, expected power generation, and marginal utility of the j-th electrical load in the power system during time period t, respectively, in time period d; c This refers to the carbon quota cost parameter; and , respectively, represent the carbon emission intensity of the i-th generator unit and the j-th power load; f is the preset allocation ratio of the carbon quota; The baseline value for carbon quota allocation for the i-th generator unit. The carbon quota allocation benchmark value is set for the j-th power load. For power loads that do not participate in the carbon system, both of these carbon emission values ​​are set to 0.

[0020] The preset cost parameters of the power system input to the power system clearing model include the preset cost parameters of the i-th generating unit in the power system during time period t in the k-th period. And the preset cost parameters of the j-th power load in the power system during time period t in segment d. The expected power generation output by the power system clearing model includes the expected power generation of the i-th generating unit in the power system during time period t during time period k. And the expected power generation of the j-th electrical load in the power system during period t during period d.

[0021] The power system clearing model is applicable to situations where different types of generating units, such as thermal power, wind power, photovoltaic power, and hydropower, participate in interaction simultaneously. It also considers the output characteristics of wind power and photovoltaic power, as well as the output characteristics of hydropower and the constraints of available water volume in reservoirs.

[0022] In step S2, the power constraint is specifically as follows:

[0023]

[0024] Among them, Ψ n Let Ψ be the set of nodes containing all generator sets and electrical loads in the power system, i∈Ψ n This indicates that generator set i is located at node n, j∈Ψ n This indicates that the electrical load j is located at node n; Θ n Ω is the set of all nodes in a power system. h Let Ω be the set of all hydroelectric generator units in the power system, i∈Ω h This indicates that generator set i is a hydroelectric generator set; Let be the expected power generation of the j-th electrical load in the power system during time period t, and in time period d. Let B be the expected power output of the i-th generator unit in the power system during time period t in segment k; nm The line susceptance from node n to node m; δ n,t and δ m,t These are the voltage phase angles of the nth and mth nodes respectively during time period t; Let be the power cost parameter for the nth node in time period t; Let be the preset power of the i-th generator unit in the power system during time period t in time segment k. Let t be the preset power of the j-th electrical load in the power system during period d. and Let be the upper and lower limits of the output of the i-th generator unit in the power system during time period t, respectively, during the k-th segment. and These are the upper and lower limits of the expected load demand of the j-th electrical load in the power system during time period t, respectively, during time period d. This represents the maximum limit of line transmission power from the nth node to the mth node; Let be the minimum limit of the positive intersection coefficients of the nth node in time period t. Let be the voltage phase angle of the first node in time period t; Let u be the output coefficient of the u-th hydropower unit. and These represent the water flow rate and head of the i-th hydropower unit during time period t. Let τ be the water flow rate of the i-th hydropower unit at time τ; Δt is the unit time. Let be the maximum water consumption for power generation of the i-th hydropower unit within a given time period T.

[0025] In step S3, the two-layer system equilibrium clearing model is as follows:

[0026]

[0027]

[0028] in, and The power system clearing cost parameters for the h-th and h+1-th iterations in time period t are respectively; R ELE For the power system's balancing and clearing process; and These are the carbon transport reference cost parameters for the h-th and h+1-th iterations, respectively. Let R be the power system clearing cost parameter for time period t. CET For the clearing quantity of the power system, π CET The parameters for the clearing carbon quota cost of the carbon system; and These represent the preset cost parameter update value, expected power generation, and fuel cost of the i-th generator unit in the power system during time period t, respectively, in the k-th segment. and Let be the updated values ​​of the preset cost parameters, expected power generation, and marginal utility of the j-th electrical load in the power system during time period t, respectively, in time period d; Δt is the unit time; π c This refers to the carbon quota cost parameter; and , respectively, represent the carbon emission intensity of the i-th generator unit and the j-th power load; f is the preset allocation ratio of the carbon quota; The baseline value for carbon quota allocation for the i-th generator unit. The baseline value for carbon quota allocation for the j-th electricity load; and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end before carbon allowance transfer, respectively. and These represent the expected carbon allowance amounts for the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. Let m be the amount of carbon allowance transferred between the m-th carbon allowance acquisition point and the n-th carbon allowance supply point. The carbon allowance cost parameter is the carbon allowance cost between the m-th carbon allowance acquisition end and the n-th carbon allowance supply end. and The transmission volume and cost parameters of the carbon quota are input to the m-th carbon quota acquisition terminal, respectively. and These are the transmission volume and cost parameters of the carbon quota output by the nth carbon quota supplier. and These represent the marginal carbon emission reduction costs at the m-th carbon quota acquisition end and the n-th carbon quota supply end, respectively. P is the updated value of the remaining carbon allowance at the carbon allowance transfer participant. o,t The expected electricity consumption of the carbon quota transmission participants during time period t; e serves as the benchmark for carbon emission intensity at the carbon quota transmission participation end. o Carbon emission intensity at the carbon quota transmission participation end.

[0029] The power system clearing cost parameter output by the two-level system equilibrium clearing model after optimization and iteration is the clearing cost parameter of the h-th iteration in time period t. The expected electricity consumption is P, which represents the expected electricity consumption of the carbon quota transmission participants during time period t. o,t .

[0030] At the start of the iteration, a historical reference cost parameter for the carbon system is given. The process involves calculating the annual power system clearing cost parameters and electricity volume, obtaining the carbon quota demand from the cumulative annual power generation and consumption of carbon quota transmission participants, using this demand as the expected value for the carbon quota transmission participants in the carbon system, and obtaining the carbon system clearing cost parameters to complete one iteration. A convergence criterion is used: the error between the carbon system reference cost parameters and the power system clearing cost parameters for each time period in the two iterations is less than 1%.

[0031] II. A bidirectional coordinated cleaning device for an electro-carbon system, comprising:

[0032] The carbon system model building module is used to build carbon system clearing models based on electricity transmission.

[0033] The power system model building module is used to build a power system clearing model under power constraints based on carbon transmission.

[0034] The module for constructing the equilibrium model of the power-carbon co-system is used to build a two-layer system equilibrium clearing model based on the power system and the carbon system.

[0035] The model iteration update module is used to iteratively update the equilibrium clearing model of the two-layer system.

[0036] An electronic device according to the present invention includes: a memory and a processor coupled to each other, wherein the memory stores program data, and the processor invokes the program data to execute the method described above.

[0037] The present invention provides a computer-readable storage medium having program data stored thereon, wherein the program data, when executed by a processor, implements the method described above.

[0038] The beneficial effects of this invention are:

[0039] The present invention provides a two-way collaborative carbon clearing method for electric systems. Compared with the traditional single-system clearing method, the electricity cost parameters of users in the power system will be reduced in the collaboratively clearing electric carbon system. At the same time, carbon demand and interaction will be reduced accordingly. The effect is particularly significant for entities with high marginal emission reduction costs. It will encourage system entities to shift from input carbon quotas to actual emission reduction, and will promote the substantial emission reduction of society. Attached Figure Description

[0040] Figure 1 This is a block diagram of the bidirectional collaborative clearing method for the electrocarbon system of the present invention;

[0041] Figure 2 This is a block diagram of the bidirectional collaborative cleaning device for the electrocarbon system of the present invention;

[0042] Figure 3 This is a comparison diagram illustrating a non-cooperative clearing scenario and a cooperative clearing scenario of the method of the present invention, according to an exemplary embodiment. Figure 3 (a) is a schematic diagram illustrating the input and output costs of conventional energy generator sets in non-cooperative clearing and cooperative clearing scenarios. Figure 3 (b) is a schematic diagram of the input and output costs of new energy generator sets in the collaborative clearing scenario of the present invention. Detailed Implementation

[0043] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments. Exemplary embodiments will be described in detail here, examples of which are illustrated in the accompanying drawings. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0044] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0045] like Figure 1 As shown, the bidirectional coordinated clearing method of the electrocarbon system of the present invention is as follows:

[0046] Step S1: Construct a carbon system clearing model based on electricity transmission. Input the carbon quota clearing cost parameters from the carbon quota supply phase into the carbon system clearing model. After processing, the carbon system clearing model outputs the expected amount of carbon quotas at the carbon quota acquisition end. The cost can be specifically measured in terms of carbon quotas or electricity consumption.

[0047] The carbon system clearing model based on electricity transmission is as follows:

[0048]

[0049] st0≤q CET,s ≤q CET,auc,s

[0050]

[0051]

[0052] Where, π auc,s and q CET,s These are the carbon allowance clearing cost parameters and carbon allowance supply quantity at the carbon allowance supply stage; and Let q represent the carbon allowance clearing cost parameter and the amount of carbon allowances acquired by the m-th carbon allowance acquisition end during the carbon allowance supply phase, respectively; CET,auc,s This refers to the expected amount of carbon allowances supplied during the carbon allowance supply phase. Let π be the expected carbon allowance supply at the m-th carbon allowance acquisition end during the carbon allowance supply phase, and be a positive value; aucis the carbon allowance clearing cost parameter for the carbon allowance supply side during the carbon allowance supply phase; f is the preset allocation ratio of carbon allowances; P o,t Let t be the expected electricity consumption of the carbon quota transmission participants. The carbon emission intensity benchmark value for the carbon quota transmission participants; and These represent the marginal carbon emission reduction costs at the m-th carbon quota acquisition end and the n-th carbon quota supply end, respectively; π auc,min k is the parameter representing the minimum carbon allowance clearing cost for the carbon allowance supplier during the carbon allowance supply phase. auc As a preset multiple, π c This refers to the carbon quota cost parameter; and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. The value is less than or equal to 0. The value is greater than or equal to 0; and Let be the expected carbon allowance amounts for the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end before carbon allowance transfer, respectively. and These are the preset carbon quota cost parameters and preset carbon quota amount for the m-th carbon quota acquisition end, respectively; and These are the preset cost parameters and preset amount of carbon allowances for the nth carbon allowance supplier, respectively. This represents the remaining carbon allowance at the carbon allowance transfer participant before the carbon allowance transfer. A positive value indicates that the carbon allowance transfer participant is a carbon allowance supplier, while a negative value indicates that the carbon allowance transfer participant is a carbon allowance acquirer; e o Carbon emission intensity at the carbon quota transmission participation end.

[0053] The carbon system clearing model iteratively updates the remaining carbon allowance at the m-th carbon allowance acquisition end. Obtain the updated remaining carbon allowance amount at the m-th carbon allowance acquisition end. Specifically as follows:

[0054]

[0055] The carbon allowance clearing cost parameters input into the carbon system clearing model during the carbon allowance supply phase include the carbon allowance clearing cost parameter π at the carbon allowance supply end. auc,s And the carbon allowance clearing cost parameter for the m-th carbon allowance acquisition end during the carbon allowance supply phase. The expected carbon allowance amount output by the carbon system clearing model includes the expected carbon allowance amount of the m-th carbon allowance acquisition end. And the expected carbon allowance amount on the nth carbon allowance supply side

[0056] Step S2: Construct a power system clearing model based on carbon transport under power constraints. Input the preset cost parameters of the power system into the power system clearing model. After processing, the power system clearing model outputs the expected power generation of the power system.

[0057] The specific power system clearing model based on carbon transmission is as follows:

[0058]

[0059] in, and These represent the preset cost parameters, expected power generation, and fuel cost of the i-th generator unit in the power system during time period t, respectively, in the k-th segment. and Let π represent the preset cost parameters, expected power generation, and marginal utility of the j-th electrical load in the power system during time period t, respectively, in time period d; c This refers to the carbon quota cost parameter; and , respectively, represent the carbon emission intensity of the i-th generator unit and the j-th power load; f is the preset allocation ratio of the carbon quota; The baseline value for carbon quota allocation for the i-th generator unit. The carbon quota allocation benchmark value is set for the j-th power load. For power loads that do not participate in the carbon system, both of these carbon emission values ​​are set to 0.

[0060] The preset cost parameters of the power system input to the power system clearing model include the preset cost parameters of the i-th generating unit in the power system during time period t in the k-th period. And the preset cost parameters of the j-th power load in the power system during time period t in segment d. The expected power generation output by the power system clearing model includes the expected power generation of the i-th generating unit in the power system during time period t during time period k. And the expected power generation of the j-th electrical load in the power system during period t during period d.

[0061] The power system clearing model is applicable to situations where different types of generating units, such as thermal power, wind power, photovoltaic power, and hydropower, participate in interaction simultaneously. It also considers the output characteristics of wind power and photovoltaic power, as well as the output characteristics of hydropower and the constraints of available water volume in reservoirs.

[0062] The specific power constraints are as follows:

[0063]

[0064]

[0065] Among them, Ψ n Let Ψ be the set of nodes containing all generator sets and electrical loads in the power system, i∈Ψ n This indicates that generator set i is located at node n, j∈Ψ n This indicates that the electrical load j is located at node n; Θ n Ω is the set of all nodes in a power system. h Let Ω be the set of all hydroelectric generator units in the power system, i∈Ω h This indicates that generator set i is a hydroelectric generator set; Let be the expected power generation of the j-th electrical load in the power system during time period t, and in time period d. Let B be the expected power output of the i-th generator unit in the power system during time period t in segment k; nm The line susceptance from node n to node m; δ n,t and δ m,t These are the voltage phase angles of the nth and mth nodes respectively during time period t; Let be the power cost parameter for the nth node in time period t; Let be the preset power of the i-th generator unit in the power system during time period t in time segment k. Let t be the preset power of the j-th electrical load in the power system during period d. and Let be the upper and lower limits of the output of the i-th generator unit in the power system during time period t, respectively, during the k-th segment. and These are the upper and lower limits of the expected load demand of the j-th electrical load in the power system during time period t, respectively, during time period d. This represents the maximum limit of line transmission power from the nth node to the mth node; Let be the minimum limit of the positive intersection coefficients of the nth node in time period t. Let be the voltage phase angle of the first node in time period t; Let be the output coefficient of the i-th hydropower unit. and These represent the water flow rate and head of the i-th hydropower unit during time period t. Let τ be the water flow rate of the i-th hydropower unit at time τ; Δt is the unit time. Let be the maximum water consumption for power generation of the i-th hydropower unit within a given time period T.

[0066] Step S3: Construct a two-layer system equilibrium clearing model based on the power system and the carbon system. Input the expected carbon quota amount output from the carbon quota acquisition end in Step S1 and the expected power generation of the power system output in Step S2 into the two-layer system equilibrium clearing model. After optimization and iteration, the two-layer system equilibrium clearing model outputs the clearing cost parameters and expected power of the power system, thereby participating in the two-layer system equilibrium clearing and completing the bidirectional collaborative clearing of the power and carbon systems.

[0067] The two-layer system equilibrium clearing model is as follows:

[0068]

[0069]

[0070] in, and The power system clearing cost parameters for the h-th and h+1-th iterations in time period t are respectively; R ELE For the power system's balancing and clearing process; and These are the carbon transport reference cost parameters for the h-th and h+1-th iterations, respectively. Let R be the power system clearing cost parameter for time period t. CET For the clearing quantity of the power system, π CET The parameters for the clearing carbon quota cost of the carbon system; and These represent the preset cost parameter update value, expected power generation, and fuel cost of the i-th generator unit in the power system during time period t, respectively, in the k-th segment. and Let be the updated values ​​of the preset cost parameters, expected power generation, and marginal utility of the j-th electrical load in the power system during time period t, respectively, in time period d; Δt is the unit time; π c This refers to the carbon quota cost parameter; and , respectively, represent the carbon emission intensity of the i-th generator unit and the j-th power load; f is the preset allocation ratio of the carbon quota; The baseline value for carbon quota allocation for the i-th generator unit. The baseline value for carbon quota allocation for the j-th electricity load; and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end before carbon allowance transfer, respectively. and These represent the expected carbon allowance amounts for the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. Let m be the amount of carbon allowance transferred between the m-th carbon allowance acquisition point and the n-th carbon allowance supply point. The carbon allowance cost parameter is the carbon allowance cost between the m-th carbon allowance acquisition end and the n-th carbon allowance supply end. and The transmission volume and cost parameters of the carbon quota are input to the m-th carbon quota acquisition terminal, respectively. and These are the transmission volume and cost parameters of the carbon quota output by the nth carbon quota supplier. and These represent the marginal carbon emission reduction costs at the m-th carbon quota acquisition end and the n-th carbon quota supply end, respectively. P is the updated value of the remaining carbon allowance at the carbon allowance transfer participant. o,t The expected electricity consumption of the carbon quota transmission participants during time period t; e serves as the benchmark for carbon emission intensity at the carbon quota transmission participation end. o Carbon emission intensity at the carbon quota transmission participation end.

[0071] The power system clearing cost parameter output by the two-level system equilibrium clearing model after optimization and iteration is the clearing cost parameter of the h-th iteration in time period t. The expected electricity consumption is P, which represents the expected electricity consumption of the carbon quota transmission participants during time period t. o,t .

[0072] At the start of the iteration, a historical reference cost parameter for the carbon system is given. The process involves calculating the annual power system clearing cost parameters and electricity volume, obtaining the carbon quota demand from the cumulative annual power generation and consumption of carbon quota transmission participants, using this demand as the expected value for the carbon quota transmission participants in the carbon system, and obtaining the carbon system clearing cost parameters to complete one iteration. A convergence criterion is used: the error between the carbon system reference cost parameters and the power system clearing cost parameters for each time period in the two iterations is less than 1%.

[0073] like Figure 2 As shown, the bidirectional coordinated clearing device for the electric carbon system of the present invention includes a carbon system model building module, a power system model building module, an electric-carbon coordinated system equilibrium model building module, and a model iteration update module. The carbon system model building module is used to build a carbon system clearing model based on power transmission; the power system model building module is used to build a power system clearing model based on carbon transmission under power constraints; the electric-carbon coordinated system equilibrium model building module is used to build a two-layer system equilibrium clearing model based on the power system and the carbon system; and the model iteration update module is used to iteratively update the two-layer system equilibrium clearing model.

[0074] like Figure 3 (a) and Figure 3As shown in (b), in the traditional non-cooperative clearing scenario, renewable energy generators have a significant competitive advantage in the power system. The clearing result tends to call on renewable energy generators for power supply, while conventional energy generators play a backup role, and their output curves are roughly consistent with the power load. In the cooperative clearing scenario proposed in this invention, January and February are the peak heating season, during which carbon emission restrictions are relatively strict, carbon emission cost parameters are high, and the output of conventional energy generators is significantly reduced. In April, May, October, and November, some renewable energy generators with high output uncertainty are eliminated during the clearing process, and the cleared electricity of conventional energy generators increases significantly to increase the reliability of the system power supply.

[0075] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this application according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0076] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0077] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A bidirectional coordinated clearing method for an electrocarbon system, characterized in that, include: Step S1: Construct a carbon system clearing model based on electricity transmission. Input the carbon quota clearing cost parameters of the carbon quota supply stage into the carbon system clearing model. After processing, the carbon system clearing model outputs the expected carbon quota amount at the carbon quota acquisition end. Step S2: Construct a power system clearing model based on carbon transport under power constraints. Input the preset cost parameters of the power system into the power system clearing model. After processing, the power system clearing model outputs the expected power generation of the power system. Step S3: Construct a two-layer system equilibrium clearing model based on the power system and the carbon system. Input the expected carbon quota amount output from the carbon quota acquisition end in step S1 and the expected power generation of the power system output in step S2 into the two-layer system equilibrium clearing model. After optimization and iteration, the two-layer system equilibrium clearing model outputs the clearing cost parameters and expected power of the power system, thereby participating in the two-layer system equilibrium clearing and completing the bidirectional collaborative clearing of the power and carbon systems. In step S3, the two-layer system equilibrium clearing model is as follows: in, and Time periods The power system clearing cost parameters for the h-th and h+1-th iterations; For the power system's balancing and clearing process; and These are the carbon transport reference cost parameters for the h-th and h+1-th iterations, respectively. for The power system clearing cost parameters for a given time period. For the clearing of the power system, The parameters for the clearing carbon quota cost of the carbon system; , and They are respectively The first time period in the power system The generator set was at the Updated values ​​of preset cost parameters, expected power generation, and fuel cost for the segment; , and They are respectively The first time period in the power system The power load in the first Updated values ​​of the preset cost parameters, expected power generation, and marginal utility of the segment; Unit of time; This refers to the carbon quota cost parameter; and The first The generator set and the first Carbon emission intensity of each electricity load; The preset allocation ratio for carbon quotas; For the first The baseline value for carbon quota allocation for generator sets. For the first Benchmark values ​​for carbon quota allocation for each electricity load; and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end before carbon allowance transfer, respectively. and These represent the expected carbon allowance amounts for the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. Let m be the amount of carbon allowance transferred between the m-th carbon allowance acquisition point and the n-th carbon allowance supply point. The carbon allowance cost parameter is the carbon allowance cost between the m-th carbon allowance acquisition end and the n-th carbon allowance supply end. and The transmission volume and cost parameters of the carbon quota are input to the m-th carbon quota acquisition terminal, respectively. and These are the transmission volume and cost parameters of the carbon quota output by the nth carbon quota supplier. and These represent the marginal carbon emission reduction costs at the m-th carbon quota acquisition end and the n-th carbon quota supply end, respectively. This is the updated value of the remaining carbon allowance at the carbon allowance transfer participant. For time period Expected electricity consumption at the carbon quota transmission participants; This serves as a benchmark value for carbon emission intensity at the carbon quota transmission participation end. Carbon emission intensity at the carbon quota transmission participation end; The power system clearing cost parameter output by the two-level system equilibrium clearing model after optimization and iteration is the time period. The clearing cost parameter for the h-th iteration Expected electricity consumption during the time period Expected electricity consumption at carbon quota transmission participants .

2. The bidirectional coordinated clearing method for an electrocarbon system according to claim 1, characterized in that: In step S1, the carbon system clearing model based on electricity transmission is as follows: in, and These are the carbon allowance clearing cost parameters and carbon allowance supply volume for the nth carbon allowance supplier during the carbon allowance supply phase, respectively. and These are the carbon allowance clearing cost parameters and carbon allowance acquisition amount for the m-th carbon allowance acquisition end during the carbon allowance supply phase, respectively. This refers to the expected amount of carbon allowances supplied during the carbon allowance supply phase. Let m be the expected carbon allowance supply at the m-th carbon allowance acquisition end during the carbon allowance supply phase; The carbon allowance clearing cost parameter for the carbon allowance supply side during the carbon allowance supply stage; The preset allocation ratio for carbon quotas; For time period Expected electricity consumption at the carbon quota transmission participants The carbon emission intensity benchmark value for the carbon quota transmission participants; and These represent the marginal carbon emission reduction costs at the m-th carbon quota acquisition end and the n-th carbon quota supply end, respectively. This is the minimum carbon allowance clearing cost parameter for the carbon allowance supplier during the carbon allowance supply phase. For preset multiples, This refers to the carbon quota cost parameter; and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. and Let be the expected carbon allowance amounts for the m-th carbon allowance acquisition end and the n-th carbon allowance supply end, respectively. and These represent the remaining carbon allowances at the m-th carbon allowance acquisition end and the n-th carbon allowance supply end before carbon allowance transfer, respectively. and These are the preset carbon quota cost parameters and preset carbon quota amount for the m-th carbon quota acquisition end, respectively; and These are the preset cost parameters and preset amount of carbon allowances for the nth carbon allowance supplier, respectively. This represents the remaining amount of carbon quotas at the carbon quota transfer participant before the carbon quota transfer. A positive value indicates that the carbon quota transfer participant is a carbon quota supplier, while a negative value indicates that the carbon quota transfer participant is a carbon quota acquirer. Carbon emission intensity at the carbon quota transmission participation end; The carbon system clearing model iteratively updates the remaining carbon allowance at the m-th carbon allowance acquisition end. Obtain the updated remaining carbon allowance amount at the m-th carbon allowance acquisition end. The details are as follows: The carbon allowance clearing cost parameters input into the carbon system clearing model during the carbon allowance supply phase include the carbon allowance clearing cost parameters at the carbon allowance supply end during the carbon allowance supply phase. And the carbon allowance clearing cost parameter for the m-th carbon allowance acquisition end during the carbon allowance supply phase. The expected carbon allowance amount output by the carbon system clearing model includes the expected carbon allowance amount for the m-th carbon allowance acquisition end. And the expected carbon allowance amount on the nth carbon allowance supply side .

3. The bidirectional coordinated clearing method for an electrocarbon system according to claim 1, characterized in that: In step S2, the power system clearing model based on carbon transport is as follows: in, , and They are respectively The first time period in the power system The generator set was at the The preset cost parameters, expected power generation, and fuel cost of the segment; , and They are respectively The first time period in the power system The power load in the first The preset cost parameters, expected power generation, and marginal utility of the segment; Unit of time; This refers to the carbon quota cost parameter; and The first The generator set and the first Carbon emission intensity of each electricity load; The preset allocation ratio for carbon quotas; For the first The baseline value for carbon quota allocation for generator sets. For the first Benchmark values ​​for carbon quota allocation for each electricity load; The preset cost parameters of the power system input to the power system clearing model include: The first time period in the power system The generator set was at the Preset cost parameters of the segment as well as The first time period in the power system The power load in the first Preset cost parameters of the segment The expected power generation output of the power system clearing model includes... The first time period in the power system The generator set was at the Expected power generation of the segment as well as The first time period in the power system The power load in the first Expected power generation of the segment .

4. The bidirectional coordinated clearing method for an electrocarbon system according to claim 3, characterized in that: In step S2, the power constraint is specifically as follows: in, It is the set of nodes where all generator sets and electrical loads are located in the power system; It is the set of all nodes in a power system; It is a collection of various hydroelectric generator units in a power system; for The first time period in the power system The power load in the first The expected power generation of the segment, for The first time period in the power system The generator set was at the The expected power generation of the segment; For the first The node to the first Line susceptance at each node; and They are respectively Time period The node and the first Voltage phase angle at each node; for Time period Electricity cost parameters for each node; for The first time period in the power system The generator set was at the Preset battery level for the segment for The first time period in the power system The power load in the first Preset battery level for the segment; and They are respectively The first time period in the power system The generator set was at the The upper and lower limits of the segment's output. and They are respectively The first time period in the power system The power load in the first The upper and lower limits of the projected load demand for the segment; For the first The node to the first The maximum line transmission power limit of each node; for Time period The minimum limit of the positive intersection coefficients of nodes, for The voltage phase angle of the first node in the time period; For the first The output coefficient of each hydropower unit and They are respectively Time period The water flow and head of each hydroelectric generator unit for Time of the first Water flow rate of each hydroelectric generator unit; Unit of time; For a given time period Inner The maximum water consumption for power generation of each hydropower unit.

5. A bidirectional coordinated purging device for an electrocarbon system suitable for the method described in any one of claims 1-4, characterized in that, include: The carbon system model building module is used to build carbon system clearing models based on electricity transmission. The power system model building module is used to build a power system clearing model under power constraints based on carbon transmission. The module for constructing the equilibrium model of the power-carbon co-system is used to build a two-layer system equilibrium and clearing model based on the power system and the carbon system. The model iteration update module is used to iteratively update the equilibrium clearing model of the two-layer system.

6. An electronic device, characterized in that, include: A memory and a processor are coupled to each other, wherein the memory stores program data, and the processor invokes the program data to perform the method as described in any one of claims 1-4.

7. A computer-readable storage medium storing program data thereon, characterized in that, When the program data is executed by the processor, it implements the method as described in any one of claims 1-4.

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