Green electricity transaction carbon emission accounting system and method

Abstract

The invention discloses a green electricity transaction carbon emission accounting system and method, and relates to the technical field of green electricity transaction. The system comprises a calculation module, a green power module, a thermal power generation module, a power grid module, an energy storage module and a green evidence module, the thermal power generation module establishes communication with a thermal power plant, the thermal power generation module collects the thermal power generation power and the unit utilization rate of the thermal power plant and transmits the thermal power generation power and the unit utilization rate to the calculation module, and the green power module establishes communication with a green power generation side. The green power generation side comprises a photovoltaic power plant, a wind power plant, a hydroelectric power plant and a biomass power plant, the contribution index of the green power generation side in the power grid is obtained by calculating Q1, Q2, Q3 and Q4, the contribution index represents that the green power actually plays a positive role in the power grid, and therefore the actual value of the green power in the power grid can be well measured by issuing a green certificate. The electricity-carbon ratio of the green electricity carbon trading market is more reasonable, and industry development is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of green electricity trading, and in particular to a green electricity trading carbon emission accounting system and method. Background Art

[0002] Green electricity refers to electricity converted from renewable energy sources such as wind, solar, hydro, and biomass. These energies produce almost no pollutants during the power generation process, and can significantly reduce air pollution and greenhouse gas emissions compared to traditional fossil fuel power generation. In fact, the defects of green electricity are strong randomness, obvious intermittency, large fluctuations, and irregular fluctuations. The access of a large number of green electricity devices will have a great impact on the stability of the current power grid. Patent 1 (publication number: CN116187522A) discloses a virtual power plant optimization scheduling method considering carbon trading and green certificates. The invention is based on power-to-gas technology. Through the virtual power plant, wind power and photovoltaic power that are difficult to consume are converted into natural gas that is easy to store, and renewable and clean energy is absorbed to achieve peak shaving and valley filling, so as to coordinate the impact of renewable energy on the power grid. Through the traded carbon emission quotas and green certificates, the operating costs of the virtual power plant can be greatly compensated. The implementation of the green certificate mechanism can effectively improve the economic benefits of the virtual power plant system based on renewable energy power generation; Patent 2 (publication number: CN117808565B) discloses a virtual power plant multi-time period bidding method considering green certificates and carbon trading. In the operation of the virtual power plant, it realizes innovative strategies of participating in multiple types of electricity markets, aggregating electric vehicles, and stimulating user demand response behavior, which can reduce the cost of the virtual power plant during peak hours, thereby improving the economic benefits of the virtual power plant.

[0003] Patent 1 improves the economic benefits of virtual power plants through green certificate trading compensation, and Patent 2 improves the economic benefits of virtual power plants through multi-time period bidding. However, for the electricity consumption side of the power grid, the electricity demand also changes in real time and is unpredictable. When the electricity produced by green power equipment does not match the demand on the power grid consumption side, thermal power plants or virtual power plants need to intervene to participate in grid regulation. The value of green electricity changes in real time according to the demand on the electricity consumption side and the supply on the power generation side. Patent 1 only stimulates virtual power plants to regulate the power grid through economic compensation, and does not point out the market volatility characteristics of green electricity. Patent 2 only optimizes the green electricity carbon trading market through multi-time period bidding, which is not enough to bring out the actual value of green electricity. Therefore, issuing green certificates based on the actual value of green electricity in the power grid is a technical problem that technical personnel in this field need to solve. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a green electricity trading carbon emissions accounting system and method, which solves the problems raised in the above background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a green electricity trading carbon emissions accounting system, including a calculation module, a green electricity module, a thermal power generation module, a power grid module, an energy storage module and a green certificate module.

[0006] The thermal power generation module establishes communication with the thermal power plant, the thermal power generation module collects the thermal power generation power and unit utilization rate of the thermal power plant and transmits them to the calculation module, the green power module establishes communication with the green power generation side respectively, the green power generation side includes a photovoltaic power plant, a wind power plant, a hydropower plant and a biomass power plant, the green power module collects the photovoltaic power generation power Pi of the photovoltaic power plant, the green power module collects the wind power generation power Pf of the wind power plant, the green power module collects the hydropower generation power Pw of the hydropower plant, the green power module collects the biomass power generation power Ps of the biomass power plant, and the green power module transmits the photovoltaic power generation power Pi, the wind power generation power Pf, the hydropower generation power Pw and the biomass power generation power Ps to the calculation module;

[0007] The power grid module establishes communication with the power consumption side of the power grid, the power grid module collects the topological network structure of the power grid and transmits it to the calculation module, the power grid module simultaneously collects the power demand and location of the power consumption side and transmits them to the calculation module, the energy storage module establishes communication with the energy storage mechanism, the energy storage module collects the electric energy absorption of the energy storage mechanism and transmits it to the calculation module, the calculation module is used to calculate and analyze the contribution index of each green electricity generation side, and transmit the contribution index to the green certificate module, and the green certificate module issues a green certificate to each green electricity generation side according to the contribution index.

[0008] A method for calculating carbon emissions from green electricity trading is implemented based on a calculation module, a green electricity module, a thermal power generation module, a power grid module, an energy storage module, and a green certificate module, and includes the following steps:

[0009] Step 1: Obtaining the generated power, the green power module transmits the photovoltaic power Pi, wind power Pf, hydropower Pw and biomass power Ps to the calculation module, and the thermal power generation module transmits the thermal power generation Ph to the calculation module;

[0010] Step 2: Calculate the green electricity supply volatility, the calculation module executes the power generation volatility program to obtain the photovoltaic power generation volatility r1, wind power generation volatility r2, hydropower generation volatility r3 and biomass power generation volatility r4;

[0011] Step 3: Calculate the first contribution weight Q1 of thermal power generation, the calculation module obtains the unit utilization rate η from the thermal power generation module, and the calculation module executes the thermal power generation weight program to obtain the first contribution weight Q1 of thermal power generation;

[0012] Step 4: Obtaining the power demand and location of the power consumption side, the calculation module obtains the power demand and location of the power consumption side from the power grid module;

[0013] Step 5: Classify the power consumption side according to the location. The calculation module classifies the power consumption side according to the topological network structure of the power grid and the location of the power consumption side, and divides the power consumption side into two categories: the proximal power consumption side and the distal power consumption side.

[0014] Step 6: Analyze the second contribution weight Q2 of the near-end power consumption side, and the calculation module executes the near-end power transmission weight program to obtain the second contribution weight Q2;

[0015] Step 7: Analyze the third contribution weight Q3 of the remote power consumption side, and the calculation module executes the remote power transmission weight program to obtain the third contribution weight Q3;

[0016] Step 8: analyzing the fourth contribution weight Q4 of the energy storage mechanism, and the calculation module executes the energy storage weight program to obtain the fourth contribution weight Q4;

[0017] Step 9: Comprehensively calculate the electric-to-carbon ratio. The calculation module obtains a contribution index by adding the first contribution weight Q1, the second contribution weight Q2, the third contribution weight Q3 and the fourth contribution weight Q4. The calculation module calculates the contribution index according to the formula Calculate the electricity-to-carbon ratio, which refers to the exchange ratio of green electricity and carbon emission rights in the trading market;

[0018] Step 10: Issue green certificates. The calculation module transmits the obtained electricity-to-carbon ratio to the green certificate module. The green certificate module multiplies the electricity-to-carbon ratio by the original number of green certificates to obtain the calculated number of green certificates. The green certificate module issues the green certificate to the corresponding green electricity generation side based on the signature of the calculated number of green certificates.

[0019] Furthermore, the power generation fluctuation rate program specifically includes the following steps:

[0020] Step 21: The calculation module collects the photovoltaic power Pi once every 1 second at a fixed time period, and the number of collections is n. The calculation module calculates and establishes a photovoltaic power curve table. The horizontal axis of the photovoltaic power curve table is time, and the vertical axis is power generation. The calculation module imports the photovoltaic power Pi into the photovoltaic power curve table to fit the photovoltaic power generation curve. The calculation module calculates the integral of the area of ​​the photovoltaic power generation curve to obtain the photovoltaic power generation ∑Pi. The calculation module calculates according to the formula Calculate the average photovoltaic power Pi avg , the calculation module adds the photovoltaic power generation ΣPi, the wind power generation ΣPf, the hydropower generation ΣPw and the biomass power generation ΣPs to obtain the green power generation;

[0021] Step 22: The calculation module calculates the photovoltaic power Pi collected in all time periods and the average power Pi avgSubtract the difference to get the photovoltaic power;

[0022] Step 23: The calculation module squares all the differences and sums them up, according to the formula f Pi =Σ(Pi-Pi avg ) 2 Calculate the variance and f of the photovoltaic power generation curve Pi ;

[0023] Step 24: The calculation module converts the variance and f Pi Divide by (n-1) and take the square root of the result. The calculation module divides the square root result by the average photovoltaic power generation power Pi avg Multiply it by 100% to get the photovoltaic power generation fluctuation rate r1 of the photovoltaic power Pi;

[0024] Step 25: The calculation module collects wind power generation power Pf once every 1 second at a fixed time period, and the number of collections is n. The calculation module calculates and establishes a wind power curve table. The horizontal axis of the wind power curve table is time, and the vertical axis is power generation power. The calculation module imports the wind power generation power Pf into the wind power curve table to fit the wind power generation curve. The calculation module calculates the integral of the area of ​​the wind power generation curve to obtain the wind power generation ΣPf. The calculation module calculates the integral of the area of ​​the wind power generation curve to obtain the wind power generation ΣPf according to the formula Calculate the average wind power generation power Pf avg The calculation module calculates the wind power generation power Pf collected in all time periods and the average power generation power Pf avg Subtract the wind power difference, and the calculation module sums up the squares of all wind power differences. According to the formula f Pf =Σ(Pf-Pf avg ) 2 Calculate the variance and f of the wind power generation curve Pf , the calculation module will be the variance and f Pf Divide by (n-1) and take the square root of the result. The calculation module divides the square root result by the average wind power generation power Pf avg Multiply it by 100% to get the wind power generation fluctuation rate r2 of the wind power generation power Pf;

[0025] The calculation module collects the hydropower power Pw once every 1 second at a fixed time period, and the number of collections is n. The calculation module calculates and establishes a hydraulic power curve table. The horizontal axis of the hydraulic power curve table is time, and the vertical axis is the power generation. The calculation module imports the hydropower power Pw into the hydraulic power curve table to fit the hydropower curve. The calculation module calculates the integral of the area of ​​the hydropower curve to obtain the hydropower generation ∑Pw. The calculation module calculates the hydropower generation according to the formula Calculate the average hydroelectric power Pw avg The calculation module combines the hydropower generation power Pf collected in all time periods with the average power generation power Pw avgSubtract the hydraulic power difference, and the calculation module sums up the squares of all hydraulic power differences. According to the formula f Pw =∑(Pw-Pw avg ) 2 Calculate the variance and f of the hydroelectric power curve Pw , the calculation module will be the variance and f Pw Divide by (n-1) and take the square root of the result. The calculation module divides the square root result by the average hydropower power Pw avg Multiply it by 100% to get the hydroelectric power fluctuation rate r3 of the hydroelectric power Pw;

[0026] The calculation module collects the biomass power generation power Ps once every 1 second at a fixed time period, and the number of collections is n. The calculation module calculates and establishes a biomass power curve table. The horizontal axis of the biomass power curve table is time, and the vertical axis is power generation. The calculation module imports the biomass power generation power Ps into the biomass power curve table to fit the biomass power generation curve. The calculation module calculates the integral of the area of ​​the biomass power generation curve to obtain the biomass power generation ∑Ps. The calculation module calculates the biomass power generation curve according to the formula Calculate the average power of biomass power generation Ps avg The calculation module combines the biomass power generation Pf and the average power generation Ps collected in all time periods avg Subtract the difference in biomass power to obtain the difference. The calculation module sums up the squares of all biomass power differences. According to the formula f Ps =Σ(Ps-Ps avg ) 2 Calculate the variance and f of the biomass power generation curve Ps , the calculation module will be the variance and f Ps Divide by (n-1) and take the square root of the result. The calculation module divides the square root result by the average power of biomass power generation Ps avg Multiply it by 100% to get the biomass power generation fluctuation rate r4 of the biomass power generation power Ps, and execute the thermal power generation weight program.

[0027] Furthermore, the thermal power generation weight procedure specifically includes the following steps:

[0028] Step 31: The calculation module is based on the following formula:

[0029] Calculate the green electricity volatility R, where ω1 is the proportion of photovoltaic power generation ΣPi in green electricity generation, ω2 is the proportion of wind power generation ΣPf in green electricity generation, ω3 is the proportion of hydropower generation ΣPw in green electricity generation, and ω4 is the proportion of biomass power generation ΣPs in green electricity generation;

[0030] Step 32: Calculate the module according to the formula The first contribution weight Q1 of thermal power generation is obtained by calculation.

[0031] Furthermore, the classification method of the electricity consumption side specifically includes the following steps:

[0032] Step 51: The calculation module counts the number of nodes y transmitted from the green power generation side to each power consumption side through the topological network structure according to the location of the power consumption side, and obtains the transmission distance from the green power generation side to each power consumption side by multiplying the distance between each node by the number of nodes y and marks it as dx = [d1, d2, d3, ..., dm]. The distance between each node is a fixed value, generally 100 kilometers, and the number of power consumption sides is m. The calculation module inputs the thermal power generation power Ph into the formula The per-unit value D is calculated, where Rv is the impedance of the circuit between the nodes. The impedance Rv is a constant value, which is determined by the size of the resistance Ro, inductance L, capacitance C in the circuit and the frequency Fv of the alternating current. The impedance Rv is determined by the formula Rv=Ro+(X L -X C ) is calculated, X L is the inductive reactance, according to the formula X L =2π×Fv×L, X C is the capacitive reactance, according to the formula The impedance Rv related calculation is obtained by calculation, which is an existing technical means in the field of power system and will not be described in detail here;

[0033] Step 52: The calculation module compares each element in dx with the per-unit value D. When the element in dx is greater than or equal to the per-unit value D, the power consumption measurement corresponding to the element in dx is marked as the far-end power consumption side. When the element in dx is less than the per-unit value D, the power consumption measurement corresponding to the element in dx is marked as the near-end power consumption side.

[0034] Furthermore, the near-end power transmission weight procedure specifically includes the following steps:

[0035] Step 61: The calculation module adds the photovoltaic power Pi, wind power Pf, hydropower Pw and biomass power Ps to obtain the total green power. The calculation module counts the power demand of all near-end power users. The power demand represents the actual power consumption of the power user. When the total green power is greater than or equal to the power demand of the near-end power user, it means that the power supply of the near-end power user is saturated. The second contribution weight Q2 is the proportion of the near-end power user in the power user. Subtracting the power demand of all near-end power users from the total green power to obtain the secondary green power total power. The calculation module outputs the secondary green power total power to the remote power transmission weight program. Conversely, when the total green power is less than the power demand of the near-end power user, the next step 62 is executed.

[0036] Step 62: Calculate the module according to the formula The second contribution weight Q2 is calculated and obtained. At this time, the third contribution weight Q3 and the fourth contribution weight Q4 are both 0, and the process jumps to step 9;

[0037] The remote power transmission weight procedure specifically includes the following steps:

[0038] Step 71: The calculation module counts the power demand of all remote power users. When the total power of the secondary green electricity is greater than or equal to the power demand of the remote power user, it means that the power supply of the remote power user is saturated. The third contribution weight Q3 is calculated according to the formula The calculation module obtains the total power of the tertiary green electricity by subtracting the power demand of all remote power users from the total power of the secondary green electricity. The calculation module outputs the total power of the tertiary green electricity to the energy storage weight program. On the contrary, when the total power of the secondary green electricity is less than the power demand of the remote power user, the next step 72 is executed.

[0039] Step 72: Calculation module according to formula The third contribution weight Q3 is calculated and obtained. At this time, the fourth contribution weight Q4 is 0, and the process jumps to step 9;

[0040] The energy storage weighting procedure specifically includes the following steps:

[0041] Step 81: The calculation module obtains the energy absorption capacity of the energy storage mechanism from the energy storage module. When the total power of the three green electricity is greater than or equal to the energy absorption capacity, it means that the power absorption capacity of the energy storage mechanism is saturated. The fourth contribution weight Q4 is calculated according to the formula The electric energy that cannot be absorbed by the energy storage mechanism is calculated by reducing the number of equipment in operation on the green power generation side or reducing the unit utilization rate η of the thermal power plant, which is not within the scope of the present invention and will not be described in detail here. When the total power of the three green electricity is less than the electric energy absorption amount, the next step 82 is executed;

[0042] Step 82: Calculation module according to formula The fourth contribution weight Q4 is calculated and the next step 9 is executed.

[0043] The present invention has the following beneficial effects:

[0044] By calculating Q1, Q2, Q3 and Q4, we get the contribution index of green electricity generation in the power grid, which represents the actual positive role played by green electricity in the power grid. Issuing green certificates in this way can well measure the actual value of green electricity in the power grid, making the electricity-to-carbon ratio of the green electricity carbon trading market more reasonable and facilitating the development of the industry.

[0045] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0047] Figure 1 This is a block diagram of a carbon emission accounting system for green electricity trading according to the present invention;

[0048] Figure 2 This is a flow chart of a method for calculating carbon emissions in green electricity trading according to the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] See also Figure 1 The present invention provides a technical solution: a green electricity trading carbon emissions accounting system and method, including a calculation module, a green electricity module, a thermal power generation module, a power grid module, an energy storage module and a green certificate module.

[0051] The thermal power generation module establishes communication with the thermal power plant. The thermal power generation module collects the thermal power generation power and unit utilization rate of the thermal power plant and transmits them to the calculation module. The green power module establishes communication with the green power generation side respectively. The green power generation side includes photovoltaic power plants, wind power plants, hydropower plants and biomass power plants. The green power module collects the photovoltaic power generation power Pi of the photovoltaic power plant, the wind power generation power Pf of the wind power plant, the hydropower generation power Pw of the hydropower plant, and the biomass power generation power Ps of the biomass power plant. The green power module transmits the photovoltaic power generation power Pi, the wind power generation power Pf, the hydropower generation power Pw and the biomass power generation power Ps to the calculation module.

[0052] The power grid module establishes communication with the power consumption side of the power grid. The power grid module collects the topological network structure of the power grid and transmits it to the calculation module. The power grid module also collects the power demand and location of the power consumption side and transmits it to the calculation module. The energy storage module establishes communication with the energy storage mechanism. The energy storage module collects the electric energy absorption of the energy storage mechanism and transmits it to the calculation module. The calculation module is used to calculate and analyze the contribution index of each green electricity generation side, and transmit the contribution index to the green certificate module. The green certificate module issues a green certificate to each green electricity generation side according to the contribution index.

[0053] A method for calculating carbon emissions from green electricity trading is implemented based on a calculation module, a green electricity module, a thermal power generation module, a power grid module, an energy storage module and a green certificate module. Figure 2 As shown, the following steps are included:

[0054] Step 1: Obtain the power generation. The green power module transmits the photovoltaic power generation Pi, wind power generation Pf, hydropower generation Pw and biomass power generation Ps to the calculation module, and the thermal power generation module transmits the thermal power generation Ph to the calculation module;

[0055] Step 2: Calculate the green electricity supply volatility. The calculation module executes the power generation volatility program to obtain the photovoltaic power generation volatility r1, wind power generation volatility r2, hydropower generation volatility r3 and biomass power generation volatility r4;

[0056] Step 3: Calculate the first contribution weight Q1 of thermal power generation. The calculation module obtains the unit utilization rate η from the thermal power generation module. The calculation module executes the thermal power generation weight program to obtain the first contribution weight Q1 of thermal power generation.

[0057] Step 4: Obtain the power demand and location of the power consumption side. The calculation module obtains the power demand and location of the power consumption side from the power grid module;

[0058] Step 5: Classify the power consumption side according to the location. The calculation module classifies the power consumption side according to the topological network structure of the power grid and the location of the power consumption side, and divides it into two categories: the near-end power consumption side and the far-end power consumption side;

[0059] Step 6: Analyze the second contribution weight Q2 of the near-end power consumption side, and the calculation module executes the near-end power transmission weight program to obtain the second contribution weight Q2;

[0060] Step 7: Analyze the third contribution weight Q3 of the remote power consumption side, and the calculation module executes the remote power transmission weight program to obtain the third contribution weight Q3;

[0061] Step 8: Analyze the fourth contribution weight Q4 of the energy storage mechanism, and the calculation module executes the energy storage weight program to obtain the fourth contribution weight Q4;

[0062] Step 9: Comprehensively calculate the electricity-to-carbon ratio. The calculation module adds the first contribution weight Q1, the second contribution weight Q2, the third contribution weight Q3 and the fourth contribution weight Q4 to obtain the contribution index. The calculation module calculates the contribution index according to the formula Calculate the electricity-to-carbon ratio, which refers to the exchange ratio of green electricity and carbon emission rights in the trading market;

[0063] Step 10: Issue green certificates. The calculation module transmits the obtained electricity-to-carbon ratio to the green certificate module. The green certificate module multiplies the electricity-to-carbon ratio with the original number of green certificates to obtain the calculated number of green certificates. The green certificate module issues the green certificate to the corresponding green electricity generation side based on the signature of the calculated number of green certificates.

[0064] The power generation fluctuation rate procedure specifically includes the following steps:

[0065] Step 21: The calculation module collects the photovoltaic power Pi once every 1 second at a fixed time period, and the number of collections is n. The calculation module calculates and establishes a photovoltaic power curve table. The horizontal axis of the photovoltaic power curve table is time, and the vertical axis is power generation. The calculation module imports the photovoltaic power Pi into the photovoltaic power curve table to fit the photovoltaic power generation curve. The calculation module calculates the integral of the photovoltaic power generation curve area to obtain the photovoltaic power generation ∑Pi. The calculation module uses the formula Calculate the average photovoltaic power Pi avg , the calculation module adds the photovoltaic power generation ∑Pi, wind power generation ∑Pf, hydropower generation ∑Pw and biomass power generation ∑Ps to obtain the green power generation;

[0066] Step 22: The calculation module calculates the photovoltaic power Pi collected in all time periods and the average power Pi avg Subtract the difference to get the photovoltaic power;

[0067] Step 23: The calculation module squares all the differences and sums them up, according to the formula f Pi =∑(Pi-Pi avg ) 2 Calculate the variance and f of the photovoltaic power generation curve Pi ;

[0068] Step 24: The calculation module converts the variance and f Pi Divide by (n-1) and take the square root of the result. The calculation module divides the square root result by the average photovoltaic power generation power Pi avg Multiply it by 100% to get the photovoltaic power generation fluctuation rate r1 of the photovoltaic power Pi;

[0069] Step 25: The calculation module collects wind power generation power Pf once every 1 second at a fixed time period, and the number of collections is n. The calculation module calculates and establishes a wind power curve table. The horizontal axis of the wind power curve table is time, and the vertical axis is power generation power. The calculation module imports the wind power generation power Pf into the wind power curve table to fit the wind power generation curve. The calculation module calculates the integral of the area of ​​the wind power generation curve to obtain the wind power generation ΣPf. The calculation module calculates the integral of the area of ​​the wind power generation curve to obtain the wind power generation ΣPf according to the formula Calculate the average wind power generation power Pf avg The calculation module calculates the wind power generation power Pf collected in all time periods and the average power generation power Pf avg Subtract the wind power difference, and the calculation module sums up the squares of all wind power differences. According to the formula f Pf =Σ(Pf-Pf avg ) 2 Calculate the variance and f of the wind power generation curvePf , the calculation module will be the variance and f Pf Divide by (n-1) and take the square root of the result. The calculation module divides the square root result by the average wind power generation power Pf avg Multiply it by 100% to get the wind power generation fluctuation rate r2 of the wind power generation power Pf;

[0070] The calculation module collects the hydropower power Pw once every 1 second at a fixed time period, and the number of collections is n. The calculation module calculates and establishes a hydraulic power curve table. The horizontal axis of the hydraulic power curve table is time, and the vertical axis is the power generation. The calculation module imports the hydropower power Pw into the hydraulic power curve table to fit the hydropower curve. The calculation module calculates the integral of the area of ​​the hydropower curve to obtain the hydropower generation ΣPw. The calculation module uses the formula Calculate the average hydroelectric power Pw avg The calculation module combines the hydropower generation power Pf collected in all time periods with the average power generation power Pw avg Subtract the hydraulic power difference, and the calculation module sums up the squares of all hydraulic power differences. According to the formula f Pw =Σ(Pw-Pw avg ) 2 Calculate the variance and f of the hydroelectric power curve Pw , the calculation module will be the variance and f Pw Divide by (n-1) and take the square root of the result. The calculation module divides the square root result by the average hydropower power Pw avg Multiply it by 100% to get the hydroelectric power fluctuation rate r3 of the hydroelectric power Pw;

[0071] The calculation module collects the biomass power generation power Ps once every 1 second at a fixed time period, and the number of collections is n. The calculation module calculates and establishes a biomass power curve table. The horizontal axis of the biomass power curve table is time, and the vertical axis is power generation. The calculation module imports the biomass power generation power Ps into the biomass power curve table to fit the biomass power generation curve. The calculation module calculates the integral of the area of ​​the biomass power generation curve to obtain the biomass power generation ΣPs. The calculation module uses the formula Calculate the average power of biomass power generation Ps avg The calculation module combines the biomass power generation Pf and the average power generation Ps collected in all time periods avg Subtract the difference in biomass power to obtain the difference. The calculation module sums up the squares of all biomass power differences. According to the formula f Ps =∑(Ps-Ps avg ) 2 Calculate the variance and f of the biomass power generation curve Ps , the calculation module will be the variance and f PsDivide by (n-1) and take the square root of the result. The calculation module divides the square root result by the average power of biomass power generation Ps avg Multiply it by 100% to get the biomass power generation fluctuation rate r4 of the biomass power generation power Ps.

[0072] The thermal power generation weight procedure specifically includes the following steps:

[0073] Step 31: The calculation module is based on the following formula:

[0074] Calculate the green electricity volatility R, where ω1 is the proportion of photovoltaic power generation ∑Pi in green electricity generation, ω2 is the proportion of wind power generation ∑Pf in green electricity generation, ω3 is the proportion of hydropower generation ∑Pw in green electricity generation, and ω4 is the proportion of biomass power generation ∑Ps in green electricity generation;

[0075] Step 32: Calculate the module according to the formula The first contribution weight Q1 of thermal power generation is obtained by calculation.

[0076] Among them, the classification method on the electricity consumption side specifically includes the following steps:

[0077] Step 51: The calculation module counts the number of nodes y transmitted from the green power generation side to each power consumption side through the topological network structure according to the location of the power consumption side, and obtains the transmission distance from the green power generation side to each power consumption side by multiplying the distance between each node by the number of nodes y and marks it as dx = [d1, d2, d3, ..., dm]. The distance between each node is a fixed value, generally 100 kilometers, and the number of power consumption sides is m. The calculation module inputs the thermal power generation power Ph into the formula The per-unit value D is calculated, where Rv is the impedance of the circuit between the nodes. The impedance Rv is a constant value, which is determined by the size of the resistance Ro, inductance L, capacitance C in the circuit and the frequency Fv of the alternating current. The impedance Rv is determined by the formula Rv=Ro+(X L -X C ) is calculated, X L is the inductive reactance, according to the formula X L =2π×Fv×L, X C is the capacitive reactance, according to the formula The impedance Rv related calculation is obtained by calculation, which is an existing technical means in the field of power system and will not be described in detail here;

[0078] Step 52: The calculation module compares each element in dx with the per-unit value D. When the element in dx is greater than or equal to the per-unit value D, the power consumption measurement corresponding to the element in dx is marked as the far-end power consumption side. When the element in dx is less than the per-unit value D, the power consumption measurement corresponding to the element in dx is marked as the near-end power consumption side.

[0079] The near-end transmission weight procedure specifically includes the following steps:

[0080] Step 61: The calculation module adds the photovoltaic power Pi, wind power Pf, hydropower Pw and biomass power Ps to obtain the total green power. The calculation module counts the power demand of all near-end power users. The power demand represents the actual power consumption of the power user. When the total green power is greater than or equal to the power demand of the near-end power user, it means that the power supply of the near-end power user is saturated. The second contribution weight Q2 is the proportion of the near-end power user in the power user. Subtracting the power demand of all near-end power users from the total green power to obtain the secondary green power total power. The calculation module outputs the secondary green power total power to the remote power transmission weight program. Conversely, when the total green power is less than the power demand of the near-end power user, the next step 62 is executed.

[0081] Step 62: Calculate the module according to the formula The second contribution weight Q2 is calculated and obtained. At this time, the third contribution weight Q3 and the fourth contribution weight Q4 are both 0, and the process jumps to step 9;

[0082] The remote transmission weight procedure specifically includes the following steps:

[0083] Step 71: The calculation module counts the power demand of all remote power users. When the total power of the secondary green electricity is greater than or equal to the power demand of the remote power user, it means that the power supply of the remote power user is saturated. The third contribution weight Q3 is calculated according to the formula The calculation module obtains the total power of the tertiary green electricity by subtracting the power demand of all remote power users from the total power of the secondary green electricity. The calculation module outputs the total power of the tertiary green electricity to the energy storage weight program. On the contrary, when the total power of the secondary green electricity is less than the power demand of the remote power user, the next step 72 is executed.

[0084] Step 72: Calculation module according to formula The third contribution weight Q3 is calculated and obtained. At this time, the fourth contribution weight Q4 is 0, and the process jumps to step 9;

[0085] The energy storage weighting procedure specifically includes the following steps:

[0086] Step 81: The calculation module obtains the energy absorption capacity of the energy storage mechanism from the energy storage module. When the total power of the three green electricity is greater than or equal to the energy absorption capacity, it means that the power absorption capacity of the energy storage mechanism is saturated. The fourth contribution weight Q4 is calculated according to the formula The electric energy that cannot be absorbed by the energy storage mechanism is calculated by reducing the number of equipment in operation on the green power generation side or reducing the unit utilization rate η of the thermal power plant, which is not within the scope of the present invention and will not be described in detail here. When the total power of the three green electricity is less than the electric energy absorption amount, the next step 82 is executed;

[0087] Step 82: Calculation module according to formula The fourth contribution weight Q4 is calculated and the next step 9 is executed.

[0088] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A green electricity trading carbon emissions accounting system, characterized by: It includes computing module, green electricity module, thermal power generation module, power grid module, energy storage module and green certificate module. The thermal power generation module establishes communication with the thermal power plant to collect the thermal power generation power and unit utilization rate of the thermal power plant and transmit them to the calculation module. The green power module establishes communication with the green power generation side respectively. The green power generation side includes a photovoltaic power plant, a wind power plant, a hydropower plant and a biomass power plant. The green power module collects the photovoltaic power generation power Pi of the photovoltaic power plant, the wind power generation power Pf of the wind power plant, the hydropower generation power Pw of the hydropower plant, and the biomass power generation power Ps of the biomass power plant. The green power module transmits the photovoltaic power generation power Pi, the wind power generation power Pf, the hydropower generation power Pw and the biomass power generation power Ps to the calculation module; The power grid module establishes communication with the power consumption side of the power grid, the power grid module collects the topological network structure of the power grid and transmits it to the calculation module, the power grid module simultaneously collects the power demand and location of the power consumption side and transmits them to the calculation module, the energy storage module establishes communication with the energy storage mechanism, the energy storage module collects the electric energy absorption of the energy storage mechanism and transmits it to the calculation module, the calculation module is used to calculate and analyze the contribution index of each green electricity generation side, and transmit the contribution index to the green certificate module, and the green certificate module issues a green certificate to each green electricity generation side according to the contribution index.

2. A method for calculating carbon emissions in green electricity trading, characterized in that: Based on the computing module, green electricity module, thermal power generation module, power grid module, energy storage module and green certificate module, the following steps are included: Step 1: The green power module transmits the photovoltaic power Pi, wind power Pf, hydropower Pw and biomass power Ps to the calculation module, and the thermal power generation module transmits the thermal power generation Ph to the calculation module; Step 2: Execute the power generation fluctuation program to obtain the photovoltaic power generation fluctuation r1, wind power generation fluctuation r2, hydropower generation fluctuation r3 and biomass power generation fluctuation r4; Step 3: The calculation module obtains the unit utilization factor η from the thermal power generation module, and executes the thermal power generation weight program to obtain the first thermal power generation contribution weight Q1; Step 4: The calculation module obtains the power demand and location of the power consumption side from the power grid module; Step 5: Classify the power consumption side according to the topological network structure of the power grid and the location of the power consumption side, into two categories: the near-end power consumption side and the far-end power consumption side; Step 6: Execute the near-end transmission weight procedure to obtain the second contribution weight Q2; Step 7: Execute the remote transmission weight program to obtain the third contribution weight Q3; Step 8: Execute the energy storage weight program to obtain the fourth contribution weight Q4; Step 9: The contribution index is obtained by adding the first contribution weight Q1, the second contribution weight Q2, the third contribution weight Q3 and the fourth contribution weight Q4. The calculation module calculates the contribution index according to the formula Calculate the electricity-to-carbon ratio; Step 10: The obtained electricity-to-carbon ratio is transmitted to the green certificate module, which multiplies the electricity-to-carbon ratio by the original number of green certificates to obtain the calculated number of green certificates, and issues the green certificate to the corresponding green electricity generation side based on the signature of the calculated number of green certificates.

3. A method for calculating carbon emissions from green electricity trading according to claim 2, characterized in that: The power generation fluctuation rate procedure specifically includes the following steps: Step 21: Collect the photovoltaic power Pi once every fixed period of time, the number of collections is n, the calculation module calculates and establishes a photovoltaic power curve table, the horizontal axis of the photovoltaic power curve table is time, and the vertical axis is the power generation. The calculation module imports the photovoltaic power Pi into the photovoltaic power curve table to fit the photovoltaic power generation curve, and the calculation module calculates the integral of the photovoltaic power generation curve area to obtain the photovoltaic power generation ∑Pi. The calculation module uses the formula Calculate the average photovoltaic power Pi avg , the calculation module repeats step 21 to calculate the wind power generation ∑Pf, the hydropower generation ∑Pw and the biomass power generation ∑Ps respectively, and the calculation module adds the photovoltaic power generation ∑Pi, the wind power generation ∑Pf, the hydropower generation ∑Pw and the biomass power generation ∑Ps to obtain the green power generation; Step 22: The calculation module calculates the photovoltaic power Pi collected in all time periods and the average power Pi avg Subtract the difference to get the photovoltaic power; Step 23: The calculation module squares all the differences and sums them up, according to the formula f Pi =∑(Pi-Pi avg ) 2 Calculate the variance and f of the photovoltaic power generation curve Pi ; Step 24: The calculation module converts the variance and f Pi Divide by (n-1) and take the square root of the result. The calculation module divides the square root result by the average photovoltaic power generation power Pi avg Multiply it by 100% to get the photovoltaic power generation fluctuation rate r1 of the photovoltaic power Pi; Step 25: The calculation module repeatedly executes steps 22 to 24, respectively calculates the wind power generation fluctuation rate r2, the hydropower generation fluctuation rate r3 and the biomass power generation fluctuation rate r4, and executes the thermal power generation weight program.

4. A method for calculating carbon emissions from green electricity trading according to claim 3, characterized in that: The thermal power generation weight procedure specifically includes the following steps: Step 31: According to the following formula: Calculate the green electricity volatility R, where ω1 is the proportion of photovoltaic power generation ∑Pi in green electricity generation, ω2 is the proportion of wind power generation ∑Pf in green electricity generation, ω3 is the proportion of hydropower generation ∑Pw in green electricity generation, and ω4 is the proportion of biomass power generation ΣPs in green electricity generation; Step 32: Calculate the module according to the formula The first contribution weight Q1 of thermal power generation is obtained by calculation.

5. A method for calculating carbon emissions from green electricity trading according to claim 2, characterized in that: The classification method of the electricity consumption side specifically includes the following steps: Step 51: The calculation module counts the number of nodes y transmitted from the green power generation side to each power consumption side through the topological network structure according to the location of the power consumption side, and obtains the transmission distance from the green power generation side to each power consumption side by multiplying the distance between each node by the number of nodes y and marks it as dx = [d1, d2, d3, ..., dm]. The distance between each node is a fixed value, and the number of power consumption sides is m. The calculation module inputs the thermal power generation power Ph into the formula The per-unit value D is calculated, where Rv is the impedance of the circuit between the nodes; Step 52: The calculation module compares each element in dx with the per-unit value D. When the element in dx is greater than or equal to the per-unit value D, the power consumption measurement corresponding to the element in dx is marked as the far-end power consumption side. When the element in dx is less than the per-unit value D, the power consumption measurement corresponding to the element in dx is marked as the near-end power consumption side.

6. A method for calculating carbon emissions from green electricity trading according to claim 2, characterized in that: The near-end transmission weight procedure specifically includes the following steps: Step 61: The calculation module adds the photovoltaic power Pi, wind power Pf, hydropower Pw and biomass power Ps to obtain the total green power. The calculation module counts the power demand of all near-end power users. When the total green power is greater than or equal to the power demand of the near-end power user, the second contribution weight Q2 is the proportion of the near-end power user in the power user. Subtracting the power demand of all near-end power users from the total green power to obtain the secondary green power total power. The calculation module outputs the secondary green power total power to the remote power transmission weight program. Conversely, when the total green power is less than the power demand of the near-end power user, the next step 62 is executed. Step 62: Calculate the module according to the formula The second contribution weight Q2 is calculated and obtained. At this time, the third contribution weight Q3 and the fourth contribution weight Q4 are both 0, and the process jumps to step 9; The remote power transmission weight procedure specifically includes the following steps: Step 71: The calculation module counts the power demand of all remote power users. When the total power of secondary green electricity is greater than or equal to the power demand of the remote power user, the third contribution weight Q3 is calculated according to the formula The calculation module obtains the total power of the tertiary green electricity by subtracting the power demand of all remote power users from the total power of the secondary green electricity. The calculation module outputs the total power of the tertiary green electricity to the energy storage weight program. On the contrary, when the total power of the secondary green electricity is less than the power demand of the remote power user, the next step 72 is executed. Step 72: Calculation module according to formula The third contribution weight Q3 is calculated and obtained. At this time, the fourth contribution weight Q4 is 0, and the process jumps to step 9; The energy storage weighting procedure specifically includes the following steps: Step 81: The calculation module obtains the energy absorption of the energy storage mechanism from the energy storage module. When the total power of the three green electricity is greater than or equal to the energy absorption, the fourth contribution weight Q4 is calculated according to the formula When the total power of the three green electricity is less than the power absorption amount, the next step 82 is executed; Step 82: Calculation module according to formula The fourth contribution weight Q4 is calculated and the next step 9 is executed.

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