Emission reduction determination method and device, equipment, storage medium and program product

Abstract

The invention relates to the technical field of water, wind and light storage integration, and discloses an emission reduction determination method, device and equipment, a storage medium and a program product. The emission reduction determination method comprises the steps that according to light and wind abandoning information, a hydropower output adjustment result and a warehouse in-out flow adjustment result are generated; updating the first water, wind, light and storage integrated project according to the water and electricity output adjustment and in-out storage flow adjustment results, and obtaining the on-grid electric quantity increment corresponding to the second water, wind, light and storage integrated project; generating an adaptability adjustment factor according to the comprehensive dynamic information, generating a combined marginal emission factor according to the carbon emission increment index information and the adaptability adjustment factor, generating an adaptability adjustment coefficient according to the resource utilization information, and generating a datum line emission amount according to the on-grid electric quantity increment, the combined marginal emission factor and the adaptability adjustment coefficient; according to the datum line emission amount and the project emission amount, the emission reduction amount is generated, and the accuracy of emission reduction amount measurement is improved by introducing the adjustment factors.

Description

Technical Field

[0001] The present invention relates to the technical field of water-wind-solar-storage integration, and in particular to a method, device, equipment, storage medium and program product for determining emission reduction. Background Art

[0002] The integrated water, wind, photovoltaic and energy storage project is a comprehensive energy project that organically combines hydropower, wind power, photovoltaic power generation and energy storage systems. The hydropower, wind power and photovoltaic power generation in the integrated water, wind, photovoltaic and energy storage project are all clean energy, which only produces a small amount of greenhouse gas emissions such as carbon dioxide, and has less pollution to the environment. However, in order to analyze the optimization degree of the integrated water, wind, photovoltaic and energy storage project, it is necessary to specifically analyze the emission reduction effect of the integrated water, wind, photovoltaic and energy storage project.

[0003] In the relevant technology, a series of standardized processes and methods are used to help the design, review, calculation and monitoring of greenhouse gas emission reductions of integrated water, wind, solar and storage projects. When monitoring greenhouse gas emission reductions, greenhouse gas emission reductions are generated by setting baseline scenarios for different scenarios. However, this method is only applicable to specific scenarios such as afforestation, solar thermal, offshore wind power and mangroves, and has a narrow scope of application. In addition, due to the intermittent and volatile characteristics of wind power and photovoltaics, it is difficult to effectively predict the output, and the matching degree between the power supply and the load end is not good, resulting in a certain degree of wind, solar and water abandonment, which leads to the emission reduction effect being not accurate enough. Summary of the invention

[0004] In view of this, the present invention provides a method, device, equipment, storage medium and program product for determining emission reduction to solve the problem of inaccurate emission reduction.

[0005] In a first aspect, the present invention provides a method for determining emission reductions, including: obtaining information on abandoned solar power and wind power corresponding to a first integrated water, wind, solar and storage project, generating hydropower output regulation results and inflow and outflow regulation results of a hydropower station reservoir area according to the abandoned solar power and wind power information, updating the first integrated water, wind, solar and storage project to a second integrated water, wind, solar and storage project according to the hydropower output regulation results and the inflow and outflow regulation results, and obtaining an incremental amount of online electricity corresponding to the second integrated water, wind, solar and storage project; generating an adaptability adjustment factor for a target area according to comprehensive dynamic information corresponding to the second integrated water, wind, solar and storage project, the comprehensive dynamic information being used to characterize a first dynamic change in energy structure transformation, a second dynamic change in thermal power technology transformation and a third dynamic change in electricity demand corresponding to the second integrated water, wind, solar and storage project, and the adaptability adjustment factor being used to characterize operating parameters configured to adapt to the first dynamic change, the second dynamic change and the third dynamic change; the target area is the area corresponding to the second integrated water, wind, solar and storage project; and according to the incremental carbon emission index corresponding to the second integrated water, wind, solar and storage project The carbon emission increment indicator information and adaptability adjustment factor are used to generate a combined marginal emission factor. The carbon emission increment indicator information is used to characterize the greenhouse gas emissions when the unit electricity and power generation capacity change. The combined marginal emission factor is used to characterize the operating parameters configured to adapt to the first dynamic change, the second dynamic change, the third dynamic change, the unit electricity change and the power generation capacity change; according to the resource utilization information corresponding to the second water-wind-solar-storage integrated project, the adaptability adjustment coefficient of the target area is generated. The resource utilization information is used to characterize the utilization level of wind energy resources, water energy resources and solar energy resources. The adaptability adjustment coefficient is used to characterize the operating parameters configured to adapt to the changes in the utilization level of wind energy resources, water energy resources and solar energy resources; according to the online electricity increment, the combined marginal emission factor and the adaptability adjustment coefficient, the baseline emissions are generated; according to the baseline emissions and the project emissions, the emission reduction is generated. The baseline emissions are the carbon emissions under the independent operation scenario of the power station, and the project emissions are the carbon emissions of the integrated operation power station corresponding to the operation scenario of the second water-wind-solar-storage integrated project.

[0006] The present invention obtains the abandoned solar power and wind energy information corresponding to the first integrated water, wind, solar and storage project, generates the hydropower output regulation result and the inflow and outflow regulation result of the hydropower station reservoir area according to the abandoned solar power and wind energy information, and updates the first integrated water, wind, solar and storage project to the second integrated water, wind, solar and storage project according to the abandoned solar power and wind energy information. The present invention regulates the hydropower output and the inflow and outflow flow according to the abandoned solar power and wind energy information, reduces the amount of abandoned solar power and wind energy, and improves the utilization rate of resources. From the perspective of greenhouse gas emission reduction, the utilization rate of clean energy is improved, and the emitted greenhouse gases are reduced, thereby improving the emission reduction effect. The present invention obtains the incremental amount of grid-connected electricity corresponding to the second water-wind-solar-storage integrated project, generates an adaptability adjustment factor for the target area according to the comprehensive dynamic information corresponding to the second water-wind-solar-storage integrated project, generates a combined marginal emission factor according to the incremental carbon emission index information and the adaptability adjustment factor corresponding to the second water-wind-solar-storage integrated project, and generates an adaptability adjustment coefficient for the target area according to the resource utilization information corresponding to the second water-wind-solar-storage integrated project. The present invention generates an adaptability adjustment factor, a combined marginal emission factor and an adaptability adjustment coefficient to adapt to the energy structure transformation changes, thermal power technology transformation changes, power demand changes, unit electricity changes, power generation capacity changes, wind energy resource utilization changes, water energy resource utilization changes and solar energy resource utilization changes corresponding to the second water-wind-solar-storage integrated project, generates a baseline emission according to the incremental amount of grid-connected electricity, the combined marginal emission factor and the adaptability adjustment coefficient, generates an emission reduction according to the baseline emission and the project emission, thereby improving the flexibility of the second water-wind-solar-storage integrated project, making the baseline emission more in line with the actual situation, thereby improving the accuracy of emission reduction measurement, and providing accurate data support for emission reduction effect analysis of the second water-wind-solar-storage integrated project.

[0007] In an optional implementation, the incremental grid-connected power corresponding to the second integrated water, wind, solar and storage project is obtained, including: when the operating time of the power station corresponding to the second integrated water, wind, solar and storage project exceeds a preset time period, the grid-connected power of the power station operating independently is obtained according to the difference between the historical average annual grid-connected power and the standard deviation of the historical average annual grid-connected power, the historical average annual grid-connected power is the historical average annual grid-connected power of the power station corresponding to the start of the second integrated water, wind, solar and storage project, and the standard deviation of the historical average annual grid-connected power is the standard deviation of the historical average annual grid-connected power of the power station corresponding to the start of the second integrated water, wind, solar and storage project; the incremental grid-connected power is determined according to the difference between the total grid-connected power and the grid-connected power of the power station operating independently.

[0008] In an optional embodiment, the comprehensive dynamic information includes the proportion of new renewable energy, the technical transformation ratio of thermal power units and the growth rate of electricity demand; according to the comprehensive dynamic information corresponding to the second integrated water, wind, solar and storage project, the adaptability adjustment factor of the target area is generated, including: obtaining a first product result according to the product of the proportion of new renewable energy and the first empirical weight coefficient; obtaining a second product result according to the product of the technical transformation ratio of the thermal power units and the second empirical weight coefficient; obtaining a third product result according to the product of the electricity demand growth rate and the third empirical weight coefficient; obtaining the adaptability adjustment factor according to the sum of the first product result, the second product result and the third product result.

[0009] In an optional embodiment, the carbon emission incremental index information includes the marginal emission factor of electricity and the marginal emission factor of capacity; according to the carbon emission incremental index information and the adaptability adjustment factor corresponding to the second integrated water-wind-solar-storage project, a combined marginal emission factor is generated, including: obtaining a fourth product result according to the product of the marginal emission factor of electricity and the weight of the marginal emission factor of electricity; obtaining a fifth product result according to the product of the marginal emission factor of capacity and the weight of the marginal emission factor of capacity; obtaining the combined marginal emission factor according to the sum of the fourth product result, the fifth product result and the adaptability adjustment factor.

[0010] In an optional embodiment, the resource utilization information includes a wind resource utilization coefficient, a water resource regulation coefficient and a solar energy resource utilization coefficient; based on the resource utilization information corresponding to the second water-wind-solar-storage integrated project, an adaptability adjustment coefficient of the target area is generated, including: obtaining a sixth product result based on the product of the wind resource utilization coefficient and the fourth empirical weight coefficient; obtaining a seventh product result based on the product of the water resource regulation coefficient and the fifth empirical weight coefficient; obtaining an eighth product result based on the product of the solar energy resource utilization coefficient and the sixth empirical weight coefficient; obtaining the adaptability adjustment coefficient based on the sum of the preset value, the sixth product result, the seventh product result and the eighth product result.

[0011] In an optional embodiment, a baseline emission is generated based on the grid-connected power increment, the combined marginal emission factor and the adaptability adjustment coefficient; an emission reduction is generated based on the baseline emission and the project emission, including: obtaining a ninth product result based on the product of the adaptability adjustment coefficient and the grid-connected power increment; obtaining the baseline emission based on the product of the ninth product result and the combined marginal emission factor; and obtaining the emission reduction based on the difference between the baseline emission and the project emission.

[0012] In a second aspect, the present invention provides a device for determining emission reductions, including: a hydropower station reservoir regulation module, used to obtain the abandoned solar and wind information corresponding to the first water-wind-solar-storage integrated project, generate the hydropower output regulation result of the hydropower station reservoir and the inflow and outflow regulation result of the hydropower station reservoir according to the abandoned solar and wind information, update the first water-wind-solar-storage integrated project to a second water-wind-solar-storage integrated project according to the hydropower output regulation result and the inflow and outflow regulation result, and obtain the online power increment corresponding to the second water-wind-solar-storage integrated project; an adaptability adjustment factor determination module, used to generate the adaptability adjustment factor of the target area according to the comprehensive dynamic information corresponding to the second water-wind-solar-storage integrated project, the comprehensive dynamic information is used to characterize the first dynamic change of the energy structure transformation corresponding to the second water-wind-solar-storage integrated project, the second dynamic change of the thermal power technology transformation and the third dynamic change of the power demand, and the adaptability adjustment factor is used to characterize the operating parameters configured to adapt to the first dynamic change, the second dynamic change and the third dynamic change; the target area is the area corresponding to the second water-wind-solar-storage integrated project; a combined marginal emission factor determination module, used to determine the adaptability adjustment factor of the target area according to the comprehensive dynamic information corresponding to the second water-wind-solar-storage integrated project The carbon emission increment indicator information and adaptability adjustment factor are used to generate a combined marginal emission factor, the carbon emission increment indicator information is used to characterize the greenhouse gas emissions when the unit electricity and power generation capacity change, and the combined marginal emission factor is used to characterize the operating parameters configured to adapt to the first dynamic change, the second dynamic change, the third dynamic change, the unit electricity change and the power generation capacity change; the adaptability adjustment coefficient determination module is used to generate the adaptability adjustment coefficient of the target area according to the resource utilization information corresponding to the second water-wind-solar-storage integrated project, the resource utilization information is used to characterize the utilization degree of wind energy resources, water energy resources and solar energy resources, and the adaptability adjustment coefficient is used to characterize the operating parameters configured to adapt to the changes in the utilization degree of wind energy resources, water energy resources and solar energy resources; the emission reduction determination module is used to generate the baseline emission according to the grid-connected electricity increment, the combined marginal emission factor and the adaptability adjustment coefficient; the emission reduction is generated according to the baseline emission and the project emission, the baseline emission is the carbon emission under the independent operation scenario of the power station, and the project emission is the carbon emission of the integrated operation power station corresponding to the operation scenario of the second water-wind-solar-storage integrated project.

[0013] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method for determining the emission reduction amount of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0014] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method for determining the emission reduction amount of the first aspect or any corresponding embodiment thereof.

[0015] In a fifth aspect, the present invention provides a computer program product, comprising computer instructions for causing a computer to execute the method for determining emission reductions according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the related technologies, the drawings required for use in the specific embodiments or the related technical descriptions will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 is a flow chart of a method for determining an emission reduction amount according to an embodiment of the present invention;

[0018] Figure 2 is a schematic diagram of the boundary structure of a second water-wind-solar-storage integrated project according to an embodiment of the present invention;

[0019] Figure 3 is a flow chart of another method for determining emission reduction according to an embodiment of the present invention;

[0020] Figure 4 is a structural block diagram of a device for determining emission reduction according to an embodiment of the present invention;

[0021] Figure 5 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0023] At present, in the field of integrated water, wind, solar and storage technology, wind power and photovoltaics are intermittent and volatile, making it difficult to effectively predict output, affecting the stable supply of the power system. In addition, due to the different regional characteristics of different types of power resources, the matching degree between the power supply end and the load end is poor, resulting in a certain degree of wind, solar and water abandonment. From the perspective of greenhouse gas emission reduction, this situation makes it impossible for renewable energy to replace traditional fossil energy as expected, thereby weakening the emission reduction effect of renewable energy.

[0024] The embodiment of the present invention provides a method for determining emission reduction, which introduces an adjustment factor to improve the accuracy of measuring emission reduction.

[0025] According to an embodiment of the present invention, an embodiment of a method for determining an emission reduction amount is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] In this embodiment, a method for determining an emission reduction amount is provided, which can be used in a computer device. Figure 1 is a flow chart of a method for determining emission reduction according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0027] Step S101, obtain the abandoned solar and wind power information corresponding to the first integrated water, wind, solar and storage project, generate the hydropower output regulation result of the hydropower station reservoir area and the inflow and outflow regulation result of the hydropower station reservoir area according to the abandoned solar and wind power information, update the first integrated water, wind, solar and storage project to the second integrated water, wind, solar and storage project according to the hydropower output regulation result and the inflow and outflow regulation result, and obtain the grid-connected power increment corresponding to the second integrated water, wind, solar and storage project.

[0028] Among them, the first integrated water, wind, solar and storage project combines solar energy, water energy, wind energy and energy storage systems, and operates them in a coordinated manner through an intelligent control system. "Water" represents hydropower, including conventional hydropower stations and pumped-storage power stations; "wind" refers to wind power generation; "light" represents solar power generation, mainly photovoltaic power generation and solar thermal power generation; "storage" refers to the energy storage system, including battery energy storage, pumped storage and other forms.

[0029] In some optional implementations, the abandoned solar and wind power information is used to characterize the abandoned solar and wind power volume corresponding to the first hydro-wind-solar-storage integrated project. When the abandoned solar and wind power volume is large, it is necessary to adjust the hydropower output of the hydropower station reservoir area and the inflow and outflow flow of the hydropower station reservoir area, so as to reduce the abandoned solar and wind power volume and improve the energy utilization rate. The hydropower output adjustment result is the hydropower output obtained after adjusting the hydropower output of the hydropower station reservoir area, and the inflow and outflow flow adjustment result is the inflow and outflow flow obtained after adjusting the inflow and outflow flow of the hydropower station reservoir area.

[0030] For example, when wind and solar power output is insufficient, the output of hydropower is increased to make up for the shortfall in wind and solar power output. When wind and solar power output is excessive, the output of hydropower is reduced to make full use of the wind and solar power output, thereby reducing wind and solar power abandonment. The inflow and outflow flows are adjusted according to hydrological forecasts to ensure that the reservoir has sufficient regulation capacity during critical periods.

[0031] In some optional embodiments, for the water-wind-solar-storage system corresponding to the first water-wind-solar-storage integrated project, the water-wind-solar-storage system can be constrained by the maximum output, total power generation, minimum wind and solar curtailment objective function and water-wind-solar-storage system constraints.

[0032] In some optional implementations, the formula for determining the maximum output of the water-wind-solar-storage system is:

[0033]

[0034] Among them, P max,t is the maximum output of the hydro-wind-solar-storage system, T is the total number of time periods, max represents the maximum value, P water,t is the output power of hydropower at time t, P wind,t is the wind power output at time t, P solar,t is the output power of the photovoltaic at time t.

[0035] Among them, the output power of hydropower at time t depends on the reservoir water level, flow and scheduling plan, the output power of wind power at time t is determined by the wind speed and unit characteristics, and the output power of photovoltaic power at time t is related to the light intensity and panel efficiency.

[0036] In some optional implementations, the formula for determining the total power generation is:

[0037]

[0038] Among them, E total is the total power generation, T is the total time of the whole year, P net,t is the net output power of the water-wind-solar-storage system in time period t, Δt is the time interval, the total time for a whole year can be 8760 hours, and the time interval can be 1 hour.

[0039] Among them, the formula for calculating the net output power of the water-wind-solar-storage system in time period t is:

[0040] P net,t =P max,t -P loss,t ,

[0041] Among them, P net,t is the net output power of the hydro-wind-solar-storage system in time period t, P max,t is the maximum output of the water-wind-solar-storage system, P loss,t The power loss includes transmission loss and equipment self-consumption.

[0042] In some optional implementations, the relationship of the minimum wind and solar power abandonment objective function is:

[0043] MIN(E dis )=E dis,wind +E dis,solar ,

[0044] Among them, MIN represents the minimum value, E dis Indicates the total amount of power wasted, E dis,wind Indicates the amount of wind power abandoned, E dis,solar Indicates the amount of abandoned photovoltaic power.

[0045] The formula for determining the amount of abandoned wind power is:

[0046]

[0047] Among them, E dis,wind is the abandoned wind power, P wind,max,t is the maximum wind power output at time t, P wind,t is the actual wind power output at time t, and T is the total time of the whole year.

[0048] The formula for determining the amount of abandoned wind power is:

[0049]

[0050] Among them, E dis,solar is the abandoned wind power, P solar,max,t is the maximum photovoltaic output at time t, P solar,t is the actual photovoltaic output at time t.

[0051] Therefore, the relationship between the minimum wind and solar curtailment objective function can also be expressed as:

[0052]

[0053] Among them, MIN represents the minimum value, E dis Indicates the total amount of power wasted, P solar,max,tis the maximum photovoltaic output at time t, P solar,t is the actual photovoltaic output at time t, P wind,max,t is the maximum wind power output at time t, P wind,t is the actual wind power output at time t, and T is the total time of the whole year.

[0054] In some optional embodiments, the constraints of the water, wind, solar and storage systems ensure the safety and stability of the water, wind, solar and storage systems, including transmission channel constraints, water balance constraints, hydropower station output constraints, wind power output constraints, photovoltaic output constraints, downstream flow constraints and cascade reservoir energy storage change constraints.

[0055] The transmission channel constraint is:

[0056] Tcmin≤Nplan(t)≤Tcmax,

[0057] Wherein, Nplan(t) is the transmission power of the UHV DC channel, Tcmin is the minimum value of the UHV DC channel, and Tcmax is the maximum value of the UHV DC channel.

[0058] The water balance constraint is:

[0059] V t+1 =V t +Q in,t -Q out,t ,

[0060] Among them, V t+1 is the water storage capacity of the hydropower station in time period t+1, V t is the water storage capacity of the hydropower station in time period t, Q in,t is the inflow flow of the hydropower station reservoir, Q out,t It is the outflow flow from the reservoir of the hydropower station.

[0061] The output constraints of the hydropower station are:

[0062] P water,min,t ≤P water,t ≤P water,max,t ,

[0063] Among them, P water,t is the output of the hydropower station in time period t, P water,min,t is the lower limit of the power output of the hydropower station in time period t, P water,max,t is the upper limit of the power output of the hydropower station in time period t.

[0064] The hydropower output constraints are:

[0065] P wind,min,t ≤P wind,t ≤P wind,max,t

[0066] Among them, Pwind,t represents the output of the wind power station in time period t, P wind,min,t is the lower limit of the wind power station output at time t, P wind,max,t is the upper limit of the wind power station output at time t.

[0067] The photovoltaic output constraint is:

[0068] P solar,min,t ≤P solar,t ≤P solar,max,t ,

[0069] Among them, P solar,t is the output of the photovoltaic station in time period t, P solar,min,t is the lower limit of the output of the photovoltaic station in time period t, P solar,max,t is the upper limit of the output of the PV station in time period t.

[0070] The downstream flow constraint is:

[0071] Q out,min,t ≤Q out,t ≤Q out,max,t ,

[0072] Among them, Q out,t is the discharge flow of the reservoir in period t, Q out,min,t is the lower limit of the reservoir discharge flow in period t, Q out,max,t is the upper limit of the reservoir discharge flow in period t.

[0073] The energy storage change constraint of cascade reservoirs is:

[0074]

[0075] Among them, α is the energy storage change rate of the cascade reservoirs, TSE 1 is the storage energy at the end of the dispatch period, SE 1 is the storage energy at the beginning of the dispatch period, SE max is the maximum allowable value of the energy storage change rate, α max It is the upper limit of the energy storage change rate of cascade reservoirs.

[0076] In some optional embodiments, the incremental grid-connected power corresponding to the second integrated water, wind, solar and storage project is obtained, including: when the operating time of the power station corresponding to the second integrated water, wind, solar and storage project exceeds a preset time period, the grid-connected power of the power station operating independently is obtained according to the difference between the historical average annual grid-connected power and the standard deviation of the historical average annual grid-connected power, the historical average annual grid-connected power is the historical average annual grid-connected power of the power station corresponding to the start of the second integrated water, wind, solar and storage project, and the standard deviation of the historical average annual grid-connected power is the standard deviation of the historical average annual grid-connected power of the power station corresponding to the start of the second integrated water, wind, solar and storage project; the incremental grid-connected power is determined according to the difference between the total grid-connected power and the grid-connected power of the power station operating independently.

[0077] Among them, the total grid-connected power generation can be obtained from a preset model or a monitoring value, that is, the actual grid-connected power generation generated by the joint operation of the power station obtained by collecting the preset model. Among them, the preset model is the power station simulation model corresponding to the second hydro-wind-solar-storage integrated project.

[0078] Among them, the preset time period can be set according to the actual situation. The preset time period can be 3 years. When the operation time of the power station corresponding to the second hydro-wind-solar-storage integrated project exceeds 3 years, the formula for determining the grid-connected power of the power station for independent operation is:

[0079] EG BL,i,y =EG historical,i +σ historical,i ,

[0080] Among them, EG BL,i,y is the grid-connected power generated by power station i in the yth year when the power station is operated independently, EG historical,i is the historical average annual grid-connected power of power station i before the start of the second hydro-wind-solar-storage integrated project, σ historical,i is the standard deviation of the historical average annual grid-connected power generation of power station i before the start of the second hydro-wind-solar-storage integrated project.

[0081] In some optional embodiments, when the operating time of the power station corresponding to the second integrated water, wind, solar and storage project does not exceed the preset time period, the online power grid of the independent operation of the power station is obtained according to a preset model or a preset software tool, or the online power grid of the independent operation of the power station is obtained according to similar power stations with similar operating times exceeding the preset time period as the power station, wherein the preset model is a power station simulation model corresponding to the second integrated water, wind, solar and storage project.

[0082] Among them, the conditions that similar power stations need to meet are that they are in the same province, of the same scale and of the same type as the power station; based on similar power stations whose operating time exceeds the preset time period, the formula for obtaining the grid-connected power of the power station operating independently is:

[0083]

[0084] Among them, EG BL,i,y is the grid-connected power generated by power station i in the yth year when the power station is operated independently, P i,rated is the rated installed capacity of power station i, j is the jth similar power station in the same province, of the same scale, of the same type, and has been in operation for at least 3 years. is the historical average annual grid-connected electricity of similar power stations, is the historical average annual grid-connected electricity standard deviation of similar power stations, is the rated installed capacity of similar power stations.

[0085] In some optional implementations, Table 1 illustrates information on the rated installed capacity of power station i.

[0086] Table 1, information on the rated installed capacity of power station i.

[0087] Data / Parameters <![CDATA[P i,rated (rated installed capacity of power station i)]]> unit MW (megawatt) describe Rated installed capacity of power station i Data Source Actual situation of the Second Water Wind-PV-Storage Integration Project Applied data value / Remark /

[0088] In some optional implementations, Table 2 illustrates information on the rated installed capacity of similar power plants.

[0089] Table 2, information on rated installed capacity of similar power stations.

[0090]

[0091]

[0092] In some optional implementations, Table 3 illustrates information on the historical average annual grid-connected electricity consumption.

[0093] Table 3, historical average annual grid-connected electricity information.

[0094]

[0095] In some optional implementations, Table 4 illustrates information on the historical average annual grid-connected electricity consumption of similar power stations.

[0096] Table 4, information on the historical average annual grid-connected electricity consumption of similar power stations.

[0097]

[0098] In some optional implementations, Table 5 illustrates information on the standard deviation of the historical average annual grid-connected electricity volume of power station i.

[0099] Table 5, information on the standard deviation of the historical average annual grid-connected electricity of power station i.

[0100]

[0101] In some optional implementations, Table 6 illustrates information on the standard deviation of the historical average annual grid-connected electricity of similar power stations.

[0102] Table 6, information on the standard deviation of the historical average annual grid-connected electricity of similar power stations.

[0103]

[0104] In some optional implementations, the formula for determining the increase in online power is:

[0105]

[0106] Among them, ΔEGPJ,y is the increase in online power consumption in year y, max is the maximum value, EG PJ,y is the total grid-connected electricity in year y, EG BL,i,y It is the grid-connected electricity of power station i under independent operation.

[0107] In some optional implementations, Table 7 illustrates information on total grid-connected power.

[0108] Table 7, information on total grid-connected electricity.

[0109]

[0110] Step S102, based on the comprehensive dynamic information corresponding to the second integrated water, wind, solar and storage project, generate an adaptability adjustment factor for the target area, the comprehensive dynamic information is used to characterize the first dynamic change of the energy structure transformation corresponding to the second integrated water, wind, solar and storage project, the second dynamic change of the thermal power technology transformation and the third dynamic change of electricity demand, the adaptability adjustment factor is used to characterize the operating parameters configured to adapt to the first dynamic change, the second dynamic change and the third dynamic change; the target area is the area corresponding to the second integrated water, wind, solar and storage project.

[0111] In some optional embodiments, the comprehensive dynamic information includes the proportion of new renewable energy, the technical transformation rate of thermal power units and the growth rate of electricity demand; based on the comprehensive dynamic information corresponding to the second integrated water, wind, solar and storage project, the adaptability adjustment factor of the target area is generated, including: obtaining a first product result based on the product of the proportion of new renewable energy and the first empirical weight coefficient; obtaining a second product result based on the product of the technical transformation rate of the thermal power units and the second empirical weight coefficient; obtaining a third product result based on the product of the electricity demand growth rate and the third empirical weight coefficient; obtaining the adaptability adjustment factor based on the sum of the first product result, the second product result and the third product result.

[0112] Among them, the proportion of newly added renewable energy refers to the proportion of newly added renewable energy (such as solar energy, wind energy, hydropower, biomass energy, geothermal energy, etc.) in the energy increment within a certain period (usually one year), which is used to reflect the transformation of energy structure; the technical transformation ratio of thermal power units refers to the proportion of the number of thermal power units or installed capacity that have undergone technical transformation in a certain period of time to the total number of thermal power units or total installed capacity, which is used to reflect the technical transformation of thermal power; the growth rate of electricity demand refers to the growth rate of electricity demand in a certain period of time, which is used to reflect electricity demand. The formula for determining the adaptability adjustment factor is:

[0113] ΔEF regional,y =i 1 *G y +i 2 *H y +i3 *S y ,

[0114] Among them, ΔEF regional,y is the adaptability adjustment factor for year y, G y is the proportion of new renewable energy in year y, H y is the technical transformation ratio of thermal power units in year y, S y is the growth rate of electricity demand in year y, i 1 is the first empirical weight coefficient, i 2 is the second empirical weight coefficient, i 3 is the third empirical weight coefficient. The first empirical weight coefficient, the second empirical weight coefficient and the third empirical weight coefficient are determined through a regression model based on regional historical data.

[0115] In some optional embodiments, the adaptability adjustment factor is used to correct the marginal emission factor calculation to reflect the actual impact of the regional power grid structure, energy supply ratio and geographical characteristics.

[0116] Step S103, generates a combined marginal emission factor based on the carbon emission incremental index information and adaptability adjustment factor corresponding to the second integrated water-wind-solar-storage project, the carbon emission incremental index information is used to characterize the greenhouse gas emissions when the unit electricity and power generation capacity change, and the combined marginal emission factor is used to characterize the operating parameters configured to adapt to the first dynamic change, the second dynamic change, the third dynamic change, the unit electricity change and the power generation capacity change.

[0117] In some optional embodiments, the carbon emission incremental index information includes the marginal emission factor of electricity and the marginal emission factor of capacity; according to the carbon emission incremental index information and the adaptability adjustment factor corresponding to the second integrated water-wind-solar-storage project, a combined marginal emission factor is generated, including: obtaining a fourth product result according to the product of the marginal emission factor of electricity and the weight of the marginal emission factor of electricity; obtaining a fifth product result according to the product of the marginal emission factor of capacity and the weight of the marginal emission factor of capacity; obtaining the combined marginal emission factor according to the sum of the fourth product result, the fifth product result and the adaptability adjustment factor.

[0118] In some optional embodiments, Table 8 illustrates information on marginal emission factors for electricity quantity.

[0119] Table 8, information on marginal emission factors for electricity.

[0120]

[0121] In some optional embodiments, Table 9 illustrates information on capacity marginal emission factors.

[0122] Table 9, information on capacity marginal emission factors.

[0123]

[0124] In some optional embodiments, Table 10 illustrates information on weights of marginal emission factors for electricity quantities.

[0125] Table 10, information on marginal emission factor weights for electricity.

[0126]

[0127]

[0128] In some optional embodiments, Table 11 illustrates information on capacity marginal emission factor weights.

[0129] Table 11, Information on capacity marginal emission factor weights.

[0130]

[0131] In some optional embodiments, the electricity marginal emission factor refers to the greenhouse gas (such as carbon dioxide, methane, etc.) emissions generated in order to supply a marginal increase in unit electricity in the power system. The capacity marginal emission factor is an indicator used to measure the greenhouse gas emission level corresponding to the newly added power generation capacity in the power system; the formula for determining the combined marginal emission factor is:

[0132] EF grid,CM,y =EF grid,OM,y ×ω OM,y +EF grid,BM,y ×ω BM,y +ΔEF regional,y ,

[0133] Among them, EF grid,CM,y is the combined marginal emission factor for year y, EF grid,oM,y is the marginal emission factor of electricity in year y, EF grid,BM,y is the capacity marginal emission factor in year y, ΔEF regional,y is the adaptability adjustment factor for year y, ω OM,y is the marginal emission factor weight of electricity in year y, ω BM,y is the capacity marginal emission factor weight in year y.

[0134] Step S104, generating an adaptability adjustment coefficient for the target area based on the resource utilization information corresponding to the second integrated water-wind-solar-storage project, where the resource utilization information is used to characterize the utilization level of wind energy resources, water energy resources and solar energy resources, and the adaptability adjustment coefficient is used to characterize the operating parameters configured to adapt to changes in the utilization level of wind energy resources, water energy resources and solar energy resources.

[0135] In some optional embodiments, the resource utilization information includes a wind resource utilization coefficient, a water resource regulation coefficient and a solar energy resource utilization coefficient; based on the resource utilization information corresponding to the second water-wind-solar-storage integrated project, an adaptability adjustment coefficient of the target area is generated, including: obtaining a sixth product result based on the product of the wind resource utilization coefficient and the fourth empirical weight coefficient; obtaining a seventh product result based on the product of the water resource regulation coefficient and the fifth empirical weight coefficient; obtaining an eighth product result based on the product of the solar energy resource utilization coefficient and the sixth empirical weight coefficient; obtaining the adaptability adjustment coefficient based on the sum of the preset value, the sixth product result, the seventh product result and the eighth product result.

[0136] Among them, the preset value can be 1, the wind resource utilization coefficient is used to characterize the utilization degree of wind energy resources; the water resource adjustment coefficient is used to characterize the utilization degree of water energy resources; the solar energy resource utilization coefficient is used to characterize the utilization degree of solar energy resources; the formula for determining the adaptability adjustment coefficient is:

[0137] α=1+k 1 *R+k 2 *W+k 3 *S,

[0138] Among them, α is the adaptability adjustment coefficient, R is the wind resource utilization coefficient, W is the water resource regulation coefficient, S is the solar energy resource utilization coefficient, k 1 is the fourth empirical weight coefficient, k 2 is the fifth empirical weight coefficient, k 3 is the sixth experience weight coefficient.

[0139] Step S105, generate baseline emissions based on the incremental grid-connected electricity, the combined marginal emission factor and the adaptability adjustment coefficient; generate emission reductions based on the baseline emissions and the project emissions, the baseline emissions are the carbon emissions under the scenario of independent operation of the power station, and the project emissions are the carbon emissions of the integrated power station corresponding to the operation scenario of the second hydro-wind-solar-storage integrated project.

[0140] In some optional embodiments, a baseline emission is generated based on the increase in grid-connected power, a combined marginal emission factor and a compatibility adjustment coefficient; an emission reduction is generated based on the baseline emission and the project emission, including: obtaining a ninth product result based on the product of the compatibility adjustment coefficient and the increase in grid-connected power; obtaining the baseline emission based on the product of the ninth product result and the combined marginal emission factor; and obtaining the emission reduction based on the difference between the baseline emission and the project emission.

[0141] The formula for determining baseline emissions is:

[0142] BE y =αΔEGPJ,y ×EF grid,CM,y ,

[0143] Among them, BE y is the baseline emission, α is the adaptability adjustment coefficient, ΔEG PJ,y is the increase in grid-connected electricity in year y, EF grid,CM,y is the combined marginal emission factor.

[0144] In some optional embodiments, since the corresponding integrated power station in the operation scenario of the second integrated water, wind, solar and storage project involves renewable energy power generation and does not involve the combustion of fossil energy, the project emissions can be zero.

[0145] In some optional embodiments, the formula for determining the emission reduction is:

[0146] ER y =BE y -PE y ,

[0147] Among them, ER y For emission reduction, BE y is the baseline emission, PE y Emissions of the project.

[0148] In some optional embodiments, such as Figure 2 As shown in the figure, it is a schematic diagram of the boundary structure of the second water-wind-solar-storage integrated project. The second water-wind-solar-storage integrated project includes integrated power stations and other power generation equipment and power grids within the research scope. The integrated power stations and other power generation equipment within the research scope generate electricity for the power grid. The integrated power stations within the research scope are wind power stations, hydropower stations and photovoltaic power stations. In the power generation process, the carbon emissions under the independent operation scenario of each power station and the carbon emissions under the operation scenario of the second water-wind-solar-storage integrated project are determined to determine the emission reduction, where the carbon emissions can be CO 2 emissions.

[0149] In some optional embodiments, the emission reduction is used to analyze the emission reduction effect of the second integrated water, wind, solar and storage project. By way of example, an emission reduction threshold is set. When the emission reduction is greater than the emission reduction threshold, it indicates that the emission reduction effect is good. When the emission reduction is less than the emission reduction threshold, it indicates that the emission reduction effect is average.

[0150] The method for determining the emission reduction amount provided in the present embodiment obtains the abandoned solar power and wind power information corresponding to the first integrated water, wind, solar and storage project, generates the hydropower output regulation result and the inflow and outflow regulation result of the hydropower station reservoir area according to the abandoned solar power and wind power information, and updates the first integrated water, wind, solar and storage project to the second integrated water, wind, solar and storage project according to the abandoned solar power and wind power information. The embodiment of the present invention regulates the hydropower output and the inflow and outflow according to the abandoned solar power and wind power information, reduces the abandoned solar power and wind power amount, and improves the resource utilization rate. From the perspective of greenhouse gas emission reduction, the utilization rate of clean energy is improved, and the greenhouse gas emissions are reduced, thereby improving the emission reduction effect. The embodiment of the present invention obtains the grid-connected power increment corresponding to the second water-wind-solar-storage integrated project, generates the adaptability adjustment factor of the target area according to the comprehensive dynamic information corresponding to the second water-wind-solar-storage integrated project, generates the combined marginal emission factor according to the carbon emission increment indicator information and the adaptability adjustment factor corresponding to the second water-wind-solar-storage integrated project, and generates the adaptability adjustment coefficient of the target area according to the resource utilization information corresponding to the second water-wind-solar-storage integrated project. The embodiment of the present invention is to adapt to the energy structure transformation changes, thermal power technology transformation changes, power demand changes, unit power changes, and power generation corresponding to the second water-wind-solar-storage integrated project. Changes in electric capacity, wind energy resource utilization, hydropower resource utilization, and solar energy resource utilization are used to generate adaptability adjustment factors, combined marginal emission factors, and adaptability adjustment coefficients. Baseline emissions are generated based on the increase in grid-connected electricity, combined marginal emission factors, and adaptability adjustment coefficients. Emission reductions are generated based on baseline emissions and project emissions. This improves the flexibility of the second water-wind-solar-storage integrated project and makes the baseline emissions more in line with actual conditions, thereby improving the accuracy of emission reduction measurement and providing accurate data support for the emission reduction effect analysis of the second water-wind-solar-storage integrated project.

[0151] In this embodiment, a method for determining an emission reduction amount is provided, which can be used in a computer device. Figure 3 is a flow chart of another method for determining emission reduction according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0152] Based on the maximum output of the hydro-wind-solar-storage system, the system's minimum wind and solar curtailment objective function, and the constraints of the hydro-wind-solar system, the impact of wind and solar curtailment can be minimized through the regulation of hydropower.

[0153] Among them, the second integrated water, wind, photovoltaic and storage project consists of a hydropower station, a wind power station, a photovoltaic power station, an energy storage power station, a control system and an access system; the hydropower, wind and photovoltaic power stations are connected to the energy storage power station, and all electricity passes through the 220kV collection station, 500kV collection station, control center, converter station and power grid in turn.

[0154] The embodiment of the present invention is based on the maximum output of the water-wind-solar-storage system, the system's minimum wind and solar curtailment objective function, and the constraints of the water-wind-solar-storage system. Through the regulation of hydropower, the amount of wind and solar curtailment in the water-wind-solar-storage system is reduced, the quality of the second water-wind-solar-storage integrated project is improved, and the flexibility of the water-wind-solar-storage system is improved.

[0155] Determine the adaptability adjustment coefficient, combined marginal emission factor and grid-connected power increment. Figure 1 Steps S101 to S104 of the illustrated embodiment are not described in detail here.

[0156] Baseline emissions are determined based on the adaptability adjustment coefficient, combined marginal emission factor and the increase in grid-connected electricity.

[0157] Among them, different from the traditional baseline scenario setting, this embodiment proposes a baseline emission factor adjustment method based on historical meteorological and hydrological data to further improve the accuracy and regional applicability of carbon sink accounting.

[0158] Determine emission reductions based on baseline emissions and project emissions. Figure 1 Steps S101 to S105 of the illustrated embodiment are not described in detail here.

[0159] In this embodiment, a device for determining emission reduction is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0160] This embodiment provides a device for determining the emission reduction amount, such as Figure 4 As shown, including:

[0161] The hydropower station reservoir area regulation module 401 is used to obtain the abandoned solar and wind power information corresponding to the first water-wind-solar-storage integrated project, generate the hydropower output regulation result of the hydropower station reservoir area and the inflow and outflow regulation result of the hydropower station reservoir area according to the abandoned solar and wind power information, update the first water-wind-solar-storage integrated project to the second water-wind-solar-storage integrated project according to the hydropower output regulation result and the inflow and outflow regulation result, and obtain the incremental grid-connected electricity corresponding to the second water-wind-solar-storage integrated project.

[0162] The adaptability adjustment factor determination module 402 is used to generate the adaptability adjustment factor of the target area according to the comprehensive dynamic information corresponding to the second integrated water, wind, solar and storage project, the comprehensive dynamic information is used to characterize the first dynamic change of the energy structure transformation corresponding to the second integrated water, wind, solar and storage project, the second dynamic change of the thermal power technology transformation and the third dynamic change of electricity demand, and the adaptability adjustment factor is used to characterize the operating parameters configured to adapt to the first dynamic change, the second dynamic change and the third dynamic change; the target area is the area corresponding to the second integrated water, wind, solar and storage project.

[0163] The combined marginal emission factor determination module 403 is used to generate a combined marginal emission factor based on the carbon emission incremental index information and adaptability adjustment factor corresponding to the second integrated water-wind-solar-storage project. The carbon emission incremental index information is used to characterize the greenhouse gas emissions when the unit electricity and power generation capacity change. The combined marginal emission factor is used to characterize the operating parameters configured to adapt to the first dynamic change, the second dynamic change, the third dynamic change, the unit electricity change and the power generation capacity change.

[0164] The adaptability adjustment coefficient determination module 404 is used to generate the adaptability adjustment coefficient of the target area according to the resource utilization information corresponding to the second water-wind-solar-storage integrated project, the resource utilization information is used to characterize the utilization degree of wind energy resources, water energy resources and solar energy resources, and the adaptability adjustment coefficient is used to characterize the operating parameters configured to adapt to the changes in the utilization degree of wind energy resources, water energy resources and solar energy resources.

[0165] The emission reduction determination module 405 is used to generate baseline emissions based on the incremental grid-connected power, the combined marginal emission factor and the adaptability adjustment coefficient; and to generate emission reductions based on the baseline emissions and the project emissions. The baseline emissions are the carbon emissions under the scenario of independent operation of the power station, and the project emissions are the carbon emissions of the integrated power station corresponding to the operation scenario of the second hydro-wind-solar-storage integrated project.

[0166] In some optional implementations, the hydropower station reservoir regulation module 401 includes:

[0167] The total grid-connected power acquisition unit is used to obtain the total grid-connected power according to the difference between the historical average annual grid-connected power and the standard deviation of the historical average annual grid-connected power when the operating time of the power station corresponding to the second water-wind-solar-storage integration project exceeds a preset time period. The historical average annual grid-connected power is the historical average annual grid-connected power of the power station corresponding to the start of the second water-wind-solar-storage integration project, and the standard deviation of the historical average annual grid-connected power is the standard deviation of the historical average annual grid-connected power of the power station corresponding to the start of the second water-wind-solar-storage integration project.

[0168] The grid-connected power increment determination unit is used to determine the grid-connected power increment according to the difference between the total grid-connected power and the grid-connected power of the power station operating independently.

[0169] In some optional implementations, the adaptability adjustment factor determination module 402 includes:

[0170] The first multiplication unit is used to obtain a first product result according to the product of the proportion of newly added renewable energy and the first empirical weight coefficient.

[0171] The second multiplication unit is used to obtain a second product result according to the product of the technical transformation ratio of the thermal power unit and the second empirical weight coefficient.

[0172] The third multiplication unit is used to obtain a third product result according to the product of the power demand growth rate and the third empirical weight coefficient.

[0173] The first adding unit is used to obtain an adaptability adjustment factor according to the sum of the first multiplication result, the second multiplication result and the third multiplication result.

[0174] In some optional implementations, the combined marginal emission factor determination module 403 includes:

[0175] The fourth multiplication unit is used to obtain a fourth product result according to the product of the marginal emission factor of electric quantity and the weight of the marginal emission factor of electric quantity.

[0176] The fifth multiplication unit is used to obtain a fifth product result according to the product of the capacity marginal emission factor and the capacity marginal emission factor weight.

[0177] The second adding unit is used to obtain the combined marginal emission factor according to the sum of the fourth product result, the fifth product result and the adaptability adjustment factor.

[0178] In some optional implementations, the adaptability adjustment coefficient determination module 404 includes:

[0179] The sixth multiplication unit is used to obtain a sixth product result according to the product of the wind resource utilization coefficient and the fourth empirical weight coefficient.

[0180] The seventh multiplication unit is used to obtain the seventh product result according to the product of the water resource regulation coefficient and the fifth empirical weight coefficient.

[0181] The eighth multiplication unit is used to obtain an eighth product result according to the product of the solar energy resource utilization coefficient and the sixth empirical weight coefficient.

[0182] The third adding unit is used to obtain the adaptability adjustment coefficient according to the sum of the preset value, the sixth multiplication result, the seventh multiplication result and the eighth multiplication result.

[0183] In some optional implementations, the emission reduction determination module 405 includes:

[0184] The ninth multiplication unit is used to obtain a ninth product result according to the product of the adaptability adjustment coefficient and the increase in the amount of online power.

[0185] The tenth multiplication unit is used to obtain the baseline emission according to the product of the ninth multiplication result and the combined marginal emission factor.

[0186] The emission reduction determination unit is used to obtain the emission reduction according to the difference between the baseline emission and the project emission.

[0187] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0188] The emission reduction determination device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0189] The embodiment of the present invention also provides a computer device having the above Figure 4 The device for determining the emission reduction is shown.

[0190] See also Figure 5 , Figure 5 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 5 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 5 A processor 10 is taken as an example.

[0191] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0192] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0193] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0194] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0195] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0196] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0197] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0198] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for determining emission reduction, characterized in that: The method comprises: Obtaining the abandoned solar and wind power information corresponding to the first integrated water, wind, solar and storage project, generating a hydropower output regulation result of the reservoir area of ​​the hydropower station and an inflow and outflow regulation result of the reservoir area of ​​the hydropower station according to the abandoned solar and wind power information, updating the first integrated water, wind, solar and storage project to a second integrated water, wind, solar and storage project according to the hydropower output regulation result and the inflow and outflow regulation result, and obtaining the online power increment corresponding to the second integrated water, wind, solar and storage project; Generate an adaptability adjustment factor for the target area according to the comprehensive dynamic information corresponding to the second integrated water-wind-solar-storage project, the comprehensive dynamic information is used to characterize the first dynamic change of the energy structure transformation corresponding to the second integrated water-wind-solar-storage project, the second dynamic change of the thermal power technology transformation and the third dynamic change of the power demand, and the adaptability adjustment factor is used to characterize the operating parameters configured to adapt to the first dynamic change, the second dynamic change and the third dynamic change; the target area is the area corresponding to the second integrated water-wind-solar-storage project; Generate a combined marginal emission factor according to the carbon emission increment index information corresponding to the second hydro-wind-solar-storage integrated project and the adaptability adjustment factor, wherein the carbon emission increment index information is used to characterize the emission of greenhouse gases when the unit electricity and power generation capacity change, and the combined marginal emission factor is used to characterize the operating parameters configured to adapt to the first dynamic change, the second dynamic change, the third dynamic change, the unit electricity change, and the power generation capacity change; Generate an adaptability adjustment coefficient for the target area according to resource utilization information corresponding to the second integrated water-wind-solar-storage project, wherein the resource utilization information is used to characterize the degree of utilization of wind energy resources, water energy resources, and solar energy resources, and the adaptability adjustment coefficient is used to characterize the operating parameters configured to adapt to changes in the degree of utilization of the wind energy resources, the water energy resources, and the solar energy resources; Baseline emissions are generated based on the incremental grid-connected electricity volume, the combined marginal emission factor and the adaptability adjustment coefficient; emission reductions are generated based on the baseline emissions and the project emissions, the baseline emissions being the carbon emissions under the scenario of independent operation of the power station, and the project emissions being the carbon emissions of the integrated power station corresponding to the operation scenario of the second hydro-wind-solar-storage integrated project.

2. The method according to claim 1, characterized in that The obtaining of the grid-connected power increment corresponding to the second hydro-wind-solar-storage integrated project includes: When the operation time of the power station corresponding to the second hydro-wind-solar-storage integrated project exceeds a preset time period, the grid-connected power of the power station for independent operation is obtained according to the difference between the historical average annual grid-connected power and the standard deviation of the historical average annual grid-connected power, wherein the historical average annual grid-connected power is the historical average annual grid-connected power of the power station corresponding to the start of the second hydro-wind-solar-storage integrated project, and the standard deviation of the historical average annual grid-connected power is the standard deviation of the historical average annual grid-connected power of the power station corresponding to the start of the second hydro-wind-solar-storage integrated project; The grid-connected power increment is determined according to the difference between the total grid-connected power and the grid-connected power of the power station operating independently.

3. The method according to claim 1 or 2, characterized in that: The comprehensive dynamic information includes the proportion of newly added renewable energy, the technical transformation ratio of thermal power units and the growth rate of electricity demand; the adaptability adjustment factor of the target area is generated according to the comprehensive dynamic information corresponding to the second hydro-wind-solar-storage integrated project, including: Obtaining a first product result according to the product of the newly added renewable energy proportion and the first empirical weight coefficient; Obtaining a second product result according to the product of the technical transformation ratio of the thermal power unit and the second empirical weight coefficient; Obtaining a third product result according to the product of the power demand growth rate and the third empirical weight coefficient; The adaptability adjustment factor is obtained according to the sum of the first multiplication result, the second multiplication result and the third multiplication result.

4. The method according to claim 1 or 2, characterized in that: The carbon emission increment index information includes a marginal emission factor of electricity and a marginal emission factor of capacity; the combined marginal emission factor is generated according to the carbon emission increment index information corresponding to the second hydro-wind-solar-storage integrated project and the adaptability adjustment factor, including: Obtain a fourth product result according to the product of the marginal emission factor of electric quantity and the weight of the marginal emission factor of electric quantity; A fifth product result is obtained according to the product of the capacity marginal emission factor and the capacity marginal emission factor weight; The combined marginal emission factor is obtained according to the sum of the fourth product result, the fifth product result and the adaptability adjustment factor.

5. The method according to claim 1 or 2, characterized in that: The resource utilization information includes a wind resource utilization coefficient, a water resource adjustment coefficient, and a solar resource utilization coefficient; the adaptability adjustment coefficient of the target area is generated according to the resource utilization information corresponding to the second water-wind-solar-storage integrated project, including: Obtaining a sixth product result according to the product of the wind resource utilization coefficient and the fourth empirical weight coefficient; According to the product of the water resource regulation coefficient and the fifth empirical weight coefficient, a seventh product result is obtained; Obtaining an eighth product result according to the product of the solar energy resource utilization coefficient and the sixth empirical weight coefficient; The adaptability adjustment coefficient is obtained according to the sum of a preset value, the sixth multiplication result, the seventh multiplication result and the eighth multiplication result.

6. The method according to claim 1 or 2, characterized in that: generating a baseline emission amount according to the online power increment, the combined marginal emission factor and the adaptability adjustment coefficient; Generate emission reductions based on the baseline emissions and project emissions, including: Obtaining a ninth product result according to the product of the adaptability adjustment coefficient and the online power increment; Obtaining the baseline emissions according to the product of the ninth product result and the combined marginal emission factor; The emission reduction amount is obtained based on the difference between the baseline emissions and the project emissions.

7. A device for determining emission reduction, characterized in that: The device comprises: A hydropower station reservoir area regulation module is used to obtain the abandoned solar and wind power information corresponding to the first hydropower-wind-solar-storage integrated project, generate the hydropower output regulation result of the hydropower station reservoir area and the inflow and outflow regulation result of the hydropower station reservoir area according to the abandoned solar and wind power information, update the first hydropower-wind-solar-storage integrated project to a second hydropower-wind-solar-storage integrated project according to the hydropower output regulation result and the inflow and outflow regulation result, and obtain the grid-connected power increment corresponding to the second hydropower-wind-solar-storage integrated project; An adaptability adjustment factor determination module is used to generate an adaptability adjustment factor for a target area according to the comprehensive dynamic information corresponding to the second integrated water-wind-solar-storage project, the comprehensive dynamic information is used to characterize a first dynamic change in the energy structure transformation corresponding to the second integrated water-wind-solar-storage project, a second dynamic change in the thermal power technology transformation, and a third dynamic change in the power demand, and the adaptability adjustment factor is used to characterize an operating parameter configured to adapt to the first dynamic change, the second dynamic change, and the third dynamic change; the target area is an area corresponding to the second integrated water-wind-solar-storage project; A combined marginal emission factor determination module, used to generate a combined marginal emission factor according to the carbon emission increment index information corresponding to the second hydro-wind-solar-storage integrated project and the adaptability adjustment factor, wherein the carbon emission increment index information is used to characterize the emission of greenhouse gases when the unit electricity and power generation capacity change, and the combined marginal emission factor is used to characterize the operating parameters configured to adapt to the first dynamic change, the second dynamic change, the third dynamic change, the unit electricity change, and the power generation capacity change; an adaptability adjustment coefficient determination module, for generating an adaptability adjustment coefficient for the target area according to resource utilization information corresponding to the second hydro-wind-solar-storage integrated project, wherein the resource utilization information is used to characterize the degree of utilization of wind energy resources, hydropower resources, and solar energy resources, and the adaptability adjustment coefficient is used to characterize the operating parameters configured to adapt to changes in the degree of utilization of the wind energy resources, the hydropower resources, and the solar energy resources; The module for determining emission reduction is used to generate a baseline emission according to the incremental amount of grid-connected electricity, the combined marginal emission factor and the adaptability adjustment coefficient; and to generate emission reduction according to the baseline emission and the project emission, wherein the baseline emission is the carbon emission under the scenario of independent operation of the power station, and the project emission is the carbon emission of the corresponding integrated power station under the operation scenario of the second integrated hydro-wind-solar-storage project.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for determining the emission reduction amount according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method for determining the emission reduction amount according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the method for determining the emission reduction amount according to any one of claims 1 to 6.

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