Method, device and system for evaluating carbon emission reduction potential of adjustable and controllable resources in area

Abstract

The invention discloses a method, a device and a system for evaluating carbon emission reduction potential of an adjustable and controllable resource in a region. The method comprises the following steps: acquiring operation information of the adjustable and controllable resource in the region; on the basis of the regulation potential evaluation model of the intra-region adjustable resources and the operation information of the intra-region adjustable resources, the regulation potential of the intra-region adjustable resources is calculated; on the basis of an intra-region adjustable resource aggregation regulation potential evaluation model and the regulation potential of the intra-region adjustable resources, the intra-region adjustable resource aggregation regulation potential is calculated; calculating a power grid dynamic carbon emission factor of the load node of the region based on the carbon emission traceability information and the power flow information of the load node of the region and a power grid dynamic carbon emission factor calculation model; and evaluating the carbon emission reduction potential of the regional adjustable resources based on the regional adjustable resource carbon emission reduction potential evaluation model, the regional adjustable resource polymerization adjustment potential and the power grid dynamic carbon emission factor. According to the method, the dynamic carbon emission factors of the load nodes in the area can be calculated, and the carbon emission reduction potential evaluation of adjustable and controllable resources in the area is realized.

Description

Technical Field

[0001] The present invention belongs to the field of low-carbon regulation technology, and specifically relates to a method, device and system for evaluating the carbon emission reduction potential of adjustable resources in a region, and in particular to a method, device and system for evaluating the carbon emission reduction potential of adjustable resources in a region based on dynamic carbon emission factors. Background Art

[0002] With the continuous increase in greenhouse gas concentrations, climate change has become one of the severe challenges faced by all mankind in the 21st century. In response, countries around the world have taken actions to respond to climate change and set carbon reduction targets. "Carbon peak and carbon neutrality" have gradually become global issues. While promoting economic development, industrial parks have also become major carbon emitters. According to statistics, the carbon dioxide emissions of more than 2,000 national and provincial industrial parks alone account for 31% of the national total. It can be seen that achieving low carbon and zero carbon in industrial parks is an indispensable part of achieving the dual carbon goals. Therefore, studying the emission reduction potential of industrial parks is of great significance to achieving the dual carbon goals.

[0003] In recent years, with the improvement of energy efficiency technology and the advancement of energy policies, the number of commercial central controllable air conditioners and electric vehicles in industrial parks has continued to grow. Such controllable loads have the advantages of fast response and high economy, providing new possibilities for low-carbon regulation in industrial parks. However, small and micro loads such as controllable air conditioners and electric vehicles have small single capacity and uncertain behavior of electricity users, so how to conduct accurate carbon emission assessment has become an urgent problem to be solved. Summary of the invention

[0004] In response to the above problems, the present invention proposes a method, device and system for evaluating the carbon emission reduction potential of adjustable resources in the region, which can accurately calculate the dynamic carbon emission factors of load nodes in the region and realize the carbon emission reduction potential evaluation of adjustable resources in the region, so that the industrial park can formulate effective low-carbon control strategies.

[0005] In order to achieve the above technical objectives and the above technical effects, the present invention is implemented through the following technical solutions:

[0006] In a first aspect, the present invention provides a method for evaluating the carbon emission reduction potential of controllable resources in a region, comprising:

[0007] Obtaining operational information of adjustable resources in the area;

[0008] Calculating the regulation potential of the controllable resources in the region based on a pre-constructed regulation potential assessment model of the controllable resources in the region and the operation information of the controllable resources in the region;

[0009] Based on the pre-constructed evaluation model of the aggregation and regulation potential of the controllable resources in the region and the regulation potential of the controllable resources in the region, the aggregation and regulation potential of the controllable resources in the region is calculated;

[0010] Based on the carbon emission tracing information and power flow information of the load node where the district is located, and the pre-built grid dynamic carbon emission factor calculation model, the grid dynamic carbon emission factor of the load node where the district is located is calculated;

[0011] Based on a pre-constructed carbon emission reduction potential assessment model for the adjustable resources within the region, as well as the aggregated regulation potential of the adjustable resources within the region and the dynamic carbon emission factor of the power grid, the carbon emission reduction potential of the adjustable resources within the region is assessed.

[0012] In combination with the first aspect, optionally, the controllable resources in the area include controllable air conditioners and electric vehicles; the expression of the operation information of the controllable resources in the area is:

[0013]

[0014] In the formula, C ac (t), C ev (t) are respectively the operation information set of the controllable air conditioner and the operation information set of the electric vehicle; are the indoor temperature and outdoor temperature of user i at time t respectively; is the control indicator parameter of the thermostat of the controllable air conditioner of user i at time t; β i is the controllable air conditioning parameter of user i; η i is the controllable air conditioning performance coefficient of user i; P i ac (t) is the controllable air conditioning power of user i at time t; is the temperature set by user i; ε is the dead zone of the controllable air conditioning temperature; C i , R i are the thermal capacitance and thermal resistance of the controllable air conditioner of user i; E j (t) is the energy of electric vehicle j at time t; are the charging and discharging power of electric vehicle j at time t respectively; are the charge and discharge coefficients of electric vehicle j respectively; is the energy required for electric vehicle j to travel at time t; is the energy required for electric car j to travel on day d; is the charging instruction of electric vehicle j, charging is 1 and discharging is 0; is the dispatch instruction of electric vehicle j, When is 1, are the arrival time and departure time of electric vehicle j respectively.

[0015] In combination with the first aspect, optionally, the controllable resources in the area include controllable air conditioners and electric vehicles; the control potential assessment model of the controllable resources in the area includes a controllable air conditioner control potential assessment model and an electric vehicle control potential assessment model.

[0016] In combination with the first aspect, optionally, the expression of the controllable air conditioning regulation potential evaluation model is:

[0017]

[0018] In the formula, is the reducible power of the controllable air conditioner of user i at time t; are the indoor temperature and outdoor temperature of user i at time t respectively; and are the minimum and maximum indoor temperatures acceptable to user i, respectively. Within the range, controllable air conditioning has flexibility potential; P i ac (t) is the controllable air conditioning power of user i at time t, satisfying the following formula:

[0019]

[0020] Where: are the indoor and outdoor temperatures of user i at time t, Δt is the increase in time, β i is the controllable air conditioning parameter of user i, η i is the controllable air conditioning performance coefficient of user i, P i ac (t) is the controllable air conditioning power of user i at time t, P i max is the rated power of the controllable air conditioner of user i, C i , R i are the thermal capacitance and thermal resistance of the controllable air conditioner of user i, is the control indicator parameter of the thermostat of the controllable air conditioner of user i, is the temperature set by user i, and ε is the dead zone of the controllable air-conditioning temperature.

[0021] In combination with the first aspect, optionally, the electric vehicle regulation potential evaluation model includes an electric vehicle charging regulation potential evaluation model and an electric vehicle discharging regulation potential evaluation model;

[0022] The expression of the electric vehicle charging regulation potential evaluation model is:

[0023]

[0024] In the formula, and are the increaseable power and reductionable power of electric vehicle j at time t without considering the maximum power and energy limit; and are the actual increaseable power and reductionable power of electric vehicle j at time t; CP j (t) is the time from time t to the departure time of electric vehicle j Maximum possible charging energy; is the charging power of electric vehicle j at time t; are the charge and discharge coefficients of electric vehicle j respectively; It is the charging instruction, charging is 1 and discharging is 0; is the dispatch instruction of electric vehicle j at time t; are the arrival time and departure time of electric vehicle j respectively; is the charge and discharge power limit of electric vehicle j; are the upper and lower limits of the electric vehicle energy of electric vehicle j; E j (t) They represent the energy of electric vehicle j at time t and the energy required for electric vehicle j to travel on day d, respectively, satisfying the following formula:

[0025]

[0026] Where: is the discharge power of electric vehicle j at time t, is the energy required for electric vehicle j to travel at time t;

[0027] The expression of the electric vehicle discharge regulation potential evaluation model is:

[0028]

[0029] Where: It is the power that can be reduced without considering the maximum discharge power and travel demand energy. and They are the power that can be reduced and the power that can be increased by the electric vehicle during actual discharge.

[0030] The control potential of the controllable resources in the area includes the controllable air conditioning load of user i at time t that can be reduced The power that can be increased when charging an electric vehicle Power reduction possible The power that can be increased when electric vehicles are discharged Power reduction possible

[0031] In combination with the first aspect, optionally, the expression of the evaluation model for the aggregation and regulation potential of the regulatable resources in the region is:

[0032]

[0033]

[0034] Where PI(t) and PR(t) are the upward and downward potentials of the aggregated adjustable resources in the region at time t, respectively. ev 、N ac They are the number of electric vehicles and air conditioners that can be controlled in the area. are the additional power that can be added when electric vehicle j is charging and discharging at time t, are the power that can be reduced when electric vehicle j is charging and discharging at time t, is the reducible power of the controllable air conditioner of user i at time t.

[0035] In combination with the first aspect, optionally, the expression of the grid dynamic carbon emission factor calculation model is:

[0036]

[0037] In the formula, δ a (t) is the dynamic carbon emission factor of the power grid at load node a at time t, CE i (t) is the carbon emission from power plant m to load node a obtained through carbon emission tracing at time t, is the power injected from load node n to load node a, is the power flowing from load node a to load node k, Ω G is the set of power plants supplying energy to load node a, Ω L+ is the set of lines that inject power into load node a, Ω L- It is the line through which the power flows out from load node a.

[0038] In combination with the first aspect, optionally, the expression of the carbon emission reduction potential assessment model of the controllable resources in the region is:

[0039] PI CO2 (t)=PI(t)*δ a (t);

[0040] PR CO2 (t)=PR(t)*δ a (t);

[0041] In the formula, PI CO2 (t) is the carbon emission reduction potential of the adjustable resources in the region, PR CO2 (t) is the carbon emission reduction potential of the adjustable resources in the region by reducing power, δa (t) is the dynamic carbon emission factor of the power grid at load node a in the area at time t; PI(t) and PR(t) are the upward and downward potentials of the aggregated controllable resources in the area at time t, respectively.

[0042] In a second aspect, the present invention provides a device for evaluating the carbon emission reduction potential of adjustable resources in a region, comprising:

[0043] An acquisition module is used to obtain the operation information of adjustable resources in the area;

[0044] A control potential calculation module for controllable resources in the region, which is used to calculate the control potential of controllable resources in the region based on a pre-built control potential assessment model for controllable resources in the region and the operation information of the controllable resources in the region;

[0045] A module for calculating the aggregation and regulation potential of controllable resources in a region, which is used to calculate the aggregation and regulation potential of controllable resources in a region based on a pre-built evaluation model for the aggregation and regulation potential of controllable resources in a region and the regulation potential of the controllable resources in the region;

[0046] The grid dynamic carbon emission factor calculation module is used to calculate the grid dynamic carbon emission factor of the load node where the district is located based on the carbon emission source tracing information and power flow information of the load node where the district is located, and the pre-built grid dynamic carbon emission factor calculation model;

[0047] The carbon emission reduction potential assessment module of the adjustable resources in the region is used to assess the carbon emission reduction potential of the adjustable resources in the region based on a pre-built carbon emission reduction potential assessment model for the adjustable resources in the region, as well as the aggregated regulation potential of the adjustable resources in the region and the dynamic carbon emission factor of the power grid.

[0048] In a third aspect, the present invention provides a system for assessing the carbon emission reduction potential of controllable resources in a region, including a storage medium and a processor;

[0049] The storage medium is used to store instructions;

[0050] The processor is configured to operate according to the instructions to execute the method according to any one of the first aspects.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] The carbon emission reduction potential assessment method, device and system of the adjustable resources in the region of the present invention obtain the operation information of the adjustable resources in the region; based on the pre-constructed regulation potential assessment model of the adjustable resources in the region and the operation information of the adjustable resources in the region, the regulation potential of the adjustable resources in the region is calculated; based on the pre-constructed aggregation regulation potential assessment model of the adjustable resources in the region and the regulation potential of the adjustable resources in the region, the aggregation regulation potential of the adjustable resources in the region is calculated; based on the carbon emission tracing information and flow information of the load node where the region is located, and the pre-constructed dynamic carbon emission factor calculation model of the power grid, the dynamic carbon emission factor of the power grid at the load node where the region is located is calculated; based on the pre-constructed carbon emission reduction potential assessment model of the adjustable resources in the region, and the aggregation regulation potential of the adjustable resources in the region and the dynamic carbon emission factor of the power grid, the carbon emission reduction potential of the adjustable resources in the region is assessed. It can be seen that the present invention integrates the carbon emission tracing information and flow information of the power grid, accurately calculates the dynamic carbon emission factor of the node where the region is located, and on this basis, realizes the carbon emission reduction potential assessment of the adjustable resources in the industrial park, so that the industrial park can formulate an effective low-carbon regulation strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative labor, among which:

[0054] Figure 1 The figure is a flow chart of a method for assessing the carbon emission reduction potential of controllable resources within a region according to an embodiment of the present invention.

[0055] Figure 2 A schematic diagram of a dynamic carbon emission factor of a power grid at a node where a zone is located according to an embodiment of the present invention;

[0056] Figure 3 This is a schematic diagram of the carbon emission reduction potential of controllable resources in a region according to an embodiment of the present invention. DETAILED DESCRIPTION

[0057] 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.

[0058] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0059] Example 1

[0060] In an embodiment of the present invention, a method for evaluating the carbon emission reduction potential of controllable resources in a region is provided. In a specific implementation process, the region may be an industrial park, etc. Figure 1 As shown, the method for assessing the carbon emission reduction potential of controllable resources in the region includes the following steps:

[0061] (1) Obtaining the operation information of the controllable resources in the area;

[0062] (2) calculating the regulation potential of the controllable resources in the region based on a pre-constructed regulation potential assessment model of the controllable resources in the region and the operation information of the controllable resources in the region;

[0063] (3) calculating the aggregated regulation potential of the controllable resources in the region based on a pre-constructed assessment model for the aggregated regulation potential of the controllable resources in the region and the regulation potential of the controllable resources in the region;

[0064] (4) Based on the carbon emission tracing information and power flow information of the load node where the district is located, and the pre-built grid dynamic carbon emission factor calculation model, the grid dynamic carbon emission factor of the load node where the district is located is calculated. All power loads in the district belong to the same load node;

[0065] (5) Based on a pre-constructed carbon emission reduction potential assessment model for the adjustable resources in the region, as well as the aggregated regulation potential of the adjustable resources in the region and the dynamic carbon emission factor of the power grid, the carbon emission reduction potential of the adjustable resources in the region is assessed.

[0066] The method for assessing the carbon emission reduction potential of adjustable resources in a region in an embodiment of the present invention integrates the carbon emission tracing information and flow information of the power grid to accurately calculate the dynamic carbon emission factors of the power grid at the load nodes in the region. On this basis, the carbon emission reduction potential of adjustable resources in the industrial park is assessed to enable the industrial park to formulate effective low-carbon control strategies.

[0067] In a specific implementation of the embodiment of the present invention, the controllable resources in the area include controllable air conditioners and electric vehicles; the expression of the operation information of the controllable resources in the area is:

[0068]

[0069] In the formula, C ac (t), C ev (t) are respectively the operation information set of the controllable air conditioner and the operation information set of the electric vehicle; are the indoor temperature and outdoor temperature of user i at time t respectively; is the control indicator parameter of the thermostat of the controllable air conditioner of user i at time t; β i is the controllable air conditioning parameter of user i; η i is the controllable air conditioning performance coefficient of user i; P i ac (t) is the controllable air conditioning power of user i at time t; is the temperature set by user i; ε is the dead zone of the controllable air conditioning temperature; C i , R i are the thermal capacitance and thermal resistance of the controllable air conditioner of user i; E j (t) is the energy of electric vehicle j at time t; are the charging and discharging power of electric vehicle j at time t respectively; are the charge and discharge coefficients of electric vehicle j respectively; is the energy required for electric vehicle j to travel at time t; is the energy required for electric car j to travel on day d; is the charging instruction of electric vehicle j, charging is 1 and discharging is 0; is the dispatch instruction of electric vehicle j, When is 1, are the arrival time and departure time of electric vehicle j respectively.

[0070] In a specific implementation of the embodiment of the present invention, the controllable resources in the area include controllable air conditioners and electric vehicles; the control potential assessment model of the controllable resources in the area includes a controllable air conditioner control potential assessment model and an electric vehicle control potential assessment model.

[0071] Among them, the expression of the controllable air conditioning regulation potential evaluation model is:

[0072]

[0073] In the formula, is the reducible power of the controllable air conditioner of user i at time t; are the indoor temperature and outdoor temperature of user i at time t respectively; and are the minimum and maximum indoor temperatures acceptable to user i, respectively. Within the range, controllable air conditioning has flexibility potential; P i ac (t) is the controllable air conditioning power of user i at time t, satisfying the following formula:

[0074]

[0075] Where: are the indoor and outdoor temperatures of user i at time t, Δt is the increase in time, β i is the controllable air conditioning parameter of user i, η i is the controllable air conditioning performance coefficient of user i, P i ac (t) is the controllable air conditioning power of user i at time t, P i max is the rated power of the controllable air conditioner of user i, C i , R i are the thermal capacitance and thermal resistance of the controllable air conditioner of user i, is the control indicator parameter of the thermostat of the controllable air conditioner of user i, is the temperature set by user i, and ε is the dead zone of the controllable air-conditioning temperature.

[0076] The evaluation of the regulation potential of electric vehicles is relatively complex. Electric vehicles can stop charging or discharge (reduce power) when charging, and can stop discharging or charge (increase power) when discharging. In addition, electric vehicles can also reduce the amount of charge when charging, and reduce the amount of discharge when discharging, and respond to demand response instructions without violating their own operating restrictions. Taking these situations into account, the electric vehicle regulation potential evaluation model in the embodiment of the present invention includes an electric vehicle charging regulation potential evaluation model and an electric vehicle discharge regulation potential evaluation model;

[0077] Among them, the expression of the electric vehicle charging regulation potential evaluation model is:

[0078]

[0079] In the formula, and are the increaseable power and reductionable power of electric vehicle j at time t without considering the maximum power and energy limit; and are the actual increaseable power and reductionable power of electric vehicle j at time t; CP j(t) is the time from time t to the departure time of electric vehicle j Maximum possible charging energy; is the charging power of electric vehicle j at time t; are the charge and discharge coefficients of electric vehicle j respectively; It is the charging instruction, charging is 1 and discharging is 0; is the dispatch instruction of electric vehicle j at time t; are the arrival time and departure time of electric vehicle j respectively; is the charge and discharge power limit of electric vehicle j; are the upper and lower limits of the electric vehicle energy of electric vehicle j; E j (t) They represent the energy of electric vehicle j at time t and the energy required for electric vehicle j to travel on day d, respectively, satisfying the following formula:

[0080]

[0081] Where: is the discharge power of electric vehicle j at time t, is the energy required for electric vehicle j to travel at time t;

[0082] The expression of the electric vehicle discharge regulation potential evaluation model is:

[0083]

[0084] Where: It is the power that can be reduced without considering the maximum discharge power and travel demand energy. and They are the power that can be reduced and the power that can be increased by the electric vehicle during actual discharge.

[0085] The control potential of the controllable resources in the area includes the controllable air conditioning load of user i at time t that can be reduced The power that can be increased when charging an electric vehicle Power reduction possible The power that can be increased when electric vehicles are discharged Power reduction possible

[0086] In a specific implementation of the embodiment of the present invention, the expression of the evaluation model of the aggregation and regulation potential of the regulatable resources in the area is:

[0087]

[0088] Where PI(t) and PR(t) are the upward and downward potentials of the aggregated adjustable resources in the region at time t, respectively.ev 、N ac They are the number of electric vehicles and air conditioners that can be controlled in the area. are the additional power that can be added when electric vehicle j is charging and discharging at time t, are the power that can be reduced when electric vehicle j is charging and discharging at time t, is the reducible power of the controllable air conditioner of user i at time t.

[0089] In a specific implementation of the embodiment of the present invention, the expression of the calculation model of the dynamic carbon emission factor of the power grid is:

[0090]

[0091] In the formula, δ a (t) is the dynamic carbon emission factor of load node a at time t, CE i (t) is the carbon emission from power plant m to load node a obtained through carbon emission tracing at time t, is the power injected from load node n to load node a, is the power flowing from load node a to load node k, Ω G is the set of power plants supplying energy to load node a, Ω L+ is the set of lines that inject power into load node a, Ω L- It is the line through which the power flows out from load node a.

[0092] In a specific implementation of the embodiment of the present invention, the expression of the carbon emission reduction potential assessment model of the controllable resources in the region is:

[0093] PI CO2 (t)=PI(t)*δ a (t);

[0094] PR CO2 (t)=PR(t)*δ a (t);

[0095] In the formula, PI CO2 (t) is the carbon emission reduction potential of the adjustable resources in the region, PR CO2 (t) is the carbon emission reduction potential of the adjustable resources in the region by reducing power, δ a (t) is the dynamic carbon emission factor of the power grid at load node a in the area at time t; PI(t) and PR(t) are the upward and downward potentials of the aggregated controllable resources in the area at time t, respectively.

[0096] The method for assessing the carbon emission reduction potential of controllable resources within a region in an embodiment of the present invention is described in detail below in conjunction with a specific implementation method.

[0097] For a certain industrial park, it is assumed that the number of electric vehicles and controllable air conditioners that can participate in the regulation are 100 and 1,000 respectively.

[0098] The setting parameters of the controllable air conditioner are that natural gas (Gas) is used for heating, electricity (Electric) is used for cooling, the thermal integration is Normal, and the cooling temperature is determined by the electricity price and the user's settings. In this example, it is set to 20°C, and the sensitivity of temperature to electricity price is 0.22°C / yuan. Other parameters use the default values.

[0099] The set parameters of the electric vehicle are a battery capacity of 30kW·h. 1kW·h of electricity can travel an average of 6.19 kilometers, that is, the average power consumption per kilometer is 0.16kW·h, the rated charging voltage is 110V, the rated charging current is 33A, and the charging efficiency is 0.9, that is, the charging rate is 2970W·s.

[0100] The time when electric vehicles leave the industrial park approximately satisfies the following normal distribution:

[0101]

[0102] In the formula, f ar (x) is the probability distribution function of the time when the electric vehicle leaves the park, σ s is the standard deviation, μ s is the mean value. In this embodiment, σ s =2,μ s =19, which means that the expected value of the time of leaving the industrial park is approximately 19 points, and the standard deviation is 2 hours. The following normal distribution is used to simulate the time when the electric vehicle arrives at the industrial park:

[0103]

[0104] In the formula, f lv (x) is the probability density function of the time when electric vehicles arrive at the park, σ s is the standard deviation, μ s is the mean value. In this embodiment, σ s =1.5,μ s =9, which means that the expected value of the time of arrival at the industrial park is approximately 9 points and the standard deviation is 1.5 hours of normal distribution.

[0105] The daily mileage approximately satisfies the log-normal distribution:

[0106]

[0107] In the formula, f dis (x) is the probability density function of the daily mileage of electric vehicles, σ d is the standard deviation, μ d is the mean value. In this embodiment, σ d =1,μ d =5, indicating that the expected daily mileage is 50 kilometers. Electric vehicles are also plug-and-charge, and charging starts when they arrive at the industrial park. The market electricity price adopts the peak electricity price, which is set as follows:

[0108] Table 1 Peak electricity price pricing strategy

[0109]

[0110] The dynamic carbon emission factor of the load node where the industrial park is located is as follows: Figure 2 The evaluation results of the carbon emission reduction potential of the industrial park’s controllable resources are shown in Figure 3 As shown, the value above the horizontal axis represents the potential for upward adjustment, and the value below the horizontal axis represents the potential for downward adjustment.

[0111] Example 2

[0112] Based on the same inventive concept as that of Example 1, the present invention provides a device for evaluating the carbon emission reduction potential of adjustable resources in a region, comprising:

[0113] An acquisition module is used to obtain the operation information of adjustable resources in the area;

[0114] A control potential calculation module for controllable resources in the region, which is used to calculate the control potential of controllable resources in the region based on a pre-built control potential assessment model for controllable resources in the region and the operation information of the controllable resources in the region;

[0115] A module for calculating the aggregation and regulation potential of controllable resources in a region, which is used to calculate the aggregation and regulation potential of controllable resources in a region based on a pre-built evaluation model for the aggregation and regulation potential of controllable resources in a region and the regulation potential of the controllable resources in the region;

[0116] The grid dynamic carbon emission factor calculation module is used to calculate the grid dynamic carbon emission factor of the load node where the district is located based on the carbon emission traceability information and power flow information of the load node where the district is located, as well as the pre-built grid dynamic carbon emission factor calculation model. All power loads in the district belong to the same load node;

[0117] The carbon emission reduction potential assessment module of the adjustable resources in the region is used to assess the carbon emission reduction potential of the adjustable resources in the region based on a pre-built carbon emission reduction potential assessment model for the adjustable resources in the region, as well as the aggregated regulation potential of the adjustable resources in the region and the dynamic carbon emission factor of the power grid.

[0118] The rest are the same as in Example 1.

[0119] Example 3

[0120] Based on the same inventive concept as in Example 1, an embodiment of the present invention provides a system for assessing the carbon emission reduction potential of adjustable resources in a region, including a storage medium and a processor;

[0121] The storage medium is used to store instructions;

[0122] The processor is configured to operate according to the instructions to execute the method according to any one of the embodiments 1.

[0123] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0124] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0125] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0126] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0127] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

[0128] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for assessing the carbon emission reduction potential of controllable resources in a region, characterized in that: include: Obtaining operational information of adjustable resources in the area; Calculating the regulation potential of the controllable resources in the region based on a pre-constructed regulation potential assessment model of the controllable resources in the region and the operation information of the controllable resources in the region; Based on the pre-constructed evaluation model of the aggregation and regulation potential of the controllable resources in the region and the regulation potential of the controllable resources in the region, the aggregation and regulation potential of the controllable resources in the region is calculated; Based on the carbon emission tracing information and power flow information of the load node where the district is located, and the pre-built grid dynamic carbon emission factor calculation model, the grid dynamic carbon emission factor of the load node where the district is located is calculated; Based on the pre-constructed carbon emission reduction potential assessment model of the adjustable resources in the region, as well as the aggregated regulation potential of the adjustable resources in the region and the dynamic carbon emission factor of the power grid, the carbon emission reduction potential of the adjustable resources in the region is assessed.

2. The method for assessing the carbon emission reduction potential of controllable resources in a region according to claim 1, characterized in that: The controllable resources in the area include controllable air conditioners and electric vehicles; the expression of the operation information of the controllable resources in the area is: In the formula, C ac (t), C ev (t) are respectively the operation information set of the controllable air conditioner and the operation information set of the electric vehicle; are the indoor temperature and outdoor temperature of user i at time t respectively; is the control indicator parameter of the thermostat of the controllable air conditioner of user i at time t; β i is the controllable air conditioning parameter of user i; η i is the controllable air conditioning performance coefficient of user i; is the controllable air conditioning power of user i at time t; is the temperature set by user i; ε is the dead zone of the controllable air conditioning temperature; C i , R i are the thermal capacitance and thermal resistance of the controllable air conditioner of user i; E j (t) is the energy of electric vehicle j at time t; are the charging and discharging power of electric vehicle j at time t respectively; are the charge and discharge coefficients of electric vehicle j respectively; is the energy required for electric vehicle j to travel at time t; is the energy required for electric car j to travel on day d; is the charging instruction of electric vehicle j, charging is 1 and discharging is 0; is the dispatch instruction of electric vehicle j, When is 1, are the arrival time and departure time of electric vehicle j respectively.

3. The method for assessing the carbon emission reduction potential of controllable resources in a region according to claim 1, characterized in that: The controllable resources in the area include controllable air conditioners and electric vehicles; the control potential assessment model of the controllable resources in the area includes a controllable air conditioner control potential assessment model and an electric vehicle control potential assessment model.

4. The method for assessing the carbon emission reduction potential of controllable resources in a region according to claim 3, characterized in that: The expression of the controllable air conditioning regulation potential evaluation model is: In the formula, is the reducible power of the controllable air conditioner of user i at time t; are the indoor temperature and outdoor temperature of user i at time t respectively; and are the minimum and maximum indoor temperatures acceptable to user i, respectively. Within the range, controllable air conditioning has the potential for flexibility; is the controllable air conditioning power of user i at time t, satisfying the following formula: Where: are the indoor and outdoor temperatures of user i at time t, Δt is the increase in time, β i is the controllable air conditioning parameter of user i, η i is the controllable air conditioning performance coefficient of user i, is the controllable air conditioning power of user i at time t, is the rated power of the controllable air conditioner of user i, C i , R i are the thermal capacitance and thermal resistance of the controllable air conditioner of user i, is the control indicator parameter of the thermostat of the controllable air conditioner of user i, is the temperature set by user i, and ε is the dead zone of the controllable air-conditioning temperature.

5. The method for assessing the carbon emission reduction potential of controllable resources in a region according to claim 4, characterized in that: The electric vehicle regulation potential assessment model includes an electric vehicle charging regulation potential assessment model and an electric vehicle discharging regulation potential assessment model; The expression of the electric vehicle charging regulation potential evaluation model is: In the formula, and are the increaseable power and reductionable power of electric vehicle j at time t without considering the maximum power and energy limit; and are the actual increaseable power and reductionable power of electric vehicle j at time t; CP j (t) is the time from time t to the departure time of electric vehicle j Maximum possible charging energy; is the charging power of electric vehicle j at time t; are the charge and discharge coefficients of electric vehicle j respectively; It is the charging instruction, charging is 1 and discharging is 0; is the dispatch instruction of electric vehicle j at time t; are the arrival time and departure time of electric vehicle j respectively; is the charge and discharge power limit of electric vehicle j; are the upper and lower limits of the electric vehicle energy of electric vehicle j; E j (t) They represent the energy of electric vehicle j at time t and the energy required for electric vehicle j to travel on day d, respectively, satisfying the following formula: Where: is the discharge power of electric vehicle j at time t, is the energy required for electric vehicle j to travel at time t; The expression of the electric vehicle discharge regulation potential evaluation model is: Where: It is the power that can be reduced without considering the maximum discharge power and travel demand energy. and They are the power that can be reduced and the power that can be increased by the electric vehicle during actual discharge. The control potential of the controllable resources in the area includes the controllable air conditioning load of user i at time t that can be reduced The power that can be increased when charging an electric vehicle Power reduction possible The power that can be increased when electric vehicles are discharged Power reduction possible 6. A method for assessing the carbon emission reduction potential of controllable resources in a region according to claim 5, characterized in that: The expression of the evaluation model of the aggregation and regulation potential of the controllable resources in the area is: Where PI(t) and PR(t) are the upward and downward potentials of the aggregated controllable resources in the region at time t, respectively. ev 、N ac They are the number of electric vehicles and air conditioners that can be controlled in the area. are the additional power that can be added when electric vehicle j is charging and discharging at time t, are the power that can be reduced when electric vehicle j is charging and discharging at time t, is the reducible power of the controllable air conditioner of user i at time t.

7. The method for assessing the carbon emission reduction potential of controllable resources in a region according to claim 1, characterized in that: The expression of the calculation model of the dynamic carbon emission factor of the power grid is: In the formula, δ a (t) is the dynamic carbon emission factor of the power grid at load node a at time t, CE i (t) is the carbon emission from power plant m to load node a obtained through carbon emission tracing at time t, is the power injected from load node n to load node a, is the power flowing from load node a to load node k, Ω G is the set of power plants supplying energy to load node a, Ω L+ is the set of lines that inject power into load node a, Ω L- It is the line through which the power flows out from load node a.

8. The method for assessing the carbon emission reduction potential of controllable resources in a region according to claim 1, characterized in that: The expression of the carbon emission reduction potential assessment model of the adjustable resources in the area is: PI CO2 (t)=PI(t)*δ a (t); PR CO2 (t)=PR(t)*δ a (t); In the formula, PI CO2 (t) is the carbon emission reduction potential of the adjustable resources in the region, PR CO2 (t) is the carbon emission reduction potential of the adjustable resources in the region by reducing power, δ a (t) is the dynamic carbon emission factor of the power grid at load node a in the area at time t; PI(t) and PR(t) are the upward and downward potentials of the aggregated controllable resources in the area at time t, respectively.

9. A device for evaluating the carbon emission reduction potential of adjustable resources in a region, characterized in that: include: An acquisition module is used to obtain the operation information of adjustable resources in the area; A control potential calculation module for controllable resources in the region, which is used to calculate the control potential of controllable resources in the region based on a pre-built control potential assessment model for controllable resources in the region and the operation information of the controllable resources in the region; A module for calculating the aggregation and regulation potential of controllable resources in a region, which is used to calculate the aggregation and regulation potential of controllable resources in a region based on a pre-built evaluation model for the aggregation and regulation potential of controllable resources in a region and the regulation potential of the controllable resources in the region; The grid dynamic carbon emission factor calculation module is used to calculate the grid dynamic carbon emission factor of the load node where the district is located based on the carbon emission source tracing information and power flow information of the load node where the district is located, and the pre-built grid dynamic carbon emission factor calculation model; The carbon emission reduction potential assessment module of the adjustable resources in the region is used to assess the carbon emission reduction potential of the adjustable resources in the region based on a pre-built carbon emission reduction potential assessment model for the adjustable resources in the region, as well as the aggregated regulation potential of the adjustable resources in the region and the dynamic carbon emission factor of the power grid.

10. A system for assessing the carbon emission reduction potential of controllable resources in a region, characterized in that: including storage media and processors; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the method according to any one of claims 1-8.

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