A controllable resource carbon emission reduction potential evaluation method for a low-carbon power grid

Abstract

The application discloses a kind of adjustable resource carbon emission reduction potential evaluation methods for low-carbon power grid, comprising: S1: the data required is collected;S2: build low-carbon power grid adjustable resource response model, simulate the response characteristics of each electrical equipment;S3: build low-carbon power grid single adjustable resource regulation potential evaluation model;S4: build low-carbon power grid adjustable resource aggregation regulation potential evaluation model, the single adjustable resource regulation potential is aggregated, and the aggregated adjustable resource regulation potential is obtained;S5: build low-carbon power grid adjustable resource carbon emission reduction potential evaluation model, in combination with the current maximum power generation of new energy and actual grid-connected amount, the carbon emission reduction potential of low-carbon power grid adjustable resource is evaluated, and is regulated according to result.The application evaluates the carbon emission reduction potential of adjustable resource in combination with the maximum power generation of new energy, actual grid-connected amount, can master the operating characteristics of low-carbon power grid adjustable resource, evaluates the regulation potential of low-carbon power grid adjustable resource.

Description

Technical Field

[0001] This invention relates to the field of power system regulation, and in particular to a method for assessing the carbon emission reduction potential of controllable resources for low-carbon power grids. Background Technology

[0002] A low-carbon power grid refers to a power grid that achieves low-carbon goals such as energy saving, high efficiency, and low emissions during power transmission. Developing a low-carbon power grid requires the decarbonization of all aspects and sectors of the grid. Low-carbon goals must be considered in the planning, construction, production technology, dispatching, operation, and management mechanisms of the power grid. Through coordination and cooperation among different departments of the power grid company, transmission losses can be reduced, energy efficiency improved, and resource conservation achieved, maximizing the grid's own emission reduction. Simultaneously, the low-carbon development of both the power generation and consumption sides should be promoted, providing a platform for the low-carbon development of the power industry. Researching the low-carbon potential of the power grid is of significant strategic importance to achieving low-carbon development goals. The power grid connects the power generation and consumption sides. Through guidance and incentives in the construction, management, operation, and mechanisms of the power grid, the development and application of low-carbon technologies on both the power generation and consumption sides can be promoted, maximizing their low-carbon potential. Demand-side management mechanisms such as peak-valley time-of-use pricing can adjust load curves, reduce grid losses and power generation coal consumption, and guide users towards low-carbon and rational electricity use. Providing supporting services for electric vehicles can promote and popularize them, thereby facilitating low-carbon electricity consumption. Through coordination and incentives within the power grid, the low-carbon potential of the entire power system can be maximized.

[0003] In recent years, with the advancement of smart grid construction and the development and application of technologies such as demand response and energy efficiency management, diverse micro-loads on the user side, including commercial central air conditioning, electric vehicles, distributed energy storage, and ordinary residential loads, have grown rapidly, forming new dispatchable resources. This has brought new opportunities for low-carbon power grid dispatch and operation. Adjustable loads have advantages such as fast response, high economic efficiency, and the ability to reflect different users' electricity consumption intentions, playing a crucial role in promoting power grid carbon emission reduction and low-carbon development. However, adjustable loads also have disadvantages such as small individual capacity and dispersed distribution. Therefore, how to assess the carbon emission reduction potential of adjustable resources to maximize the release of carbon emission reduction space is a deficiency in current technologies. Summary of the Invention

[0004] To address the problem that existing technologies cannot assess the carbon reduction potential of controllable resources, this invention provides a method for assessing the carbon reduction potential of controllable resources for low-carbon power grids. By combining the maximum power generation capacity of new energy sources and the actual grid connection capacity, the carbon reduction potential of controllable resources can be assessed. This method can help understand the operating characteristics of controllable resources in low-carbon power grids and evaluate their controllability potential, enabling targeted adjustments to promote carbon reduction in the power grid.

[0005] The following is the technical solution of the present invention.

[0006] A method for assessing the carbon emission reduction potential of controllable resources for low-carbon power grids includes the following steps:

[0007] S1: Collect the required data;

[0008] S2: Construct a low-carbon power grid controllable resource response model to simulate the response characteristics of various electrical devices;

[0009] S3: Based on the low-carbon power grid controllable resource response model, construct a single controllable resource controllability potential assessment model for low-carbon power grids;

[0010] S4: Construct a model for assessing the aggregated controllability potential of controllable resources in a low-carbon power grid. Aggregate the controllability potential of individual controllable resources to obtain the aggregated controllable resource controllability potential, providing a basis for assessing the carbon emission reduction potential of controllable resources.

[0011] S5: Based on the assessment model of the aggregation and regulation potential of controllable resources in low-carbon power grid, construct an assessment model of the carbon emission reduction potential of controllable resources in low-carbon power grid. Combine the current maximum power generation and actual grid connection of new energy sources to assess the carbon emission reduction potential of controllable resources in low-carbon power grid, and carry out regulation based on the results.

[0012] This invention is designed for low-carbon power grid users. It assesses the carbon reduction potential of controllable resources by combining the maximum power generation capacity of new energy sources and the actual grid connection capacity. It can understand the operating characteristics of controllable resources in low-carbon power grids and evaluate the controllability potential of controllable resources in low-carbon power grids, so as to make targeted adjustments and promote carbon reduction in power grids.

[0013] Preferably, in step S1, the required data collection includes:

[0014] The following formula is used to collect controllable air conditioning operation information, electric vehicle operation information, dishwasher operation information, and new energy unit operation information from the low-carbon power grid:

[0015]

[0016] In the formula: X ac (t), X ev (t), X wa (t) represents the collected operating information of the controllable air conditioner, electric vehicle, and dishwasher, respectively; Let be the indoor temperature and outdoor temperature of user i at time t, respectively; It is the control indicator of the thermostat; β i For controllable air conditioning parameters; η i P is the coefficient of performance for a controllable air conditioning system. i (t) represents the controllable air conditioning power; It is the user-set temperature; ε is the dead zone for the controllable air conditioner temperature adjustment; C i R i These are indoor thermal capacitors and thermal resistors, respectively; E i (t) Energy of electric vehicle i at time t; P i c (t), P i d (t) represents the charging and discharging power of electric vehicle i at time t, respectively; These are the charging and discharging coefficients of electric vehicle i, respectively; The energy required for electric vehicle i to travel at time t; The energy required for electric vehicle i to travel on day d; Charging command (1 for charging, 0 for discharging); Scheduling instructions ( When is 1, where and (For the arrival and departure times of electric vehicle i); cyc, T cyc These represent the dishwasher's current cycle and total cycle, respectively; p cyc Rated power during the current cycle; It is a scheduling indicator. It is a binary variable representing the activation of the dishwasher at time t.

[0017] Preferably, in step S2, the construction of a low-carbon power grid controllable resource response model includes:

[0018] Construct single controllable resource response models, including controllable air conditioning response models, electric vehicle response models, and dishwasher response models;

[0019] The response model for a controllable air conditioner is shown below:

[0020]

[0021] In the formula Let η be the indoor temperature and outdoor temperature of user i at time t, respectively; i P is the performance coefficient. i (t) represents the air conditioning power, P i max For rated power, β i For air conditioning parameters, C i R i These are respectively a thermal capacitor and a thermal resistor; It is the control indicator of the thermostat; assuming the air conditioner is operated by a hysteresis control using ε dead zone regulation; It is the temperature set by the user; according to the first formula, the indoor temperature at the next moment t+△t is determined by the current indoor temperature, outdoor temperature, air conditioning parameters, air conditioning power and user temperature setting value;

[0022] The electric vehicle response model is shown below:

[0023]

[0024] In the formula, E i (t), P i c (t), P i d (t), and For electric vehicle energy, the charging and discharging power and charging / discharging coefficient of user i at time t; E i (t) subject to upper and lower limits and Limitations; charging and discharging power P i c (t) is determined by the charge / discharge limit P i max Decide, Charging state (charging is 1, discharging is 0) and Dispatch instructions ( When is 1, where and Let $i$ be the arrival time and departure time of electric vehicle $i$. The last two equations represent the energy demand of the electric vehicle during operation, where the energy demand at departure time is $i$. The energy required for a day's journey must be greater than that required for day d. Allocate during the travel period, Used for travel at time t; among which, Only in The travel period is positive;

[0025] The dishwasher response model is shown below:

[0026]

[0027] In the formula, and These are the start and end times of the dishwasher load specified by user i; cyc and T cyc For the dishwasher's current cycle and total cycle; p cyc Rated power during current cycle; P i wa (t) is the power of the dishwasher at time t; It is a binary variable representing whether the dishwasher is started at time t; It is a scheduling indicator that satisfies When it equals 1; the first expression indicates that the dishwasher can only be started once within the scheduling window; P i wa (t) is the sum of the power of each period at time t, and the sum of the power at time (t+1-cyc) is... To calculate P i wa (t), because It is a start indicator, which is only equal to 1 at the start time, therefore T cyc The time after the start time is also set to 1.

[0028] Preferably, in step S3, a model for assessing the controllability potential of a single controllable resource in a low-carbon power grid is constructed based on the low-carbon power grid controllable resource response model, including:

[0029] Based on the constructed single controllable resource response model, controllable air conditioning controllability assessment models, electric vehicle controllability assessment models, and dishwasher controllability assessment models are built to evaluate the controllability potential characteristics of controllable air conditioners, electric vehicles, and dishwashers. The controllability potential of air conditioners is defined as the amount of power reduction that can be achieved when the indoor temperature meets the user's set range. The controllable air conditioning controllability assessment model is shown below:

[0030]

[0031] In the formula This reduces the power consumption of the air conditioning load. and These are the minimum and maximum acceptable indoor temperatures for user i; only when the indoor temperature is within... Within a certain range, the air conditioning system has adjustable potential.

[0032] The assessment of the regulation potential of electric vehicles is related to their charge and discharge states. Different regulation potentials exist under charging and discharging states. This method provides assessment models for the charging regulation potential and discharging regulation potential of electric vehicles, respectively. The charging regulation potential assessment model is shown below:

[0033]

[0034]

[0035]

[0036]

[0037]

[0038]

[0039]

[0040]

[0041] In the formula and These refer to the power that can be increased / decreased without considering maximum power / energy limits; and It is a real, controllable potential; CP i (t) is the maximum possible charging energy in the remaining time;

[0042] The discharge regulation potential assessment model is shown below:

[0043]

[0044]

[0045]

[0046]

[0047] In the formula This is the power reduction capability without considering the maximum discharge power and travel energy requirements; and It is a real electric vehicle that can reduce / increase power during discharge;

[0048] The model for assessing the regulatory potential of dishwashers is shown below:

[0049]

[0050]

[0051] In the formula and These refer to the dishwasher's power reduction / increase capabilities. Refers to the starter variable The moment when it equals 1.

[0052] Preferably, in step S4, the model for assessing the potential for aggregated regulation of controllable resources in a low-carbon power grid is constructed, including:

[0053] A model for assessing the potential for increasing aggregated and controllable resources is constructed, with the following formula:

[0054]

[0055] And the aggregation of adjustable resource downgrade potential assessment model, the formula is as follows:

[0056]

[0057] In the formula, PI(t) represents the up-adjustment potential of low-carbon power grid aggregated controllable resources at time t, PR(t) represents the up-adjustment potential of low-carbon power grid aggregated controllable resources at time t, and N... ac N ev N wa These refer to the number of controllable air conditioners, electric vehicles, and dishwashers that can be controlled.

[0058] Preferably, in step S5, based on the low-carbon power grid controllable resource aggregation and control potential assessment model, a low-carbon power grid controllable resource carbon emission reduction potential assessment model is constructed. This model, combined with the current maximum power generation capacity and actual grid connection capacity of new energy sources, assesses the carbon emission reduction potential of low-carbon power grid controllable resources, including:

[0059] Construct a carbon emission reduction model for power reduction and a carbon emission reduction model for power increase, and respectively assess the carbon emission reduction potential when the power of controllable resources is reduced and the carbon emission reduction potential when the power is increased.

[0060] The model for assessing the carbon emission reduction potential of power reduction is shown below:

[0061] PR CO2 (t)=PR(t)·λ CO2 (t);

[0062] In the formula: PR CO2 (t) represents the carbon emission reduction potential of the low-carbon power grid's adjustable resources at time t; λ CO2 (t) represents the carbon emission factor per kilowatt-hour of the low-carbon power grid at time t;

[0063] The carbon emission reduction model for increasing power is shown below:

[0064]

[0065] This carbon reduction potential is related to the maximum renewable energy generation and the actual grid-connected capacity; where: PI CO2 (t) represents the carbon emission reduction potential of the low-carbon power grid's adjustable resources for power adjustment at time t; λ CO2 (t) represents the carbon emission factor per kilowatt-hour of the low-carbon power grid at time t; PX F (t) represents the maximum renewable energy generation at time t, PX B (t) represents the actual grid connection of new energy at time t.

[0066] The substantial effects of this invention include: for low-carbon grid users, by combining the maximum power generation capacity of new energy sources and the actual grid connection capacity to assess the carbon emission reduction potential of controllable resources, it is possible to grasp the operating characteristics of controllable resources in low-carbon grids and assess the controllability potential of controllable resources in low-carbon grids, so as to make targeted adjustments and promote grid carbon emission reduction. Attached Figure Description

[0067] Figure 1 This is a flowchart of an embodiment of the present invention. Detailed Implementation

[0068] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0069] It should be understood that in the various embodiments of the present invention, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0070] It should be understood that in this invention, "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or device.

[0071] It should be understood that in this invention, "multiple" refers to two or more. "And / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, "and / or B" can represent: A existing alone, A and B existing simultaneously, and B existing alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "Contains A, B, and C", "Contains A, B, and C" means that all three A, B, and C are contained; "Contains A, B, or C" means that one of A, B, and C is contained; "Contains A, B, and / or C" means that any one, two, or three of A, B, and C are contained.

[0072] The technical solution of the present invention will be described in detail below with reference to specific embodiments. Embodiments may be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0073] Example:

[0074] A method for assessing the carbon emission reduction potential of controllable resources for low-carbon power grids includes the following steps:

[0075] S1: Collect the required data;

[0076] S2: Construct a low-carbon power grid controllable resource response model to simulate the response characteristics of various electrical devices;

[0077] S3: Based on the low-carbon power grid controllable resource response model, construct a single controllable resource controllability potential assessment model for low-carbon power grids;

[0078] S4: Construct a model for assessing the aggregated controllability potential of controllable resources in a low-carbon power grid. Aggregate the controllability potential of individual controllable resources to obtain the aggregated controllable resource controllability potential, providing a basis for assessing the carbon emission reduction potential of controllable resources.

[0079] S5: Based on the assessment model of the aggregation and regulation potential of controllable resources in low-carbon power grid, construct an assessment model of the carbon emission reduction potential of controllable resources in low-carbon power grid. Combine the current maximum power generation and actual grid connection of new energy sources to assess the carbon emission reduction potential of controllable resources in low-carbon power grid, and carry out regulation based on the results.

[0080] This invention is designed for low-carbon power grid users. It assesses the carbon reduction potential of controllable resources by combining the maximum power generation capacity of new energy sources and the actual grid connection capacity. It can understand the operating characteristics of controllable resources in low-carbon power grids and evaluate the controllability potential of controllable resources in low-carbon power grids, so as to make targeted adjustments and promote carbon reduction in power grids.

[0081] like Figure 1 The diagram shown is a flowchart of an embodiment of the present invention, including:

[0082] Step 1: Propose a technology for collecting information on controllable resources in low-carbon power grids. The collected information mainly includes controllable air conditioning operation information, electric vehicle operation information, dishwasher operation information, and new energy unit operation information in low-carbon power grids, providing a basis for assessing the carbon emission reduction potential of controllable resources in low-carbon power grids.

[0083] As shown in formula (1).

[0084] In the formula: X ac (t), X ev (t), X wa (t) represents the collected operating information of the controllable air conditioner, electric vehicle, and dishwasher, respectively. Let be the indoor temperature and outdoor temperature of user i at time t, respectively; It is the control indicator of the thermostat; β i For controllable air conditioning parameters; η i P is the coefficient of performance for a controllable air conditioning system. i (t) represents the controllable air conditioning power; It is the user-set temperature; ε is the dead zone for the controllable air conditioner temperature adjustment; C i R i These are indoor thermal capacitors and thermal resistors, respectively. E i (t) Energy of electric vehicle i at time t; P ic (t), P i d (t) represents the charging and discharging power of electric vehicle i at time t, respectively; These are the charging and discharging coefficients of electric vehicle i, respectively; The energy required for electric vehicle i to travel at time t; The energy required for electric vehicle i to travel on day d; Charging command (1 for charging, 0 for discharging); Scheduling instructions ( When is 1, where and (For the arrival and departure times of electric vehicle i). cyc, T cyc These represent the dishwasher's current cycle and total cycle, respectively; p cyc Rated power during the current cycle; It is a scheduling indicator. It is a binary variable representing the activation of the dishwasher at time t.

[0085] Step 2: Construct a low-carbon power grid controllable resource response model, which mainly includes a controllable air conditioning response model, an electric vehicle response model, and a dishwasher response model. Based on their operating characteristics, simulate the response characteristics of controllable air conditioning, electric vehicles, and dishwashers.

[0086] The response model of the controllable air conditioner is shown in formula (2).

[0087] In the formula η represents the indoor and outdoor temperatures for user i at time t, respectively. i P is the performance coefficient. i (t) represents the air conditioning power, P i max For rated power, β i For air conditioning parameters, C i R i These are a thermal capacitor and a thermal resistor, respectively. It is the control indicator for the thermostat. Assume the air conditioner operates using hysteresis control with ε dead zone regulation. This is the temperature set by the user. According to the first formula, the indoor temperature at the next moment t+Δt is determined by the current indoor temperature, outdoor temperature, air conditioning parameters, air conditioning power, and the user's temperature setting.

[0088] The electric vehicle response model is shown in Equation (3).

[0089] In the formula, E i (t), P ic (t), P i d (t), and For electric vehicle energy, user i's charging and discharging power and charging / discharging coefficient at time t. i (t) subject to upper and lower limits and Limitations. Charge / discharge power P i c (t) is determined by the charge / discharge limit P i max Decide, Charging state (charging is 1, discharging is 0) and Dispatch instructions ( When is 1, where and Let i be the arrival and departure times of electric vehicle i. The last two equations represent the energy demand of the electric vehicle while it is in motion, where the energy demand at departure time is... The energy required for a day's journey must be greater than that required for day d. Allocate during the travel period, Used for travel at time t. Only in The travel period is positive.

[0090] The dishwasher response model is shown in Equation (4):

[0091]

[0092] In the formula, and These are the start and end times of the dishwasher load specified by user i. cyc and T cyc This refers to the current cycle and total cycle of the dishwasher. cyc Rated power during the current cycle. P i wa (t) is the power of the dishwasher at time t. It is a binary variable indicating whether the dishwasher is started at time t. It is a scheduling indicator that satisfies At that time, it equals 1. The first expression indicates that the dishwasher can only be started once within the scheduling window. P i wa (t) is the sum of the power of each period at time t, and the sum of the power at time (t+1-cyc) is... To calculate P i wa (t), because It is a start indicator, which is only equal to 1 at the start time, therefore T cyc The time after the start time is also set to 1.

[0093] Step 3: Construct a low-carbon power grid single controllable resource control potential assessment model. Based on the constructed controllable resource response model, construct a low-carbon power grid single controllable resource control potential assessment model, which mainly includes a controllable air conditioning control potential assessment model, an electric vehicle control potential assessment model, and a dishwasher potential assessment model, to evaluate the control potential assessment characteristics of controllable air conditioning, electric vehicles, and dishwashers.

[0094] Among them, the controllability potential of the air conditioner is the amount of power reduction that can be achieved when the indoor temperature meets the user's set range. The controllability potential evaluation model of the controllable air conditioner is shown in formula (5).

[0095] In the formula This reduces the power consumption of the air conditioning load. and These are the minimum and maximum acceptable indoor temperatures for user i, respectively. Only when the indoor temperature is within... Within a certain range, the air conditioner has the potential for adjustment.

[0096] The assessment of the regulation potential of electric vehicles is related to their charging and discharging states. They have different regulation potentials in the charging and discharging states. This method provides a model for assessing the regulation potential of electric vehicles in charging and a model for assessing the regulation potential in discharging, respectively. The model for assessing the regulation potential in charging is shown in formulas (6)-(8).

[0097]

[0098]

[0099]

[0100]

[0101]

[0102]

[0103]

[0104] In the formula and These refer to the power that can be increased / decreased without considering maximum power / energy limits. and It represents real, controllable potential. CP i (t) is the maximum possible charging energy in the remaining time.

[0105] The discharge regulation potential assessment model is shown in formulas (9)-(10).

[0106]

[0107]

[0108]

[0109] In the formula This is the power reduction factor that does not take into account the maximum discharge power and the energy required for travel. and It is the actual discharge of an electric vehicle that can reduce / increase power.

[0110] The model for evaluating the control potential of dishwashers is shown in formulas (11)-(12).

[0111]

[0112]

[0113] In the formula and These refer to the dishwasher's power reduction / increase capabilities. Refers to the starter variable The moment when it equals 1.

[0114] Step 4: Construct an assessment model for the aggregated controllability potential of controllable resources in a low-carbon power grid. Aggregate the controllability potential of individual controllable air conditioners, electric vehicles, and dishwashers to obtain the aggregated controllable resource controllability potential, providing a basis for assessing the carbon emission reduction potential of controllable resources.

[0115] The constructed low-carbon power grid controllable resource aggregation control potential assessment model is shown in formulas (13)-(14). Formula (13) is the aggregation controllable resource upward adjustment potential assessment model, and formula (14) is the aggregation controllable resource downward adjustment potential assessment model, which assesses the overall controllable potential of the power grid controllable resources.

[0116]

[0117] In the formula, PI(t) represents the up-adjustment potential of low-carbon power grid aggregated controllable resources at time t, PR(t) represents the up-adjustment potential of low-carbon power grid aggregated controllable resources at time t, and N... ac N ev N wa These refer to the number of controllable air conditioners, electric vehicles, and dishwashers that can be controlled.

[0118] Step 5: Construct a model to assess the carbon emission reduction potential of controllable resources in a low-carbon power grid. Based on the constructed model to assess the aggregated controllability potential of controllable resources, and in conjunction with the current maximum power generation capacity and actual grid connection capacity of new energy sources, assess the carbon emission reduction potential of controllable resources in a low-carbon power grid.

[0119] The carbon emission reduction potential assessment model for power reduction is shown in formula (15).

[0120] PR CO2 (t)=PR(t)·λ CO2 (t) (15)

[0121] In the formula: PR CO2 (t) represents the carbon emission reduction potential of the low-carbon power grid at time t due to the adjustable power output. CO2 (t) represents the carbon emission factor per kilowatt-hour of the low-carbon power grid at time t.

[0122] The carbon emission reduction model for increasing power output is shown in formula (16). The carbon emission reduction potential is related to the maximum power generation of new energy sources and the actual grid connection.

[0123] Where: PI CO2 (t) represents the carbon emission reduction potential of the low-carbon power grid at time t through power adjustment using controllable resources. λ CO2 (t) represents the carbon emission factor per kilowatt-hour of a low-carbon power grid at time t. PX F (t) represents the maximum renewable energy generation at time t, PX B (t) represents the actual grid connection of new energy at time t.

[0124] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the specific device can be divided into different functional modules to complete all or part of the functions described above.

[0125] In the embodiments provided in this application, it should be understood that the disclosed structures and methods can be implemented in other ways. For example, the structural embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another structure, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between structures or units, and may be electrical, mechanical, or other forms.

[0126] Furthermore, in the embodiments of this application, the functional units can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0127] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0128] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for assessing the carbon emission reduction potential of controllable resources for low-carbon power grids, characterized in that, Includes the following steps: S1: Collect the required data; S2: Construct a low-carbon power grid controllable resource response model to simulate the response characteristics of various electrical devices; S3: Based on the low-carbon power grid controllable resource response model, construct a single controllable resource controllability potential assessment model for low-carbon power grids; S4: Construct a model for assessing the aggregated controllability potential of controllable resources in a low-carbon power grid. Aggregate the controllability potential of individual controllable resources to obtain the aggregated controllable resource controllability potential, providing a basis for assessing the carbon emission reduction potential of controllable resources. S5: Based on the assessment model of the aggregation and controllability potential of controllable resources in low-carbon power grid, construct an assessment model of the carbon emission reduction potential of controllable resources in low-carbon power grid. Combine the current maximum power generation and actual grid connection of new energy sources to assess the carbon emission reduction potential of controllable resources in low-carbon power grid, and carry out control based on the results. Collect the required data, including: controllable air conditioning operation information, electric vehicle operation information, dishwasher operation information, and new energy unit operation information of the low-carbon power grid; Constructing controllable resource response models for low-carbon power grids includes: constructing single controllable resource response models, including controllable air conditioning response models, electric vehicle response models, and dishwasher response models; Based on the controllable resource response model of low-carbon power grids, a model for assessing the controllability potential of a single controllable resource in low-carbon power grids is constructed, including: Based on the constructed single controllable resource response model, we constructed controllable air conditioning control potential assessment models, electric vehicle control potential assessment models, and dishwasher control potential assessment models to evaluate the controllable air conditioning, electric vehicle, and dishwasher control potential characteristics. In step S4, a model for assessing the potential for aggregated regulation of controllable resources in a low-carbon power grid is constructed, including: A model for assessing the potential for increasing aggregated and controllable resources is constructed, with the following formula: ； And the aggregation of adjustable resource downgrade potential assessment model, the formula is as follows: ； In the formula To aggregate controllable resources for low-carbon power grids, the potential for adjustment in t is increased. To aggregate controllable resources for low-carbon power grids, the potential for adjustment in t is realized. , , These refer to the number of controllable air conditioners, electric vehicles, and dishwashers that can be controlled; In step S5, based on the assessment model of the aggregation and controllability potential of controllable resources in a low-carbon power grid, a carbon emission reduction potential assessment model of controllable resources in a low-carbon power grid is constructed. This model, combined with the current maximum power generation capacity and actual grid connection capacity of new energy sources, assesses the carbon emission reduction potential of controllable resources in a low-carbon power grid, including: Construct a carbon emission reduction model for power reduction and a carbon emission reduction model for power increase, and respectively assess the carbon emission reduction potential when the power of controllable resources is reduced and the carbon emission reduction potential when the power is increased. The model for assessing the carbon emission reduction potential of power reduction is shown below: ； In the formula: The potential for carbon emission reduction by adjusting the power output of the low-carbon power grid at time t; Let be the carbon emission factor per kilowatt-hour of a low-carbon power grid at time t; The carbon emission reduction model for increasing power is shown below: ； This carbon emission reduction potential is related to the maximum renewable energy generation capacity and the actual grid-connected capacity; where: The potential for carbon emission reduction by adjusting the power of controllable resources in a low-carbon power grid at time t. Let be the carbon emission factor per kilowatt-hour of a low-carbon power grid at time t; The maximum power generation of new energy at time t, This represents the actual grid-connected capacity of new energy sources at time t.

2. The method for assessing the adjustable resource carbon emission reduction potential for low-carbon power grids according to claim 1, characterized in that, In S1, the formula is as follows: ； In the formula: , , These are the collected operating information for controllable air conditioners, electric vehicles, and dishwashers, respectively. , users respectively i exist t The indoor and outdoor temperatures at any given time; It is the control indicator of the temperature controller; These are controllable air conditioning parameters; The coefficient of performance (COP) of a controllable air conditioning system; Controllable air conditioner power; It is the temperature set by the user; This is a dead zone for controllable air conditioning temperature regulation; , These are indoor thermal capacitors and thermal resistors, respectively; electric vehicles i exist t The energy of a moment; , Electric vehicles i exist t The charging and discharging power at any given moment; , Electric vehicles i The charge / discharge coefficient; For electric vehicles i exist t The energy needed for constant travel; For electric vehicles i exist d Energy required for daily travel; Charging command: 1 for charging, 0 for discharging; Dispatch instructions, When is 1, where and For electric vehicles i Arrival and departure times; , These are the dishwasher's current cycle and total cycle, respectively. Rated power during the current cycle; It is a scheduling indicator. It is a binary variable represented in t Always keep the dishwasher running.

3. The method for assessing the adjustable resource carbon emission reduction potential for low-carbon power grids according to claim 1, characterized in that, In S2, the response model of the controllable air conditioner is as follows: ； In the formula , users respectively i exist t The indoor and outdoor temperatures at any given time; For controllable air conditioning performance coefficient, To control the air conditioner power, Rated power, For controllable air conditioning parameters, , These are indoor thermal capacitors and thermal resistors, respectively; It is the control indicator for the thermostat; assuming the air conditioner is operated by a hysteresis control. Dead zone adjustment; It is the temperature set by the user; according to the first formula, the next moment... The indoor temperature is determined by the current indoor temperature, outdoor temperature, air conditioning parameters, air conditioning power, and user temperature setting. The electric vehicle response model is shown below: ； In the formula, , , , and For electric vehicle energy, users i exist t The charging and discharging power and the charging and discharging coefficient at any given time; Subject to upper and lower limits and Limitations; charging and discharging power , Due to charge and discharge limits Decide, Charging command: 1 for charging, 0 for discharging. Dispatch instructions, When is 1, where and For electric vehicles i The arrival and departure times are given; the last two formulas represent the energy demand of the electric vehicle while it is in motion, where the energy demand at departure time is [calculated as] ... Must be greater than d Energy required for day trip , Allocate during the travel period For t Travel at any time; among them, Only in The travel period is positive; The dishwasher response model is shown below: ； In the formula, and User i The specified start and end times for the dishwasher load; cyc and This refers to the dishwasher's current cycle and total cycle time. Rated power during the current cycle; yes t The dishwasher's power at any given time; It is a binary variable represented in t Should the dishwasher be started at any time? It is a scheduling indicator that satisfies At that time, it equals 1; the first expression indicates that the dishwasher can only be started once within the scheduling window; Pick t The sum of the power in each cycle at time t, take Moment To calculate ,because It is a startup indicator, which is only equal to 1 at startup, therefore The time after the start time is also set to 1.

4. The method for assessing the adjustable resource carbon emission reduction potential for low-carbon power grids according to claim 3, characterized in that, In S3, the controllability potential of the air conditioner is the amount of power reduction that can be achieved when the indoor temperature meets the user's set range. The controllable air conditioner controllability potential evaluation model is as follows: ； In the formula This reduces the power consumption of the air conditioning load. and These are the minimum and maximum acceptable indoor temperatures for user i; only when the indoor temperature is within... Within a certain range, the air conditioning system has adjustable potential. The assessment of the regulation potential of electric vehicles is related to their charge and discharge states. Different regulation potentials exist under charging and discharging states. This method provides assessment models for the charging regulation potential and discharging regulation potential of electric vehicles, respectively. The charging regulation potential assessment model is shown below: ； ； ； In the formula and These refer to the power that can be increased / decreased without considering maximum power / energy limits; and It is a real, controllable potential; It represents the maximum possible charging energy within the remaining time. The discharge regulation potential assessment model is shown below: ； ； In the formula This is the power reduction capability without considering the maximum discharge power and travel energy requirements; and It is a real electric vehicle that can reduce / increase power during discharge; The model for assessing the regulatory potential of dishwashers is shown below: ； ； In the formula and These refer to the dishwasher's power reduction / increase capabilities. Refers to the starter variable The moment when it equals 1.

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