A Method and System for Calculating Energy Absorption Potential Based on Energy Supply and Consumption Characteristic Curve Matching

Abstract

This invention discloses a method and system for calculating the absorption potential of distributed photovoltaic power based on the matching and quantification of energy supply and consumption characteristic curves, belonging to the field of new energy system planning and evaluation technology. The method includes the following steps: constructing energy supply and consumption curves for a rural energy system; calculating the maximum photovoltaic capacity of the energy supply and consumption curves based on the matching area of ​​the piecewise integral curves, and evaluating the natural absorption capacity based on the maximum photovoltaic capacity; constructing an optimization model based on the evaluation results of the natural absorption capacity, considering the active adjustment effect of the load, solving the optimization model to obtain the optimal load adjustment scheme, and evaluating the active absorption capacity of the rural energy system for distributed photovoltaic power. This invention characterizes the time-series characteristics and dynamic matching relationship of energy supply and consumption through energy supply and consumption curves, and calculates the optimal installed capacity and power generation of photovoltaic power by obtaining the overlapping area of ​​fixed and variable curves, thus completing the accurate evaluation of the distributed photovoltaic absorption potential under both natural and adjustable load active adjustment scenarios.

Description

Technical Field

[0001] This invention relates to the field of new energy system planning and evaluation technology, and in particular to a method and system for calculating absorption potential based on the matching and quantification of energy supply and consumption characteristic curves. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] Rural energy systems based on distributed photovoltaic (PV) power are developing rapidly. These systems fully utilize rooftops, barren hills, and tidal flats to develop distributed PV, enabling a green and low-carbon transformation of local energy consumption and providing bidirectional support for grid interaction. However, due to the uncertainty, volatility, intermittency, and mismatch between PV power output and energy consumption timing, situations arise where electricity generation exceeds local load demand during periods of abundant sunshine and peak power generation, leading to curtailment of distributed PV power. This not only affects the economic benefits of PV power generation but also restricts the effective utilization of clean energy in rural areas. Meanwhile, adjustable load resources, represented by electric vehicles, electric heating, and commercial and residential air conditioning, are showing a rapid growth and diversification trend. These loads possess significant potential for regulation without requiring additional investment, and their proactive control can enhance the absorption of distributed PV power. Adjustable loads can change their energy consumption patterns or power levels within specific time periods, achieving effects such as energy consumption shifting, peak shaving, valley filling, or real-time response. This not only effectively mitigates the volatility of PV output but also proactively increases electricity demand during periods of oversupply to avoid curtailment. Therefore, it is necessary to scientifically and rationally plan the construction scale of distributed photovoltaic power, and to achieve precise matching and efficient consumption of energy supply and demand through effective technical means.

[0004] However, in the process of developing distributed photovoltaics using idle resources such as rural rooftops, improper photovoltaic configuration may lead to problems such as curtailment. Therefore, how to evaluate the photovoltaic absorption potential of rural energy systems is the first question to be answered in the construction of rural energy systems. In particular, how to consider the impact of the rapid increase in active load in rural energy systems should also be taken into account.

[0005] To assess the distributed photovoltaic (PV) grid integration potential of a given energy system, current methods mainly fall into two categories: one is calculation methods based on a single-dimensional characteristic of the energy system (such as electricity generation or power). Electricity-based assessment methods typically compare the total annual power generation of distributed PV with the total annual electricity consumption of the rural energy system to determine the system's integration capacity. Power-based assessment methods, based on the load factor of key components connecting distributed PV to the grid, divide different energy supply areas into green zones (sufficient integration capacity), yellow zones (indicating integration bottlenecks), and red zones (posing a serious risk of curtailment), thus providing a qualitative assessment. The advantages of these methods are their simple models and rapid calculations, providing planners with preliminary, directional judgments. Their main disadvantage is that they do not consider the refined temporal characteristics of PV output and load consumption and struggle to incorporate the impact of active regulation, thus failing to provide accurate figures for the amount of electricity to be integrated.

[0006] The second method is the assessment method based on time-series production simulation. Its core idea is to construct a refined production simulation assessment tool. Using electrical equipment parameters and external environmental parameters as input, software tools simulate the long-term operating status of the energy system, providing detailed hourly (or smaller time step) operating curves for various equipment such as distributed photovoltaic systems and loads. Furthermore, it calculates the photovoltaic power consumption and corresponding installed capacity through point-by-point comparison and integration over time. The advantages of this method are high assessment accuracy, precise consideration of the dynamic operating characteristics and time-series features of the energy system, and inclusion of the impact of load regulation. The main disadvantages are the need for massive amounts of meteorological, load, and equipment operation data, the complexity of model construction and use requiring high levels of user expertise, and the difficulty in widespread application due to insufficient data in the initial assessment stage.

[0007] Furthermore, not all existing rural energy systems possess the capability for active load regulation. Some rural energy systems only have natural absorption capacity, while others possess both natural and active absorption capacity. Therefore, how to assess both the natural absorption capacity of distributed photovoltaic (PV) systems without active regulation and the active absorption capacity after adjustable load regulation is a problem that urgently needs to be solved in the optimal planning of distributed PV systems.

[0008] In conclusion, how to adapt to the assessment of the absorption potential of rural energy systems in multiple scenarios, and balance the accuracy of the assessment with the complexity of use in scenarios where there is not a large amount of supporting data, to achieve a scientific assessment of the absorption potential of distributed photovoltaic power remains an engineering challenge. Summary of the Invention

[0009] To address the shortcomings of existing technologies, the purpose of this invention is to provide a method and system for calculating the absorption potential based on the matching and quantification of energy supply and consumption characteristic curves. By depicting the time-series characteristics and dynamic matching relationship of energy supply and consumption through energy supply and consumption curves, the optimal installed capacity and power generation of photovoltaics are calculated by obtaining the overlapping area of ​​fixed and variable curves, thus completing the accurate assessment of the absorption potential of distributed photovoltaics under two scenarios: natural and adjustable load active regulation.

[0010] To achieve the above objectives, the present invention is implemented through the following technical solution:

[0011] The first aspect of this invention provides a method for calculating energy absorption potential based on energy supply and consumption characteristic curve matching quantification, comprising the following steps:

[0012] Obtain load parameters and relevant parameters of target photovoltaic products in the rural energy system, construct the energy supply and consumption curve of the rural energy system, and determine the load regulation conditions of the rural energy system. The load regulation conditions of the rural energy system include those with active load regulation conditions and those without active load regulation conditions.

[0013] For rural energy systems that lack the conditions for active load regulation, the maximum photovoltaic capacity of the energy supply and consumption curve is calculated based on the matching area of ​​the piecewise integral curve, and the natural absorption capacity is assessed based on the maximum photovoltaic capacity.

[0014] For rural energy systems with active load regulation capabilities, an optimization model is constructed based on natural absorption capacity and considering the active load regulation effect. The optimal load regulation scheme is obtained by solving the optimization model, and the active absorption capacity of rural energy systems for distributed photovoltaic power is evaluated.

[0015] Furthermore, the energy supply and consumption curves of the rural energy system include the normalized maximum photovoltaic power generation capacity curve and the load energy consumption curve. Specifically, a physical model is constructed based on the relevant parameters of the target photovoltaic product and the power generation relationship to obtain the normalized maximum photovoltaic power generation capacity curve; the energy consumption curves of various loads are calculated and fitted according to the load parameters to obtain the load energy consumption curve.

[0016] Furthermore, load types include general loads, electric heating loads, air conditioning loads, electric-to-gas loads, and water heater loads.

[0017] Furthermore, the specific steps for calculating the maximum photovoltaic capacity of the energy supply and consumption curve based on the matching area of ​​the piecewise integral curve, and for assessing the natural absorption capacity based on the maximum photovoltaic capacity, are as follows:

[0018] Align the energy supply and consumption curves and set the initial photovoltaic capacity;

[0019] Based on the potential analysis, a maximum photovoltaic power generation curve is constructed using the normalized maximum photovoltaic power generation curve and the initial photovoltaic capacity.

[0020] The matching area of ​​the energy supply and consumption curves is calculated based on the piecewise integration method;

[0021] The convergence of the calculation results is verified based on the operational indicators.

[0022] Furthermore, based on natural absorption capacity, an optimization model is constructed considering the active regulation effect of the load. Solving the optimization model yields the optimal load regulation scheme. The specific steps for evaluating the active absorption capacity of the rural energy system for distributed photovoltaic power are as follows:

[0023] The investigation aims to determine the adjustment boundaries of the adjustable load.

[0024] Align the energy supply and consumption curves and set the initial photovoltaic capacity;

[0025] Based on the potential analysis, a maximum photovoltaic power generation curve is constructed using the normalized maximum photovoltaic power generation curve and the initial photovoltaic capacity.

[0026] Establish adjustment boundary constraints for various types of equipment by considering their physical characteristics and energy requirements;

[0027] Construct grid input power constraints based on power balance principles and reverse power demand;

[0028] An objective function is constructed with the goal of maximizing annual photovoltaic power generation, and an optimization model is formed by simultaneously setting the adjustment boundary constraints of various equipment and the grid input power constraints.

[0029] The optimization model is modeled and solved using a mature commercial solver.

[0030] The convergence of the solution results is verified based on operational indicators to obtain the active absorption capacity.

[0031] Furthermore, based on operational indicators, the convergence of the solution results is checked, and the specific steps to obtain the active absorption capacity are as follows:

[0032] The optimal photovoltaic capacity is determined based on the comparison between the curtailment rate and the maximum allowable curtailment rate.

[0033] The optimal load regulation scheme is constructed based on the power adjustment amounts for electric heating, air conditioning, electricity-to-gas conversion, and water heater corresponding to the optimal photovoltaic capacity.

[0034] The distributed photovoltaic power generation corresponding to the optimal photovoltaic capacity is the active absorption capacity.

[0035] Furthermore, the curtailment power is calculated based on the actual power generation curve of distributed photovoltaic power and the maximum power generation capacity curve of photovoltaic power, and the curtailment rate is calculated based on the curtailment power and the maximum photovoltaic power generation.

[0036] A second aspect of the present invention provides a system for calculating energy absorption potential based on energy supply and consumption characteristic curve matching quantization, comprising:

[0037] The energy supply and consumption curve construction module is configured to acquire load parameters and relevant parameters of the target photovoltaic products in the rural energy system, construct the energy supply and consumption curve of the rural energy system, and determine the load regulation conditions of the rural energy system. The load regulation conditions of the rural energy system include having active load regulation conditions and not having active load regulation conditions.

[0038] The natural absorption capacity assessment module is configured to calculate the maximum photovoltaic capacity of the energy supply and consumption curve based on the matching area of ​​the piecewise integral curve for rural energy systems that do not have the conditions for active load regulation, and assess the natural absorption capacity based on the maximum photovoltaic capacity.

[0039] The active absorption capacity assessment module is configured to construct an optimization model based on natural absorption capacity and considering the active load adjustment effect for rural energy systems with active load adjustment conditions. The optimization model is solved to obtain the best load adjustment scheme and to evaluate the active absorption capacity of rural energy systems for distributed photovoltaic power.

[0040] A third aspect of the present invention provides a computer-readable storage medium storing a computer program adapted to be loaded by a processor and to execute steps in the energy consumption potential calculation method based on energy supply and consumption characteristic curve matching quantization as described in the first aspect of the present invention.

[0041] A fourth aspect of the present invention provides a computer device comprising:

[0042] A processor, adapted to execute computer programs;

[0043] A computer-readable storage medium storing a computer program, which, when executed by the processor, implements the absorption potential calculation method based on energy supply and consumption characteristic curve matching quantization as described in the first aspect of the present invention.

[0044] The above one or more technical solutions have the following beneficial effects:

[0045] This invention discloses a method and system for calculating photovoltaic (PV) absorption potential based on the matching and quantification of energy supply and consumption characteristic curves. First, it proposes a method for constructing the maximum PV power generation capacity curve and various load consumption curves based on physical models and meteorological conditions. Then, it proposes a method for calculating the overlapping area of ​​the energy supply and consumption curves to quantify the absorption potential of PV in rural energy systems under natural load conditions. Finally, it establishes an optimization model with the objective function of maximizing PV power absorption, comprehensively considering constraints such as load adjustability and user comfort, to determine the optimal load adjustment scheme and simultaneously calculate the PV absorption potential after active load adjustment. The method proposed in this invention comprehensively considers the temporal characteristics of PV energy supply and various load consumption, the physical characteristics of load adjustment, and user comfort, among other core elements. It can accurately depict the dynamic matching relationship of energy supply and consumption curves, achieving accurate assessment of natural absorption capacity under uncontrolled conditions and absorption potential after active load adjustment. This can provide support for the optimized allocation of PV capacity in rural energy systems and the design of efficient absorption control strategies, and has good application prospects in promoting the absorption of high-proportion renewable energy and assisting in the power balance of the power system.

[0046] This invention is applicable to the optimized configuration of distributed photovoltaic (PV) capacity in rural energy systems. It mainly comprises three parts: constructing energy supply and consumption curves for rural energy systems; calculating the curve matching area based on piecewise integration and assessing natural absorption capacity; and calculating the maximum overlapping area considering active load adjustment and assessing active absorption capacity. The first part surveys the time-series curves of annual sunshine, temperature, and other meteorological conditions in rural areas. Combined with key parameters of the target PV equipment, a maximum PV power generation curve is generated based on a physical model. Further surveys are conducted on the electrical equipment and energy consumption habits of major loads, and a model fitting method is used to generate load consumption curves. The second part calculates the overlapping area of ​​the energy supply and consumption curves based on piecewise integration and iteratively calculates the maximum installable PV capacity and power generation that meet the absorption requirements, quantifying the natural absorption capacity of distributed PV in rural energy systems. The third part constructs an optimization model with the objective function of maximizing PV power absorption. It comprehensively considers key constraints such as load adjustability, physical characteristics, and user comfort, and solves to determine the optimal load adjustment scheme. Simultaneously, it calculates the PV power absorption and capacity after considering active load adjustment, quantifying the active absorption capacity of distributed PV in rural energy systems.

[0047] This invention addresses the core challenges of supply-demand mismatch and grid curtailment caused by large-scale integration of high-penetration photovoltaic (PV) power into rural energy systems. It proposes a method for calculating the distributed PV absorption potential based on the matching and quantification of supply and demand curves. The proposed method assesses the temporal matching characteristics of PV power supply and various load consumption curves by calculating the overlap area between the PV maximum power generation curve and these curves, thereby calculating the natural absorption capacity of distributed PV in rural energy systems. Furthermore, it considers the active absorption effect of the energy system, maximizing distributed PV power generation through time-shifted load regulation, and constructs a corresponding optimization model to evaluate the absorption potential of distributed PV under active control.

[0048] This invention presents a method for calculating the distributed photovoltaic (PV) absorption potential of rural energy systems based on the matching and quantification of energy supply and demand curves. It aims to scientifically plan PV installation capacity considering factors such as supply-demand mismatch and grid absorption bottlenecks resulting from the large-scale integration of high-penetration PV power into rural energy systems. This method quantifies the time-series matching characteristics between PV energy supply and various load consumption patterns to achieve accurate assessment of the absorption potential of rural energy systems. Furthermore, it considers the impact of adjustable load optimization on improving the absorption level of distributed PV, evaluating the influence of proactive regulation, and providing technical support for the rational planning of distributed PV in rural energy systems.

[0049] This invention also enables different methods for assessing the absorption capacity of rural energy systems based on different scenarios. It can achieve a separate assessment of natural absorption capacity, applicable to rural energy systems without adjustable loads. For rural energy systems with active load regulation capabilities, this invention, based on the natural absorption capacity assessment, achieves a scientific assessment of active absorption capacity by solving an optimization model with the objective function of maximizing photovoltaic power absorption.

[0050] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1 This is a block diagram illustrating the structural principle of the rural energy system of the present invention.

[0053] Figure 2 This is a flowchart of the absorption potential calculation method based on energy supply and consumption characteristic curve matching quantification in Embodiment 1 of the present invention;

[0054] Figure 3 This is a flowchart illustrating the construction of energy supply and consumption curves for a rural energy system in Embodiment 1 of the present invention.

[0055] Figure 4 This is a flowchart of the curve matching area calculation and natural absorption capacity assessment based on piecewise integration in Embodiment 1 of the present invention;

[0056] Figure 5 This is a flowchart of the calculation of the maximum overlapping area and the assessment of the active absorption capacity considering the active load adjustment in Embodiment 1 of the present invention;

[0057] Figure 6 This is a schematic diagram of the energy supply and consumption curve matching results under natural absorption in Embodiment 1 of the present invention;

[0058] Figure 7 This is a schematic diagram of the energy supply and consumption curve matching results under active consumption in Embodiment 1 of the present invention. Detailed Implementation

[0059] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0060] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0061] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0062] Existing rural energy systems such as Figure 1As shown, the system relies on distributed photovoltaic (PV) power and the external power grid for electricity supply, air conditioning and heat pumps to meet the space's cooling / heating needs, water heaters to meet the hot water needs, P2G (Power-to-Ground) equipment to meet the gas needs, and lighting and temperature control equipment to meet the production needs of agricultural lighting and greenhouse temperature control. Assessing the absorption potential of distributed PV is a crucial step in system planning and efficient operation. Absorption potential refers to the maximum installed PV power and the maximum PV power that the system can consume over a certain period (usually one year), given the energy system structure, resource endowment, and load characteristics, under permissible operating conditions (such as curtailment rate and maximum backfeed rate).

[0063] Assuming the normalized maximum photovoltaic power generation capacity curve is Photovoltaic capacity is The maximum power generation capacity curve for photovoltaic power is then:

[0064] (1).

[0065] In the formula, This is the curve showing the maximum power generation capacity of photovoltaics.

[0066] Clearly, the normalized maximum output curve is determined by local resource endowments such as sunlight and temperature, reflecting the natural conditions of photovoltaics in the region. At this point, the actual photovoltaic output should be less than the aforementioned maximum output, i.e.:

[0067] (2).

[0068] In the formula, This is the actual power generation curve of distributed photovoltaic power.

[0069] The curtailment power curve for distributed photovoltaic power is as follows:

[0070] (3).

[0071] In the formula, This is the curve of power curtailment from distributed photovoltaic power.

[0072] Distributed photovoltaic power generation, curtailment, and curtailment rate can be calculated using the following formula:

[0073] (4).

[0074] In the formula, , These represent the total power generation and the amount of abandoned electricity generated by distributed photovoltaic power. r、 This refers to the distributed photovoltaic curtailment rate and the maximum permissible curtailment rate.

[0075] When the photovoltaic output of a rural energy system exceeds the total load, it uses photovoltaic power; when photovoltaic power generation is insufficient, it draws power from the grid. Therefore, the input power from the grid to the energy system is:

[0076] (5).

[0077] In the formula, This is the total load energy consumption curve. This represents the input power flowing from the power grid to the energy system. Clearly, the reverse power flow (when negative) from the power grid should not exceed the requirements of the power grid management department, i.e.:

[0078] (6).

[0079] In the formula, The rated power of the grid-connected transformer for the energy system. This is the maximum backfeed rate allowed by the power grid management department.

[0080] The assessment of the distributed photovoltaic (PV) grid integration potential is as follows: Under the physical constraints of equations (1)-(3) and (5) and the management constraints of equations (4) and (6), the maximum installed capacity of distributed PV is determined. and the corresponding distributed photovoltaic power generation The absorption potential is related to the load level of the energy system (maximum and integral values) and its temporal consistency with the photovoltaic power generation curve. Generally, the larger the load, the greater the absorption potential. and The better the consistency of the time-varying pattern, the greater the absorption potential. Generally, the photovoltaic absorption potential of an energy system under no-load regulation is called natural absorption capacity, while the absorption potential after active regulation of adjustable loads (such as time shifting, peak shaving and valley filling, or flexible response) is called active absorption capacity. The former reflects the system's passive adaptability under natural operating conditions, while the latter reflects the potential for further improvement in absorption potential after active intervention.

[0081] Current methods for assessing photovoltaic (PV) grid integration potential can be mainly divided into two categories. The first category is a calculation method based on a single dimension of the energy system's characteristics. For example, for industrial park scenarios, the annual electricity consumption is usually calculated first. Then, with the expected absorption coefficient The annual photovoltaic (PV) power generation is calculated by multiplying the results, and then divided by the annual utilization hours (h) of distributed PV to obtain the installed PV capacity. This method requires little data, is simple to calculate, and can quickly determine the PV absorption potential of an industrial park. However, it does not consider the time-varying patterns of load and PV, resulting in lower accuracy. Both `h` and `h` rely on experience for selection, leading to a significant influence of the evaluator's professional level on the assessment results. For example, for distribution transformer areas, using equipment load rate as the primary indicator while also considering power quality indicators such as voltage deviation and harmonics, different areas are divided into green, yellow, and red zones to reflect the relative size of the distributed photovoltaic (PV) capacity that can be further connected. This method is comprehensive and has significant practical application effects, but it mainly provides qualitative conclusions from the perspective of grid security and cannot provide specific values ​​for the continued PV connection capacity and the amount of electricity that can be absorbed.

[0082] The second category is assessment methods based on time-series production simulation. The core idea is to build sophisticated production simulation assessment software. Using electrical equipment parameters and external environmental parameters as input, the software simulates the long-term operating status of the energy system, providing detailed hourly (or smaller time step) operating curves for various equipment such as distributed photovoltaic systems and loads. Furthermore, it calculates the photovoltaic power consumption and corresponding installed capacity through point-by-point comparison and integration over time. This method accurately reflects the dynamic operating characteristics of the system and yields highly accurate results regarding consumption potential. However, it requires collecting various data such as equipment parameters and meteorological conditions, demanding a high level of expertise from users. Additionally, the toolkit modeling and development process is complex and labor-intensive, and mature, commercially available software is still not available.

[0083] In summary, existing methods and tools for assessing photovoltaic (PV) grid absorption potential either prioritize engineering practicality and employ overly simplistic models, resulting in low accuracy, or prioritize accuracy at the expense of complexity, leading to high difficulty in tool development and use. A method that balances accuracy and complexity is currently lacking. In fact, the time-series matching between the load curve and the PV curve is crucial to assessment accuracy. Incorporating curve time-series analysis into the first type of method, by quantifying the degree of time-series matching between the source and load curves, can significantly improve assessment accuracy. Simultaneously, it eliminates the need for complex equipment modeling and matching control, thus avoiding a significant increase in computational and operational complexity.

[0084] Example 1:

[0085] To address the aforementioned problems in the prior art, Embodiment 1 of this invention provides a method for calculating absorption potential based on the matching and quantification of energy supply and consumption characteristic curves. The main steps include constructing energy supply and consumption curves for rural energy systems, calculating the curve matching area based on piecewise integration and assessing natural absorption capacity, and calculating the maximum overlapping area considering active load adjustment and assessing active absorption capacity. The main process of the proposed method is as follows: Figure 2 As shown, the detailed steps for each part are as follows:

[0086] Step 1: Obtain the load parameters and relevant parameters of the target photovoltaic products in the rural energy system, construct the energy supply and consumption curve of the rural energy system, and determine the load regulation conditions of the rural energy system.

[0087] Among them, the load regulation conditions of rural energy systems include two types: those with active load regulation conditions and those without.

[0088] This embodiment constructs energy supply and consumption curves for a rural energy system, providing a foundation for subsequent time-series matching area calculations. These curves include a normalized maximum photovoltaic (PV) power generation capacity curve and a load energy consumption curve. Matching analysis of these two curves yields the actual PV output curve, which is then used to calculate the absorption capacity. A physical model is constructed based on the relevant parameters and power generation relationship of the target PV product, resulting in the normalized maximum PV power generation capacity curve. This process involves three steps: determining the target PV product model and key parameters, acquiring time-series data on sunlight and temperature, and converting meteorological time-series data into a power generation time-series curve. Energy consumption curves for various load types are calculated and fitted based on load parameters to obtain the load energy consumption curves. The construction of these curves focuses on the energy consumption characteristics of different load types, including load type analysis, construction of energy consumption curves for various load types (general loads such as lighting, and electric heating, air conditioning, and electricity-to-gas conversion), and summation of the total load curve.

[0089] like Figure 3 As shown, the specific steps include:

[0090] Step 1.1: Construct a normalized maximum photovoltaic power generation capacity curve.

[0091] In one specific implementation, the relevant parameters of the target photovoltaic product include equipment parameters and relevant meteorological parameters. The equipment parameters for that model of the target photovoltaic product are obtained by using its model number, primarily including the power temperature coefficient. Standard solar irradiance corresponding to the product's rated operating conditions and standard temperature ;

[0092] Meteorological parameters relevant to the operation of distributed photovoltaic systems in the region are obtained from weather stations or publicly available data sources, mainly including the annual variation curve of ground irradiance. Annual variation curve of ground temperature .

[0093] Substitute the equipment parameters and relevant meteorological parameters into the following formula to calculate the normalized maximum photovoltaic power generation curve. :

[0094] (7).

[0095] Step 1.2: Construct load energy consumption curves based on the load energy consumption of various types of loads.

[0096] Step 1.2.1: Investigate the main load types and equipment parameters of the energy system.

[0097] In one specific implementation, the load types of the energy system include, but are not limited to, general loads such as lighting and television, electric heating loads, air conditioning loads, electricity-to-gas loads, and water heater loads.

[0098] Record the list of all types of loads, and investigate the main parameters of the equipment for each type of load and the energy needs of users. If the load is a general load, the main parameter is the load capacity. Annual curve of maximum daily load rate Normalized typical load curves for weekdays and holidays in all four seasons .

[0099] If the load is an electric heating load, the main parameter is the heating efficiency. Thermal resistance of the hot water storage tank to air and the wall surface in contact with the ground and Supply and return water temperatures and Heat capacity With the total mass of water stored User behavior parameters are user water consumption. Meteorological parameters are typical curves of outdoor air temperature and ground temperature. and .

[0100] If the load is an air conditioning load, the main parameter is the cooling efficiency of the air conditioning system. Room thermal resistance Meteorological parameters are outdoor temperature curves. .

[0101] If the load is an electricity-to-gas load, the main parameter is the high calorific value of natural gas. Conversion efficiency Gas storage tank self-consumption rate Input and output conversion efficiency and User behavior parameters include gas consumption. .

[0102] If the load is a water heater load, the main parameter is heating efficiency. The thermal resistance of the water heater Inlet and outlet water temperatures and Heat capacity With the total mass of water stored User behavior parameters refer to the quality of water used by the user. Meteorological parameters are typical indoor air temperature curves. .

[0103] Step 1.2.2: Construct annual energy consumption curves for various types of loads based on their characteristics.

[0104] In one specific implementation, if the load is a normal load, it is first determined whether the day is a workday or a public holiday based on whether it is a Saturday, Sunday, or a statutory holiday. Then, based on the correspondence between the four seasons and the date, the normalized typical load curve for each day is determined. and the maximum load rate of the day The daily load curve is further calculated using the following formula:

[0105] (8).

[0106] Iterate through each day in turn, that is... By taking values ​​from 1 to 365 in sequence, the annual energy consumption curve for a typical load can be obtained.

[0107] If the load is an electric heating load, then the water temperature is set to a fixed value during operation. Substituting the relevant survey parameters for electric heating into the following formula, the annual outdoor temperature curve, ground temperature curve, and flow rate curve can be converted into an electric heating load curve:

[0108] (9).

[0109] If the load is an air conditioning load, then set the room temperature to a fixed value during its operation. Substituting the relevant air conditioning survey parameters into the following formula, the annual outdoor temperature curve can be converted into an air conditioning load curve:

[0110] (10).

[0111] If the load is an electric-to-gas load, then the amount of gas stored in the gas storage tank during its operation is set to a fixed value. Substituting the relevant survey parameters for electricity-to-gas conversion into the following formula, the annual gas consumption curve can be converted into an electricity-to-gas load curve:

[0112] (11).

[0113] If the load is a water heater load, then set the water temperature to a fixed value during its operation. Substituting the relevant survey parameters of the water heater into the following formula, the annual indoor temperature curve and water consumption curve can be converted into a water heater load curve:

[0114] (12).

[0115] Step 1.2.3: Add the annual energy consumption curves of the above-mentioned types of loads together to obtain the load energy consumption curve, i.e.

[0116] (13).

[0117] Step 2: For rural energy systems that do not have the conditions for active load regulation, calculate the maximum photovoltaic capacity of the energy supply and consumption curve based on the matching area of ​​the piecewise integral curve, and assess the natural absorption capacity based on the maximum photovoltaic capacity.

[0118] This embodiment calculates the overlap area between the maximum photovoltaic power generation capacity curve and the load consumption curve using a piecewise integral method. Based on this, iterative calculation is used to determine the maximum photovoltaic capacity that meets the curtailment rate requirements. The photovoltaic capacity and corresponding photovoltaic power generation at this point are used as the assessment result of the photovoltaic natural absorption capacity. The main steps include aligning the supply and consumption curves and setting the initial photovoltaic capacity, calculating the matching area of ​​the supply and consumption curves, and conducting convergence verification based on operating indicators.

[0119] like Figure 4 As shown, the specific steps include:

[0120] Step 2.1: Align the energy supply and consumption curves and set the initial photovoltaic capacity.

[0121] In one specific implementation, the normalized maximum photovoltaic power generation capacity curve constructed using step 1 is shown. and load energy consumption curve As input, the load energy consumption curve and the normalized maximum photovoltaic power generation capacity curve are resampled to a uniform step size. and unified time interval The normalized maximum photovoltaic power generation capacity curve is used to generate potential analysis. Load-energy curves for potential analysis ;

[0122] By iterating through the load-energy consumption curves point by point, the maximum load value can be obtained. The initial photovoltaic capacity is set at half of the maximum load. .

[0123] Step 2.2: Based on the potential analysis, construct the maximum photovoltaic power generation curve using the normalized maximum photovoltaic power generation curve and the initial photovoltaic capacity.

[0124] In one specific implementation, the initial photovoltaic capacity Potential analysis using the normalized maximum photovoltaic power generation curve Substitute into equation (1) to calculate the maximum photovoltaic power generation curve. .

[0125] Step 2.3: Calculate the matching area of ​​the energy supply and consumption curves based on the piecewise integration method.

[0126] In one specific implementation, the matching area refers to the area with the maximum photovoltaic power generation. Photovoltaic power consumption is determined by the relationship between the maximum photovoltaic power generation capacity and the load curve: when the load exceeds the maximum power generation capacity, the photovoltaic system generates power at its maximum capacity, fully utilizing photovoltaic power without curtailment, thus maximizing power generation; when the load is less than the maximum power generation capacity, the excess photovoltaic power needs to be fed back to the grid, but the grid limits the backfeed power or does not allow it at all. In this case, the photovoltaic power generation is less than its capacity, resulting in curtailment. However, generating power along the limit boundary is the maximum possible power generation capacity. Therefore, this embodiment, based on the above principle, first divides the area into intervals according to the relative relationship between the load curve and the maximum output curve, then determines the maximum power generation for each interval based on existing limitations and rules, and finally adds them together to calculate the maximum power generation.

[0127] Specifically, load-energy consumption curves are used for comparative potential analysis. With the maximum power generation capacity curve of photovoltaics Based on the relationship between the magnitudes, find the focal points of the two curves, and use the intersection point as the dividing point for the time interval. Divided into Sub-intervals .

[0128] Within each sub-interval, the actual photovoltaic output is determined according to the reverse power limit given by equation (6). :like ,but .

[0129] like ,but .

[0130] By calculating the integral of the actual photovoltaic output within each sub-interval and summing them up, the corresponding distributed photovoltaic power generation can be obtained as follows:

[0131] (14).

[0132] Will and Substitute into equation (3) to calculate the power discarded. ;Will and Substitute into equation (4) to calculate the curtailment rate. .

[0133] Step 2.4: Perform a convergence test on the calculation results based on the operational metrics.

[0134] In one specific implementation, if This indicates that the photovoltaic capacity is insufficient and therefore... Increase times, that is Return to step 2.2; if This indicates that the photovoltaic capacity is too large. Decrease times, that is Return to step 2.2; if This indicates that the photovoltaic capacity is the maximum value that meets all requirements; at this point, the photovoltaic capacity... and the corresponding distributed photovoltaic power generation This refers to the system's natural absorption capacity.

[0135] Step 3: For rural energy systems with active load regulation capabilities, an optimization model is constructed based on natural absorption capacity and considering the active load regulation effect. The optimal load regulation scheme is obtained by solving the optimization model, and the active absorption capacity of the rural energy system for distributed photovoltaic power is evaluated.

[0136] This embodiment uses the load energy consumption curve As the load energy consumption baseline, the final load energy consumption curve is the load energy consumption baseline combined with the total load regulation power. Therefore, in order to obtain the optimal load regulation strategy, this embodiment constructs an optimization model with the objective function of maximizing photovoltaic power consumption and taking into account constraints such as the load adjustment range and user comfort. The optimal total load regulation power is obtained by iterative solution calculation, which is the optimal load regulation strategy. Based on this, the photovoltaic consumption potential after active load participation is determined.

[0137] It should be noted that in this embodiment, an optimization model is constructed to determine the actual output curve based on the maximum power generation capacity curve. Then, based on the mathematical principles of economic dispatch, the optimization model is transformed into an optimization problem to find the load curve with the largest absorption capacity.

[0138] like Figure 5 As shown, the specific steps include:

[0139] Step 3.1: Investigate and obtain the adjustment boundary of adjustable load.

[0140] In one specific implementation, based on the main parameters of the load equipment obtained in step 1.2.1, the adjustment boundary parameters of the adjustable load are further investigated, specifically including:

[0141] If the load is an electric heating load, the adjustment boundary parameters are the upper and lower limits of the heating power. and Permissible upper and lower limits of water temperature and .

[0142] If the load is an air conditioning load, the adjustment boundary parameters are the upper and lower limits of the cooling power. and Room heat capacity parameters Permissible upper and lower limits of indoor temperature and .

[0143] If the load is an electric-to-gas load, the adjustment boundary parameters are the upper and lower limits of the electric power converted from electricity to gas. and Maximum gas storage capacity of the gas storage tank Maximum and minimum permissible gas storage ratio and .

[0144] If the load is a water heater load, adjust the boundary parameters to the upper and lower limits of the heating power. and Permissible upper and lower limits of water temperature and .

[0145] Step 3.2: Align the energy supply and consumption curves and set the initial photovoltaic capacity.

[0146] In one specific implementation, the normalized maximum photovoltaic power generation capacity curve constructed in step 1 is used. and load energy consumption curve As input, the load energy consumption curve and the normalized maximum photovoltaic power generation capacity curve are resampled to a uniform step size. and unified time interval The normalized maximum photovoltaic power generation capacity curve is used to generate potential analysis. Load-energy curves for potential analysis ;

[0147] By iterating through the load-energy consumption curves point by point, the maximum load value can be obtained. The initial photovoltaic capacity is set at half of the maximum load. .

[0148] Step 3.3: Based on the potential analysis, construct the maximum photovoltaic power generation curve using the normalized maximum photovoltaic power generation curve and the initial photovoltaic capacity.

[0149] In one specific implementation, and Substitute into equation (1) to calculate the maximum photovoltaic power generation curve. .

[0150] Step 3.4: Construct adjustment boundary constraints for various types of equipment by giving them physical characteristics and energy requirements.

[0151] In one specific implementation, if the adjustable device is an electric heating system, the constraints are constructed considering its heating characteristics, upper and lower limits of water temperature, and upper and lower limits of heating power:

[0152] (15).

[0153] If the adjustable equipment is electric heating, the constraints are constructed considering its cooling characteristics, the upper and lower limits of indoor temperature, and the upper and lower limits of cooling power:

[0154] (16).

[0155] In the formula, This refers to the air conditioning temperature setting.

[0156] If the adjustable equipment is an electro-gas converter, the constraints are constructed considering its gas storage characteristics, upper and lower limits of gas storage capacity, and upper and lower limits of electro-gas conversion power:

[0157] (17).

[0158] In the formula, This refers to the gas storage capacity.

[0159] If the adjustable device is a water heater, the constraints are constructed considering its heating characteristics, upper and lower limits of water temperature, and upper and lower limits of heating power:

[0160] (18).

[0161] Step 3.5: Construct grid input power constraints based on the power balance principle and the reverse power demand.

[0162] In one specific implementation, the total load regulation power Adjustable power of electric heating Air conditioner power adjustment Electric-to-gas power adjustment amount and water heater power adjustment The power balance constraints are composed of:

[0163] (19).

[0164] Considering that the reverse power input to the grid should not exceed the requirements of the grid management department, the reverse power constraint is constructed according to equations (5)-(6):

[0165] (20).

[0166] The optimization model constraints set in this embodiment include physical limitations of each adjustable load device, system power balance and grid backfeed power constraints, and the objective function is set as the photovoltaic power generation within the annual cycle.

[0167] Existing technologies typically involve establishing an optimization model to generate load regulation schemes through economic dispatch, and then generating corresponding photovoltaic power generation and curtailment schemes. This application, however, calculates the absorption potential using an optimization model. In an active absorption scenario, absorption potential is the matching of a series of changing curves with the maximum photovoltaic power generation capacity curve. Absorption capacity, on the other hand, involves finding the curve with the highest photovoltaic power generation from all possible curves. This cannot be solved using existing model optimization methods. Therefore, this embodiment transforms the optimization model into an optimization problem to find the load curve with the highest absorption capacity, and then proceeds with subsequent calculations.

[0168] Step 3.6: Construct an objective function with the goal of maximizing annual photovoltaic power generation, and simultaneously establish the adjustment boundary constraints of various equipment and the grid input power constraints to form an optimization model:

[0169] (twenty one).

[0170] Step 3.7: Model and solve the optimization model based on a mature commercial solver.

[0171] In one specific implementation, based on the linear programming characteristics of equation (21), the electric heating power adjustment is obtained by modeling and solving using mature commercial solvers (such as CPLEX and Gurobi). Air conditioner power adjustment Electric-to-gas power adjustment amount Water heater power adjustment Total load regulation power Maximize photovoltaic power generation and actual output of photovoltaic power .

[0172] Step 3.8: Perform convergence checks on the solution results based on operational metrics to obtain the active absorption capacity.

[0173] Step 3.8.1: Determine the optimal photovoltaic capacity based on the comparison between the curtailment rate and the maximum allowable curtailment rate.

[0174] In one specific implementation, the curtailment power is calculated based on the actual power generation curve of distributed photovoltaic (PV) and the maximum power generation capacity curve of PV, and the curtailment rate is calculated based on the curtailment power and the maximum PV power generation. Specifically, the curtailment rate will be calculated as follows: and Substitute into equation (3) to calculate the power discarded. ;Will and Substitute into equation (4) to calculate the curtailment rate. .

[0175] Step 3.8.2: Based on the optimal photovoltaic capacity, the power adjustment amounts for electric heating, air conditioning, electricity-to-gas conversion, and water heater are used to construct the optimal load adjustment scheme.

[0176] In one specific implementation, if This indicates that the photovoltaic capacity is insufficient and therefore... Increase times, that is Return to step 3.3; if This indicates that the photovoltaic capacity is too large. Decrease times, that is Return to step 3.3; if This indicates that the photovoltaic capacity is the maximum value that meets all requirements, at which point the electric heating power adjustment amount... Air conditioner power adjustment Electric-to-gas power adjustment amount and water heater power adjustment This is the optimal load regulation scheme.

[0177] Step 3.8.3: The distributed photovoltaic power generation corresponding to the optimal photovoltaic capacity is the active absorption capacity.

[0178] To verify the effectiveness of the distributed photovoltaic (PV) absorption potential calculation method based on energy supply and demand curve matching quantification described in this embodiment, a rural energy system is used as an example. This region uses distributed PV energy supply, and the load types include general loads such as lighting and television, air conditioning loads, electricity-to-gas loads, and water heater loads. The natural absorption capacity and active absorption potential of this system are calculated based on the method of this patent. The specific process is as follows:

[0179] The target photovoltaic product model for this region was determined to be 182mm (G12) panel. The equipment parameters for this model were obtained, primarily including the power temperature coefficient. =-0.37% / °C, standard solar irradiance corresponding to the product's rated operating conditions and standard temperature 1000W / m 2 25°C; meteorological parameters related to distributed photovoltaic operation in the region were obtained based on the NASA database, mainly including the annual variation curve of ground irradiance. Annual variation curve of ground temperature Substitute meteorological data and equipment parameters into equation (7) to calculate the normalized maximum photovoltaic power generation curve. .

[0180] The analysis records the main load types of the energy system. The load types in this area include general loads such as lighting and television, air conditioning loads, electricity-to-gas loads, and water heater loads.

[0181] Investigate general load parameters, including load capacity. Annual curve of maximum daily load rate Normalized typical load curves for weekdays and holidays in all four seasons Investigate electric heating load parameters, including heating efficiency. Thermal resistance of the hot water storage tank to air and the wall surface in contact with the ground and Supply and return water temperatures and Heat capacity Total mass of water stored User water flow Typical curves of outdoor air temperature and ground temperature and Investigate air conditioning load parameters, including the cooling efficiency of the air conditioning system. Room thermal resistance Outdoor temperature curve Investigate the load parameters for electricity-to-gas conversion, including the high calorific value of natural gas. Conversion efficiency Gas storage tank self-consumption rate Input and output conversion efficiency and Gas consumption Investigate water heater load parameters, including heating efficiency. The thermal resistance of the water heater Inlet and outlet water temperatures and Heat capacity With the total mass of water stored Water quality for users Typical indoor air temperature curve Substitute the above load parameters into equations (8)-(13) to calculate the load energy consumption curve. .

[0182] The load consumption curve and the normalized maximum photovoltaic power generation capacity curve were resampled to a uniform step size of 1 hour and a uniform time interval. This forms a maximum photovoltaic power generation capacity curve for potential analysis. Load-energy curves for potential analysis .

[0183] Set initial photovoltaic capacity ,Will and Substitute into equation (1) to calculate the maximum photovoltaic power generation curve. Assuming the system feeds zero power back to the grid and has a curtailment rate of 10%, calculating the matching area of ​​the supply and demand curves according to step 2.3 and iterating according to step 2.4, we can obtain a photovoltaic capacity that the system can naturally absorb, of which 1.76 MW is obtained, and the annual photovoltaic power generation is 2996.26 MWh. During iteration convergence, local... and like Figure 6 As shown, by Figure 6 It can be seen that under natural absorption conditions, there is a significant misalignment between the photovoltaic output and load curves, especially during the peak photovoltaic period at noon, when the load is insufficient to absorb the load, thus limiting the photovoltaic absorption potential.

[0184] Further research is needed to supplement the adjustment boundary parameters for adjustable loads, while still setting the initial photovoltaic capacity. ,Will and Substitute into equation (1) to calculate the maximum photovoltaic power generation curve. Assuming the system feeds zero power back to the grid and has a curtailment rate of 10%, an optimization model is constructed according to steps 3.4-3.6. The CPLEX solver is used for iterative solving, ultimately yielding a photovoltaic capacity of 2.20MW that the system can actively absorb, and an annual photovoltaic power generation of 3744.09MWh. Local convergence occurs during iteration. and like Figure 7 As shown, by Figure 7 It can be seen that under active load regulation, some loads are shifted from off-peak solar power periods (such as nighttime or morning) to peak solar power output periods (around noon), resulting in a better match with the peak output of solar power. Through active load regulation, the system can increase the solar power absorption potential by about 25% without increasing the curtailment rate.

[0185] Example 2:

[0186] Embodiment 2 of the present invention provides a system for calculating energy absorption potential based on energy supply and consumption characteristic curve matching quantification, comprising:

[0187] The energy supply and consumption curve construction module is configured to acquire load parameters and relevant parameters of the target photovoltaic products in the rural energy system, construct the energy supply and consumption curve of the rural energy system, and determine the load regulation conditions of the rural energy system. The load regulation conditions of the rural energy system include having active load regulation conditions and not having active load regulation conditions.

[0188] The natural absorption capacity assessment module is configured to calculate the maximum photovoltaic capacity of the energy supply and consumption curve based on the matching area of ​​the piecewise integral curve for rural energy systems that do not have the conditions for active load regulation, and assess the natural absorption capacity based on the maximum photovoltaic capacity.

[0189] The active absorption capacity assessment module is configured to construct an optimization model based on natural absorption capacity and considering the active load adjustment effect for rural energy systems with active load adjustment conditions. The optimization model is solved to obtain the best load adjustment scheme and to evaluate the active absorption capacity of rural energy systems for distributed photovoltaic power.

[0190] Example 3:

[0191] Embodiment 3 of the present invention provides a computer-readable storage medium storing a computer program adapted for loading by a processor and executing the steps in the energy consumption potential calculation method based on energy supply and consumption characteristic curve matching quantization as described in Embodiment 1 of the present invention.

[0192] Example 4:

[0193] Embodiment 4 of the present invention provides a computer device, the device comprising:

[0194] A processor, adapted to execute computer programs;

[0195] A computer-readable storage medium storing a computer program, which, when executed by the processor, implements the steps in the energy consumption potential calculation method based on energy supply and consumption characteristic curve matching quantization as described in Embodiment 1 of the present invention.

[0196] The steps and methods involved in Examples 2, 3 and 4 above correspond to those in Example 1. For specific implementation details, please refer to the relevant description section of Example 1.

[0197] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0198] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in or transmitted through a computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means. The computer-readable storage medium can be any available medium that a computer can access or a data processing device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium, an optical medium, or a semiconductor medium, etc.

[0199] 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 calculating the accommodation potential based on the matching quantization of the energy supply and use characteristic curve, characterized in that, Includes the following steps: The process involves acquiring load parameters and relevant parameters of the target photovoltaic (PV) products in the rural energy system, constructing the energy supply and consumption curves of the rural energy system, and determining the load regulation conditions of the rural energy system. These load regulation conditions include those with and without active load regulation. The energy supply and consumption curves of the rural energy system include the normalized maximum PV power generation capacity curve and the load energy consumption curve. A physical model is constructed based on the relationship between the relevant parameters of the target PV products and power generation to obtain the normalized maximum PV power generation capacity curve. The energy consumption curves for various load types are calculated based on the load parameters and fitted to obtain the load energy consumption curve. For rural energy systems lacking active load regulation capabilities, the maximum photovoltaic (PV) capacity of the supply and consumption curve is calculated based on the matching area of ​​the piecewise integral curve, and the natural absorption capacity is assessed based on the maximum PV capacity. The specific steps for calculating the maximum PV capacity of the supply and consumption curve based on the matching area of ​​the piecewise integral curve and assessing the natural absorption capacity based on the maximum PV capacity are as follows: Step 2.1: Align the energy supply and consumption curves and set the initial photovoltaic capacity; Step 2.2: Based on the potential analysis, construct the maximum photovoltaic power generation curve using the normalized maximum photovoltaic power generation curve and the initial photovoltaic capacity; Step 2.3: Calculate the matching area of the supply and demand curves based on the piecewise integral method. Specifically, compare the potential analysis with the load energy consumption curve and the photovoltaic maximum power generation curve , find the focus of the two curves, and divide the time interval into subintervals with the intersection point as the dividing point. Within each sub-interval, the actual PV output is determined according to the reverse power limit : if , then ; If then ; By calculating the integral of the actual photovoltaic output within each sub-interval and summing them up, the corresponding distributed photovoltaic power generation can be obtained as follows: ; Will and Substitution Calculating power abandonment ;Will and Substitute: Calculating the curtailment rate ; in, The rated power of the grid-connected transformer for the energy system. The maximum backfeed rate allowed by the power grid management department. This is the curve showing the maximum power generation capacity of photovoltaic systems. This is the actual power generation curve of distributed photovoltaic power. This is the curve of curtailed power from distributed photovoltaic power. , These represent the total power generation and the amount of abandoned electricity generated by distributed photovoltaic power. , The curtailment rate and maximum allowable curtailment rate for distributed photovoltaic power; Step 2.4: Perform a convergence test on the calculation results based on the operational indicators. If This indicates that the photovoltaic capacity is insufficient and therefore... Increase times, that is Return to step 2.2; if This indicates that the photovoltaic capacity is too large. Decrease times, that is Return to step 2.2; if This indicates that the photovoltaic capacity is the maximum value that meets all requirements; at this point, the photovoltaic capacity... and the corresponding distributed photovoltaic power generation This refers to the system's natural absorption capacity; For rural energy systems with active load regulation capabilities, an optimization model is constructed based on natural absorption capacity and considering the active load regulation effect. The optimal load regulation scheme is obtained by solving the optimization model, and the active absorption capacity of rural energy systems for distributed photovoltaic power is evaluated.

2. The method for calculating absorption potential based on matching and quantifying energy supply and consumption characteristic curves as described in claim 1, characterized in that, Load types include general loads, electric heating loads, air conditioning loads, electric-to-gas loads, and water heater loads.

3. The method for calculating absorption potential based on matching and quantifying energy supply and consumption characteristic curves as described in claim 1, characterized in that, Based on natural absorption capacity, an optimization model is constructed considering the active regulation effect of load. Solving the optimization model yields the optimal load regulation scheme. The specific steps for evaluating the active absorption capacity of rural energy systems for distributed photovoltaic power are as follows: The investigation aims to determine the adjustment boundaries of the adjustable load. Align the energy supply and consumption curves and set the initial photovoltaic capacity; Based on the potential analysis, a maximum photovoltaic power generation curve is constructed using the normalized maximum photovoltaic power generation curve and the initial photovoltaic capacity. Establish adjustment boundary constraints for various types of equipment by considering their physical characteristics and energy requirements; Construct grid input power constraints based on power balance principles and reverse power demand; An objective function is constructed with the goal of maximizing annual photovoltaic power generation, and an optimization model is formed by simultaneously setting the adjustment boundary constraints of various equipment and the grid input power constraints. The optimization model is modeled and solved using a mature commercial solver. The convergence of the solution results is verified based on operational indicators to obtain the active absorption capacity.

4. The method for calculating absorption potential based on matching and quantifying energy supply and consumption characteristic curves as described in claim 1, characterized in that, The specific steps for verifying the convergence of the solution results based on operational indicators to obtain the active absorption capacity are as follows: The optimal photovoltaic capacity is determined based on the comparison between the curtailment rate and the maximum allowable curtailment rate. The optimal load regulation scheme is constructed based on the power adjustment amounts for electric heating, air conditioning, electricity-to-gas conversion, and water heater corresponding to the optimal photovoltaic capacity. The distributed photovoltaic power generation corresponding to the optimal photovoltaic capacity is the active absorption capacity.

5. The method for calculating absorption potential based on matching and quantifying energy supply and consumption characteristic curves as described in claim 4, characterized in that, The curtailment power is calculated based on the actual power generation curve of distributed photovoltaic power and the maximum power generation capacity curve of photovoltaic power. The curtailment rate is then calculated based on the curtailment power and the maximum photovoltaic power generation.

6. A system for calculating absorption potential based on matching and quantifying energy supply and consumption characteristic curves, employing the absorption potential calculation method based on matching and quantifying energy supply and consumption characteristic curves as described in any one of claims 1-5, characterized in that, include: The energy supply and consumption curve construction module is configured to acquire load parameters and relevant parameters of the target photovoltaic products in the rural energy system, construct the energy supply and consumption curve of the rural energy system, and determine the load regulation conditions of the rural energy system. The load regulation conditions of the rural energy system include having active load regulation conditions and not having active load regulation conditions. The natural absorption capacity assessment module is configured to calculate the maximum photovoltaic capacity of the energy supply and consumption curve based on the matching area of ​​the piecewise integral curve for rural energy systems that do not have the conditions for active load regulation, and assess the natural absorption capacity based on the maximum photovoltaic capacity. The active absorption capacity assessment module is configured to construct an optimization model based on natural absorption capacity and considering the active load adjustment effect for rural energy systems with active load adjustment conditions. The optimization model is solved to obtain the best load adjustment scheme and to evaluate the active absorption capacity of rural energy systems for distributed photovoltaic power.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program adapted to be loaded by a processor and executed as described in any one of claims 1-5, the method for calculating absorption potential based on matching quantization of energy supply and consumption characteristic curves.

8. A computer device, characterized in that, include: A processor, adapted to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by the processor, implements the absorption potential calculation method based on energy supply and consumption characteristic curve matching quantization as described in any one of claims 1-5.

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