Multi-energy complementary energy base planning and evaluation method

Abstract

The invention relates to the technical field of energy base design, and provides a multi-energy complementary energy base planning and evaluation method, and the method comprises the steps: obtaining an output curve, an adjustment performance parameter and an economic parameter corresponding to each energy type of an energy base, and a target energy base delivery curve; and determining a target multi-energy complementary energy base scheme and an evaluation result corresponding to the target multi-energy complementary energy base scheme based on a multi-energy complementary energy base planning and evaluation model according to the characteristic parameters of each energy type and the target energy base delivery curve. According to the embodiment of the invention, by constructing the multi-energy complementary energy base planning and evaluation model, the output characteristics and economical efficiency parameters of various energy types and the delivery demand of the target energy base are comprehensively considered, and the refined planning and evaluation of the multi-energy complementary energy base are realized.

Description

Technical Field

[0001] The present disclosure relates to the technical field of energy base design, and more particularly, to a method for planning and evaluating a multi-energy complementary energy base. Background Art

[0002] With the global energy structure transformation and the promotion of low-carbon development, the multi-energy complementary energy system, as a technical means to optimize energy utilization and improve the reliability and stability of energy supply, has been attracting increasing attention. Through the complementary effects of different energy forms, the multi-energy complementary system effectively makes up for the deficiencies of a single energy system in terms of volatility, stability, and supply security, especially in the case of highly unstable and discontinuous renewable energy (such as wind energy, solar energy, etc.), showing significant advantages. However, how to reasonably plan the configuration of multiple energies and reduce the system operation cost and environmental impact has become a key issue in current research.

[0003] In the related art, for the planning and evaluation of multi-energy complementary energy bases, it mainly relies on traditional quantitative analysis models or empirical methods. These methods usually perform the optimal design of a single energy based on the power transmission curves and economic parameters of various energies, and it is difficult to fully consider the mutual complementary effects between multiple energy types. In addition, most of the existing planning and evaluation models focus on single indicators or local optimization, ignoring the overall coordination and long-term economy of the system. Summary of the Invention

[0004] At least one embodiment of the present disclosure provides a method for planning and evaluating a multi-energy complementary energy base. By constructing a planning and evaluation model for a multi-energy complementary energy base, it comprehensively considers the power transmission curves and economic parameters of multiple energy types, as well as the power transmission requirements of the target energy base, and realizes the refined planning and evaluation of the multi-energy complementary energy base.

[0005] An embodiment of the present disclosure provides a method for planning and evaluating a multi-energy complementary energy base, including:

[0006] Obtaining the output curves, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, as well as the power transmission curve of the target energy base;

[0007] Based on the output curves, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, and the power transmission curve of the target energy base, determining the target multi-energy complementary energy base plan and the evaluation results corresponding to the target multi-energy complementary energy base plan based on the planning and evaluation model for the multi-energy complementary energy base.

[0008] In some possible embodiments, the multi - energy complementary energy base planning and evaluation model includes a meta - model and a calculation model; determining a target multi - energy complementary energy base plan and an evaluation result corresponding to the target multi - energy complementary energy base plan based on the multi - energy complementary energy base planning and evaluation model according to the output curves, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, as well as the outgoing curve of the target energy base, includes:

[0009] Inputting the output curves, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, as well as the outgoing curve of the target energy base, into the meta - model; the meta - model determines energy data corresponding to each energy type according to the output curves, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base and the parameter templates corresponding to each energy type, and sends the outgoing curve of the target energy base and the energy data corresponding to each energy type to the calculation model;

[0010] Based on the calculation model, determining a target multi - energy complementary energy base plan and an evaluation result corresponding to the target multi - energy complementary energy base plan according to the outgoing curve of the target energy base and the energy data corresponding to each energy type.

[0011] In some possible embodiments, the energy data includes energy parameters and energy output curves; determining a target multi - energy complementary energy base plan and an evaluation result corresponding to the target multi - energy complementary energy base plan based on the calculation model according to the outgoing curve of the target energy base and the energy data corresponding to each energy type, includes:

[0012] Based on the calculation model, determining multiple multi - energy complementary energy base plans according to the energy parameters corresponding to each energy type; wherein each multi - energy complementary energy base plan includes a combination of parameter settings corresponding to multiple energy types;

[0013] Based on the calculation model, performing simulation calculations on each multi - energy complementary energy base plan according to the energy output curve and the outgoing curve of the target energy base, and obtaining calculation results corresponding to each multi - energy complementary energy base plan;

[0014] Based on the calculation model, determining a target multi - energy complementary energy base plan and an evaluation result corresponding to the target multi - energy complementary energy base plan according to the calculation results corresponding to each multi - energy complementary energy base plan.

[0015] In some possible embodiments, the calculation results include the off - grid curve tracking rate, the curtailment rate, the levelized cost of electricity, and the carbon emissions; based on the calculation model, according to the calculation results corresponding to each multi - energy complementary energy base plan, determining the target multi - energy complementary energy base plan and the evaluation result corresponding to the target multi - energy complementary energy base plan includes:

[0016] Based on the calculation model, performing a first screening on the multiple multi - energy complementary energy base plans according to the off - grid curve tracking rate and the curtailment rate corresponding to each multi - energy complementary energy base plan, and determining multiple multi - energy complementary energy base plans that meet the preset requirements;

[0017] Based on the calculation model, performing a second screening on the multiple multi - energy complementary energy base plans that meet the preset requirements according to the levelized cost of electricity and the carbon emissions corresponding to each multi - energy complementary energy base plan, and determining the target multi - energy complementary energy base plan and the evaluation result corresponding to the target multi - energy complementary energy base plan according to the second - screening result. In some possible embodiments,

[0018] In some possible embodiments, the second - screening result includes multiple first - preliminary multi - energy complementary energy base plans; based on the second - screening result, determining the target multi - energy complementary energy base plan and the evaluation result corresponding to the target multi - energy complementary energy base plan includes:

[0019] Determining the preliminary energy parameters corresponding to each energy based on the multiple first - preliminary multi - energy complementary energy base plans; based on the calculation model, determining multiple second - preliminary multi - energy complementary energy base plans according to the preliminary energy parameters corresponding to each energy;

[0020] Based on the calculation model, performing simulation calculations on each of the second - preliminary multi - energy complementary energy base plans according to the energy output curve and the off - grid curve of the energy base, and obtaining the calculation results corresponding to each second - preliminary multi - energy complementary energy base plan;

[0021] Based on the calculation model, performing a first screening on the multiple second - preliminary multi - energy complementary energy base plans according to the off - grid curve tracking rate and the curtailment rate corresponding to each second - preliminary multi - energy complementary energy base plan, and determining multiple second - preliminary multi - energy complementary energy base plans that meet the preset requirements;

[0022] Based on the calculation model, performing a second screening on the multiple second - preliminary multi - energy complementary energy base plans that meet the preset requirements according to the levelized cost of electricity and the carbon emissions corresponding to each second - preliminary multi - energy complementary energy base plan, and determining the target multi - energy complementary energy base plan according to the second - screening result;

[0023] Evaluating the target multi - energy complementary energy base plan according to the evaluation criteria based on the calculation model, and obtaining the evaluation result corresponding to the target multi - energy complementary energy base plan.

[0024] In some possible embodiments, the evaluation criteria include a low - carbon and clean index, a safety and stability index, a planning economy index, and a planning operation balance index.

[0025] In some possible embodiments, the energy types include wind, light, fire, storage, water, and hydrogen.

[0026] The embodiments of the present disclosure provide a multi - energy complementary energy base planning and evaluation device, including:

[0027] A data acquisition module, configured to acquire the output curve, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, as well as the outgoing curve of the target energy base;

[0028] A plan determination module, configured to determine the target multi - energy complementary energy base plan and the evaluation result corresponding to the target multi - energy complementary energy base plan based on the multi - energy complementary energy base planning and evaluation model according to the output curve, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, as well as the outgoing curve of the target energy base.

[0029] In some possible embodiments, the multi - energy complementary energy base planning and evaluation model includes a meta - model and a calculation model; the plan determination module is specifically configured to:

[0030] Input the output curve, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, as well as the outgoing curve of the target energy base into the meta - model; the meta - model determines the energy data corresponding to each energy type according to the output curve, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base and the parameter template corresponding to each energy type, and sends the outgoing curve of the target energy base and the energy data corresponding to each energy type to the calculation model;

[0031] Based on the calculation model, determine the target multi - energy complementary energy base plan and the evaluation result corresponding to the target multi - energy complementary energy base plan according to the outgoing curve of the target energy base and the energy data corresponding to each energy type.

[0032] In some possible embodiments, the energy data includes energy parameters and an energy output curve; the plan determination module is specifically configured to:

[0033] Determine a plurality of multi - energy complementary energy base plans based on the energy parameters corresponding to each of the energy types according to the calculation model; wherein, each multi - energy complementary energy base plan includes a combination of parameter settings corresponding to a plurality of energy types;

[0034] Based on the calculation model, perform simulation calculations on each multi - energy complementary energy base plan according to the energy output curve and the target energy base power transmission curve respectively, and obtain calculation results corresponding to each multi - energy complementary energy base plan;

[0035] Based on the calculation model, determine the target multi - energy complementary energy base plan and the evaluation result corresponding to the target multi - energy complementary energy base plan according to the calculation results corresponding to each multi - energy complementary energy base plan.

[0036] In some possible embodiments, the calculation results include the power transmission curve tracking rate, the curtailment rate, the levelized cost of electricity, and the carbon emissions; the plan determination module is specifically configured to:

[0037] Based on the calculation model, perform a first screening on the plurality of multi - energy complementary energy base plans according to the power transmission curve tracking rate and the curtailment rate corresponding to each multi - energy complementary energy base plan, and determine a plurality of multi - energy complementary energy base plans that meet the preset requirements;

[0038] Based on the calculation model, perform a second screening on the plurality of multi - energy complementary energy base plans that meet the preset requirements according to the levelized cost of electricity and the carbon emissions corresponding to each multi - energy complementary energy base plan, and determine the target multi - energy complementary energy base plan and the evaluation result corresponding to the target multi - energy complementary energy base plan based on the second screening result.

[0039] In some possible embodiments, the second screening result includes a plurality of first preliminary multi - energy complementary energy base plans; the plan determination module is specifically configured to:

[0040] Determine the preliminary energy parameters corresponding to each energy based on the plurality of first preliminary multi - energy complementary energy base plans; determine a plurality of second preliminary multi - energy complementary energy base plans based on the preliminary energy parameters corresponding to each energy according to the calculation model;

[0041] Based on the calculation model, perform simulation calculations on each second preliminary multi - energy complementary energy base plan according to the energy output curve and the energy base power transmission curve respectively, and obtain calculation results corresponding to each second preliminary multi - energy complementary energy base plan;

[0042] Based on the calculation model, perform a first screening on the multiple second-prepared multi-energy complementary energy base plans according to the power transmission curve tracking rate and the curtailment rate corresponding to each second-prepared multi-energy complementary energy base plan, and determine multiple second-prepared multi-energy complementary energy base plans that meet the preset requirements;

[0043] Based on the calculation model, perform a second screening on the multiple second-prepared multi-energy complementary energy base plans that meet the preset requirements according to the levelized cost of electricity and carbon emissions corresponding to each second-prepared multi-energy complementary energy base plan, and determine the target multi-energy complementary energy base plan based on the second screening result;

[0044] Based on the calculation model, evaluate the target multi-energy complementary energy base plan according to the evaluation criteria, and obtain the evaluation result corresponding to the target multi-energy complementary energy base plan.

[0045] In some possible embodiments, the evaluation criteria include low-carbon clean index, safety and stability index, planning economy index, and planning operation balance index.

[0046] In some possible embodiments, the energy types include wind, light, fire, storage, water, and hydrogen.

[0047] An embodiment of the present disclosure provides a computer device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the computer device runs, the processor communicates with the memory through the bus. When the machine-readable instructions are executed by the processor, the multi-energy complementary energy base planning and evaluation method described in any of the above possible implementation manners is executed.

[0048] An embodiment of the present disclosure provides a computer-readable storage medium, on which a computer program is stored. When the computer program is run by a processor, the multi-energy complementary energy base planning and evaluation method described in any of the above possible implementation manners is implemented.

[0049] In the multi-energy complementary energy base planning and evaluation method provided by the embodiments of the present disclosure, by constructing a multi-energy complementary energy base planning and evaluation model, the power transmission curves and economic parameters of multiple energy types, as well as the power transmission requirements of the target energy base, are comprehensively considered, realizing the refined planning and evaluation of the multi-energy complementary energy base. At the same time, the multi-energy complementary energy base planning and evaluation model proposed in this solution can effectively capture the complementary effects between multiple energy types, comprehensively consider the overall coordination and long-term economy of the system, thereby reducing the system operation cost and improving the reliability and stability of energy supply.

[0050] To make the above objects, features, and advantages of the present disclosure more apparent and understandable, the following provides preferred embodiments in conjunction with the accompanying drawings and detailed descriptions are as follows. Brief Description of the Drawings

[0051] To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the accompanying drawings required to be cited in the embodiments will be briefly introduced below. These accompanying drawings are incorporated into the specification and constitute a part of this specification. These drawings illustrate embodiments that conform to the present disclosure and, together with the specification, are used to explain the technical solutions of the present disclosure. It should be understood that the following accompanying drawings only illustrate certain embodiments of the present disclosure and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other relevant drawings can also be obtained based on these drawings.

[0052] Figure 1 Shows a flowchart of a method for planning and evaluating a multi - energy complementary energy base provided by an embodiment of the present disclosure;

[0053] Figure 2 Shows a flowchart of a method for determining a target multi - energy complementary energy base plan based on a calculation model provided by an embodiment of the present disclosure;

[0054] Figure 3 Shows a flowchart of another method for determining a target multi - energy complementary energy base plan based on a calculation model provided by an embodiment of the present disclosure;

[0055] Figure 4 Shows a schematic structural diagram of a multi - energy complementary energy base planning and evaluation device provided by an embodiment of the present disclosure;

[0056] Figure 5 Shows a schematic structural diagram of a computer device provided by an embodiment of the present disclosure. Detailed Description of the Embodiments

[0057] To make the objectives, technical solutions, and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only some embodiments of the present disclosure, rather than all embodiments. Usually, the components of the embodiments of the present disclosure described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the present disclosure to be protected, but only represents the selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present disclosure.

[0058] It should be noted that like reference numerals and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0059] As used herein, the term "and / or" merely describes an association relationship and indicates that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, or B exists alone. In addition, the term "at least one" as used herein means any one of a plurality or any combination of at least two of a plurality. For example, including at least one of A, B, and C may represent including any one or more elements selected from the set consisting of A, B, and C.

[0060] To facilitate the understanding of this embodiment, the execution subject of the multi-energy complementary energy base planning and evaluation method provided by the embodiments of the present disclosure will be introduced in detail first. The execution subject of the multi-energy complementary energy base planning and evaluation method provided by the embodiments of the present disclosure is a computer device. The computer device may be a server. Among them, the server may be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud storage, big data, and artificial intelligence platforms.

[0061] The following will describe in detail the multi-energy complementary energy base planning and evaluation method provided by the embodiments of the present application with reference to the accompanying drawings. Refer to Figure 1 As shown, it is a flowchart of a multi-energy complementary energy base planning and evaluation method provided by an embodiment of the present disclosure. The method includes the following S101 to S102:

[0062] S101, obtain the output curve, regulation performance parameter, and economic parameter corresponding to each energy type of the energy base, as well as the outgoing curve of the target energy base.

[0063] It can be understood that the energy types may include, but are not limited to, wind, light, fire, storage, water, and hydrogen, etc.; each energy type corresponds to an output curve and a regulation performance parameter. The output curve and the regulation performance parameter are an energy output mode compiled according to the characteristics of the energy itself, which reflects the energy output that different energy types can provide within a specific time period. The output curve is formulated based on the characteristics of each energy category. The outgoing curve of the target energy base refers to the final energy output mode under the coordinated action of various energies expected in the planning. This curve reflects the energy outgoing capacity that the planned target energy base should achieve within a specific time period. The outgoing curve of the target energy base is usually set by the energy demand side or the system dispatching side, aiming to ensure that the target base can provide stable energy supply and meet the volatility of regional energy demand, especially the performance under peak load or valley load conditions.

[0064] Specifically, the economic parameters of the energy base cover a number of economic indicators closely related to the development, construction, and operation of each type of energy, mainly including basic economic factors such as initial investment, operating costs, maintenance costs, and subsidy policies. The initial investment refers to the funds required for building the energy base, the operating costs are the expenses for daily operation, and the maintenance costs are the costs for inspections and equipment replacements needed to ensure the normal operation of the energy base; the subsidy policy is the financial support provided by the government to promote the development of specific energy sources. In addition, each type of energy also involves its own unique economic parameters, such as production efficiency, conversion efficiency, and market acceptance, etc. These factors will affect the economy of the energy base. The economic parameters of the energy base can also include the unit price of energy, which is a key factor in the economic parameters, reflecting the market value of the energy and being crucial for the profitability and market competitiveness of the base. At the same time, the differences in operation and maintenance costs among different energy types are also an important part of the economy. For example, the operation and maintenance costs of renewable energy sources such as wind energy and solar energy are relatively low, while those of traditional energy sources such as thermal power generation are relatively high. Finally, the regulation ability of energy also needs to be considered, especially for energy types with regulation ability such as energy storage, which can provide additional power supply during demand fluctuations, thereby enhancing the stability and reliability of the system.

[0065] S102. Based on the output curves, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, as well as the power transmission curve of the target energy base, determine the target multi-energy complementary energy base plan and the evaluation results corresponding to the target multi-energy complementary energy base plan based on the multi-energy complementary energy base planning and evaluation model.

[0066] Here, multi-energy complementarity refers to combining different energy forms (such as wind energy, light energy, thermal energy, etc.) to make up for problems such as intermittency and volatility that exist when each is used alone. For example, the outputs of light energy and wind energy usually do not reach their maximum values simultaneously, while thermal energy or energy storage can provide a stable power output in the absence of light energy and wind energy. By reasonably dispatching these energies, the stability and economy of the energy system can be greatly improved.

[0067] It can be understood that the main task of the multi-energy complementary energy base planning and evaluation model is to comprehensively consider the power transmission curves, economic parameters of each type of energy, and the power transmission curve of the target base, optimize the energy configuration, and determine the best multi-energy complementary energy base plan. The multi-energy complementary energy base planning and evaluation model includes a meta-model and a calculation model. The meta-model is mainly responsible for receiving the output curves, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, as well as the power transmission curve of the target energy base; the calculation model is mainly responsible for performing scenario simulation calculations and scenario evaluations based on the data provided by the meta-model to obtain the target multi-energy complementary energy base plan and the evaluation results corresponding to the target multi-energy complementary energy base plan.

[0068] Specifically, after obtaining the output curves, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, as well as the transmission curve of the target energy base, they need to be input into the meta-model. Among them, the meta-model includes parameter templates corresponding to each energy type. The parameter templates can include data item descriptions, units, basic data type descriptions, and vector data type descriptions to ensure the accuracy and consistency of the data. The meta-model can determine the energy data corresponding to each energy type according to the output curves, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base and the parameter templates corresponding to each energy type, and send the transmission curve of the target energy base and the energy data corresponding to each energy type to the calculation model. Here, the energy data includes energy parameters and energy output curves. The energy parameters specifically include economic indicators such as the installed capacity, operating cost, maintenance cost, and fuel consumption rate corresponding to each energy type, which reflect the economy and operating efficiency of each energy type. The energy output curve refers to the change in the actual power generation or energy output of each energy corresponding to different times or different working conditions.

[0069] In some other embodiments, the specific forms of inputting the output curves, regulation performance parameters, and economic parameters corresponding to each energy type of the energy base, as well as the transmission curve of the target energy base into the meta-model can include direct input, reading tables, or importing from other software, which are not specifically limited herein.

[0070] Specifically, referring to Figure 2 As shown, after the meta-model sends the transmission curve of the target energy base and the energy data corresponding to each energy type to the calculation model, the steps of determining the target multi-energy complementary energy base plan and the evaluation result corresponding to the target multi-energy complementary energy base plan based on the calculation model can include the following S201 - S203:

[0071] S201, based on the calculation model, determine multiple multi-energy complementary energy base plans according to the energy parameters corresponding to each energy type.

[0072] It can be understood that after the calculation model receives the transmission curve of the target energy base and the energy data corresponding to each energy type transmitted from the meta-model, the calculation model combines various possible multi-energy complementary energy base plans according to the energy parameters corresponding to each energy type. Each plan represents a specific combination of energy types and its parameter settings.

[0073] S202, based on the calculation model, perform simulation calculations on each multi-energy complementary energy base plan according to the energy output curve and the transmission curve of the target energy base, and obtain the calculation results corresponding to each multi-energy complementary energy base plan.

[0074] Specifically, after determining multiple candidate solutions (i.e., multi-energy complementary energy base solutions), the calculation model further performs simulation calculations using the energy output curve (representing the power generation capacity of various energy types over time) and the external power transmission curve of the target energy base (representing the plan for the energy base to transmit electricity to the external power grid). Here, it aims to simulate the performance of each solution in actual operation, including energy production volume, external power transmission volume, energy fluctuation conditions, etc., so as to obtain the calculation results corresponding to each solution. Among them, the calculation results may include the external power transmission curve tracking rate, curtailment rate, levelized cost of electricity, carbon emissions, power generation volume of each energy, utilization hours, etc.

[0075] S203. Based on the calculation model, determine the target multi-energy complementary energy base solution and the evaluation result corresponding to the target multi-energy complementary energy base solution according to the calculation results corresponding to each multi-energy complementary energy base solution.

[0076] Specifically, to ensure that the obtained target multi-energy complementary energy base solution is the optimal solution, the present disclosure proposes that after obtaining the calculation results corresponding to each multi-energy complementary energy base solution, screen each calculation result, which specifically includes the following steps (1) to (2):

[0077] (1) Based on the calculation model, perform a first screening on the multiple multi-energy complementary energy base solutions according to the external power transmission curve tracking rate and the curtailment rate corresponding to each multi-energy complementary energy base solution, and determine multiple multi-energy complementary energy base solutions that meet the preset requirements;

[0078] (2) Based on the calculation model, perform a second screening on the multiple multi-energy complementary energy base solutions that meet the preset requirements according to the levelized cost of electricity and carbon emissions corresponding to each multi-energy complementary energy base solution, and determine the target multi-energy complementary energy base solution and the evaluation result corresponding to the target multi-energy complementary energy base solution based on the second screening result.

[0079] It can be understood that in the selection of a multi-energy complementary energy base, the external power transmission curve tracking rate and the curtailment rate are important indicators for measuring the operation efficiency and energy utilization level of the base. The external power transmission curve tracking rate reflects the stability and controllability of the power output of the energy base, that is, the matching degree between the power output and the expected demand curve; the curtailment rate represents the degree of power waste caused by the inability of the system load to fully absorb. These two indicators are directly related to the economy and sustainability of the power system. Therefore, it is necessary to perform an initial screening (i.e., the first screening) on the calculation results based on these indicators.

[0080] Specifically, through the calculation model, first evaluate the transmission curve tracking rate and curtailment rate of each candidate multi - energy complementary energy base. If the transmission curve tracking rate of some base plans is low or the curtailment rate is high, this may indicate that there are significant energy wastes or scheduling difficulties during the operation of the plan, resulting in unstable or uneconomical power supply. Therefore, only the base plans that can meet the preset requirements, that is, have a high transmission curve tracking rate and a low curtailment rate, can be candidates for the target multi - energy complementary energy base plan. In this way, through the first screening of the calculation results, multi - energy complementary energy base plans with poor performance in basic operation efficiency can be excluded to ensure that the selected base plans can meet the basic requirements in terms of stability and resource utilization rate.

[0081] Exemplarily, after completing the initial screening (i.e., the first screening), the remaining base plans will be further evaluated through two indicators: the levelized cost of electricity (LCOE) and carbon emissions. The levelized cost of electricity represents the average production cost per unit of electricity, considering the initial investment, operation and maintenance costs, and the economic benefits of energy production. Carbon emissions reflect the impact of the base plan on the environment during operation. Low - carbon emissions are an increasingly important goal in the modern energy system, especially in the context of global carbon emissions control. Specifically, the calculation model evaluates according to the levelized cost of electricity and carbon emissions of each plan, and through comparison with the preset standards, selects those plans that perform relatively ideally in terms of economy and environmental protection, that is, the second screening results (including multiple first - preparatory multi - energy complementary energy base plans). In this way, those plans that can meet the basic stability requirements but perform poorly in terms of economy or environmental protection will be excluded, ensuring that the target multi - energy complementary energy base plan is not only technically feasible but also in a preferred state in terms of cost - effectiveness and environmental sustainability.

[0082] It can be understood that since the second screening results include multiple first - preparatory multi - energy complementary energy base plans, and these plans may not be able to accurately determine the setting values of each energy due to the overly large selected energy parameter step size. For example, if the step size is set too large when selecting energy parameters (such as wind power, solar power, energy storage capacity, etc.), some potential optimization plans may be missed, or the calculated energy output and economic evaluation may not be accurate enough. Therefore, as shown in Figure 3 In order to improve the accuracy and feasibility of the plan, the following steps S301 - S305 can be included:

[0083] S301, determine the preparatory energy parameters corresponding to each energy based on the multiple first - preparatory multi - energy complementary energy base plans; determine multiple second - preparatory multi - energy complementary energy base plans based on the calculation model according to the preparatory energy parameters corresponding to each energy.

[0084] Specifically, for each first preliminary multi-energy complementary energy base plan, determine the preliminary energy parameters corresponding to various types of energy (such as wind energy, light energy, energy storage, etc.). Subsequently, using the calculation model and combining these refined preliminary energy parameters, generate multiple second preliminary multi-energy complementary energy base plans. Compared with the first preliminary multi-energy complementary energy base plan, the second preliminary multi-energy complementary energy base plan adopts a smaller step size in the set values of various types of energy. In this way, when determining the optimal configuration, the impact of different parameter combinations on the performance of the energy base can be explored more accurately.

[0085] S302, based on the calculation model, respectively perform simulation calculations on each of the second preliminary multi-energy complementary energy base plans according to the energy output curve and the energy base power transmission curve, and obtain the calculation results corresponding to each second preliminary multi-energy complementary energy base plan.

[0086] Here, the principle of solving the problem in step S302 is similar to the method of step S202 in the above embodiments of the present disclosure, except that the implementation object is different. Therefore, the implementation of step S202 can be specifically referred to, and the repeated parts will not be elaborated.

[0087] S303, based on the calculation model, perform a first screening on the multiple second preliminary multi-energy complementary energy base plans according to the power transmission curve tracking rate and the curtailment rate corresponding to each second preliminary multi-energy complementary energy base plan, and determine multiple second preliminary multi-energy complementary energy base plans that meet the preset requirements.

[0088] Here, the principle of solving the problem in step S303 is similar to the method of step S203 in the above embodiments of the present disclosure, except that the implementation object is different. Therefore, the implementation of step S203 can be specifically referred to, and the repeated parts will not be elaborated.

[0089] S304, based on the calculation model, perform a second screening on the multiple second preliminary multi-energy complementary energy base plans that meet the preset requirements according to the levelized cost of electricity and the carbon emissions corresponding to each second preliminary multi-energy complementary energy base plan, and determine the target multi-energy complementary energy base plan based on the second screening result.

[0090] Here, the principle of solving the problem in step S304 is similar to the method of step S203 in the above embodiments of the present disclosure, except that the implementation object is different. Therefore, the implementation of step S203 can be specifically referred to, and the repeated parts will not be elaborated.

[0091] S305, based on the calculation model, evaluate the target multi-energy complementary energy base plan according to the evaluation criteria, and obtain the evaluation result corresponding to the target multi-energy complementary energy base plan.

[0092] It can be understood that the target multi - energy complementary energy base plan obtained based on the second screening result can be multiple multi - energy complementary energy base plans. Then, regarding the evaluation of the plan, a calculation model can be used to evaluate the target multi - energy complementary energy base plan according to the evaluation criteria, and an evaluation result corresponding to the target multi - energy complementary energy base plan can be obtained. In this way, through the calculation model and the evaluation criteria, it can be ensured that the selected plan not only meets the requirements of technical feasibility, but also its performance in multiple dimensions such as economy, environmental friendliness, safety, and operation stability can be known. Among them, the evaluation criteria include low - carbon clean indicators, safety and stability indicators, planning economy indicators, and planning operation balance indicators.

[0093] Specifically, the low - carbon clean indicator measures the ability of the plan to reduce greenhouse gas emissions and pollutant generation, and it reflects the contribution of the energy base to promoting green development and addressing climate change. The safety and stability indicator focuses on the energy base's ability to prevent and control safety risks during construction and operation, including equipment reliability, system stability, and the emergency response mechanism for dealing with emergencies. The planning economy indicator starts from the perspective of cost - benefit analysis and examines the overall cost - efficiency of the plan in aspects such as investment, operation, and maintenance. This requires the plan to not only consider the investment cost in the initial construction stage, but also take into account the energy consumption, maintenance costs, and possible economic benefits during the long - term operation process to ensure the economic feasibility of the construction and operation of the multi - energy complementary energy base. The planning operation balance indicator aims to evaluate the plan's ability in aspects such as energy supply - demand matching, system dispatching flexibility, and resource optimization allocation.

[0094] In the multi - energy complementary energy base planning and evaluation method provided in the embodiments of the present disclosure, by constructing a multi - energy complementary energy base planning and evaluation model, the external transmission curves and economic parameters of multiple energy types, as well as the external transmission requirements of the target energy base, are comprehensively considered, realizing the refined planning and evaluation of the multi - energy complementary energy base. At the same time, the multi - energy complementary energy base planning and evaluation model proposed in this solution can effectively capture the complementary effects between multiple energy types, comprehensively consider the overall coordination and long - term economy of the system, thereby reducing the system operation cost and improving the reliability and stability of energy supply.

[0095] Those skilled in the art can understand that in the above - mentioned method of the specific implementation manner, the writing order of each step does not mean a strict execution order that constitutes any limitation to the implementation process, and the specific execution order of each step should be determined by its function and possible internal logic.

[0096] Based on the same inventive concept, an embodiment of the present disclosure also provides a multi - energy complementary energy base planning and evaluation device corresponding to the multi - energy complementary energy base planning and evaluation method. Since the principle of problem - solving of the device in the embodiment of the present disclosure is similar to that of the above - mentioned multi - energy complementary energy base planning and evaluation method in the embodiment of the present disclosure, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be elaborated.

[0097] Referring Figure 4 As shown, it is a schematic diagram of a multi - energy complementary energy base planning and evaluation device 400 provided by an embodiment of the present disclosure. The device includes:

[0098] A data acquisition module 401, configured to acquire an output curve, a regulation performance parameter, and an economic parameter corresponding to each energy type of the energy base, as well as an outgoing curve of the target energy base;

[0099] A scheme determination module 402, configured to determine a target multi - energy complementary energy base scheme and an evaluation result corresponding to the target multi - energy complementary energy base scheme based on a multi - energy complementary energy base planning and evaluation model according to the output curve, the regulation performance parameter, and the economic parameter corresponding to each energy type of the energy base, and the outgoing curve of the target energy base.

[0100] In some possible embodiments, the multi - energy complementary energy base planning and evaluation model includes a meta - model and a calculation model; specifically, the scheme determination module 402 is configured to:

[0101] Input the output curve, the regulation performance parameter, and the economic parameter corresponding to each energy type of the energy base, and the outgoing curve of the target energy base into the meta - model; the meta - model determines energy data corresponding to each energy type according to the output curve, the regulation performance parameter, and the economic parameter corresponding to each energy type of the energy base and a parameter template corresponding to each energy type, and sends the outgoing curve of the target energy base and the energy data corresponding to each energy type to the calculation model;

[0102] Based on the calculation model, determine a target multi - energy complementary energy base scheme and an evaluation result corresponding to the target multi - energy complementary energy base scheme according to the outgoing curve of the target energy base and the energy data corresponding to each energy type.

[0103] In some possible embodiments, the energy data includes an energy parameter and an energy output curve; specifically, the scheme determination module 402 is configured to:

[0104] Determine multiple multi - energy complementary energy base plans based on the energy parameters corresponding to each of the energy types according to the calculation model; wherein, each multi - energy complementary energy base plan includes a combination of parameter settings corresponding to multiple energy types.

[0105] Based on the calculation model, perform simulation calculations on each multi - energy complementary energy base plan according to the energy output curve and the target energy base power transmission curve respectively, and obtain the calculation results corresponding to each multi - energy complementary energy base plan.

[0106] Based on the calculation model, determine the target multi - energy complementary energy base plan and the evaluation result corresponding to the target multi - energy complementary energy base plan according to the calculation results corresponding to each multi - energy complementary energy base plan.

[0107] In some possible embodiments, the calculation results include the power transmission curve tracking rate, the power curtailment rate, the levelized cost of electricity, and the carbon emissions; the plan determination module 402 is specifically configured to:

[0108] Based on the calculation model, perform a first screening on the multiple multi - energy complementary energy base plans according to the power transmission curve tracking rate and the power curtailment rate corresponding to each multi - energy complementary energy base plan, and determine multiple multi - energy complementary energy base plans that meet the preset requirements.

[0109] Based on the calculation model, perform a second screening on the multiple multi - energy complementary energy base plans that meet the preset requirements according to the levelized cost of electricity and the carbon emissions corresponding to each multi - energy complementary energy base plan, and determine the target multi - energy complementary energy base plan and the evaluation result corresponding to the target multi - energy complementary energy base plan based on the second screening result.

[0110] In some possible embodiments, the second screening result includes multiple first preliminary multi - energy complementary energy base plans; the plan determination module 402 is specifically configured to:

[0111] Determine the preliminary energy parameters corresponding to each energy based on the multiple first preliminary multi - energy complementary energy base plans; based on the calculation model, determine multiple second preliminary multi - energy complementary energy base plans according to the preliminary energy parameters corresponding to each energy.

[0112] Based on the calculation model, perform simulation calculations on each second preliminary multi - energy complementary energy base plan according to the energy output curve and the energy base power transmission curve respectively, and obtain the calculation results corresponding to each second preliminary multi - energy complementary energy base plan.

[0113] Based on the calculation model, perform a first screening on the multiple second-prepared multi-energy complementary energy base plans according to the power transmission curve tracking rate and the curtailment rate corresponding to each second-prepared multi-energy complementary energy base plan, and determine multiple second-prepared multi-energy complementary energy base plans that meet the preset requirements;

[0114] Based on the calculation model, perform a second screening on the multiple second-prepared multi-energy complementary energy base plans that meet the preset requirements according to the levelized cost of electricity and carbon emissions corresponding to each second-prepared multi-energy complementary energy base plan, and determine the target multi-energy complementary energy base plan based on the second screening result;

[0115] Based on the calculation model, evaluate the target multi-energy complementary energy base plan according to the evaluation criteria to obtain the evaluation result corresponding to the target multi-energy complementary energy base plan.

[0116] In some possible embodiments, the evaluation criteria include low-carbon clean indicators, safety and stability indicators, planning economy indicators, and planning operation balance indicators.

[0117] In some possible embodiments, the energy types include wind, light, fire, storage, water, and hydrogen.

[0118] Based on the same inventive concept, the embodiments of the present disclosure also provide a computer device. Refer to Figure 5 As shown, it is a schematic structural diagram of a computer device 500 provided by the embodiments of the present disclosure, including a processor 501, a memory 502, and a bus 503. Among them, the memory 502 is used to store execution instructions, including an internal memory 5021 and an external memory 5022; the internal memory 5021 here is also called the main memory, which is used to temporarily store the operation data in the processor 501 and the data exchanged with the external memory 5022 such as a hard disk, and the processor 501 exchanges data with the external memory 5022 through the internal memory 5021.

[0119] In the embodiments of the present application, the memory 502 is specifically used to store the application program code for executing the solution of the present application, and is controlled by the processor 501 to execute. That is, when the computer device 500 runs, the processor 501 communicates with the memory 502 through the bus 503, so that the processor 501 executes the application program code stored in the memory 502, and further executes the method described in any of the foregoing embodiments.

[0120] Among them, the memory 502 can be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electric Erasable Programmable Read-Only Memory (EEPROM), etc.

[0121] The processor 501 may be an integrated circuit chip with signal processing capabilities. The above-mentioned processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0122] It can be understood that the structure schematically shown in the embodiments of the present application does not constitute a specific limitation on the computer device 500. In other embodiments of the present application, the computer device 500 may include more or fewer components than shown in the figure, or combine certain components, or split certain components, or have different component arrangements. The components shown in the figure can be implemented in hardware, software, or a combination of software and hardware.

[0123] The embodiments of the present disclosure also provide a computer-readable storage medium, on which a computer program is stored. When the computer program is run by a processor, it executes the steps of the multi-energy complementary energy base planning and evaluation method described in the above method embodiments. Among them, the storage medium can be a volatile or non-volatile computer-readable storage medium.

[0124] Embodiments of the present disclosure also provide a computer program product. The computer program product carries program codes, and the instructions included in the program codes can be used to execute the steps of the multi-energy complementary energy base planning and evaluation method described in the above method embodiments. For details, reference can be made to the above method embodiments and will not be elaborated here.

[0125] Among them, the above computer program product can be specifically implemented in the form of hardware, software, or a combination thereof. In an alternative embodiment, the computer program product is specifically embodied as a computer storage medium. In another alternative embodiment, the computer program product is specifically embodied as a software product, such as a Software Development Kit (SDK), etc.

[0126] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems and devices described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here. In several embodiments provided by the present disclosure, it should be understood that the disclosed systems and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some communication interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0127] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0128] In addition, in each embodiment of the present disclosure, the functional units can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0129] When the above-mentioned functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present disclosure, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present disclosure. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs that can store program codes.

[0130] Finally, it should be noted that the above-mentioned embodiments are only specific implementation manners of the present disclosure, used to illustrate the technical solutions of the present disclosure, rather than limiting them. The protection scope of the present disclosure is not limited thereto. Although the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: any person skilled in the art within the technical scope disclosed by the present disclosure can still modify the technical solutions recorded in the foregoing embodiments, or can easily think of changes, or perform equivalent replacements on some of the technical features; and these modifications, changes, or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should all be covered by the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be subject to the protection scope of the claims.

Claims

1. A multi-energy complementary energy base planning and evaluation method, characterized in that: include: Obtain the output curve, regulation performance parameters and economic parameters corresponding to each energy type of the energy base, as well as the target energy base delivery curve; According to the output curve, regulation performance parameters and economic parameters corresponding to each energy type of the energy base, as well as the target energy base delivery curve, the target multi-energy complementary energy base plan and the evaluation results corresponding to the target multi-energy complementary energy base plan are determined based on the multi-energy complementary energy base planning and evaluation model.

2. The method according to claim 1, characterized in that: The multi-energy complementary energy base planning and evaluation model includes a meta-model and a calculation model; the target multi-energy complementary energy base scheme and the evaluation result corresponding to the target multi-energy complementary energy base scheme are determined based on the multi-energy complementary energy base planning and evaluation model according to the output curve corresponding to each energy type of the energy base, the adjustment performance parameter and the economic parameter, and the target energy base delivery curve, including: The output curve, adjustment performance parameters and economic parameters corresponding to each energy type of the energy base, and the target energy base delivery curve are input into the meta-model; the meta-model determines the energy data corresponding to each energy type according to the output curve, adjustment performance parameters and economic parameters corresponding to each energy type of the energy base and the parameter template corresponding to each energy type, and sends the target energy base delivery curve and the energy data corresponding to each energy type to the calculation model; Based on the calculation model, according to the target energy base transmission curve and the energy data corresponding to each energy type, a target multi-energy complementary energy base plan and an evaluation result corresponding to the target multi-energy complementary energy base plan are determined.

3. The method according to claim 2, characterized in that The energy data includes energy parameters and energy output curves; the target multi-energy complementary energy base scheme and the evaluation results corresponding to the target multi-energy complementary energy base scheme are determined based on the calculation model according to the target energy base delivery curve and the energy data corresponding to each energy type, including: Determine a plurality of multi-energy complementary energy base plans based on the calculation model and the energy parameters corresponding to each of the energy types; wherein each multi-energy complementary energy base plan includes a parameter setting combination corresponding to a plurality of energy types; Based on the calculation model, simulation calculations are performed on each multi-energy complementary energy base scheme according to the energy output curve and the target energy base delivery curve to obtain calculation results corresponding to each multi-energy complementary energy base scheme; Based on the calculation model and according to the calculation results corresponding to each multi-energy complementary energy base scheme, a target multi-energy complementary energy base scheme and an evaluation result corresponding to the target multi-energy complementary energy base scheme are determined.

4. The method according to claim 3, characterized in that: The calculation results include the transmission curve tracking rate, the power abandonment rate, the levelized cost of electricity and the carbon emissions; the target multi-energy complementary energy base scheme and the evaluation results corresponding to the target multi-energy complementary energy base scheme are determined based on the calculation model according to the calculation results corresponding to each multi-energy complementary energy base scheme, including: Based on the calculation model, the plurality of multi-energy complementary energy base schemes are first screened according to the transmission curve tracking rate and the power abandonment rate corresponding to each multi-energy complementary energy base scheme, to determine a plurality of multi-energy complementary energy base schemes that meet preset requirements; Based on the calculation model, a second screening is performed on the multiple multi-energy complementary energy base schemes that meet the preset requirements according to the levelized cost of electricity and carbon emissions corresponding to each multi-energy complementary energy base scheme, and the target multi-energy complementary energy base scheme and the evaluation result corresponding to the target multi-energy complementary energy base scheme are determined based on the second screening result.

5. The method according to claim 4, characterized in that The second screening result includes a plurality of first preliminary multi-energy complementary energy base plans; The determining of the target multi-energy complementary energy base scheme and the evaluation result corresponding to the target multi-energy complementary energy base scheme based on the second screening result includes: Determine a reserve energy parameter corresponding to each energy source based on the plurality of first reserve multi-energy complementary energy base plans; determine a plurality of second reserve multi-energy complementary energy base plans based on the reserve energy parameter corresponding to each energy source based on the calculation model; Based on the calculation model, simulation calculations are performed on each second reserve multi-energy complementary energy base plan according to the energy output curve and the energy base transmission curve to obtain calculation results corresponding to each second reserve multi-energy complementary energy base plan; Based on the calculation model, the plurality of second reserve multi-energy complementary energy base plans are first screened according to the transmission curve tracking rate and the power abandonment rate corresponding to each second reserve multi-energy complementary energy base plan, to determine a plurality of second reserve multi-energy complementary energy base plans that meet preset requirements; Based on the calculation model, a second screening is performed on the plurality of second reserve multi-energy complementary energy base schemes that meet the preset requirements according to the levelized cost of electricity and carbon emissions corresponding to each second reserve multi-energy complementary energy base scheme, and the target multi-energy complementary energy base scheme is determined based on the second screening result; Based on the calculation model, the target multi-energy complementary energy base plan is evaluated according to the evaluation criteria to obtain the evaluation result corresponding to the target multi-energy complementary energy base plan.

6. The method according to claim 5, characterized in that The evaluation criteria include low-carbon and clean indicators, safety and stability indicators, planning economic indicators and planning operation balance indicators.

7. The method according to any one of claims 1 to 6, characterized in that The energy types include wind, light, fire, storage, water and hydrogen.

8. A multi-energy complementary energy base planning and evaluation device, characterized in that: include: A data acquisition module is used to obtain the output curve, adjustment performance parameters and economic parameters corresponding to each energy type of the energy base, and the target energy base delivery curve; The scheme determination module is used to determine the target multi-energy complementary energy base scheme and the evaluation results corresponding to the target multi-energy complementary energy base scheme based on the multi-energy complementary energy base planning and evaluation model according to the output curve corresponding to each energy type of the energy base, the adjustment performance parameters and the economic parameters, and the target energy base delivery curve.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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