Full-life-cycle economic evaluation method for salt-cavern comprehensive energy system

Abstract

The invention relates to a salt cavern integrated energy system full life cycle economic evaluation method, and the method comprises the steps: obtaining electric energy supply and demand data in a target region, and building a mathematical model of a salt cavern integrated energy system based on the electric energy supply and demand data and at least one salt cavern geological parameter; based on the mathematical model, an objective function is determined with the maximum comprehensive economic benefit in the whole life cycle, and a double-layer optimization model of the salt-cavern comprehensive energy system is established; and performing multi-scene evaluation by using a double-layer optimization model to perform modeling and optimization solution on each scene to obtain economy of the system in different scenes, and determining the optimal configuration of the salt cavern integrated energy system according to the economy of the system in different scenes. Therefore, the problems that the overall value is difficult to accurately evaluate and the scientificity of investment decision and the rationality of resource allocation are influenced due to the fact that a static analysis mode is adopted in related technologies and multiple factors such as related complex technologies, economy and environment are not fully considered are solved.

Description

Technical Field

[0001] The present application relates to the technical field of economic evaluation of energy systems, and in particular to a method for full life cycle economic evaluation of a salt cavern integrated energy system. Background Art

[0002] With the growing global demand for clean energy and the accelerated advancement of energy transformation, salt cavern integrated energy systems, as a new type of energy storage and comprehensive utilization model, have received widespread attention.

[0003] In related technologies, energy system economic evaluation methods usually adopt a static analysis model, relying on static benchmark data, such as benchmark electricity prices, fixed operating expenses, and preset revenue models, to measure the costs and benefits of the project, which helps to quickly estimate the profit potential of the energy system.

[0004] However, in related technologies, the economic evaluation method of energy systems fails to fully consider the complex technical, economic, and environmental factors involved in the salt cavern integrated energy system, and is unable to comprehensively and accurately evaluate its cost-effectiveness throughout its life cycle. It is difficult to accurately quantify its true economic value throughout its life cycle, affecting the scientific nature of investment decisions and the rationality of resource allocation, which needs to be urgently addressed. Summary of the Invention

[0005] This application provides a full life cycle economic evaluation method for a salt cavern integrated energy system to address the technical problem in related technologies that the energy system economic evaluation method fails to fully consider the complex technical, economic, and environmental factors involved in the salt cavern integrated energy system, resulting in inaccurate assessment of the overall economic value of the system, which directly affects investment decisions and resource allocation.

[0006] A first aspect of the present application provides a method for economic evaluation of a salt cavern integrated energy system throughout its life cycle, comprising the following steps: obtaining electricity supply and demand data within a target area, and establishing a mathematical model of the salt cavern integrated energy system based on the electricity supply and demand data and at least one salt cavern geological parameter; based on the mathematical model, determining an objective function with the maximum comprehensive economic benefit throughout its life cycle, and establishing a two-layer optimization model for the salt cavern integrated energy system; performing a multi-scenario evaluation using the two-layer optimization model to model and optimize each scenario, thereby obtaining the economic efficiency of the system under different scenarios, and determining the optimal configuration of the salt cavern integrated energy system based on the economic efficiency of the system under the different scenarios.

[0007] Through the above technical means, a two-layer optimization model is established based on the mathematical model of salt cavern integrated energy, and the two-layer optimization model is used to conduct multi-scenario evaluation to obtain the economic efficiency of the system under different scenarios, and finally determine the optimal configuration of the salt cavern integrated energy system. This can make the economic evaluation of the system more flexible and realistic, avoid the deviation in the static evaluation method, and maximize the economic benefits of the system, effectively reduce operating costs, improve energy utilization efficiency, ensure that the system maintains the best state in long-term operation, and thus improve the long-term reliability and stability of the system.

[0008] Optionally, in one embodiment of the present application, before determining the objective function with the maximum comprehensive economic benefit over the entire life cycle, it also includes: obtaining the benefits of the salt cavern integrated energy system over the entire life cycle, the operating costs over the entire life cycle, and the construction costs over the entire life cycle; and obtaining the comprehensive economic benefit over the entire life cycle based on the benefits over the entire life cycle, the operating costs over the entire life cycle, and the construction costs.

[0009] Through the above technical means, the comprehensive economic benefits of the entire life cycle of the salt cavern integrated energy system are calculated based on the income, operating costs and construction costs throughout the entire life cycle. A multi-dimensional evaluation system is established to comprehensively measure the economic efficiency of the system from multiple angles, fully considering all types of income and expenditure of the system, ensuring that the evaluation process is more comprehensive and scientific, and providing a basis for optimized configuration and decision-making.

[0010] Optionally, in one embodiment of the present application, the cost function of the mathematical model of the salt cavern integrated energy system can be expressed as:

[0011]

[0012] Where: I represents the total investment cost of the project; I b 、μ b Respectively represent the unit operating cost of the battery and the battery charging and discharging efficiency; P ch_total 、P dis_total Respectively represent the annual charge and discharge capacity of the battery; C total represents the total cost of compressed air energy storage in geological salt caverns; C eq Represents the equipment purchase cost; C cons represents the construction and installation cost; C oper represents the operation and maintenance cost; C other Indicates other costs.

[0013] Through the above technical means, a total cost function of the salt cavern integrated energy system was established, which fully considered factors from multiple angles, such as the purchase cost of various equipment, the cost of salt cavern construction, and the operating cost of batteries. This achieved an accurate and comprehensive calculation of the total cost, which can more accurately reflect the various expenses incurred by the system during actual operation, and provide solid data support for optimizing the system operation strategy and improving overall economic benefits.

[0014] Optionally, in one embodiment of the present application, the objective function can be expressed as:

[0015]

[0016] Among them, T represents the life cycle; I0 represents the annual cash inflow; E om represents the annual maintenance cost; I represents the total investment cost of the project; η represents the discount rate; I rv It represents the present value of the equipment residual income converted to the beginning of the first year; E ie It represents the present value of the equipment investment cost converted to the beginning of the first year; t represents the number of years.

[0017] Through the above technical means, an objective function based on the entire life cycle was constructed, which integrated the maintenance costs and investment costs of each year, and unified the economic indicators of each period through means such as discounting, thereby accurately reflecting the economic benefits throughout the entire life cycle. It helps to reveal the economic trends of the project over time and provide a scientific basis for analyzing and evaluating the long-term economy and investment returns of the system.

[0018] Optionally, in one embodiment of the present application, the use of the two-layer optimization model to perform multi-scenario evaluation includes: determining the target area for the corresponding scenario based on at least one of the electricity supply and demand conditions, electricity price structure, and local government policies in different regions; and determining the target parameters for the corresponding scenario based on at least one of the parameters of the salt cavern energy storage capacity, charging and discharging efficiency, injection and production rate, and salt cavern geological stability.

[0019] Through the above technical means, based on the power supply and demand situation, electricity price structure, local government policies, etc., the target area for the corresponding scenario is determined, and the target parameters for the corresponding scenario are determined based on the salt cavern energy storage capacity, charging and discharging efficiency, salt cavern geological stability, etc., thus achieving multi-dimensional collaborative optimization, which can improve the fit between the project and the regional energy market, effectively reduce investment risks, and provide a scientific basis for investment decisions in salt cavern energy storage projects, thereby improving the economic efficiency and feasibility of the project.

[0020] The second aspect of the present application provides a full life cycle economic evaluation device for a salt cavern integrated energy system, including: a first establishment module, used to obtain electricity supply and demand data in a target area, and establish a mathematical model of the salt cavern integrated energy system based on the electricity supply and demand data and at least one salt cavern geological parameter; a second establishment module, based on the mathematical model, determines the objective function with the maximum comprehensive economic benefit over the entire life cycle, and establishes a two-layer optimization model of the salt cavern integrated energy system; an evaluation module, using the two-layer optimization model to perform multi-scenario evaluation to model and optimize each scenario, obtain the economic efficiency of the system under different scenarios, and determine the optimal configuration of the salt cavern integrated energy system based on the economic efficiency of the system under the different scenarios.

[0021] Through the above technical means, a two-layer optimization model is established based on the mathematical model of salt cavern integrated energy, and the two-layer optimization model is used to conduct multi-scenario evaluation to obtain the economic efficiency of the system under different scenarios, and finally determine the optimal configuration of the salt cavern integrated energy system. This can make the economic evaluation of the system more flexible and realistic, avoid the deviation in the static evaluation method, and maximize the economic benefits of the system, effectively reduce operating costs, improve energy utilization efficiency, ensure that the system maintains the best state in long-term operation, and thus improve the long-term reliability and stability of the system.

[0022] Optionally, in one embodiment of the present application, the second establishment module includes: an acquisition unit for obtaining the income, operating costs and construction costs of the salt cavern integrated energy system throughout its entire life cycle; and a processing unit for obtaining the comprehensive economic benefits of the entire life cycle based on the income, operating costs and construction costs throughout its entire life cycle.

[0023] Through the above technical means, the comprehensive economic benefits of the entire life cycle of the salt cavern integrated energy system are calculated based on the income, operating costs and construction costs throughout the entire life cycle. A multi-dimensional evaluation system is established to comprehensively measure the economic efficiency of the system from multiple angles, fully considering all types of income and expenditure of the system, ensuring that the evaluation process is more comprehensive and scientific, and providing a basis for optimized configuration and decision-making.

[0024] Optionally, in one embodiment of the present application, the first establishing module includes a cost function acquisition unit, and the cost function of the mathematical model of the salt cavern integrated energy system can be expressed as:

[0025]

[0026] Where: I represents the total investment cost of the project; I b 、μ b Respectively represent the unit operating cost of the battery and the battery charging and discharging efficiency; P ch_total 、Pdis_total Respectively represent the annual charge and discharge capacity of the battery; C total represents the total cost of compressed air energy storage in geological salt caverns; C eq Represents the equipment purchase cost; C cons represents the construction and installation cost; C oper represents the operation and maintenance cost; C other Indicates other costs.

[0027] Through the above technical means, a total cost function of the salt cavern integrated energy system was established, which fully considered factors from multiple angles, such as the purchase cost of various equipment, the cost of salt cavern construction, and the operating cost of batteries. This achieved an accurate and comprehensive calculation of the total cost, which can more accurately reflect the various expenses incurred by the system during actual operation, and provide solid data support for optimizing the system operation strategy and improving overall economic benefits.

[0028] Optionally, in one embodiment of the present application, the second establishing module includes a unit for determining an objective function, and the objective function can be expressed as:

[0029]

[0030] Among them, T represents the life cycle; I0 represents the annual cash inflow; E om represents the annual maintenance cost; I represents the total investment cost of the project; η represents the discount rate; I rv It represents the present value of the equipment residual income converted to the beginning of the first year; E ie It represents the present value of the equipment investment cost converted to the beginning of the first year; t represents the number of years.

[0031] Through the above technical means, an objective function based on the entire life cycle was constructed, which integrated the maintenance costs and investment costs of each year, and unified the economic indicators of each period through means such as discounting, thereby accurately reflecting the economic benefits throughout the entire life cycle. It helps to reveal the economic trends of the project over time and provide a scientific basis for analyzing and evaluating the long-term economy and investment returns of the system.

[0032] Optionally, in one embodiment of the present application, the evaluation module includes: a target area determination unit, which is used to determine the target area of ​​the corresponding scenario based on at least one of the electricity supply and demand conditions, electricity price structure, and local government policies in different regions; and a target parameter determination unit, which is used to determine the target parameters of the corresponding scenario based on at least one of the parameters of the salt cavern energy storage capacity, charging and discharging efficiency, injection and production rate, and salt cavern geological stability.

[0033] Through the above technical means, based on the power supply and demand situation, electricity price structure, local government policies, etc., the target area for the corresponding scenario is determined, and the target parameters for the corresponding scenario are determined based on the salt cavern energy storage capacity, charging and discharging efficiency, salt cavern geological stability, etc., thus achieving multi-dimensional collaborative optimization, which can improve the fit between the project and the regional energy market, effectively reduce investment risks, and provide a scientific basis for investment decisions in salt cavern energy storage projects, thereby improving the economic efficiency and feasibility of the project.

[0034] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the full life cycle economic evaluation method for a salt cavern integrated energy system as described in the above embodiment.

[0035] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, the above-mentioned method for economic evaluation of the entire life cycle of a salt cavern integrated energy system is implemented.

[0036] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned full life cycle economic evaluation method for the salt cavern integrated energy system.

[0037] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0039] Figure 1 This is a flow chart of a method for economic evaluation of the entire life cycle of a salt cavern integrated energy system provided in accordance with an embodiment of the present application;

[0040] Figure 2 This is a schematic diagram of a salt cavern integrated energy system model according to one embodiment of the present application;

[0041] Figure 3 Schematic diagram of a full life cycle economic evaluation device for a salt cavern integrated energy system according to an embodiment of the present application;

[0042] Figure 4 The figure is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application.

[0043] Reference numerals:

[0044] 10 - Salt cavern integrated energy system full life cycle economic evaluation device; 100 - first establishment module, 200 - second establishment module and 300 - evaluation module; 401 - memory, 402 - processor and 403 - communication interface. DETAILED DESCRIPTION

[0045] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0046] The following describes the economic evaluation method of the salt cave integrated energy system of the embodiment of the present application with reference to the accompanying drawings. In view of the limitations of the energy system economic evaluation method mentioned in the above background technology in measuring the salt cave energy system, it is difficult to accurately evaluate its overall value, which affects the technical problem of the scientific nature of investment decision-making and the rationality of resource allocation. The present application provides a method for economic evaluation of the salt cave integrated energy system throughout its life cycle. In this method, based on regional electricity supply and demand data and salt cave geological data, system capacity parameters are determined, and a two-level optimization model with the goal of maximizing the comprehensive economic benefits of the entire life cycle is constructed. The particle swarm algorithm and commercial solver are used to solve the optimal scheduling scheme. The full life cycle economy of the salt cave integrated energy system can be comprehensively evaluated, various costs and benefits are quantified, and the profitability of the system at different operating stages is clearly demonstrated. Through a comprehensive analysis of factors such as maintenance costs, operating costs, construction costs and energy benefits, the economic efficiency of the system is intuitively presented, helping decision makers understand the impact of different decisions on the long-term economic benefits of the system. In addition, through multi-scenario evaluation and optimized configuration, it can ensure that the system achieves the best economic performance under different market conditions, policy environments and geological risks, thereby achieving maximum return on investment and sustainable development. This solves the technical problem that the economic evaluation method in related technologies has limitations in measuring the economic feasibility of salt cavern energy systems, making it difficult to accurately assess their overall value, and affecting the scientific nature of investment decisions and the rationality of resource allocation.

[0047] Specifically, Figure 1 A flow chart of a method for economic evaluation of the entire life cycle of a salt cavern integrated energy system provided in an embodiment of the present application.

[0048] like Figure 1 As shown in the figure, the economic evaluation method for the whole life cycle of the salt cavern integrated energy system includes the following steps:

[0049] In step S101 , power supply and demand data in a target area is obtained, and a mathematical model of a salt cavern integrated energy system is established based on the power supply and demand data and at least one salt cavern geological parameter.

[0050] In some embodiments, power supply and demand data may include, but is not limited to, historical power consumption, load curves, and electricity price information. This data helps understand the power market conditions and demand fluctuations in the region, helps assess the economic efficiency and profitability of the system over time, and provides an important basis for system design and operational decisions.

[0051] Salt cavern geological parameters are key factors influencing the performance of salt cavern energy storage systems, including their storage capacity, geological stability, and salt layer thickness and density. Storage capacity determines the amount of energy a salt cavern can store; geological stability ensures long-term safe operation, preventing structural collapse or leakage; salt layer thickness and density directly determine the size and pressure of the storage space, while gas storage characteristics influence the overall system performance. Comprehensive consideration of these geological parameters allows for the optimal design and operation of salt cavern integrated energy systems, ensuring optimal performance under varying operating conditions.

[0052] like Figure 2 As shown, in the design example of this application, the salt cavern integrated energy system mainly relies on salt cavern energy storage equipment to realize the storage and release of electric energy, to balance the fluctuations in supply and demand of electricity, to reduce peaks and fill valleys, and to obtain economic benefits by participating in the buying and selling activities of the electricity market.

[0053] In some embodiments, the salt cavern integrated energy system mainly uses salt cavern energy storage equipment to adjust the supply and demand of electricity when the grid load fluctuates, thereby achieving peak shaving and valley filling, frequency regulation and voltage regulation.

[0054] Specifically, during periods of low electricity demand, when the grid has excess power, the system converts excess electricity into air pressure potential energy and stores it. The heat generated during the air compression process is stored in a heat storage tank. During peak electricity demand periods, the stored air pressure potential energy is converted into electricity, alleviating pressure on the grid. Based on actual conditions, this maximizes economic benefits while maintaining stable system operation.

[0055] Furthermore, the salt cavern integrated energy system exploits price fluctuations in the electricity market through arbitrage. Electricity price fluctuations in the electricity market are often caused by factors such as supply and demand, policy adjustments, and weather changes. By capturing these price fluctuations, the salt cavern integrated energy system can purchase electricity and store it when prices are low, and release and sell it when prices are high, thereby generating profits. Furthermore, the salt cavern integrated energy system can generate additional revenue by providing ancillary services such as frequency regulation and load tracking.

[0056] In some embodiments, the cost-benefit analysis method is to determine whether an alternative investment plan is economically feasible by comprehensively comparing the predicted cost and the final expected benefits of the plan.

[0057] The following is a detailed description of the cost analysis of the salt cavern integrated energy system in the embodiment of the present application using a specific example. In one embodiment of the present application, the calculation formula for evaluating the economic efficiency of the salt cavern integrated energy system can be as follows:

[0058] P=IE,

[0059] Among them, P represents the annualized profit of the salt cavern integrated energy system; I represents the annual income value of the salt cavern integrated energy system; and E represents the expenditure of the salt cavern integrated energy system.

[0060] Furthermore, in the examples of this application, the costs and benefits of the salt cavern integrated energy system over its entire life cycle need to be considered, employing the net present value analysis method from economics. In engineering projects, NPV refers to the difference between the present value of total revenue and total expenditure over the entire life cycle. The net present value method converts each year's cash flow into a present value and then subtracts it from the initial construction cost to obtain the net present value.

[0061] Specifically, the net present value NPV (denoted as N PV ) The calculation formula can be as follows:

[0062]

[0063] Where T represents the life cycle; η represents the discount rate; I o (t) represents the cash inflow of the project in year t; E o (t) represents the cash outflow of the project in year t.

[0064] In some embodiments, the cost structure of salt cavern compressed air energy storage mainly includes: salt cavern mine development cost, equipment purchase cost, operation and maintenance cost, and other costs.

[0065] Specifically, in the embodiment of the present application, the total cost of geological compressed air energy storage can be expressed as:

[0066] C total =C eq +C cons +C oper +C other ,

[0067] Among them, C eq Equipment purchase cost, including compressor, turbine, gas storage facilities, thermal management equipment, electrical equipment, etc.; C cons Construction and installation costs, including salt cave mine development costs, equipment installation and commissioning, and supporting facilities construction costs; C oper Operation and maintenance costs include energy consumption, maintenance and repair, labor costs, etc.; C other Other costs include R&D costs, environmental costs, etc.

[0068] Furthermore, wind power and photovoltaic power are important components of the integrated energy system, and their equipment costs account for a large proportion. The total equipment investment cost of the integrated energy system is converted to the present value E at the beginning of the first year. ie It can be expressed as:

[0069]

[0070] Where n represents n power supplies and other devices in the system; E iea represents the unit power cost of the ath device; P ea represents the installed capacity of the ath device; σ represents the proportion of the corresponding power electronic interface device cost to the device cost during the installation process; g n The number of resets of the ath device; T a Indicates the service life of the ath device.

[0071] Furthermore, the maintenance cost of each device in the salt cavern integrated energy system is generally proportional to the installed capacity. Therefore, the annual maintenance cost of the system is E om It can be expressed as:

[0072]

[0073] Among them, E oma It represents the maintenance cost per unit capacity of the a-th device.

[0074] Furthermore, in the embodiment of the present application, the operating cost of the salt cavern integrated energy system mainly includes the operating cost of the energy storage unit. The operating cost of the energy storage unit takes into account the effective service life of the equipment and converts its replacement cost into the daily use process of the energy storage unit.

[0075] Optionally, in one embodiment of the present application, the cost function of the mathematical model of the salt cavern integrated energy system may be:

[0076]

[0077] Where: I represents the total investment cost of the project; I b 、μ b Respectively represent the unit operating cost of the battery and the battery charging and discharging efficiency; P ch_total 、P dis_total Respectively represent the annual charge and discharge capacity of the battery; C total represents the total cost of compressed air energy storage in geological salt caverns; C eq Represents the equipment purchase cost; C cons represents the construction and installation cost; C oper represents the operation and maintenance cost; C other Indicates other costs.

[0078] The embodiments of the present application take into account multiple cost factors, including but not limited to system construction costs, operating costs, maintenance costs, energy production costs, etc. By comprehensively quantifying these costs, it is possible to accurately evaluate the economic efficiency throughout the entire life cycle, carefully analyze the cost structure at different stages, and optimize the cost-effectiveness ratio, thereby ensuring the profitability, sustainability, and economic benefits of the system in the long term.

[0079] In step S102, based on the mathematical model, the objective function is determined with the maximum comprehensive economic benefit over the entire life cycle, and a two-layer optimization model of the salt cavern integrated energy system is established.

[0080] In some embodiments, the full life cycle includes the entire process of the system from construction, operation to decommissioning; the comprehensive economic benefits take into account all revenues, including but not limited to electricity sales, frequency regulation services, etc., and all expenditures, which may include but not limited to construction costs, operation and maintenance costs, energy consumption, etc., and are usually unified into present values ​​through discounting, thereby constituting the objective function in the optimization problem.

[0081] In the embodiments of the present application, the two-layer optimization model means that the established optimization model has two levels. Generally, the upper-level model (main problem) is responsible for global decision-making, such as capacity configuration, resource allocation, long-term investment, etc., with the goal of maximizing economic benefits throughout the entire life cycle. The lower-level model (sub-problem) is responsible for detailed operation scheduling, such as daily or hourly charging and discharging arrangements, energy flow control, etc., to ensure practical and feasible operation under the upper-level configuration scheme. The two-layer structure enables the model to consider strategic decisions from a global perspective while taking into account the practical feasibility and economy of the operation level.

[0082] Optionally, in one embodiment of the present application, before determining the objective function based on the maximum comprehensive economic benefit over the entire life cycle, it also includes: obtaining the benefits of the salt cavern integrated energy system over the entire life cycle, the operating costs and the construction costs over the entire life cycle; and obtaining the comprehensive economic benefits over the entire life cycle based on the benefits over the entire life cycle, the operating costs and the construction costs over the entire life cycle.

[0083] It should be noted that the comprehensive economic benefit over the entire life cycle is the core indicator for measuring the economic feasibility of the salt cavern integrated energy system, and is usually calculated using the following formula: Comprehensive economic benefit over the entire life cycle = system benefits over the entire life cycle - system operating costs over the entire life cycle - system construction costs.

[0084] Total revenue generally includes electricity sales revenue, ancillary service revenue (such as frequency regulation and peak shaving), carbon trading revenue, and energy storage arbitrage revenue generated during the system's operation. Operating costs generally cover equipment maintenance expenses, energy procurement costs, daily operating expenses, depreciation, and other long-term operating expenses. Construction costs generally refer to the initial system investment, such as one-time investments in salt cavern development, energy storage equipment purchase and installation, and infrastructure construction. These indicators can comprehensively reflect the net economic benefits of the system over its life cycle, providing a key basis for investment evaluation and optimization decisions.

[0085] In some embodiments, the electric energy in the salt cavern integrated energy system must first meet the needs of the system user side to ensure a stable supply of basic load.

[0086] In the embodiment of the present application, the electricity price mechanism is calculated using the relevant provisions of the peak-valley electricity price mechanism. The electricity consumption income per unit time area can be expressed as:

[0087] I lg =a k P k_all +a v P v_all +a f P f_all ,

[0088] Among them, a k 、a v 、a f They represent peak electricity price, valley electricity price and normal electricity price respectively; P k_all 、P v_all 、P f_all They represent the annual peak electricity consumption, off-peak electricity consumption and normal electricity consumption respectively.

[0089] Furthermore, in order to support and encourage the new energy power generation industry, the state has implemented a subsidy policy for new energy power generation. The subsidy income for new energy power generation in the salt cavern integrated energy system can be calculated as the product of the subsidized electricity price and the corresponding total power generation of new energy included in the subsidy plan. Specifically, its expression can be:

[0090] I ng =δP to_total ,

[0091] Among them, δ is the government subsidy electricity price, which can be taken as 0.08 yuan / (kW·h); P to_total is the total amount of electricity generated by renewable energy.

[0092] In some embodiments, different power generation equipment will generate various pollutants, which will have a certain impact on the environment. By changing the form of power generation, etc., the emission of pollutants can be reduced, thereby weakening the losses caused to the environment and other aspects, and the resulting environmental value is the environmental benefit. The losses caused by pollution include two aspects: one is environmental loss, including ecological environmental damage caused by excessive consumption of natural resources and the decline in environmental quality caused by pollution; the other is non-environmental losses caused by environmental pollution, such as agricultural losses caused by air pollution, damage to human health caused by harmful substances, etc. Specifically, the pollution emission data, environmental evaluation standards and calculation formulas of distributed power generation can be:

[0093]

[0094] Among them, f t.p represents the emission of the pth pollutant generated by traditional thermal power generation units; f a.p U represents the emission of the pth pollutant of the ath distributed generation equipment; p1 represents the unit environmental value of the pth pollutant; U p2 represents the unit penalty amount for the pth pollutant.

[0095] In some embodiments, residual value refers to the cost of cleaning or destroying a micro-energy source at the end of its life cycle. Solar panels, wind turbines, diesel engines, gas turbines, and batteries can all be recycled and sold at the end of their lifespans, generating varying amounts of residual value.

[0096] Specifically, in the embodiment of the present application, the residual value income of the salt cavern integrated energy system equipment is converted to the present value I at the beginning of the first year. rv The specific calculation formula can be expressed as:

[0097]

[0098] Among them, ea is the unit residual value of the corresponding equipment.

[0099] In summary, the annual cash inflow is o It can be expressed as:

[0100] I o =I lg +I sell +I ng +I er ,

[0101] In the embodiment of the present application, the types of integrated energy systems selected include gas turbines, wind turbines, photovoltaics, and batteries for energy storage devices, giving full play to the advantages of each energy end, starting from the whole society level, comprehensively considering various factors, and configuring capacity with the goal of maximizing comprehensive benefits.

[0102] Specifically, in the embodiment of the present application, the economic benefit of the system is the benefit over the entire life cycle of the system - the operating cost over the entire life cycle of the system - the system construction cost.

[0103] Optionally, in one embodiment of the present application, the objective function for determining the maximum comprehensive economic benefit over the entire life cycle can be expressed as:

[0104]

[0105] Among them, T represents the life cycle, I0 represents the annual cash inflow, E om represents the annual maintenance cost, I represents the total investment cost of the project, η represents the discount rate, I rv It represents the present value of the equipment residual income converted to the beginning of the first year, E ie It represents the present value of the equipment investment cost discounted to the beginning of the first year.

[0106] Furthermore, the embodiment of the present application takes into account various operating constraints of the system, establishes an optimization model, and uses a particle swarm algorithm and a commercial solver to obtain the optimal solution.

[0107] It is understandable that the particle swarm algorithm excels at global search and is suitable for handling complex, nonlinear, and multivariable optimization problems, and can quickly find high-quality solutions in a large range of solution spaces; commercial solvers have powerful numerical computing capabilities and can refine and verify the results in terms of accuracy and stability; this combination can take into account both global search capabilities and local solution accuracy, effectively avoiding falling into local optimality and improving the quality and feasibility of the solution.

[0108] In step S103, a two-layer optimization model is used to perform multi-scenario evaluation to model and optimize each scenario, obtain the economic efficiency of the system under different scenarios, and determine the optimal configuration of the salt cavern integrated energy system based on the economic efficiency of the system under different scenarios.

[0109] By evaluating the salt cavern integrated energy system under different conditions, we can reflect the economic benefits of the system under different regions, parameters and policy conditions, and compare the results of each scenario to select the system configuration and scheduling strategy.

[0110] Optionally, in one embodiment of the present application, a two-layer optimization model is used to perform multi-scenario evaluation, including: determining the target area for the corresponding scenario based on at least one of the electricity supply and demand conditions, electricity price structure, and local government policies in different regions; and determining the target parameters for the corresponding scenario based on at least one of the parameters of the salt cavern energy storage capacity, charging and discharging efficiency, injection and production rate, and salt cavern geological stability.

[0111] Specifically, multi-scenario settings can change regions and system parameters. Changing regions requires considering factors such as the electricity supply and demand situation, electricity price structure, and local government policies in different regions; changing parameters can be achieved by changing parameters such as the salt cavern energy storage capacity, charging and discharging efficiency, and geological stability of the salt cavern. Optimization models are constructed for each scenario, and the constraints in each model are adjusted to adapt to different scenarios. Optimization solutions are then performed to obtain the economic efficiency of the system under different scenarios, and the economic benefits, cost-effectiveness, and risks of the entire life cycle are analyzed. The optimal configuration is then selected based on the optimal overall economic benefits, greater scenario coverage, and robustness in the face of uncertainties.

[0112] In this application's examples, the optimal configuration derived through multi-scenario evaluation not only provides decision support for the design and scheduling of the salt cavern integrated energy system, but also serves as a guide for subsequent operational phases. In practical applications, by regularly updating the parameters in the multi-scenario evaluation, system operation strategies can be adjusted in a timely manner to respond to changes in the external environment and fluctuations in market demand.

[0113] According to the full life cycle economic evaluation method of the salt cavern integrated energy system proposed in the embodiment of the present application, the system capacity parameters can be determined based on regional electricity supply and demand data and salt cavern geological data, and a two-level optimization model with the goal of maximizing the comprehensive economic benefits of the full life cycle can be constructed. The particle swarm algorithm and commercial solver are used to solve the optimal scheduling plan. In this way, a comprehensive evaluation of the full life cycle economy of the salt cavern integrated energy system can be carried out, various costs and benefits can be quantified, and the profitability of the system at different operating stages can be clearly demonstrated. This ensures that the system achieves optimal economic performance under different market conditions, policy environments, and geological risks, helping decision makers understand the impact of different decisions on the long-term economic benefits of the system, thereby achieving maximum return on investment and sustainable development.

[0114] Next, a full life cycle economic evaluation device for a salt cavern integrated energy system proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0115] Figure 3 Schematic diagram of a full life cycle economic evaluation device for a salt cavern integrated energy system according to an embodiment of the present application.

[0116] like Figure 3As shown, the salt cavern integrated energy system full life cycle economic evaluation device 10 includes: a first establishment module 100, a second establishment module 200 and an evaluation module 300.

[0117] The first establishing module 100 is used to obtain power supply and demand data in the target area, and establish a mathematical model of the salt cavern integrated energy system based on the power supply and demand data and at least one salt cavern geological parameter.

[0118] The second establishing module 200 is used to establish a two-layer optimization model of the salt cavern integrated energy system based on a mathematical model and with the objective function determined by maximizing the comprehensive economic benefits over the entire life cycle.

[0119] The evaluation module 300 is used to perform multi-scenario evaluation using a two-layer optimization model to model and optimize each scenario, obtain the economic efficiency of the system under different scenarios, and determine the optimal configuration of the salt cavern integrated energy system based on the economic efficiency of the system under different scenarios.

[0120] Optionally, in one embodiment of the present application, the second establishing module 200 includes: an acquiring unit and a processing unit.

[0121] Among them, the acquisition unit is used to obtain the income, operation cost and construction cost of the salt cavern integrated energy system throughout its entire life cycle.

[0122] The processing unit is used to obtain the comprehensive economic benefits of the entire life cycle based on the income, operating costs and construction costs of the entire life cycle.

[0123] Optionally, in one embodiment of the present application, the first establishing module 100 includes: a cost function acquisition unit.

[0124] Among them, the cost function unit is obtained, and the cost function of the mathematical model of the salt cavern integrated energy system can be expressed as:

[0125]

[0126] Where: I represents the total investment cost of the project; I b 、μ b Respectively represent the unit operating cost of the battery and the battery charging and discharging efficiency; P ch_total 、P dis_total Respectively represent the annual charge and discharge capacity of the battery; C total represents the total cost of compressed air energy storage in geological salt caverns; C eq Represents the equipment purchase cost; C cons represents the construction and installation cost; C oper represents the operation and maintenance cost; C other Indicates other costs.

[0127] Optionally, in one embodiment of the present application, the second establishing module 200 includes: determining an objective function unit.

[0128] Among them, the objective function unit is determined, and the objective function can be expressed as:

[0129]

[0130] Among them, T represents the life cycle; I0 represents the annual cash inflow; E om represents the annual maintenance cost; I represents the total investment cost of the project; η represents the discount rate; I rv It represents the present value of the equipment residual income converted to the beginning of the first year; E ie It represents the present value of the equipment investment cost converted to the beginning of the first year; t represents the number of years.

[0131] Optionally, in one embodiment of the present application, the evaluation module 300 includes: a target area determination unit and a target parameter determination unit.

[0132] The target area determination unit is used to determine the target area for the corresponding scenario based on at least one of the power supply and demand conditions, electricity price structure, and local government policies in different regions.

[0133] The target parameter determination unit is used to determine the target parameters of the corresponding scenario based on at least one parameter of the salt cavern energy storage capacity, charge and discharge efficiency, injection and production rate, and salt cavern geological stability.

[0134] It should be noted that the aforementioned explanation of the embodiment of the method for economic evaluation of the entire life cycle of a salt cavern integrated energy system is also applicable to the economic evaluation device for the entire life cycle of a salt cavern integrated energy system of this embodiment, and will not be repeated here.

[0135] The full life cycle economic evaluation device for the salt cavern integrated energy system proposed in the embodiment of the present application can conduct a comprehensive evaluation of the full life cycle economy of the salt cavern integrated energy system, quantify various costs and benefits, and clearly display the profitability of the system at different operating stages, ensuring that the system achieves optimal economic performance under different market conditions, policy environments, and geological risks, and helping decision makers understand the impact of different decisions on the long-term economic benefits of the system, thereby achieving maximum return on investment and sustainable development.

[0136] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0137] Memory 401 , processor 402 , and computer programs stored in the memory 401 and executable on the processor 402 .

[0138] When the processor 402 executes the program, the full life cycle economic evaluation method of the salt cavern integrated energy system provided in the above embodiment is implemented.

[0139] Furthermore, the electronic device further includes:

[0140] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0141] The memory 401 is used to store computer programs that can be run on the processor 402 .

[0142] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0143] If the memory 401, the processor 402, and the communication interface 403 are implemented independently, the communication interface 403, the memory 401, and the processor 402 can be connected to each other via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0144] Optionally, in a specific implementation, if the memory 401 , the processor 402 and the communication interface 403 are integrated on a chip, the memory 401 , the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0145] The processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0146] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for economic evaluation of the entire life cycle of a salt cavern integrated energy system.

[0147] An embodiment of the present application also provides a computer program product, including a computer program, which can run computer instructions. When the computer instructions are executed by a processor, the full life cycle economic evaluation method of the salt cavern integrated energy system provided in the embodiment of the present application is implemented.

[0148] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0149] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0150] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing a custom logical function or process step, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed in a different order than shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0151] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or N wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0152] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented using hardware, as in another embodiment, it can be implemented using any one or a combination of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0153] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0154] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0155] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for economic evaluation of the entire life cycle of a salt cavern integrated energy system, characterized in that: The following steps are involved: Acquiring power supply and demand data within the target area, and establishing a mathematical model of the salt cavern integrated energy system based on the power supply and demand data and at least one salt cavern geological parameter; Based on the mathematical model, the objective function is determined by maximizing the comprehensive economic benefits over the entire life cycle, and a two-level optimization model for the salt cavern integrated energy system is established; The two-layer optimization model is used to perform multi-scenario evaluation to model and optimize each scenario, obtain the economic efficiency of the system under different scenarios, and determine the optimal configuration of the salt cavern integrated energy system based on the economic efficiency of the system under the different scenarios.

2. The method according to claim 1, characterized in that Before determining the objective function based on the maximum comprehensive economic benefit over the entire life cycle, it also includes: Obtaining the income, operating costs and construction costs of the salt cavern integrated energy system over its entire life cycle; The comprehensive economic benefit over the entire life cycle is obtained based on the income over the entire life cycle, the operating cost over the entire life cycle, and the construction cost.

3. The method according to claim 1, characterized in that The cost function of the mathematical model of the salt cavern integrated energy system is: Where: I represents the total investment cost of the project; I b 、μ b Respectively represent the unit operating cost of the battery and the battery charging and discharging efficiency; P ch_total 、P dis_total Respectively represent the annual charge and discharge capacity of the battery; C total represents the total cost of compressed air energy storage in geological salt caverns; C eq Represents the equipment purchase cost; C cons represents the construction and installation cost; C oper represents the operation and maintenance cost; C other Indicates other costs.

4. The method according to claim 3, characterized in that The objective function is: Among them, T represents the life cycle; I0 represents the annual cash inflow; E om represents the annual maintenance cost; I represents the total investment cost of the project; η represents the discount rate; I rv It represents the present value of the equipment residual income converted to the beginning of the first year; E ie It represents the present value of the equipment investment cost converted to the beginning of the first year; t represents the number of years.

5. The method according to claim 1, wherein The multi-scenario evaluation using the two-layer optimization model includes: Determine the target area for the scenario based on at least one of the following factors: electricity supply and demand, electricity price structure, and local government policies in different regions; Based on at least one parameter of the salt cavern energy storage capacity, charge and discharge efficiency, injection and production rate, and salt cavern geological stability, the target parameters of the corresponding scenario are determined.

6. A salt cavern integrated energy system full life cycle economic evaluation device, characterized in that: include: a first establishment module for acquiring power supply and demand data in a target area and establishing a mathematical model of a salt cavern integrated energy system based on the power supply and demand data and at least one salt cavern geological parameter; The second establishment module is used to determine the objective function based on the mathematical model and maximize the comprehensive economic benefits over the entire life cycle to establish a two-level optimization model for the salt cavern integrated energy system; An evaluation module is used to use the two-layer optimization model to perform multi-scenario evaluation to model and optimize each scenario, obtain the economic efficiency of the system under different scenarios, and determine the optimal configuration of the salt cavern integrated energy system based on the economic efficiency of the system under the different scenarios.

7. The device according to claim 6, characterized in that The second establishing module includes: An acquisition unit, configured to acquire the income, operating costs, and construction costs of the salt cavern integrated energy system over its entire life cycle; A processing unit is used to obtain the comprehensive economic benefits of the entire life cycle based on the benefits of the entire life cycle, the operating costs of the entire life cycle and the construction costs.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the full life cycle economic evaluation method for a salt cavern integrated energy system according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the full life cycle economic evaluation method for a salt cavern integrated energy system as described in any one of claims 1 to 5.

10. A computer program product comprising a computer program, characterized in that The computer program is executed to implement the full life cycle economic evaluation method for a salt cavern integrated energy system according to any one of claims 1 to 5.

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