Method, device and equipment for measuring comprehensive value of electro-hydrogen coupling system and medium

Abstract

The invention discloses a method and device for measuring the comprehensive value of an electricity-hydrogen coupling system, and relates to the technical field of novel energy storage, and the method comprises the steps: obtaining the related data of the electricity-hydrogen coupling system; an electricity-hydrogen coupling system comprehensive value measurement model considering external characteristics is constructed, and the electricity-hydrogen coupling system comprehensive value measurement model takes the minimum total operation cost of the electricity-hydrogen coupling system as a target by setting a target function and constraint conditions; inputting related data into a comprehensive value measurement model of the electricity-hydrogen coupling system, and comparing various cost changes before and after coupling hydrogen energy storage of the power system; and comprehensively evaluating contributions of the electricity-hydrogen coupling system in the aspects of economy, environmental benefits and power grid stability according to quantitative results of various cost changes of the system before and after configuration of the hydrogen energy system, and obtaining the comprehensive value of the quantified electricity-hydrogen coupling system. The energy utilization efficiency is improved, the operation cost is reduced, and the system stability is improved.

Description

Technical Field

[0001] The present invention relates to the field of novel energy storage technology, and in particular to a method, device, equipment and medium for measuring the comprehensive value of an electric-hydrogen coupling system. Background Art

[0002] As a clean, low-carbon secondary energy source, hydrogen energy is playing an increasingly important role in the global energy transformation due to its advantages such as diverse resources and great storage potential. my country's relevant plans also list hydrogen energy as a focus of future industrial development, further clarifying its core position in the future energy system.

[0003] The electric-hydrogen coupling system is an important technical path to achieve the deep integration of hydrogen energy and electricity. It can effectively alleviate grid load fluctuations, optimize the consumption of new energy, and provide auxiliary service support for the grid. This system not only solves the intermittent problem of renewable energy, but also improves the flexibility and stability of the power system, thus playing an important role in the energy transformation process.

[0004] Although previous studies have analyzed the economic performance and operational stability of the electric-hydrogen coupling system, these evaluation systems often focus on direct economic benefits and ignore the comprehensive measurement of the system's externality value; the existing comprehensive value measurement methods for the electric-hydrogen coupling system still have shortcomings in quantifying new energy consumption, environmental benefits and system stability. This limitation makes it difficult for current methods to provide a scientific decision-making basis for system optimization operation and long-term investment planning. Summary of the invention

[0005] The present invention provides a method, device, equipment and medium for measuring the comprehensive value of an electric-hydrogen coupling system, which can reveal the value composition and specific flow of the electric-hydrogen coupling system, and help improve energy utilization efficiency, reduce operating costs and improve system stability.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: a method for measuring the comprehensive value of an electric-hydrogen coupling system, comprising the following steps:

[0007] S10: Acquire relevant data of the electric-hydrogen coupling system;

[0008] S20: Based on the relevant data, construct a comprehensive value measurement model of the electric-hydrogen coupling system taking into account external characteristics, wherein the comprehensive value measurement model of the electric-hydrogen coupling system sets an objective function and constraint conditions with the goal of minimizing the total operating cost of the electric-hydrogen coupling system;

[0009] S30: inputting the relevant data into the comprehensive value measurement model of the electric-hydrogen coupling system, and comparing the cost changes before and after the electric power system is coupled with hydrogen energy storage;

[0010] S40: Based on the quantified results of the comparison of the cost changes before and after the power system is coupled with hydrogen energy storage, a comprehensive evaluation is made of the contribution of the electric-hydrogen coupling system in terms of economy, environmental benefits and grid stability, and the comprehensive value of the quantified electric-hydrogen coupling system is obtained.

[0011] Furthermore, in step S10, the relevant data include: hydrogen energy storage capacity, hydrogen charging and discharging efficiency, upper and lower limits of hydrogen storage, maximum hydrogen charging and discharging power, hydrogen fuel cell power generation efficiency, rated power and maximum input power of alkaline electrolyzer, new energy output and load forecast curve, start-up and shutdown cost of thermal power units and quadratic function coefficient of power generation cost.

[0012] Furthermore, in step S20, the total operating cost includes: fuel cost of thermal power units, start-up and shutdown cost of thermal power units, standby service cost, peak load service cost, pollution discharge cost, new energy power abandonment cost and load loss cost.

[0013] Further, in step S20, based on the relevant data, a comprehensive value measurement model of the electric-hydrogen coupling system considering external characteristics is constructed, and the comprehensive value measurement model of the electric-hydrogen coupling system is constructed by setting an objective function and constraints. The objective function is based on the total operating cost C of the electric-hydrogen coupling system. zong The goal is to minimize the total operating cost C zong Models include:

[0014]

[0015] In the formula, is the fuel cost of the thermal power unit at time t, is the start-up and shutdown cost of the thermal power unit at time t, is the backup service cost at time t, is the peak load service cost at time t, is the pollution discharge cost at time t, is the cost of renewable energy curtailment at time t, is the load loss cost at time t.

[0016] Furthermore, the fuel cost of the thermal power unit The model is:

[0017]

[0018] In the formula, is the fuel price of thermal power unit g, is the heat rate curve of thermal power unit g, is the output of thermal power unit g at time t.

[0019] Furthermore, the start-up and shutdown cost of the thermal power unit The model is:

[0020]

[0021] In the formula, GU g,t , GD g,t are the start-up and shutdown costs of thermal power unit g at time t, is the fuel price of thermal power unit g.

[0022] Furthermore, the backup service cost The model is:

[0023]

[0024] In the formula, s G,xby Unit cost for spinning reserve service, s G,rby The unit cost of serving hot standby, is the spinning reserve service capacity of thermal power unit g at time t, is the hot standby service capacity of thermal power unit g at time t.

[0025] Furthermore, the peak load service cost The model is:

[0026]

[0027] In the formula, s G,xby The unit cost of peak load shaving service, It is the peak load service capacity of thermal power unit g at time t.

[0028] Furthermore, the sewage discharge cost The model is:

[0029]

[0030] In the formula, is the unit emission cost of pollutant j; E j,t is the emission of pollutant j discharged by thermal power units.

[0031] Furthermore, the cost of abandoned electricity from new energy The model is:

[0032]

[0033] In the formula, s qd Penalty costs for units that curtail electricity; is the maximum output power of the wind farm w; is the actual output power of the wind farm w.

[0034] Furthermore, the load loss cost The model is:

[0035]

[0036] In the formula, s sd Unit penalty cost for lost load; is the load loss of node d at time t.

[0037] Furthermore, in step S20, based on the relevant data, a comprehensive value measurement model of the electric-hydrogen coupling system taking into account external characteristics is constructed, and the comprehensive value measurement model of the electric-hydrogen coupling system is constructed by setting objective functions and constraints, and the constraints include: power supply and demand balance constraints, load loss constraints, thermal power unit output, start-stop and climbing constraints, wind turbine unit output constraints, hydrogen fuel cell constraints, electrolyzer constraints, flow constraints, energy storage constraints and standby constraints.

[0038] Furthermore, in step S30, by comparing the cost changes of the system before and after configuring the hydrogen energy system, the differences in fuel cost, start-stop cost, standby service cost, peak-shaving service cost, pollution emission cost, new energy power abandonment cost and load loss cost are specifically quantified.

[0039] The present invention also includes a device for measuring the comprehensive value of an electric-hydrogen coupling system, comprising:

[0040] A data acquisition module, used to acquire relevant data of the electric-hydrogen coupling system;

[0041] A model building module, for building a comprehensive value measurement model of the electric-hydrogen coupling system taking into account external characteristics based on the relevant data, wherein the comprehensive value measurement model of the electric-hydrogen coupling system sets an objective function and constraint conditions with the goal of minimizing the total operating cost of the electric-hydrogen coupling system;

[0042] A data input module, inputting the relevant data into the comprehensive value measurement model of the electric-hydrogen coupling system, and comparing the cost changes before and after the electric power system is coupled with hydrogen energy storage;

[0043] The evaluation module comprehensively evaluates the contribution of the electric-hydrogen coupling system in terms of economy, environmental benefits and grid stability based on the quantitative results of the comparison of the cost changes before and after the electric power system is coupled with hydrogen energy storage, and quantifies the comprehensive value of the electric-hydrogen coupling system.

[0044] The present invention also includes a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method described above is implemented.

[0045] The present invention also includes a storage medium on which a computer program is stored. When the computer program is executed by a processor, the method described above is implemented.

[0046] The beneficial effects of the present invention are:

[0047] The present invention can reveal the value composition and specific flow of the electric-hydrogen coupling system, which will help improve energy utilization efficiency, reduce operating costs, improve system stability, and provide an important basis for optimizing the operating strategy and investment planning of the electric-hydrogen coupling system.

[0048] Comprehensively evaluating the performance of hydrogen energy systems in terms of economy, reliability and environmental friendliness will help to comprehensively examine their improvement in the efficiency of the power system, ensuring that while promoting energy transformation and enhancing energy efficiency, economic sustainable development and environmental protection are taken into account, thereby achieving optimization and upgrading of the energy system and long-term stable operation.

[0049] Through systematic value measurement and multi-dimensional cost quantification analysis, a scientific basis is provided for the optimization of operation strategies and investment planning of the electric-hydrogen coupling system, helping enterprises and decision makers to better plan and make investment decisions, and facilitating the promotion and application of the electric-hydrogen coupling system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 It is a flow chart of the comprehensive value measurement method of the electric-hydrogen coupling system;

[0052] Figure 2 This is a schematic diagram of the structure of the electric-hydrogen coupling system;

[0053] Figure 3 It is a schematic diagram of system electric load and wind power forecast output;

[0054] Figure 4(a) is a schematic diagram of the capacity status of the self-built energy storage of the wind farm at each time in scenario 4;

[0055] Figure 4(b) is a schematic diagram of the capacity state of hydrogen energy storage at each time in scenario 4;

[0056] Figure 5 This is a schematic diagram of the comprehensive value flow in the case of self-built energy storage in wind farms;

[0057] Figure 6 It is a schematic diagram of the comprehensive value flow under the hydrogen energy storage case;

[0058] Figure 7A schematic diagram of the comprehensive value flow under the cases of self-built energy storage and hydrogen energy storage at wind farms;

[0059] Figure 8(a) is a schematic diagram of the output of traditional coal-fired units and wind farm self-built energy storage in Case 1;

[0060] Figure 8(b) is a schematic diagram of the output of the traditional coal-fired unit and hydrogen energy storage in Case 2;

[0061] Figure 8(c) is a schematic diagram of the output of traditional coal-fired units, wind farm self-built energy storage, and hydrogen energy storage in Case 3;

[0062] Fig. 9 Schematic diagram of total power generation of traditional coal-fired units under scenarios 1 to 4;

[0063] Figure 10(a) is a schematic diagram of the system backup service capacity composition in scenario 2;

[0064] Figure 10(b) is a schematic diagram of the system backup service capacity composition in scenario 3;

[0065] Figure 10(c) is a schematic diagram of the composition of the system's spare service capacity in scenario 4;

[0066] Fig.11 It is a schematic diagram of the structure of the comprehensive value measurement device of the electric-hydrogen coupling system;

[0067] Fig.12 A schematic diagram of the structure of a computer device. DETAILED DESCRIPTION

[0068] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0069] Embodiment 1:

[0070] like Figure 1 As shown, the present invention relates to a method for measuring the comprehensive value of an electric-hydrogen coupling system, comprising the following steps:

[0071] S10: Acquire relevant data of the electric-hydrogen coupling system;

[0072] S20: Based on relevant data, a comprehensive value measurement model of the electric-hydrogen coupling system is constructed that takes external characteristics into consideration. The comprehensive value measurement model of the electric-hydrogen coupling system sets the objective function and constraints, and takes the minimum total operating cost of the electric-hydrogen coupling system as the goal; thus, the comprehensive value of the electric-hydrogen coupling system is accurately quantified;

[0073] S30: Input relevant data into the comprehensive value measurement model of the electric-hydrogen coupling system to compare the cost changes before and after the electric power system is coupled with hydrogen energy storage;

[0074] S40: Based on the quantitative results of the cost changes before and after the power system is coupled with hydrogen energy storage, the contribution of the electric-hydrogen coupling system in terms of economy, environmental benefits and grid stability is comprehensively evaluated, and the comprehensive value of the electric-hydrogen coupling system is quantified. This provides a decision-making basis for optimizing the operation strategy and investment planning of the electric-hydrogen coupling system.

[0075] By constructing a comprehensive value measurement model for the electricity-hydrogen coupling system that takes external characteristics into consideration, the external benefits of the system can be quantified, including the environmental impact brought about by the consumption of new energy and the improvement of grid stability through peak-shaving services. The quantification of externality value helps to more comprehensively evaluate the overall benefits of the electricity-hydrogen coupling system and make up for the shortcomings of existing methods.

[0076] Being able to quantify the changes in various costs before and after the configuration of the hydrogen energy system will help clarify the optimization effects of the hydrogen energy system on fuel consumption, new energy absorption, carbon emissions, etc., and can reveal the value composition and specific flow of the electric-hydrogen coupling system, which will help improve energy utilization efficiency, reduce operating costs, and improve system stability, thereby providing a more scientific basis for subsequent investment planning.

[0077] It can comprehensively quantify the comprehensive value of the electric-hydrogen coupling system, covering economic benefits, environmental benefits and contribution to grid stability, providing a clear decision-making basis for system optimization operation and long-term investment planning, and improving the system's operability and economic benefits.

[0078] Through systematic value measurement and multi-dimensional cost quantification analysis, a scientific basis is provided for the optimization of operation strategies and investment planning of the electric-hydrogen coupling system, helping enterprises and decision makers to better plan and make investment decisions, and facilitating the promotion and application of the electric-hydrogen coupling system.

[0079] As a preferred embodiment of the above, in step S10, in the study of the electric hydrogen coupling system, the relevant data include: hydrogen energy storage capacity, hydrogen charging and discharging efficiency, upper and lower limits of hydrogen storage, maximum hydrogen charging and discharging power, hydrogen fuel cell power generation efficiency, rated power and maximum input power of alkaline electrolyzer, new energy output and load forecast curve, start-up and shutdown cost of thermal power units and quadratic function coefficient of power generation cost. This makes the data collection process clearly instructive. This clear definition can ensure the comprehensiveness and accuracy of the data and provide a reliable basis for subsequent model construction and value assessment; the data content in step S10 is further refined to ensure that key data in multiple dimensions from hydrogen energy storage to start-up and shutdown cost of thermal power units, power generation efficiency, etc. are fully covered. This diversity of data dimensions helps the system to optimize and analyze under a variety of complex conditions.

[0080] In this embodiment, in step S20, the total operating cost includes: fuel cost of thermal power units, start-up and shutdown costs of thermal power units, standby service costs, peak-shaving service costs, pollution costs, new energy abandonment costs and load loss costs. This makes the operating cost assessment of the electric-hydrogen coupling system more accurate and specific, helps to better understand and quantify the cost structure of various aspects of the system, and lays a solid foundation for subsequent optimization and evaluation; by specifically listing multiple costs of system operation, the model can adapt to more complex operating environments and changing electricity market demands, whether it is the start-up and shutdown and peak-shaving of thermal power units, or standby services and pollution management, the listing of these costs enables the model to flexibly adapt to different operating conditions, ensuring cost optimization and benefit improvement of the electric-hydrogen coupling system in different scenarios.

[0081] As a preferred embodiment of the above, in step S20, based on relevant data, a comprehensive value measurement model of the electric-hydrogen coupling system considering external characteristics is constructed. The comprehensive value measurement model of the electric-hydrogen coupling system sets an objective function and constraints. The objective function is based on the total operating cost C of the electric-hydrogen coupling system. zong The minimum target is the total operating cost C zong The model is:

[0082]

[0083] In the formula, is the fuel cost of the thermal power unit at time t, is the start-up and shutdown cost of the thermal power unit at time t, is the backup service cost at time t, is the peak load service cost at time t, is the pollution discharge cost at time t, is the cost of renewable energy curtailment at time t, is the load loss cost at time t.

[0084] By setting the objective function to minimize the total operating cost of the electric-hydrogen coupling system, the model can comprehensively analyze various cost sources such as thermal power units, standby services, peak-shaving services, and pollution discharge. By minimizing these costs, the overall operating efficiency of the system can be significantly improved, ensuring the optimal utilization of resources and reducing the overall operating costs of the system; by clarifying the composition of the total operating cost, the model can evaluate and optimize the system from multiple angles to ensure that different types of costs are comprehensively measured and controlled.

[0085] Among them, the fuel cost of thermal power units The model is:

[0086]

[0087] In the formula, is the fuel price of thermal power unit g, is the heat rate curve of thermal power unit g, is the output of thermal power unit g at time t.

[0088] By combining fuel prices, heat consumption curves and the actual output of thermal power units, the model can accurately calculate the fuel cost of thermal power units at each moment, which helps to optimize the operating costs of thermal power units and ensure the economy of system operation; the introduction of heat consumption curves can better reflect the fuel efficiency of thermal power units, especially at different output levels. By combining heat consumption curves, the model can optimize the fuel efficiency under different output conditions to ensure that thermal power units operate at optimal efficiency; by accurately calculating fuel costs, the model provides strong support for the scheduling of the electric-hydrogen coupling system. The scheduling system can flexibly adjust the output of thermal power units according to changes in fuel costs to ensure that fuel consumption is minimized while meeting electricity demand.

[0089] In this embodiment, the start-up and shutdown cost of the thermal power unit is The model is:

[0090]

[0091] In the formula, GU g,t , GD g,t are the start-up and shutdown costs of thermal power unit g at time t, is the fuel price of thermal power unit g.

[0092] The model divides the start-stop costs into two parts, start-up and stop, and quantifies the start-stop costs of thermal power units respectively, which helps to more accurately evaluate the costs of thermal power units in different operating conditions and avoid unnecessary economic losses caused by frequent start-stops. By accurately calculating the start-stop costs, the model can provide a scientific basis for the start-stop decisions of thermal power units. The dispatching system can flexibly adjust the start-stop strategies of thermal power units according to changes in start-stop costs, avoid unnecessary start-stop behaviors, and reduce fuel consumption and operating costs.

[0093] As a preferred embodiment of the above, the standby service cost The model is:

[0094]

[0095] In the formula, s G,xby Unit cost for spinning reserve service, s G,rby The unit cost of serving hot standby, is the spinning reserve service capacity of thermal power unit g at time t, is the hot standby service capacity of thermal power unit g at time t.

[0096] By clarifying the unit cost and reserve capacity of the reserve service, the model can accurately calculate the cost of the thermal power unit in providing rotating reserve services, so that the dispatching system can more accurately evaluate the economic expenditure of the system in providing reserve services, thereby making better resource optimization allocation; by quantifying the cost of reserve services, the system can flexibly adjust the output of thermal power units according to different reserve service demands and optimize the supply of reserve services in different time periods, which not only reduces unnecessary reserve capacity provision, but also avoids the additional economic expenditure caused by excessive reserve.

[0097] In this embodiment, the peak load service cost The model is:

[0098]

[0099] In the formula, s G,xby The unit cost of peak load shaving service, It is the peak load service capacity of thermal power unit g at time t.

[0100] By combining the unit cost of peak-shaving service with the peak-shaving service capacity of thermal power units, the model can accurately calculate the cost of thermal power units in providing peak-shaving services, allowing system dispatchers to more accurately evaluate the economic expenditure of peak-shaving services and thus optimize the system's dispatching strategy; by quantifying the cost of peak-shaving services, the dispatching system can optimize peak-shaving services at different time periods, allowing thermal power units to provide necessary peak-shaving services during peak load periods, avoiding unnecessary power generation expenses, and thus improving the overall economic benefits of the system.

[0101] Among them, the cost of sewage discharge The model is:

[0102]

[0103] In the formula, is the unit emission cost of pollutant j; E j,t is the emission of pollutant j discharged by thermal power units.

[0104] By quantifying the cost of pollution discharge, managers can adjust the operation strategy of thermal power units according to the emission cost, reduce the output at high emission loads, optimize fuel efficiency, thereby reducing emissions and reducing pollution discharge costs. This can effectively promote more environmentally friendly power generation methods and reduce negative impacts on the environment.

[0105] In this embodiment, the cost of abandoned electricity from new energy is The model is:

[0106]

[0107] In the formula, s qdPenalty costs for units that curtail electricity; is the maximum output power of the wind farm w; is the actual output power of the wind farm w.

[0108] By combining the unit penalty cost of power abandonment with the actual amount of power abandoned by the wind farm, the model can accurately calculate the economic losses caused by power abandonment, providing a scientific basis for the power system in the dispatching process, helping to reduce the waste of new energy and improve the utilization rate of new energy.

[0109] Among them, the loss of load cost The model is:

[0110]

[0111] In the formula, s sd Unit penalty cost for lost load; is the load loss of node d at time t.

[0112] By incorporating the load loss penalty cost into the system's overall cost model, the system can pay more attention to the stability of power supply and reduce unnecessary load loss. This incentive mechanism encourages system managers to strengthen load scheduling management and optimize the balance of power supply and demand, thereby improving the reliability and stability of the system.

[0113] As a preferred embodiment of the above, in step S20, based on relevant data, a comprehensive value measurement model of the electric-hydrogen coupling system taking into account external characteristics is constructed. The comprehensive value measurement model of the electric-hydrogen coupling system is constructed by setting objective functions and constraints. The constraints include: power supply and demand balance constraints, load loss constraints, thermal power unit output, start-stop and climbing constraints, wind turbine unit output constraints, hydrogen fuel cell constraints, electrolyzer constraints, flow constraints, energy storage constraints and standby constraints.

[0114] By constructing a comprehensive value measurement model and taking into account multiple constraints, the solution not only optimizes the economy of the system, but also fully considers the environmental benefits of the energy system. By rationally scheduling thermal power and renewable energy, the model can reduce carbon emissions and reduce the operating costs of the system, achieving a win-win situation in economic and environmental benefits.

[0115] In this embodiment, the power supply and demand balance constraints include:

[0116]

[0117] In the formula, is the output of thermal power unit g at time t, is the actual output power of the wind farm w, are the charging and discharging power of the energy storage at time t, is the output power of hydrogen fuel cell r at time t, F b,t is the line flow connecting node b at time t, is the load size of node d at time t, is the load loss of node d at time t, is the input power of electrolytic cell c at time t.

[0118] Among them, the load loss constraint The model is:

[0119]

[0120] In the formula, is the upper limit of the load loss of node d at time t.

[0121] In this embodiment, the models of output, start / stop and ramp constraints of thermal power units include:

[0122]

[0123] In the formula, is the output of thermal power unit g at time t, are the load-up and load-down reserve powers provided by thermal power unit g at time t, is the hot standby service capacity of thermal power unit g at time t, is the start-stop state variable of thermal power unit g at time t, are the start-up and shutdown command states of thermal power unit g at time t, are the maximum upward and downward climbing capabilities of the thermal power unit g per unit time, are the starting power and stopping power of thermal power unit g respectively, are the maximum and minimum output power of thermal power unit g respectively.

[0124] Among them, wind turbine output constraints The model is:

[0125]

[0126] In the formula, is the maximum output power of the wind farm w.

[0127] In this embodiment, the hydrogen fuel cell constraint The model is:

[0128]

[0129] In the formula, is the upper limit of the output power of the hydrogen fuel cell r.

[0130] In this embodiment, the electrolytic cell constraints The model is:

[0131]

[0132] In the formula, is the upper limit of the input power of electrolytic cell c.

[0133] Among them, the power flow constraints include:

[0134]

[0135] In the formula, F b,t is the line power flow connecting node b at time t, F l max is the power flow limit of line l; B l is the reactance of line l, are the phase angles of the nodes at both ends of line l, θ b,t is the phase angle of node b at time t, are the upper and lower limits of the phase angle of node b respectively.

[0136] In this embodiment, the energy storage constraint model includes:

[0137]

[0138] In the formula, are the charging and discharging power of the energy storage at time t, is the maximum input and output power of energy storage w, are the charge and discharge state variables of the energy storage w at time t, which are 0-1 variables, and H w,t is the energy stored in the energy storage w at time t, are the charging and discharging efficiencies of the energy storage w, are the upper and lower limits of the capacity of the energy storage w respectively.

[0139] Among them, the model of backup constraints includes:

[0140]

[0141]

[0142] In the formula, are the upward, downward and spinning reserves provided by the energy storage system, ε up , ε dn are the reserve up-regulation and down-regulation capacity factors required for the electric-hydrogen coupling system, ε sg To lower the emergency reserve capacity factor, is the load size of node d at time t.

[0143] As a preferred embodiment of the above embodiment, in step S30, by comparing the changes in various costs of the system before and after the configuration of the hydrogen energy system, the differences in fuel cost, start-stop cost, standby service cost, peak-shaving service cost, pollution emission cost, new energy power abandonment cost and load loss cost are specifically quantified; the various operating data and core performance indicators of the electric-hydrogen coupling system obtained are input into the comprehensive value measurement model of the electric-hydrogen coupling system considering external characteristics, and solved using a commercial solver. Through this model, the comprehensive value of the electric-hydrogen coupling system can be systematically quantified; by conducting a detailed comparative analysis of various costs before and after the configuration of the hydrogen energy system, the differences in parameters such as the system fuel cost, start-stop cost, standby service cost, peak-shaving service cost, pollution emission cost, new energy power abandonment cost and load loss cost before and after the system realizes electric-hydrogen coupling are accurately calculated, thereby providing data support and theoretical basis for the subsequent quantification of the comprehensive value of the electric-hydrogen coupling system.

[0144] Among them, in step S40, based on the quantitative results of the cost changes of the system before and after the configuration of the hydrogen energy system, the value contribution of the electric-hydrogen coupling system in key areas such as energy cost, start-up and shutdown cost, grid stability and peak-shaving capacity, environmental impact, new energy utilization efficiency and power supply stability can be accurately quantified; comprehensive evaluation of the performance of the electric-hydrogen coupling system in terms of economy, reliability and environmental friendliness will help to comprehensively examine its improvement in the efficiency of the power system, ensuring that while promoting energy transformation and enhancing energy utilization efficiency, it also takes into account economic sustainable development and environmental protection, thereby achieving optimization and upgrading of the energy system and long-term stable operation.

[0145] like Figure 2 As shown, the present invention provides a schematic diagram of an electric-hydrogen coupling system, which is composed of a thermal power unit, a wind power unit, a hydrogen storage tank, an electrolyzer and a hydrogen fuel cell. The system realizes the mutual conversion of hydrogen energy and electric energy through the electrolyzer and the fuel cell.

[0146] Embodiment 2:

[0147] In this section, the self-built energy storage capacity of the wind farm is 90.44MWh, and the hydrogen energy storage capacity is 891.51MWh. Four typical days are selected to represent each season. The system load and wind farm forecast output are as follows: Figure 3 As shown, other important parameters of the system are shown in Table 1 and Table 2.

[0148] Table 1 Parameters of traditional thermal power units

[0149]

[0150]

[0151] Table 2 Other system parameters

[0152]

[0153] Four scenarios were set up to explore the impact of renewable energy on the comprehensive value of energy storage by conducting a pairwise comparative analysis of the system's operating costs; Scenario 1: Renewable energy is connected to the system without considering any form of energy storage; Scenario 2: Renewable energy and self-built energy storage are connected to the system; Scenario 3: Renewable energy is connected to the system and hydrogen energy storage is configured; Scenario 4: Renewable energy and self-built energy storage are connected to the system, and hydrogen storage is configured.

[0154] The collected data from each scenario is input into the comprehensive value measurement model of the electric-hydrogen coupling system considering external characteristics, and the model is solved using the gurobi solver. Then, the cost changes of the system before and after the configuration of the hydrogen energy system are compared to quantify the comprehensive value of the hydrogen energy system. The system operating costs under the four scenarios are shown in Table 3.

[0155] Table 3 Four scenarios

[0156] scene Self-built energy storage Hydrogen Energy Storage Cost / 10,000 yuan Reduction ratio 1 × × 36.77 — 2 √ × 26.56 27.76％ 3 × √ 9.86 73.18％ 4 √ √ 4.24 88.47％

[0157] The operating costs of the system in scenarios 1, 2, 3 and 4 are 367,700 yuan, 265,600 yuan, 98,600 yuan and 42,400 yuan respectively. When the wind farm's self-built energy storage is connected to the system containing renewable energy, the system operating cost is reduced by 27.76%, when the hydrogen energy storage is connected to the system containing renewable energy, the system operating cost is reduced by 73.18%, and when the wind farm's self-built energy storage and hydrogen energy storage are connected to the system containing renewable energy at the same time, the system operating cost is reduced by 88.47%. The capacity status of the wind farm's self-built energy storage and hydrogen energy storage at each moment in scenario 4 is further plotted as shown in Figure 4 (a) and Figure 4 (b).

[0158] As shown in Figure 4(a) and Figure 4(b), when the wind farm's self-built energy storage and hydrogen energy storage are connected to the system containing renewable energy at the same time, the wind farm's self-built energy storage is mainly used for short-term energy transfer, that is, charging and discharging. At the same time, due to the limitation of the wind farm's self-built energy storage capacity, it stores less electricity at each moment, and the instantaneous discharge is also less. Unlike the wind farm's self-built energy storage, hydrogen energy storage is mainly used for seasonal electricity transfer. When the output of new energy is large from January to April, the hydrogen energy storage system converts electricity into hydrogen and stores it in the gas tank; when the output of new energy decreases from May to August, the hydrogen energy storage system converts the stored hydrogen into electricity through hydrogen fuel cells to meet the system supply and demand balance. The wind farm's self-built energy storage and hydrogen energy storage are connected to the system containing renewable energy at the same time, which enhances the system's long-term and short-term regulation capabilities and greatly reduces the system's operating costs, which brings more comprehensive value.

[0159] A comprehensive value measurement model for hydrogen energy systems in electric-hydrogen coupling systems that considers external characteristics is used to further analyze the cost reduction of the energy storage system, that is, the comprehensive value of the hydrogen energy system. For the sake of convenience, the comprehensive value scenario of self-built energy storage in wind farms in renewable energy systems obtained by comparing the costs of Scenario 1 and Scenario 2 is referred to as Case 1; the comprehensive value scenario of hydrogen energy storage in renewable energy systems obtained by comparing the costs of Scenario 1 and Scenario 3 is referred to as Case 2; the comprehensive value scenario of multi-type energy storage in renewable energy systems obtained by comparing the costs of Scenario 1 and Scenario 4 is referred to as Case 3. The comprehensive value of energy storage under the three cases and the composition and flow of the comprehensive value are as follows. Figure 5-Figure 7 shown.

[0160] In Case 1, the comprehensive value of the wind farm's self-built energy storage mainly consists of the pollution cost value, the reduction of unit operation cost value, and the reduction of standby service cost value, and their comprehensive values ​​account for 43.59%, 42.71% and 61.92% of their respective value parts. Among them, in the environmental cost value, SO2, NOx, and TSP emissions were reduced by 32.67%, 33.51%, and 33.82% respectively; in terms of the unit operation cost value, after the wind farm's self-built energy storage is connected, the output of traditional coal-fired units is greatly reduced. When renewable energy and energy storage cannot meet the real-time power balance of the system, traditional coal-fired units are turned on. Therefore, the wind farm's self-built energy storage is connected to a high-proportion renewable energy system, which generates a positive reduction in unit fuel value and a negative unit start-up and shutdown value, but the value of the traditional coal-fired unit operation cost generated is still positive.

[0161] Under Case 2, the comprehensive value of hydrogen energy storage still mainly consists of the loss of load value, pollution cost value, reduction of unit operating cost value, and reduction of standby service cost value, and their comprehensive values ​​account for 97.47%, 91.17%, 90.13% and 66.75% of their respective value parts. Among them, in the pollution cost value, SO2, NOx, and TSP emissions were reduced by 33.34%, 46.43%, and 20.22% respectively; the unit operating cost value is mainly reflected in the reduction of unit combustion value. Compared with Case 1, the comprehensive value of hydrogen energy storage is greater than the comprehensive value of self-built energy storage in wind farms, and its value is 269,100 yuan. In terms of the value of unit operating cost, after hydrogen energy storage is connected, Case 1 is the same as Case 2, which produces a positive reduction in unit fuel value and a negative unit start-stop value, but the negative unit start-stop value of Case 2 is reduced by 40.61% compared with Case 1. Since the operating cost of hydrogen energy storage system is relatively high, it is not suitable to charge and discharge frequently, which results in -16.94% of the new energy abandoned electricity value. In terms of pollution discharge cost value and unit operation cost reduction value, the comprehensive value of hydrogen energy storage is more than double that of wind farm self-built energy storage.

[0162] Under Case 3, the comprehensive value of wind farm self-built energy storage and hydrogen energy storage is also mainly reflected in the value of load loss, pollution cost value, reduction of unit operation cost value, and reduction of standby service cost value. Their contribution values ​​account for 100%, 96.63%, 95.58%, and 70.54% of their respective value parts, respectively. Among them, in the pollution cost value, SO2, NOx, and TSP emissions are reduced by 33.39%, 46.42%, and 20.19%, respectively; the unit operation cost value is still reflected in the reduction of unit combustion value. Compared with Scheme 2, the comprehensive value of wind farm self-built energy storage and hydrogen energy storage is greater than the comprehensive value of hydrogen energy storage, and its value is 325,200 yuan. Compared with Case 1 and Case 2, the wind farm self-built energy storage and hydrogen energy storage are simultaneously connected to a high proportion of renewable energy power system. The negative start-stop value of traditional coal-fired units in Case 3 is reduced to 23.12%, and the value of new energy abandonment is 29.93%. In terms of the value of pollution discharge costs, the value of reducing unit operating costs, and the value of reducing standby service costs, the comprehensive value of wind farm self-built energy storage and hydrogen energy storage is 5.99%, 6.37%, and 5.67% higher than the comprehensive value of hydrogen energy storage, respectively.

[0163] The main difference between Case 3 and Case 1 is the access to large-capacity renewable energy generators. In Scenario 2, where the renewable energy power station is equipped with self-built energy storage, there are seasonal differences in the medium- and long-term output of wind turbines. Figure 3 In the first stage of the process, due to the characteristics of energy storage and storage capacity limitations, self-built energy storage can only improve the consumption of new energy through short-term charging and discharging. When the local self-built energy storage cannot directly consume, power abandonment will occur. When the renewable energy power station is low-power and the load is large (such as Figure 3 In the second stage), due to capacity limitations of self-built energy storage and climbing limitations of thermal power units, they will not be able to meet the system's peak-shaving needs. In order to meet the real-time balance characteristics of power supply and demand, load shedding will occur. Obviously, this will increase the system's load shedding cost. From the results of Case 1, if an energy storage system with medium- and long-term storage characteristics can be reasonably configured, the electricity generated by renewable energy that cannot be consumed locally will be stored. When the electricity demand increases, the energy storage system will supply electricity through discharge operation to meet the electricity demand of nearby nodes, thereby reducing the situation of power abandonment and load shedding, and reducing the cost of power abandonment and load shedding.

[0164] The main difference between Case 3 and Case 2 lies in the access of large-capacity renewable energy generators. In Scenario 3 with hydrogen energy storage, the electricity produced by wind turbines needs to be consumed in real time. Therefore, the hydrogen energy storage system must not only ensure the real-time balance of electricity supply and demand, but also bear the seasonal consumption of renewable energy. In other words, hydrogen energy storage must bear both short-term and medium- and long-term electricity transfers. Therefore, the operating cost of hydrogen energy storage required for Scenario 3 with hydrogen energy storage is 38.56% more than that for Scenario 4 with both local self-built energy storage and hydrogen energy storage.

[0165] In addition, in case 1, the backup service value of local self-built energy storage accounts for 37.95% of the total value of system backup services, in case 2, the backup service value of hydrogen energy storage accounts for 75.42% of the total value of system backup services, and in case 3, the backup service values ​​of local self-built energy storage and hydrogen energy storage account for 15.46% and 71.19% of the total value of system backup services, respectively. Whether comparing case 1 with case 2 or in case 3, the backup service provided by local self-built energy storage is less than that provided by hydrogen energy storage. The reason is that in order to help absorb more renewable energy, the hydrogen energy storage system plays a role in seasonal charging and discharging operation and provides more power services.

[0166] In terms of peak-shaving service value, this article calculates the cost of deep peak-shaving services. The peak-shaving service values ​​generated in Cases 1 to 3 are 71.17%, 84.66% and 89.00% respectively. The main reason is that the hydrogen energy storage system and the self-built energy storage of the wind farm are coordinated. The self-built energy storage of the wind farm can meet the short-term peak-shaving service needs of the system, and the hydrogen energy storage system can meet the seasonal peak-shaving needs of the system. Therefore, the peak-shaving service value in Case 3 is the greatest.

[0167] Next, this article analyzes the sub-item value of energy storage in combination with the operation of traditional coal-fired units and energy storage, including the value of reducing the fuel value of traditional units and the value of spare capacity.

[0168] (1) Reduce the fuel value of traditional units

[0169] Figure 8(a) to Figure 8(c) The output of traditional coal-fired units and the charging and discharging operation of energy storage systems in Case 1-Case 3 are shown. When the energy storage is charging, the value is negative, and its value represents the charging power at that moment. When the energy storage is discharging, the value is positive, and its value represents the discharging power. Figure 8(a) to Figure 8(c)As shown in the figure, in the three cases, the access to the energy storage system has reduced the maximum power generation capacity of the traditional coal-fired units. In Case 1, the wind farm's self-built energy storage system charges when the renewable energy output is large and the load is low, and discharges when the renewable energy output is small and the load is high. This operation mode smoothes the fluctuation of renewable energy output, which reduces the power generation capacity of the traditional coal-fired units. In Case 2, the hydrogen energy storage system charges when the renewable energy output is generally large and the load is generally low, and discharges when the renewable energy output is generally small and the load is generally high. This energy storage operation mode realizes the seasonal transfer of renewable energy output, which is significantly lower than the power generation capacity of the traditional coal-fired units in Case 1. Combining the characteristics of wind farm self-built energy storage to smooth short-term fluctuations in renewable energy output and seasonal transfer of hydrogen energy storage system energy, Case 3 configures two energy storage methods, wind farm self-built energy storage and hydrogen energy storage, which further reduces the power generation capacity of traditional coal-fired units.

[0170] In general, even if energy storage needs to provide backup services, it still has the characteristics of "low storage and high discharge" during charging and discharging operation, that is, charging and storing energy during low electricity consumption, and discharging and releasing energy during peak electricity consumption. Therefore, from the output curve of traditional coal-fired power generation units, the energy storage system significantly reduces the load peak borne by traditional coal-fired units, reduces the peak-to-valley difference, and enables traditional coal-fired units to operate in a more economical and efficient state. Figure 3 -8 is the total power generation change of traditional coal-fired units under scenarios 1 to 4, which can well demonstrate the benefits that energy storage brings to traditional coal-fired units.

[0171] like Fig. 9As shown in the figure, in scenario 2, after the wind farm’s self-built energy storage is connected, the total power generation of traditional coal-fired units G1 and G5 is reduced by 37.07% and 39.31% respectively compared with scenario 1. In scenario 3, after the hydrogen energy storage is connected, the total power generation of traditional coal-fired units is reduced by 76.84% compared with scenario 1, among which the total power generation of traditional coal-fired units G5 and G6 is reduced by 94.82% and 95.16% respectively compared with scenario 1. In scenario 4, after the wind farm’s self-built energy storage and hydrogen energy storage are configured simultaneously in the high-proportion renewable energy system, the total power generation of traditional coal-fired units is further reduced, among which traditional coal-fired units G3, G4, G5 and G6 are almost not working, and only traditional coal-fired unit G1 is working to ensure the real-time power balance of the system. Compared with cases 1 and 2, in case 3 where the wind farm’s self-built energy storage and hydrogen energy storage are simultaneously connected to the high-proportion renewable energy system, the utility of the energy storage system in reducing the power generation of traditional coal-fired units is more obvious. This is because after a high proportion of renewable energy is connected, in order to ensure the balance of power supply and demand and the safe and stable operation of the system, most traditional coal-fired units will adjust their output to keep their unit coal consumption away from the minimum coal consumption point. After the wind farm's self-built energy storage and hydrogen energy storage are connected at the same time, it can not only alleviate the imbalance of short-term power supply and demand, but also alleviate the power imbalance problem of medium- and long-term power supply and demand, further reduce the value of new energy power abandonment and load loss, and further reduce the output of traditional generators to achieve the effect of global balance.

[0172] (2) Backup service value

[0173] The dispatch results of the backup services of traditional coal-fired units and energy storage systems in scenarios 2-4 are as follows Figure 10(a) to Figure 10(c) As shown. In scenario 2, the system backup service capacity is basically provided by the wind farm's self-built energy storage system; in scenario 3, the backup service capacity provided by traditional coal-fired units and hydrogen energy storage systems account for 27.10% and 72.90% respectively; in scenario 4, the backup service capacity provided by traditional coal-fired units, wind farm self-built energy storage, and hydrogen energy storage systems account for 22.86%, 9.92 and 67.22% respectively. The above three scenarios show that the configuration and operation of the energy storage system significantly reduces the grid's backup service compensation costs to power generation companies and improves the operating efficiency of power grid companies. For traditional power generation companies, the situation of maintaining low-load operation in order to provide a large amount of backup services has also been alleviated to a certain extent, improving the operating efficiency of the unit, reducing the unit coal consumption of the unit, delaying equipment aging, and having significant positive externality value.

[0174] The present invention also includes a device for measuring the comprehensive value of an electric-hydrogen coupling system, using the above method, such as Fig.11 As shown, including:

[0175] A data acquisition module, used to acquire relevant data of the electric-hydrogen coupling system;

[0176] The model building module is used to build a comprehensive value measurement model of the electric-hydrogen coupling system taking into account external characteristics based on relevant data. The comprehensive value measurement model of the electric-hydrogen coupling system sets the objective function and constraints to minimize the total operating cost of the electric-hydrogen coupling system;

[0177] The data input module inputs relevant data into the comprehensive value measurement model of the electric-hydrogen coupling system to compare the changes in various costs before and after the electric system is coupled with hydrogen energy storage;

[0178] The evaluation module comprehensively evaluates the contribution of the electric-hydrogen coupling system in terms of economy, environmental benefits and grid stability based on the quantitative results of the cost changes before and after the power system is coupled with hydrogen energy storage, and quantifies the comprehensive value of the electric-hydrogen coupling system.

[0179] The present invention also includes a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above method is implemented.

[0180] The present invention also includes a storage medium on which a computer program is stored. As a preferred embodiment of the above embodiment, the computer program implements the above method when executed by a processor.

[0181] See also Fig.12 A computer device 400 provided in an embodiment of the present application includes: a processor 410 and a memory 420, wherein the memory 420 stores a computer program executable by the processor 410, and when the computer program is executed by the processor 410, the above method is executed.

[0182] The embodiment of the present application further provides a storage medium 430 on which a computer program is stored. When the computer program is run by the processor 410, the above method is executed.

[0183] Among them, the storage medium 430 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable red-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, disk or optical disk.

[0184] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. "Multiple" means two or more, unless otherwise clearly and specifically defined.

[0185] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0186] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. 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 invention. 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 may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0187] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0188] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk 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 may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0189] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0190] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0191] 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 invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for measuring the comprehensive value of an electric-hydrogen coupling system, characterized in that: The steps include: S10: Acquire relevant data of the electric-hydrogen coupling system; S20: Based on the relevant data, construct a comprehensive value measurement model of the electric-hydrogen coupling system taking into account external characteristics, wherein the comprehensive value measurement model of the electric-hydrogen coupling system sets an objective function and constraint conditions with the goal of minimizing the total operating cost of the electric-hydrogen coupling system; S30: inputting the relevant data into the comprehensive value measurement model of the electric-hydrogen coupling system, and comparing the cost changes before and after the electric power system is coupled with hydrogen energy storage; S40: Based on the quantified results of the comparison of the cost changes before and after the power system is coupled with hydrogen energy storage, a comprehensive evaluation is made of the contribution of the electric-hydrogen coupling system in terms of economy, environmental benefits and grid stability, and the comprehensive value of the quantified electric-hydrogen coupling system is obtained.

2. The comprehensive value measurement method of the electric-hydrogen coupling system according to claim 1 is characterized in that: In step S10, the relevant data include: hydrogen energy storage capacity, hydrogen charging and discharging efficiency, upper and lower limits of hydrogen storage, maximum hydrogen charging and discharging power, hydrogen fuel cell power generation efficiency, rated power and maximum input power of alkaline electrolyzer, new energy output and load forecast curve, start-up and shutdown cost of thermal power units and quadratic function coefficient of power generation cost.

3. The comprehensive value measurement method of the electric-hydrogen coupling system according to claim 1 is characterized in that: In step S20, the total operating cost includes: fuel cost of thermal power units, start-up and shutdown cost of thermal power units, standby service cost, peak load service cost, pollution discharge cost, new energy power abandonment cost and load loss cost.

4. The comprehensive value measurement method of the electric-hydrogen coupling system according to claim 1 is characterized in that: In step S20, based on the relevant data, a comprehensive value measurement model of the electric-hydrogen coupling system considering external characteristics is constructed. The comprehensive value measurement model of the electric-hydrogen coupling system is constructed by setting an objective function and constraints. The objective function is based on the total operating cost C of the electric-hydrogen coupling system. zong The goal is to minimize the total operating cost C zong The model is: In the formula, is the fuel cost of the thermal power unit at time t, is the start-up and shutdown cost of thermal power units at time t, is the backup service cost at time t, is the peak load service cost at time t, is the pollution discharge cost at time t, is the cost of renewable energy curtailment at time t, is the load loss cost at time t.

5. The comprehensive value measurement method of the electric-hydrogen coupling system according to claim 4 is characterized in that: The fuel cost of thermal power units The model is: In the formula, is the fuel price of thermal power unit g, is the heat rate curve of thermal power unit g, is the output of thermal power unit g at time t.

6. The comprehensive value measurement method of the electric-hydrogen coupling system according to claim 4 is characterized in that: The start-up and shutdown costs of thermal power units The model is: In the formula, GU g,t , GD g,t are the start-up and shutdown costs of thermal power unit g at time t, is the fuel price of thermal power unit g.

7. The comprehensive value measurement method of the electric-hydrogen coupling system according to claim 4 is characterized in that: The backup service cost The model is: In the formula, s G,xby Unit cost for spinning reserve service, s G,rby The unit cost of serving hot standby, is the spinning reserve service capacity of thermal power unit g at time t, is the hot standby service capacity of thermal power unit g at time t.

8. The comprehensive value measurement method of the electric-hydrogen coupling system according to claim 4 is characterized in that: The peak load service cost The model is: In the formula, s G,xby The unit cost of peak load shaving service, It is the peak load service capacity of thermal power unit g at time t.

9. The method for measuring the comprehensive value of the electric-hydrogen coupling system according to claim 4, characterized in that: The cost of sewage discharge The model is: In the formula, is the unit emission cost of pollutant j; E j,t is the emission of pollutant j discharged by thermal power units.

10. The method for measuring the comprehensive value of the electric-hydrogen coupling system according to claim 4, characterized in that: The cost of abandoned electricity from new energy The model is: In the formula, s qd Penalty costs for units that curtail electricity; is the maximum output power of the wind farm w; is the actual output power of the wind farm w.

11. The comprehensive value measurement method of the electric-hydrogen coupling system according to claim 4 is characterized in that: Lost load cost The model is: In the formula, s sd Unit penalty cost for lost load; is the load loss of node d at time t.

12. The method for measuring the comprehensive value of the electric-hydrogen coupling system according to claim 1, characterized in that: In step S20, based on the relevant data, a comprehensive value measurement model of the electric-hydrogen coupling system taking into account external characteristics is constructed. The comprehensive value measurement model of the electric-hydrogen coupling system is constructed by setting objective functions and constraints. The constraints include: power supply and demand balance constraints, load loss constraints, thermal power unit output, start-stop and climbing constraints, wind turbine unit output constraints, hydrogen fuel cell constraints, electrolyzer constraints, flow constraints, energy storage constraints and standby constraints.

13. The comprehensive value measurement method of the electric-hydrogen coupling system according to claim 1 is characterized in that: In step S30, by comparing the cost changes of the system before and after configuring the hydrogen energy system, the differences in fuel cost, start-stop cost, standby service cost, peak-shaving service cost, pollution emission cost, new energy power abandonment cost and load loss cost are specifically quantified.

14. A device for measuring the comprehensive value of an electric-hydrogen coupling system, characterized in that: Use of the method according to any one of claims 1 to 13, comprising: A data acquisition module, used to acquire relevant data of the electric-hydrogen coupling system; A model building module, for building a comprehensive value measurement model of the electric-hydrogen coupling system taking into account external characteristics based on the relevant data, wherein the comprehensive value measurement model of the electric-hydrogen coupling system sets an objective function and constraint conditions with the goal of minimizing the total operating cost of the electric-hydrogen coupling system; A data input module, inputting the relevant data into the comprehensive value measurement model of the electric-hydrogen coupling system, and comparing the cost changes before and after the electric power system is coupled with hydrogen energy storage; The evaluation module comprehensively evaluates the contribution of the electric-hydrogen coupling system in terms of economy, environmental benefits and grid stability based on the quantitative results of the comparison of the cost changes before and after the electric power system is coupled with hydrogen energy storage, and quantifies the comprehensive value of the electric-hydrogen coupling system.

15. A computer device comprising a memory, a processor and a computer program stored in the memory 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 13 is implemented.

16. 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 13 is implemented.

Images