Photovoltaic power storage power and energy storage capacity configuration method and device

Abstract

The present invention discloses a photovoltaic power abandonment energy storage power and energy storage capacity configuration method and device, and relates to the field of power station energy storage technology. The photovoltaic power abandonment energy storage power and energy storage capacity configuration method applies several preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration schemes to a simulated photovoltaic energy storage system; obtains simulated operation data when each preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme is applied to a simulated photovoltaic energy storage system; determines the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme based on the simulated operation data, not only considering the benefits, but also optimizing the photovoltaic power station project parameters, and making the configuration method more comprehensively evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of power station energy storage, and in particular to a method and device for configuring photovoltaic power storage power and energy storage capacity. Background Art

[0002] Recently, multi-energy complementary integrated energy bases of "wind, solar, storage and transmission" with a capacity of millions or tens of millions of kilowatts have been launched in various parts of the country. The Chinese invention patent with announcement number CN114240104B discloses a method and device for configuring photovoltaic power abandonment energy storage power and energy storage capacity. The method includes: obtaining historical data of photovoltaic power station projects, and determining the recommended range of photovoltaic power abandonment energy storage power and the recommended range of energy storage capacity based on the historical data; obtaining the cost of energy storage power equipment and the cost of energy storage capacity equipment of the photovoltaic power station project; establishing a benefit-cost model based on the recommended range of photovoltaic power abandonment energy storage power, the recommended range of energy storage capacity, the cost of energy storage power equipment, and the cost of energy storage capacity equipment; determining the energy storage power and energy storage capacity corresponding to the maximum benefit of energy storage power generation based on the benefit-cost model. The method and device for configuring photovoltaic power abandonment energy storage power and energy storage capacity of the embodiments of the present application can optimize the configuration parameters of photovoltaic power station projects to maximize benefits.

[0003] Although the existing photovoltaic power storage power and energy storage capacity configuration methods can optimize the configuration parameters of photovoltaic power station projects and maximize the benefits, only the benefits are considered during the optimization process, and the evaluation of the configuration method is not comprehensive enough. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a method and device for configuring the power and storage capacity of photovoltaic power curtailment energy storage, which solves the problem that the method for configuring the power and storage capacity of photovoltaic power curtailment energy storage in the prior art can optimize the configuration parameters of the photovoltaic power station project and maximize the benefits, but only considers the benefits during the optimization process, and the evaluation of the configuration method is not comprehensive enough.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for configuring photovoltaic power abandonment energy storage power and energy storage capacity, comprising the following steps: applying a number of preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration schemes to a simulated photovoltaic energy storage system; obtaining simulated operation data when each preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme is applied to the simulated photovoltaic energy storage system, the simulated operation data including the operation data of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies the preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme, and the benefit data of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies the preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme; the operation data and benefit data are used as an analysis basis for determining the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme; and the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme is determined based on the simulated operation data.

[0006] Furthermore, the process of obtaining several preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration schemes is as follows: obtain the recommended range of photovoltaic power abandonment energy storage power and the recommended range of energy storage capacity stored in the database; based on the lowest value of the recommended range of photovoltaic power abandonment energy storage power as a benchmark, set a photovoltaic power abandonment energy storage power combination point for each increase in the product of the lowest value of the recommended range of photovoltaic power abandonment energy storage power and a set ratio; based on the lowest value of the recommended range of energy storage capacity as a benchmark, set an energy storage capacity combination point for each increase in the product of the lowest value of the recommended range of energy storage capacity and a set ratio; determine the preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme based on the photovoltaic power abandonment energy storage power combination point and the energy storage capacity combination point.

[0007] Furthermore, the operating data includes the maximum energy that can be provided by the simulated photovoltaic energy storage system, the response time of the simulated photovoltaic energy storage system to a sudden load change, the efficiency of the simulated photovoltaic energy storage system at each sampling time point, the actual maximum load and rated power of the simulated photovoltaic energy storage system, and the cyclic stability of the simulated photovoltaic energy storage system; the maximum energy that can be provided by the simulated photovoltaic energy storage system, the response time of the simulated photovoltaic energy storage system to a sudden load change, the efficiency of the simulated photovoltaic energy storage system at each sampling time point, the actual maximum load and rated power of the simulated photovoltaic energy storage system, and the cyclic stability of the simulated photovoltaic energy storage system serve as an analysis basis for the operating stability of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system is applied to preliminarily simulate the photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme.

[0008] Furthermore, based on the maximum energy that can be provided by the simulated photovoltaic energy storage system, the response time of the simulated photovoltaic energy storage system to sudden load changes, the efficiency of the simulated photovoltaic energy storage system at each sampling time point, the actual maximum load and rated power of the simulated photovoltaic energy storage system, and the cyclic stability analysis of the simulated photovoltaic energy storage system, the process of simulating the stability of the operation of the photovoltaic energy storage system is as follows: obtain the predicted maximum energy demand during the maximum demand period of the simulated photovoltaic energy storage system, obtain the energy difference between the predicted maximum energy demand and the maximum energy that can be provided by the simulated photovoltaic energy storage system, and obtain the energy gap coefficient based on the ratio of the energy difference to the maximum energy that can be provided by the simulated photovoltaic energy storage system; obtain the simulated photovoltaic energy storage system to withstand The critical time of load change is obtained by obtaining the power response coefficient based on the ratio of the response time of the simulated photovoltaic energy storage system to the sudden load change and the critical time for the simulated photovoltaic energy storage system to withstand the load change; the average efficiency and efficiency standard deviation of the simulated photovoltaic energy storage system are obtained based on the efficiency of the simulated photovoltaic energy storage system at each sampling time point, and the efficiency variation coefficient is obtained based on the ratio of the efficiency standard deviation to the average efficiency; the overload capacity factor is obtained based on the ratio of the actual maximum load of the simulated photovoltaic energy storage system to the rated power; the energy gap coefficient, power response coefficient, efficiency variation coefficient, overload capacity factor and the cyclic stability analysis of the simulated photovoltaic energy storage system are integrated to determine the operational stability of the simulated photovoltaic energy storage system.

[0009] Furthermore, the benefit data include initial investment cost, operation and maintenance cost during simulated operation, energy saving benefit during simulated operation, policy incentives, depreciation and capital return rate, and expected life; the initial investment cost, operation and maintenance cost during simulated operation, energy saving benefit during simulated operation, policy incentives, depreciation and capital return rate, and expected life serve as an analysis basis for the benefit effect of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies a preliminary simulated photovoltaic power storage power and energy storage capacity configuration scheme.

[0010] Furthermore, the calculation formula for analyzing the benefit effect of the simulated photovoltaic energy storage system based on the initial investment cost, operation and maintenance costs during the simulated operation period, energy saving benefits during the simulated operation period, policy incentives, depreciation and capital return rate, and expected life is as follows:

[0011]

[0012] In the formula, E profit To simulate the benefits of the photovoltaic energy storage system, B ener gy is the energy saving benefit during the simulation operation, I incentive For policy incentives, C operating is the operation and maintenance cost during the simulation operation, r is the depreciation and capital return rate, n is the expected life, C initial is the initial investment cost.

[0013] Furthermore, the process of determining the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme based on the analysis of operation data and benefit data is as follows: obtaining the analysis results of the operation data and the analysis results of the benefit data; integrating the analysis results of the operation data and the analysis results of the benefit data to obtain a comprehensive evaluation index; sorting the comprehensive evaluation indexes corresponding to each preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme in order from large to small; and recording the preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme corresponding to the largest comprehensive evaluation index as the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme.

[0014] Furthermore, the calculation formula of the comprehensive evaluation index is:

[0015]

[0016] In the formula, Z is the comprehensive evaluation index, E profit To simulate the benefits of the photovoltaic energy storage system, S instability is the operation stability coefficient, which is the analysis result of the operation data.

[0017] A photovoltaic power abandonment energy storage power and energy storage capacity configuration device, comprising a processor; and a memory, wherein computer program instructions are stored in the memory, and when the computer program instructions are executed by the processor, the processor executes the photovoltaic power abandonment energy storage power and energy storage capacity configuration method as described above, and further comprises a simulation scheme acquisition module, a simulation data acquisition module and an optimal scheme determination module, wherein: the simulation scheme acquisition module is used to apply a plurality of preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration schemes to a simulated photovoltaic energy storage system; the simulation data acquisition module is used to obtain each preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme The simulated operation data when the configuration scheme is applied to the simulated photovoltaic energy storage system, the simulated operation data includes the operation data of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies the preliminary simulated photovoltaic abandoned power energy storage power and energy storage capacity configuration scheme, and the benefit data of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies the preliminary simulated photovoltaic abandoned power energy storage power and energy storage capacity configuration scheme; the operation data and benefit data are used as an analysis basis for determining the optimal simulated photovoltaic abandoned power energy storage power and energy storage capacity configuration scheme; the optimal scheme determination module is used to determine the optimal simulated photovoltaic abandoned power energy storage power and energy storage capacity configuration scheme based on the simulated operation data.

[0018] The present invention has the following beneficial effects:

[0019] This photovoltaic energy storage power and storage capacity configuration method sets multiple preliminary configuration schemes, uses simulation data for evaluation, selects the optimal configuration scheme, ensures the optimal performance and efficiency of the photovoltaic energy storage system under various operating conditions, and improves the energy utilization rate and economic return of the system. By comprehensively analyzing the operating data and benefit data, and using multi-dimensional indicators such as capacity decay rate and energy output stability, the stability and economic benefits of the photovoltaic energy storage system are comprehensively evaluated, ensuring the long-term reliability and economic feasibility of the system.

[0020] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a flow chart of the photovoltaic power storage power and energy storage capacity configuration method of the present invention.

[0022] Figure 2 The benefit function diagram of the photovoltaic energy storage system is simulated for the photovoltaic power storage power and energy storage capacity configuration method of the present invention.

[0023] Figure 3 This is a structural connection diagram of the photovoltaic power storage power and energy storage capacity configuration device of the present invention. DETAILED DESCRIPTION

[0024] The embodiments of the present application use a method and device for configuring photovoltaic power storage power and energy storage capacity, simulate multiple photovoltaic energy storage system solutions, and select the optimal configuration based on simulated operation data, so as to effectively reduce the power abandonment problem in photovoltaic power generation and improve the utilization efficiency of the energy storage system, thereby improving not only the energy utilization rate, but also the stability and reliability of the power grid.

[0025] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0026] Design several configuration schemes for photovoltaic energy storage systems, which include different energy storage power and capacity settings. Apply these schemes to the simulation system and collect data on the operating efficiency and effectiveness of each scheme. Based on the collected data, evaluate the performance of each configuration scheme, including its performance in reducing power curtailment and improving energy efficiency, and select the configuration scheme with the best performance for practical application.

[0027] By simulating multiple photovoltaic energy storage system solutions and selecting the optimal configuration based on simulated operation data, the problem of power abandonment in photovoltaic power generation can be effectively reduced and the efficiency of the energy storage system can be improved, which not only improves energy utilization but also enhances the stability and reliability of the power grid.

[0028] See also Figure 1The embodiment of the present invention provides a technical solution: a method for configuring photovoltaic power abandonment energy storage power and energy storage capacity, comprising the following steps: applying a number of preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration schemes to a simulated photovoltaic energy storage system; obtaining simulated operation data when each preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme is applied to the simulated photovoltaic energy storage system; and determining the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme based on the simulated operation data.

[0029] Specifically, the process of obtaining several preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration schemes is as follows: obtain the recommended range of photovoltaic power abandonment energy storage power and the recommended range of energy storage capacity stored in the database; based on the lowest value of the recommended range of photovoltaic power abandonment energy storage power as a benchmark, set a photovoltaic power abandonment energy storage power combination point for each increase in the product of the lowest value of the recommended range of photovoltaic power abandonment energy storage power and a set ratio; based on the lowest value of the recommended range of energy storage capacity as a benchmark, set an energy storage capacity combination point for each increase in the product of the lowest value of the recommended range of energy storage capacity and a set ratio; determine the preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme based on the photovoltaic power abandonment energy storage power combination point and the energy storage capacity combination point.

[0030] In this implementation, the power and capacity benchmarks are first determined, and then these parameters are gradually increased to generate multiple potential configurations. This phased approach allows for systematic exploration and evaluation of the effects of different configurations to more accurately match actual needs and conditions. Each option is evaluated based on its performance in a simulated environment to ensure that the selected option is not only technically feasible, but also optimized in terms of economy and environment.

[0031] By continuously adjusting and improving the solution through an iterative approach, the performance of the energy storage system can be fine-tuned to adapt to changing environmental and market conditions, which helps to continuously optimize the system configuration. In addition, by simulating different configuration solutions, it is possible to flexibly respond to climate change, seasonal fluctuations or changes in grid demand, thereby maintaining efficient operation of the system.

[0032] The process of determining the recommended range of photovoltaic power storage power and energy storage capacity is as follows: Collect photovoltaic power generation data in the past few years, including daily power generation, seasonal changes, etc., and collect grid demand data, including the impact of peak load periods, seasons, and weather conditions. Use statistical methods to analyze the changing trend of photovoltaic power generation, identify periods of high and low power generation, and determine the demand gap that the energy storage system needs to fill based on the relationship between grid demand and photovoltaic power generation. Establish a prediction model to predict future photovoltaic power generation based on historical weather data and photovoltaic performance parameters. The prediction model is a multivariate linear regression model. The historical weather data and photovoltaic performance parameters are input. The model training obtains the regression coefficients corresponding to each feature, and the future photovoltaic power generation is obtained based on the determined multivariate linear regression equation. At the same time, simulate the future changes in grid demand to predict demand peaks and troughs. According to the model output, determine the minimum and maximum demands that photovoltaic power storage power and energy storage capacity should cope with, and set the recommended range of power and capacity to cover the interval from the minimum demand to the predicted maximum demand.

[0033] Specifically, the simulated operation data includes the operation data of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies a preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme, and the benefit data of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies a preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme; the operation data and benefit data serve as the analysis basis for determining the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme.

[0034] In this implementation plan, a preliminary configuration scheme is used to run a simulated photovoltaic energy storage system to generate real-time operation data. Based on the collected operation and benefit data, the comprehensive performance of each scheme is analyzed, including comparing the energy efficiency, cost-effectiveness ratio and contribution to grid stability of each scheme. The configuration scheme with the best performance in multiple indicators is selected as the optimal scheme for practical application.

[0035] Through comprehensive analysis of operating data and benefit data, the actual effect of each configuration scheme can be evaluated more accurately, so as to make more scientific decisions. Based on the feedback of simulation data, the design of the energy storage system can be adjusted to optimize its performance, such as by adjusting the energy storage capacity or power setting to improve the system response speed and energy efficiency. Through the analysis of benefit data, the economic returns of different configuration schemes can be evaluated, and the scheme with the best cost-effectiveness ratio can be selected, thereby reducing operating costs and increasing economic benefits. The benefit data also includes environmental considerations, such as reduced carbon emissions, so that the scheme selection is not only in line with economic benefits, but also supports sustainable development goals.

[0036] Specifically, the operating data include the maximum energy that can be provided by the simulated photovoltaic energy storage system, the response time of the simulated photovoltaic energy storage system to a sudden load change, the efficiency of the simulated photovoltaic energy storage system at each sampling time point, the actual maximum load and rated power of the simulated photovoltaic energy storage system, and the cyclic stability of the simulated photovoltaic energy storage system; the maximum energy that can be provided by the simulated photovoltaic energy storage system, the response time of the simulated photovoltaic energy storage system to a sudden load change, the efficiency of the simulated photovoltaic energy storage system at each sampling time point, the actual maximum load and rated power of the simulated photovoltaic energy storage system, and the cyclic stability of the simulated photovoltaic energy storage system serve as an analysis basis for the operating stability of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system is applied to preliminarily simulate the photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme.

[0037] Based on the comprehensive evaluation of the simulated photovoltaic energy storage system, the configuration scheme is optimized to ensure that the system can operate efficiently and stably. By comprehensively considering various key operating parameters, the system performance can be fully evaluated, making the scheme selection and adjustment more scientific and accurate. The ability to quickly respond to load mutations helps to improve the system's adaptability to unstable grid conditions, enhance the stability of the grid, evaluate the system's ability to support the actual maximum load and rated power, and ensure reliable operation under high load conditions.

[0038] The maximum energy that the photovoltaic energy storage system can provide is simulated by simulating the operation of the system under ideal and extreme conditions, and the maximum energy output within a certain period of time is measured. The response time of the photovoltaic energy storage system to load mutations is simulated by simulating load mutations (such as rapid switching from low load to high load), and the time required for the system to respond stably is recorded using a timestamp. The efficiency of the photovoltaic energy storage system is simulated at each sampling time point by measuring the ratio of input energy to output energy at each sampling time point to calculate the energy conversion efficiency of the system. The actual maximum load of the photovoltaic energy storage system is simulated by gradually increasing the system load until it reaches the point where the system cannot operate stably, and this load value is recorded as the actual maximum load. The rated power is determined according to the manufacturer's design parameters. The cycle stability of the photovoltaic energy storage system is simulated by running the system for a long time, periodically measuring key performance parameters such as capacity decay rate, and expressing the capacity decay rate as the cycle stability of the simulated photovoltaic energy storage system.

[0039] Based on the maximum energy that can be provided by the simulated photovoltaic energy storage system, the response time of the simulated photovoltaic energy storage system to load mutations, the efficiency of the simulated photovoltaic energy storage system at each sampling time point, the actual maximum load and rated power of the simulated photovoltaic energy storage system, and the cycle stability analysis of the simulated photovoltaic energy storage system, the process of simulating the operation stability of the photovoltaic energy storage system is as follows: obtain the predicted maximum energy demand during the maximum demand period of the simulated photovoltaic energy storage system, obtain the energy difference between the predicted maximum energy demand and the maximum energy that can be provided by the simulated photovoltaic energy storage system, and obtain the energy gap coefficient based on the ratio of the energy difference to the maximum energy that can be provided by the simulated photovoltaic energy storage system; obtain the simulated photovoltaic energy storage system's ability to withstand load changes. The power response coefficient is obtained based on the ratio of the response time of the simulated photovoltaic energy storage system to load mutation and the critical time for the simulated photovoltaic energy storage system to withstand load changes; the average efficiency and efficiency standard deviation of the simulated photovoltaic energy storage system are obtained based on the efficiency of the simulated photovoltaic energy storage system at each sampling time point, and the efficiency variation coefficient is obtained based on the ratio of the efficiency standard deviation to the average efficiency; the overload capacity factor is obtained based on the ratio of the actual maximum load of the simulated photovoltaic energy storage system to the rated power; the energy gap coefficient, power response coefficient, efficiency variation coefficient, overload capacity factor and cyclic stability analysis of the simulated photovoltaic energy storage system are integrated to determine the operational stability of the simulated photovoltaic energy storage system.

[0040] Compare the gap between the maximum energy that the system can provide during the maximum demand period and the predicted maximum energy demand to evaluate whether the system can meet the peak energy demand. The key to measuring the ratio of the system's response speed to a sudden load change and the critical time for the system to withstand this change is to evaluate the system's dynamic response capability. Evaluate the consistency and stability of the system's efficiency by calculating the ratio of the standard deviation of the efficiency to the average efficiency. Analyze the ratio of the system's actual maximum load to the rated power to determine the system's overload operation capability. If the ratio is less than 1, the system is operating below the rated power, indicating that the system is operating under normal load and there is no overload risk. If the ratio is equal to 1, the system is operating at rated power. If the system is running at full load, it is necessary to pay attention to the impact of the continuous full load state on the system. If the ratio is greater than 1, the system is operating above the rated power, indicating that the system is in an overload state. Evaluate the durability and reliability of system performance through long-term operation data, especially under multi-cycle charge and discharge conditions.

[0041] These parameters are selected because they are directly related to the core operating characteristics of the system, such as energy supply capacity, response speed, operating efficiency and load management capabilities. Each represents a different aspect of system performance and together constitutes the basis for evaluating system stability. Through this multi-dimensional evaluation, the rationality of system design and the reliability of practical application can be ensured, while providing strong data support for the long-term operation of the system. By integrating these parameters, the operational stability of the system can be evaluated in all aspects, ensuring that the system design meets the requirements of all operating conditions, ensuring the stable operation of the system under various load and environmental conditions, reducing downtime and improving service reliability.

[0042] The operational stability of the simulated photovoltaic energy storage system can be expressed by the operational stability coefficient, and the calculation formula is as follows:

[0043]

[0044] In the formula, S instability is the operation stability coefficient, which is used to indicate the operation stability of the simulated photovoltaic energy storage system. The larger the value, the more unstable the operation of the simulated photovoltaic energy storage system. is the square of the energy gap coefficient, R power is the power response coefficient, C stability is the cycle stability, V efficiency is the coefficient of variation of efficiency, O overload is the overload capacity factor.

[0045] After each preliminary simulated photovoltaic power storage power and energy storage capacity configuration scheme is applied to the simulated photovoltaic energy storage system, the calculation table of the operation stability coefficient is as follows:

[0046] Table 1 Calculation data of operation stability coefficient

[0047] Solution No. <![CDATA[G gep ]]> <![CDATA[R power ]]> <![CDATA[C stability ]]> <![CDATA[V efficiency ]]> <![CDATA[O overload ]]> <![CDATA[S instability ]]> 1 0.10 0.05 0.90 0.05 1.1 0.40 2 0.05 0.03 0.95 0.03 1.5 0.44 3 0.20 0.10 0.85 0.10 2.0 0.67 4 0.15 0.08 0.80 0.08 1.3 0.52 5 0.08 0.04 0.88 0.06 1.2 0.43

[0048] In the table, solution number 3 shows the highest instability index of 0.52, which is mainly due to the higher energy gap coefficient and power response coefficient, as well as the relatively large overload capacity factor, which means that solution number 3 may not perform well in extreme cases and needs to be improved. Although solution number 2 has a higher overload capacity factor, its instability index is higher (0.40) due to the lower energy gap coefficient and power response coefficient, but it is more stable than solution number 3. The instability index of solutions number 1, 4 and 5 is relatively low, indicating that these configurations perform well in terms of system stability, especially configuration 1 performs best due to its lower energy gap and response time.

[0049] Specifically, the benefit data include initial investment cost, operation and maintenance cost during simulated operation, energy saving benefit during simulated operation, policy incentives, depreciation and capital return rate, and expected life; the initial investment cost, operation and maintenance cost during simulated operation, energy saving benefit during simulated operation, policy incentives, depreciation and capital return rate, and expected life serve as the basis for analyzing the benefit effect of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies a preliminary simulated photovoltaic power storage power and energy storage capacity configuration scheme.

[0050] The initial investment cost is obtained from the project budget, supplier quotations, and installation costs, and all relevant costs are added up. The operation and maintenance costs during the simulated operation are based on historical data or operation and maintenance records of similar projects, including daily monitoring, equipment maintenance, parts replacement, and labor costs. The energy saving benefits during the simulated operation are measured by measuring the power output of the system with the corresponding electricity market price, or by calculating the savings of alternative electricity purchase costs. Policy incentives come from government-issued documents, guidance documents from relevant energy departments or financial departments, and may include tax exemptions, direct subsidies, or income from renewable energy certificates. Depreciation and return on capital are determined by financial analysts based on market conditions, capital costs, and project risk assessments. The expected life is based on equipment specifications provided by manufacturers and industry standards, taking into account the expected service life of photovoltaic panels, energy storage equipment, and other key components.

[0051] Energy savings (cost savings due to improved energy efficiency) and policy incentives (such as tax breaks, subsidies, etc.) are added together, and then operation and maintenance costs are subtracted to calculate the net annual operating benefit. Using the net present value (NPV) method, the future net benefits are discounted to the current value based on depreciation and capital return rate (interest rate), taking into account the expected life of the project, helping to evaluate the economic benefits over the entire project life cycle.

[0052] The initial investment cost is considered because it represents the direct capital investment required to start the project and is the basis for evaluating the economic feasibility of the project. The energy saving benefits reflect the direct economic benefits saved by improving energy efficiency and are the main source of project profitability.

[0053] The calculation formula for analyzing the benefit effect of the simulated photovoltaic energy storage system based on the initial investment cost, operation and maintenance costs during the simulated operation period, energy saving benefits during the simulated operation period, policy incentives, depreciation and capital return rate, and expected life is:

[0054]

[0055] In the formula, E profit To simulate the benefits of the photovoltaic energy storage system, B energy is the energy saving benefit during the simulation operation, I incentive For policy incentives, C operatingis the operation and maintenance cost during the simulation operation, r is the depreciation and capital return rate, n is the expected life, C initial is the initial investment cost.

[0056] The following table shows the simulated PV energy storage system revenue data for each solution:

[0057] Table 2 Simulated photovoltaic energy storage system revenue data

[0058] Solution No. <![CDATA[C initial ]]> <![CDATA[C operating ]]> <![CDATA[B energy ]]> <![CDATA[I incentive ]]> r n <![CDATA[E profit ]]> 1 150000 20000 10000 500000 5 20 370000 2 180000 250000 120000 40000 5 20 360000 3 140000 30000 90000 60000 5 20 340000 4 200000 22000 150000 35000 5 20 452000 5 120000 18000 80000 45000 5 20 308000

[0059] In the table, the fourth group of data shows the highest benefit (452,000 yuan), which is mainly due to the higher energy-saving benefits and policy incentives, as well as relatively low operation and maintenance costs. The fifth group of data shows the lowest benefit (308,000 yuan). Although the initial investment cost is low, the energy-saving benefits and policy incentives are relatively low, resulting in less overall benefits.

[0060] like Figure 2 As shown, the final benefits of different groups can be intuitively seen, and the benefit performance of each group under different conditions can be analyzed. Scheme No. 1 has a balanced performance in energy-saving benefits, policy incentives and operating costs, and the final benefits are relatively high. Although Scheme No. 2 has good energy-saving benefits and policy incentives, the higher initial investment cost affects the final benefits, resulting in a slightly lower return than Scheme No. 1. Although Scheme No. 3 has high policy incentives, its energy-saving benefits are low and its operating and maintenance costs are high, resulting in lower overall benefits. Scheme No. 4 performs well in energy-saving benefits and policy incentives. Although the initial investment cost is high, it has the highest overall benefits. Scheme No. 5 has relatively low energy-saving benefits and policy incentives, but the initial investment cost is also low, and the final benefits are at a medium level.

[0061] Specifically, the process of determining the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme based on the analysis of operation data and benefit data is as follows: obtain the analysis results of the operation data and the analysis results of the benefit data; integrate the analysis results of the operation data and the analysis results of the benefit data to obtain a comprehensive evaluation index; sort the comprehensive evaluation indexes corresponding to each preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme in order from large to small; and record the preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme corresponding to the largest comprehensive evaluation index as the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme.

[0062] The calculation formula of the comprehensive evaluation index is:

[0063]

[0064] In the formula, Z is the comprehensive evaluation index, E profit To simulate the benefits of the photovoltaic energy storage system, Sinstability is the operation stability coefficient, which is the analysis result of the operation data.

[0065] In this implementation, the benefit analysis considers the economic performance of the PV energy storage system, including initial investment cost, operation and maintenance cost, energy saving benefits, policy incentives, depreciation and return on capital, and the expected life of the system. The stability analysis evaluates the stability of the system in actual operation. It provides a quantitative decision-making method to help decision makers identify the best balance between economic benefits and system stability through mathematical models.

[0066] A photovoltaic power storage power and energy storage capacity configuration device comprises a processor; and a memory, wherein computer program instructions are stored in the memory, and when the computer program instructions are executed by the processor, the processor executes the photovoltaic power storage power and energy storage capacity configuration method as described above, such as Figure 3 As shown, it also includes a simulation scheme acquisition module, a simulation data acquisition module and an optimal scheme determination module, wherein: the simulation scheme acquisition module is used to apply several preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration schemes to the simulated photovoltaic energy storage system; the simulation data acquisition module is used to obtain the simulated operation data when each preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme is applied to the simulated photovoltaic energy storage system; the optimal scheme determination module is used to determine the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme based on the simulated operation data.

[0067] In this implementation scheme, the simulation scheme acquisition module is responsible for generating and applying multiple preliminary simulation photovoltaic power storage power and energy storage capacity configuration schemes. It can automatically design multiple potential system configurations based on the preset parameter range and algorithm logic. After the preliminary configuration scheme is implemented, the simulation data acquisition module collects detailed data of the simulation operation. This includes key indicators such as power output, response time, system efficiency, maximum load capacity and stability. The optimal solution determination module is based on the data collected from the simulation data acquisition module. This module analyzes and compares the performance of each configuration scheme, and then selects the configuration scheme with the best performance in all aspects.

[0068] In summary, this application has at least the following effects:

[0069] By setting multiple preliminary configuration plans and evaluating them using simulation data, the optimal configuration plan is selected to ensure the optimal performance and efficiency of the photovoltaic energy storage system under various operating conditions, thereby improving the energy utilization rate and economic returns of the system. By comprehensively analyzing operating data and benefit data, and using multi-dimensional indicators such as capacity decay rate and energy output stability, the stability and economic benefits of the photovoltaic energy storage system are comprehensively evaluated, ensuring the long-term reliability and economic feasibility of the system.

[0070] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0071] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0072] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0073] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0074] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0075] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for configuring photovoltaic power storage power and energy storage capacity, characterized in that: The following steps are involved: Several preliminary simulated PV power storage power and storage capacity configuration schemes were applied to simulated PV energy storage systems; Acquire simulated operation data when each preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme is applied to the simulated photovoltaic energy storage system, the simulated operation data including operation data of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies the preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme, and benefit data of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies the preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme; the operation data and benefit data serve as an analytical basis for determining the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme; Determine the optimal simulated photovoltaic power storage power and storage capacity configuration scheme based on simulated operation data; The process of obtaining several preliminary simulations of photovoltaic power storage power and energy storage capacity configuration schemes is as follows: Obtain the recommended range of photovoltaic power storage power and energy storage capacity stored in the database; Based on the minimum value of the recommended range of photovoltaic power storage power, a photovoltaic power storage power combination point is set for each increase in the product of the minimum value of the recommended range of photovoltaic power storage power and the set ratio; Based on the minimum value of the recommended energy storage capacity range as a benchmark, an energy storage capacity combination point is set for each increase in the product of the minimum value of the recommended energy storage capacity range and the set ratio; Determine the preliminary simulation of the photovoltaic power curtailment energy storage power and energy storage capacity configuration scheme based on the photovoltaic power curtailment energy storage power combination point and energy storage capacity combination point; The operation data includes the maximum energy that can be provided by the simulated photovoltaic energy storage system, the response time of the simulated photovoltaic energy storage system to a sudden load change, the efficiency of the simulated photovoltaic energy storage system at each sampling time point, the actual maximum load and rated power of the simulated photovoltaic energy storage system, and the cycle stability of the simulated photovoltaic energy storage system; The maximum energy that the simulated photovoltaic energy storage system can provide, the response time of the simulated photovoltaic energy storage system to a sudden load change, the efficiency of the simulated photovoltaic energy storage system at each sampling time point, the actual maximum load and rated power of the simulated photovoltaic energy storage system, and the cycle stability of the simulated photovoltaic energy storage system are used as the analysis basis for the operational stability of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system is applied to preliminarily simulate the photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme; The process of simulating the stability of the photovoltaic energy storage system operation is as follows based on simulating the maximum energy that the photovoltaic energy storage system can provide, simulating the response time of the photovoltaic energy storage system to load mutations, simulating the efficiency of the photovoltaic energy storage system at each sampling time point, simulating the actual maximum load and rated power of the photovoltaic energy storage system, and simulating the cycle stability analysis of the photovoltaic energy storage system: Obtain the predicted maximum energy demand during the maximum demand period of the simulated photovoltaic energy storage system, obtain the energy difference between the predicted maximum energy demand and the maximum energy that the simulated photovoltaic energy storage system can provide, and obtain the energy gap coefficient based on the ratio of the energy difference to the maximum energy that the simulated photovoltaic energy storage system can provide; Obtaining the critical time for the simulated photovoltaic energy storage system to withstand load changes, and obtaining a power response coefficient based on the ratio of the simulated photovoltaic energy storage system's response time to load mutations to the critical time for the simulated photovoltaic energy storage system to withstand load changes; The average efficiency and efficiency standard deviation of the simulated photovoltaic energy storage system are obtained based on the efficiency of the simulated photovoltaic energy storage system at each sampling time point, and the efficiency variation coefficient is obtained based on the ratio of the efficiency standard deviation to the average efficiency; The overload capacity factor is obtained based on the ratio of the actual maximum load to the rated power of the simulated photovoltaic energy storage system; The energy gap coefficient, power response coefficient, efficiency variation coefficient, overload capacity factor and simulated photovoltaic energy storage system cycle stability analysis are integrated to determine the operational stability of the simulated photovoltaic energy storage system; The benefit data include initial investment cost, operation and maintenance cost during simulated operation, energy saving benefit during simulated operation, policy incentives, depreciation and capital return rate, and expected life; The initial investment cost, operation and maintenance costs during the simulated operation, energy-saving benefits during the simulated operation, policy incentives, depreciation and capital return rate, and expected life are used as the analysis basis for the benefit effect of the simulated photovoltaic energy storage system after the application of the preliminary simulated photovoltaic power storage power and energy storage capacity configuration scheme; The calculation formula for analyzing the benefit effect of the simulated photovoltaic energy storage system based on the initial investment cost, operation and maintenance costs during the simulated operation period, energy saving benefits during the simulated operation period, policy incentives, depreciation and capital return rate, and expected life is: In the formula, E profit To simulate the benefits of the photovoltaic energy storage system, B energy is the energy saving benefit during the simulation operation, I incentive For policy incentives, C operating is the operation and maintenance cost during the simulation operation, r is the depreciation and capital return rate, n is the expected life, C initial is the initial investment cost; The process of determining the optimal simulated photovoltaic power storage power and energy storage capacity configuration scheme based on operation data and benefit data analysis is as follows: Obtain the analysis results of operation data and benefit data; The analysis results of the operation data and the analysis results of the benefit data are combined to obtain a comprehensive evaluation index; Sort the comprehensive evaluation indexes corresponding to the preliminary simulated photovoltaic power storage power and energy storage capacity configuration schemes from large to small; The preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme corresponding to the largest comprehensive evaluation index is recorded as the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme; The calculation formula of the comprehensive evaluation index is: In the formula, Z is the comprehensive evaluation index, E profit To simulate the benefits of the photovoltaic energy storage system, S instability is the operation stability coefficient, which is the analysis result of the operation data.

2. A photovoltaic power storage power and energy storage capacity configuration device, characterized in that: The method comprises a processor; and a memory, wherein computer program instructions are stored in the memory, and when the computer program instructions are executed by the processor, the processor executes the photovoltaic power storage power and energy storage capacity configuration method according to claim 1, and further comprises a simulation scheme acquisition module, a simulation data acquisition module and an optimal scheme determination module, wherein: The simulation scheme acquisition module is used to apply a number of preliminary simulated photovoltaic power storage power and energy storage capacity configuration schemes to the simulated photovoltaic energy storage system; The simulation data acquisition module is used to obtain the simulated operation data when each preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme is applied to the simulated photovoltaic energy storage system, the simulated operation data includes the operation data of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies the preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme, and the benefit data of the simulated photovoltaic energy storage system after the simulated photovoltaic energy storage system applies the preliminary simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme; the operation data and benefit data are used as the analysis basis for determining the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration scheme; The optimal solution determination module is used to determine the optimal simulated photovoltaic power abandonment energy storage power and energy storage capacity configuration solution based on simulated operation data.

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