Economic index fine calculation model of photovoltaic power generation system

Abstract

The invention relates to a fine calculation model for economic indexes of a photovoltaic power generation system. The model comprises a basic information module. Basic indexes including project building parameters, electrical load, photovoltaic conversion efficiency of a photovoltaic system and the like are included. And an initial calculation module. According to the project basic information and the solar radiation amount, the dynamic payback periods of the photovoltaic systems of the project plane and the facade facing each direction are calculated by adopting mathematical tools such as an iterative calculation method according to the principle that the project can be completely loaded and the full amount is used by themselves. According to the calculation result, the plane position and orientation meeting the requirements in the dynamic payback period are preliminarily selected as the installation position of the photovoltaic system. And a recalculation module. According to the actual conditions such as the power utilization load of a project, the surplus electricity on-grid price and the initial investment budget, the installation capacity of the plane and the vertical face is properly adjusted, and various economic indexes such as the dynamic payback period and the investment income are calculated. According to a calculation result, determining that the scheme meets the economic index requirement is economical and feasible, and determining the scheme as a final scheme; otherwise, judging that the photovoltaic system is economically infeasible. By adopting the embodiment of the invention, the photovoltaic system investment income statistics is more refined, the prediction is more efficient and accurate, and the investment risk is reduced.

Description

Technical Field

[0001] This application relates to a model for precisely calculating economic indicators of a photovoltaic power generation system. Background Art

[0003] Currently, the measurement methods for the economic indicators of photovoltaic power generation systems are relatively rough. Most of them only calculate the static payback period or simply estimate the dynamic payback period, making it difficult to find the optimal balance between revenue and investment.

[0004] Most do not calculate the power generation and revenue of the photovoltaic system by time period and orientation throughout the year, resulting in a large difference between the measurement results and the actual situation. Summary of the Invention

[0005] In order to make the measurement of economic indicators of photovoltaic power generation systems efficient and accurate, this application provides a refined calculation model for economic indicators of photovoltaic power generation systems, including three modules: basic information, preliminary calculation, and re-calculation.

[0006] The basic information module mainly includes the following contents: Project building parameters, electricity consumption profile, solar radiation parameters (referring to data from professional platforms), and technical indicators of the photovoltaic system.

[0007] Dynamic investment recovery period value Annualized rate of return limit of the initial investment within the service life Case demonstration:

[0008] The preliminary calculation module mainly includes the following contents: Photovoltaic installed capacity in each orientation, solar radiation amount and power generation amount during peak and valley electricity price periods.

[0009] Photovoltaic power generation revenue (all self-consumed) in each orientation, system investment, and dynamic investment recovery period.

[0010] The iterative calculation method is used for calculating the dynamic investment recovery period: Initial calculation is performed with pre-assigned values in the dynamic investment recovery period table; Then, the iterative calculation formula is input into the dynamic investment recovery period table according to the following logic: When the difference between the total investment and total revenue of the photovoltaic system during the payback period is greater than the error limit value, the value of the dynamic investment recovery period is increased or decreased by the step size setting value (opposite to the change direction of the target value) until the difference between the total investment and total revenue of the photovoltaic system does not exceed the error limit value.

[0011] Case demonstration:

[0012] The recomputation module mainly includes the following content: Photovoltaic installed capacity in each orientation.

[0013] For the orientation with a shorter dynamic payback period in the preliminary calculation module, it is preferentially arranged; those exceeding the limit are not arranged.

[0014] Adjust appropriately according to specific project requirements such as the limit of initial investment.

[0015] Power generation during peak and valley periods of electricity price, self - consumption electricity, and electricity sold back to the grid.

[0016] Power generation revenue during peak and valley periods of electricity price, total revenue during the payback period, and total revenue during the service life.

[0017] Initial investment of the photovoltaic system, total investment during the payback period, and dynamic payback period.

[0018] Example demonstration

Claims

1. Includes basic information module, initial calculation module and recalculation module; Basic information sets various calculation conditions of the model; The preliminary calculation module calculates the dynamic investment payback period for all directions under the self-generation and self-use mode; The recalculation module gives priority to calculating directions with shorter dynamic investment payback periods based on the calculation results of the initial calculation module, and eliminates directions that exceed the limit; and it makes flexible adjustments based on the specific needs of the project.

2. Both the initial calculation and recalculation modules use hourly meteorological data throughout the year to compile statistics on solar radiation during peak and valley periods of electricity prices in each direction, and calculate the power generation and related benefits of photovoltaic systems in each direction based on the conversion efficiency of photovoltaic modules and the overall efficiency of the system.

3. Iterative calculation In the calculation model, the dynamic payback period is pre-assigned and initially calculated; In the Dynamic Payback Period table, enter the iterative calculation formula according to the following logic: When the difference between the total investment and the total income of the PV system's dynamic payback period is greater than the error limit, the dynamic payback period value will increase or decrease according to the step setting value (in the opposite direction of the target value) until the difference does not exceed the error limit.

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