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Multi-factor based photovoltaic power station middle-and-long-term generating capacity prediction method

A technology for photovoltaic power plants and forecasting methods, applied in forecasting, instrumentation, data processing applications, etc., can solve the problems of inability to provide reliable reference for power station deviation correction, insufficient operability, poor accuracy, etc., and achieve good application prospects, simple calculation, and reasonable evaluation. Effect

Inactive Publication Date: 2016-12-07
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +2
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Problems solved by technology

[0003] The purpose of the present invention is to overcome the problems that the existing photovoltaic power station power generation prediction is relatively complicated, the operability is not enough, the accuracy is poor, and it cannot provide reliable reference for photovoltaic power station investors to predict the needs and correct the deviation of the power station in operation

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Embodiment Construction

[0058] The present invention will be further described below in conjunction with the accompanying drawings.

[0059] The method for predicting the medium and long-term power generation of photovoltaic power plants based on multi-factors of the present invention, such as figure 1 shown, including the following steps,

[0060] Step (A), according to the data of the environmental detector and the weather station, obtain the plant dimension, inclination angle, and historical daily horizontal radiation of the area where the photovoltaic power plant is located, and simultaneously select the number of days in the current month, the date number of the year, the solar constant, and the ground reflection rate, the dimension of the power station, which is based on the location of the photovoltaic power station, and the dimension wd measured by the GPS locator; the tilt angle is the historical experience value x; the historical daily horizontal radiation is obtained from the NASA database...

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Abstract

The invention discloses a multi-factor based photovoltaic power station middle-and-long-term generating capacity prediction method including the following steps of A) based on the data of an environment detector and a weather station, acquiring the power station dimensions, inclination angles, and historical daily level radiation quantities, and selecting the number of days in the month, the date sequence number in a year, solar constants, and the ground reflectivity; B) calculating the annual inclined plane total radiation quantity I; C) calculating the comprehensive efficiency of a photovoltaic power plant; D) calculating the annual effective hour number of the photovoltaic power plant; E) calculating the generating capacity of the first year; and F) calculating the generating capacity value of the nth year and the total generating capacity for many years of the photovoltaic power plant. The prediction method is simple in calculation, efficient, and stable, and has good prediction benefits and good application prospects.

Description

technical field [0001] The invention relates to the technical field of forecasting the power generation of photovoltaic power plants, in particular to a method for predicting the medium and long-term power generation of photovoltaic power plants based on multiple factors. Background technique [0002] With the large-scale application and investment of photovoltaic power plants, the preliminary planning and post-operation and maintenance of photovoltaic power plants are particularly important. Now the algorithms are relatively complicated and the operability is not enough. There is no simple gadget that allows investors to always grasp the power generation of photovoltaic power plants Quantity or income, causing investors to worry about future income. The important factor of income is the power generation. There are different methods for calculating the power generation of photovoltaic power plants in the planning and design stage of photovoltaic power plants and after the com...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 孔月萍霍尧邹云峰刘瑞巧程云
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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