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Forecast method for proportion between power generation of photovoltaic power station and power utilization of plant

A technology of photovoltaic power station and forecasting method, applied in photovoltaic power generation, load forecasting in AC network, electrical components, etc., can solve the problem of low accuracy of forecast data

Active Publication Date: 2018-11-02
CSG HOLDING +1
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  • Abstract
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  • Application Information

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Problems solved by technology

[0002] Since it is necessary to consider the power load of the plant area where the power plant is constructed and the absorbable ratio of the designed installed capacity of the photovoltaic power plant in the design stage of the distributed photovoltaic power plant, the estimation of the power generation and power consumption ratio of the distributed photovoltaic power plant is very important for distributed photovoltaic power plants. There are technical requirements in the design of the power station. The traditional method is to divide the load of the plant area by the theoretical power generation calculated based on the designed installed capacity of the photovoltaic power station to predict the proportion of power consumption in the plant area and the power generation of the photovoltaic power plant. The accuracy of the prediction data is not high

Method used

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  • Forecast method for proportion between power generation of photovoltaic power station and power utilization of plant
  • Forecast method for proportion between power generation of photovoltaic power station and power utilization of plant

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Embodiment 1

[0101] According to the prediction method of the ratio of the power consumption of the plant area to the power generation of the photovoltaic power station, the estimated ratio of the power consumption of the plant area A to the power generation of the photovoltaic power plant A in the year C is predicted as follows:

[0102] (1) A photovoltaic power station was put into operation in July of C-1 year, that is, m=0.5, and the initial installed capacity Z 0 7500kW, ε 1 2.5%, ε 2 is 0.73%, then, according to the formula (1-3), the installed capacity Z of A photovoltaic power plant is calculated as follows:

[0103] Z=Z 0 ×[1-ε 1 -(m-1)×ε 2 ]=7500×[1-2.5%-(0.5-1)×0.73%]=7339.875kW.

[0104] (2) According to the average radiation dose F of a certain month in the location of the A factory area in the previous five years of the C year in Table 1 n , The installed capacity Z of A photovoltaic power station calculated in step (1) and the formula (1-2) calculate the average daily ...

Embodiment 2

[0131] In this embodiment, the method for predicting the estimated proportion of the electricity consumption of the factory area A and the power generation of the A photovoltaic power station in the year C is as follows:

[0132] (1) According to the average annual actual electricity consumption of A factory area in the five years before C year, the average annual actual electricity consumption of A factory area in the five years before C year is calculated, see Table 1, That is 63934450kWh.

[0133] (2) According to the same method of step (1) and step (2) of embodiment 1, the theoretical power generation W of each month of A photovoltaic power plant in year C is calculated n , as shown in Table 1, according to the monthly theoretical power generation W of A photovoltaic power plant in year C n Summing up, the 12-month theoretical power generation of A photovoltaic power plant in year C is calculated in Table 1, which is 6,120,928 degrees, or 6,120,928 kWh.

[0134] (3) Acc...

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Abstract

The invention relates to a forecast method for a proportion between power generation of a photovoltaic power station and power utilization of a plant. According to the forecast method for the proportion between power generation of the photovoltaic power station and power utilization of the plant, the average-daily maximum power output from the photovoltaic power station is supposed as a peak poweraccording to an initial solar radiation time point and an ending solar radiation time point of a place where the plant is located at daily average, a relation function between the output power of thephotovoltaic power station and the time point is built by a sine curve formula, the peak power is determined according to the relation function and theoretical power generation quantity of the photovoltaic power station at daily average, the forecasted power generation quantity W(t) corresponding to each time frame is calculated according to time frames, the theoretical power utilization quantityof the plant in each time frame is determined by comparing the forecasted power generation quantity W(t) with average power utilization quantity H within time corresponding to a time frame in the plant, the theoretical power utilization quantity of the plant at a predetermined time frame is calculated, the obtained theoretical power utilization quantity of the plant at the predetermined time frame is more accurate, so that the proportion between the calculated power utilization quantity of the plant and the power generation quantity of the photovoltaic power station is more accurate.

Description

technical field [0001] The invention relates to the field of photovoltaics, in particular to a method for predicting the proportion of electricity generated by a photovoltaic power station and power consumption in a factory area. Background technique [0002] Since it is necessary to consider the power load of the plant area where the power plant is constructed and the absorbable ratio of the designed installed capacity of the photovoltaic power plant in the design stage of the distributed photovoltaic power plant, the estimation of the power generation and power consumption ratio of the distributed photovoltaic power plant is very important for distributed photovoltaic power plants. There are technical requirements in the design of the power station. The traditional method is to divide the load of the plant area by the theoretical power generation calculated according to the designed installed capacity of the photovoltaic power plant to predict the proportion of power consum...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38
CPCH02J3/003H02J3/383Y02E10/56Y02P80/20
Inventor 陈志穗定明辉余树红石建伟刘兵沈大鹏饶志峰
Owner CSG HOLDING