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Wind-solar hybrid power generation output data simulation method based on improved probability model

A wind-solar hybrid power generation and probability model technology, which is applied in the direction of electric digital data processing, data processing applications, special data processing applications, etc., can solve the problem of insufficient richness and in-depth simulation of wind-solar hybrid power generation output data, and reduce the investment planning economy of complementary power generation systems Benefits, ignoring the correlation and complementarity between wind and wind power generation output, etc., to achieve the effect of improving investment return and economic benefits, reducing conservatism, low execution environment and maintenance requirements

Inactive Publication Date: 2019-07-12
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
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Problems solved by technology

[0003] At present, the research on the output data simulation of wind-solar hybrid power generation is not rich enough and in-depth. The correlation and complementarity between power generation output reduces the accuracy of simulation data, resulting in conservative planning results and reducing the economic benefits of investment planning for complementary power generation systems

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  • Wind-solar hybrid power generation output data simulation method based on improved probability model

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Embodiment

[0079] The present invention takes a wind-solar hybrid power generation system planning project in a research area in Shandong Province as an example. The output simulation data of wind power, photovoltaic and complementary power generation systems in this research area are as follows: figure 2 , image 3 with Figure 4 As shown, in conjunction with the relevant data in the accompanying drawings, it can be clearly found that the present invention improves the independent wind and solar weather model, takes into account the correlation between wind speed and solar radiation intensity changes, improves the accuracy of the obtained simulation data, and has more Highly advanced; when the present invention is applied to wind-solar hybrid power generation system planning, the conservativeness caused by traditional methods can be reduced, and the investment return and economic benefits of the complementary power generation system planning can be improved.

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Abstract

The invention discloses a wind-solar hybrid power generation output data simulation method based on an improved probability model. The method comprises: considering the correlation between the wind speed and solar radiation intensity changes of the same region, improving an independent wind-solar probability model, correcting an amplitude item of the wind speed probability model under the day-night scene, and correcting the wind speed data distribution probability under the rainy weather scene; using a Monte Carlo method for simulating by taking hours as a time scale to obtain long-term meteorological data of a researched region, and constructing a wind-solar complementary power generation system model to convert the meteorological data into output data.

Description

Technical field [0001] The invention relates to the field of new energy power generation, in particular to a wind-solar complementary power generation output data simulation method based on an improved probability model. Background technique [0002] The wind-solar hybrid power generation system makes full use of the complementarity between wind power and photovoltaic output, stabilizes the volatility of aggregate power, reduces the dependence on grid climbing backup and energy storage devices, and improves the operating economy of the power generation system and the availability of power grids. Ability to accept renewable energy. In the planning process of wind and solar hybrid power generation systems, it is necessary to simulate the long-term output data of wind power and photovoltaic power generation devices. Wind power and photovoltaic power output data simulation can be divided into two methods based on long-term historical data and based on probability models. In actual ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06Q50/06G06F30/367
Inventor 杨冬李山周宁马欢张鹏飞麻常辉邢鲁华郑天茹赵康陈博蒋哲李文博刘文学牛凯吴彬邓丽
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY
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