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Cloud model-based energy storage system typical-curve mining method

A technology of energy storage system and typical curve, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of large amount of calculation, lack of clear overall understanding of charging and discharging power of energy storage system, and less attention to mining work. and other problems to achieve the effect of reducing the amount of calculation

Inactive Publication Date: 2016-01-20
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0003] At present, the research on the charging and discharging power of the energy storage system is concentrated on the aspects of optimal control and capacity configuration, and less attention is paid to the excavation of typical operating curves. Huge and other issues

Method used

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  • Cloud model-based energy storage system typical-curve mining method
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  • Cloud model-based energy storage system typical-curve mining method

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Embodiment Construction

[0026] The embodiments will be described in detail below in conjunction with the accompanying drawings.

[0027] The present invention proposes a cloud model-based mining method for typical curves of energy storage systems, such as figure 1 shown, including:

[0028] Step 1. Set the application scenario of the energy storage system as smoothing the power fluctuation of the photovoltaic power station. Set the time span to 1 year. The selected control strategy is the first-order low-pass filter. Such as figure 2 As shown, the solar-storage combined system is mainly composed of photovoltaic power plants, energy storage systems and control systems. P s is the output power of the photovoltaic power station, P b is the output power of the energy storage system, P w is the total output power of the combined optical storage system. The relationship between them is shown in the following formula (after discretization):

[0029] P out (k)=α·P out (k-1)+(1-α)·P s (k)

[003...

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Abstract

The invention belongs to the technical fields of electrical power systems and energy storage systems, and particularly relates to a cloud model-based energy storage system typical-curve mining method. A determined application scenario of an energy storage system and a proper control policy are selected, and an energy storage system longitudinal timing sequence power is counted; frequency distribution of an energy storage system longitudinal timing sequence power value is decomposed into a plurality of cloud models different in granularity, expectations of a normality cloud model group are weighted and summed, and an energy storage system typical-curve is given. The calculated amount can be greatly reduced, and clear perceiving of the overall charging and discharging power of the energy storage system is facilitated; a backward cloud generator in each cloud model can convert precise data into a cloud model represented by numerical characteristics, thus realizing numerical value-to-concept extraction and conversion, namely realizing the effect that the energy storage system typical-curve is mined by energy storage system charging and discharging power data.

Description

technical field [0001] The invention belongs to the technical field of power system energy storage systems, and in particular relates to a cloud model-based mining method for typical curves of energy storage systems. Background technique [0002] The volatility, intermittence and unpredictability of renewable energy power generation will have a certain impact on the operation of the existing power system. The energy storage system has fast response and dynamic adjustment capabilities, which can effectively improve the friendliness of the new energy power system. [0003] At present, the research on the charging and discharging power of the energy storage system is concentrated on the aspects of optimal control and capacity configuration, and less attention is paid to the excavation of the typical operating curve. huge problem. Mining and determining the typical operating curve of the energy storage system in the application scenario is to extract and summarize the operatin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06Q50/06
Inventor 韩晓娟赵泽琨籍天明刘大贺
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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