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Hybrid energy storage optimal configuration method for grid-connected wind storage power generation system

A grid-connected wind storage power generation and hybrid energy storage technology, applied in wind power generation, circuit devices, AC network circuits, etc., can solve problems such as reducing power grid reliability, power quality, voltage fluctuation, affecting production equipment, etc. Smoothing effect, extended battery life, good economical effect

Active Publication Date: 2020-12-11
TIANJIN UNIV
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Problems solved by technology

[0002] At present, wind power has the characteristics of intermittent and fluctuating. If uncontrolled power is directly injected into the grid, such high-frequency and high-amplitude power fluctuations will cause voltage fluctuations, thereby reducing grid reliability and power quality, and affecting sensitive production equipment.

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  • Hybrid energy storage optimal configuration method for grid-connected wind storage power generation system
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  • Hybrid energy storage optimal configuration method for grid-connected wind storage power generation system

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Embodiment Construction

[0040] In order to further understand the invention content, characteristics and effects of the present invention, the following embodiments are enumerated hereby, and detailed descriptions are as follows in conjunction with the accompanying drawings:

[0041] See Figure 1 to Figure 8 , a hybrid energy storage optimization configuration method for a grid-connected wind storage power generation system, which decomposes the historical wind power output power in the frequency domain, counts the high and low frequency components of the historical wind power output power, and determines the hybrid energy storage rated power based on the probability distribution function; constructs A hybrid energy storage capacity optimization model for the whole life cycle of wind farms with the minimum net present value of the annual cost and the maximum target output satisfaction rate as the goal; based on the clustering algorithm, extract the typical daily scenarios of wind power output power, an...

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Abstract

The invention discloses a hybrid energy storage optimal configuration method for a grid-connected wind storage power generation system, and the method comprises the steps: carrying out the frequency domain decomposition of historical wind power output power, carrying out the statistics of high and low frequency components of the historical wind power output power, and determining the hybrid energystorage rated power based on a probability distribution function; constructing a wind power plant full-life-cycle hybrid energy storage capacity optimization model taking the minimum annual cost netpresent value and the maximum target output satisfaction rate as targets; extracting wind power output power daily typical scenes based on a clustering algorithm, and counting the time proportion of each typical scene to serve as an input scene of the wind power plant full-life-cycle hybrid energy storage capacity optimization model; and solving by adopting a multi-objective optimization algorithmto obtain an optimal hybrid energy storage capacity configuration scheme of the grid-connected wind storage power generation system. By optimizing the distribution of high-frequency and low-frequencyfluctuation components between hybrid energy storage, the fluctuation stabilizing effect can be effectively improved while the service life of a battery is prolonged.

Description

technical field [0001] The invention relates to a hybrid energy storage optimization configuration method of a grid-connected wind storage power generation system. Background technique [0002] At present, wind power has the characteristics of intermittent and fluctuating. If uncontrolled power is directly injected into the grid, such high-frequency and high-amplitude power fluctuations will cause voltage fluctuations, thereby reducing grid reliability and power quality, and affecting sensitive production equipment. . The integration of energy storage systems into wind storage and generation systems can eliminate some of the challenges associated with wind energy. Energy storage plays an important role in compensating prediction errors, tracking response, and frequency control, making unstable wind energy stable and of high value. In the existing research, Wei Ma established a multi-objective model considering the net profit of the system and the state of charge of the ene...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/24H02J3/48H02J3/32
CPCH02J3/008H02J3/24H02J3/48H02J3/32H02J2203/20H02J2300/28Y02E10/76Y02E70/30H02J3/381H02J3/28
Inventor 马超杜睿庞秀岚
Owner TIANJIN UNIV
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