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Hydrogen production system capacity layered optimization configuration method for stabilizing wind power fluctuation

A technology for hydrogen production system and optimized configuration, which is applied in electrical energy storage systems, wind power generation, design optimization/simulation, etc. It can solve problems such as inability to guarantee fluctuations, meeting requirements, and capacity allocation strategies that are difficult to meet objective reality.

Pending Publication Date: 2022-07-08
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (1) In the study of wind power fluctuation stability, although the traditional stabilization algorithms such as first-order low-pass filtering method and wavelet decomposition method are simple in principle and fast in operation speed, they cannot guarantee that the fluctuations after smoothing can meet the requirements.
[0006] (2) In terms of electrolyzer capacity design, due to the randomness and uncertainty of wind power fluctuations, the output of electrolyzers cannot always work at rated conditions due to wind power fluctuations, and the existing capacity allocation strategies are difficult to meet the needs of objective reality

Method used

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  • Hydrogen production system capacity layered optimization configuration method for stabilizing wind power fluctuation
  • Hydrogen production system capacity layered optimization configuration method for stabilizing wind power fluctuation
  • Hydrogen production system capacity layered optimization configuration method for stabilizing wind power fluctuation

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Embodiment 1

[0033] figure 1 This is a flow chart of a method for optimizing the capacity layered configuration of a hydrogen production system to stabilize wind power fluctuations provided by the embodiment of the present invention.

[0034] refer to figure 1 , the capacity-layered optimization configuration method of hydrogen production system to stabilize wind power fluctuation includes:

[0035] Step S101, establishing a wind power fluctuation stabilization model based on model predictive control, and establishing a rolling optimization objective function with the goal of minimum energy storage output;

[0036] Specifically, this step includes taking the minimum value of the sum of the outputs of the electrolyzers in the total time series length as the objective function, and taking the wind farm output power limit as the constraint condition; establishing a state space model, and setting the output power and hydrogen production as the state The state variable of the space model, the...

Embodiment 2

[0058] Taking a wind farm with an installed capacity of 250MW in North China as an example, the sampling time is 1min. Different typical daily power generation curves of wind farms are shown in the figure. And through the difference-by-difference method, the fluctuation value of the output power of the wind farm at adjacent times is obtained. The overall level of wind power output in this region is relatively high in spring and winter, and relatively low in summer and autumn. In terms of fluctuations, the distribution of fluctuations in spring and autumn is relatively uniform, but the fluctuations in spring are numerically larger than those in autumn; the fluctuations in summer and winter at night and in the morning are very small, and the fluctuations in summer are concentrated between 12:00 and 22:00, and those in winter are concentrated. Between 13:00-22:00. The volatility in summer is generally low, and the volatility in winter is prone to extreme values.

[0059] Takin...

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Abstract

The invention provides a hydrogen production system capacity hierarchical optimization configuration method for stabilizing wind power fluctuation, which comprises the following steps of: establishing a wind power fluctuation stabilizing model based on model prediction control, and establishing a rolling optimization objective function by taking the minimum energy storage output as an objective; a layered optimization model used for optimizing the capacity of the hydrogen production system is established, and the layered optimization model comprises a first-layer model and a second-layer model; and solving the first-layer model by using a non-dominated sorting genetic algorithm with an elitist strategy, and solving the second-layer model by using a particle swarm optimization algorithm to obtain the optimal capacity of the electrolytic cell. On the premise that economical efficiency is met, the low electricity abandoning rate is lower, and good application prospects are achieved.

Description

technical field [0001] The invention relates to the field of wind power suppression, in particular to a capacity-layered optimization configuration method of a hydrogen production system for suppressing wind power fluctuations. Background technique [0002] Wind energy has become a hot spot in the development of new energy in recent years due to its clean, efficient, pollution-free and sustainable development characteristics. However, due to the main characteristics of fluctuation, intermittency and randomness of wind power generation, the adverse effects on the reliable operation and economic operation of the power grid are becoming more and more serious. [0003] In recent years, the energy storage system has become an important way to stabilize the fluctuation of wind power generation. The combination of wind power generation and hydrogen production by electrolysis of water not only provides a new idea for smoothing the fluctuation of wind power generation, but also compa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/28H02J15/00H02J3/24H02J3/38G06F30/20G06N3/00
CPCH02J3/28H02J15/008H02J3/24H02J3/381G06F30/20G06N3/006H02J2203/20H02J2300/28Y02P20/133
Inventor 徐衍会徐宜佳崔瑞顺
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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