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A combined optimization modeling method for wind and hydrogen systems based on chance-constrained programming

A modeling method and joint optimization technology, applied in the field of power system, can solve the problem of not considering the fluctuation and smoothing benefits of wind farms, and achieve the effect of improving economy

Active Publication Date: 2022-07-01
FUZHOU UNIV
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Problems solved by technology

[0003] The fluctuating smoothing benefits of wind farms have not been considered in the existing wind-hydrogen system capacity optimization configuration, and the capacity of each unit of the wind-hydrogen system has not been rationally allocated from the perspective of opportunity-constrained programming.

Method used

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  • A combined optimization modeling method for wind and hydrogen systems based on chance-constrained programming
  • A combined optimization modeling method for wind and hydrogen systems based on chance-constrained programming
  • A combined optimization modeling method for wind and hydrogen systems based on chance-constrained programming

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Embodiment Construction

[0073] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0074] Please refer to figure 1 , the present invention provides a wind-hydrogen system joint optimization modeling method based on chance-constrained programming, which is characterized in that it includes the following steps:

[0075] Step S1: Obtaining the time series wind resource status of the wind farm, fitting the wind farm output time series, hydrogen system cost parameters, power transmission engineering parameters, and wind power on-grid price parameters to provide data support for modeling optimization;

[0076] Step S2: According to the obtained wind farm output time series, aiming at maximizing the capital profit rate, meeting the preset constraints, constructing an opportunity-constrained planning model of the wind farm, and configuring the external output capacity of the wind farm and the capacity of each unit of the hydrogen system;

[00...

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Abstract

The present invention relates to a wind-hydrogen system joint optimization modeling method based on chance-constrained planning. From the perspective of the interests of wind-hydrogen system investors, an equal-power-load-loading method is applied to calculate the wind power fluctuation cost before and after optimization, and the capital profit of the investment project is calculated as the cost of wind power fluctuation before and after optimization. Considering the uncertainty of wind power, a chance-constrained programming model for the joint optimization of wind farm transmission engineering and hydrogen system configuration is constructed.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a combined optimization modeling method for a wind-hydrogen system based on chance-constrained programming. Background technique [0002] With the focus of energy development around the world shifting to clean energy, renewable energy is developing rapidly. As the main utilization method of renewable energy, the rapid and large-scale development of wind power and the randomness and intermittency of wind power make it difficult for the grid to absorb wind power, resulting in a decline in power quality, a reduction in the utilization rate of wind power, and a high rate of wind abandonment. This in turn affects the economic efficiency of the entire industry. Combining wind power and hydrogen energy storage can effectively solve the problems encountered by current wind power. On the other hand, clean and efficient hydrogen fuel can be integrated into the existing gas supply n...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02G06Q10/06G06Q50/06
CPCY04S50/14
Inventor 江岳文邓智宏
Owner FUZHOU UNIV
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