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Wind power aggregator day-ahead scheduling mechanism in regional power grid

A technology of regional power grid and electrical aggregation, applied in computer components, complex mathematical operations, forecasting, etc.

Pending Publication Date: 2022-01-21
NR ENG CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Renewable energy sources such as wind power and photovoltaics account for an increasing proportion of power generation capacity; however, due to the variability and unpredictability of renewable energy sources such as wind energy and solar energy, when renewable energy is incorporated into the current grid dispatch, there are difficult problems to digest;

Method used

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  • Wind power aggregator day-ahead scheduling mechanism in regional power grid
  • Wind power aggregator day-ahead scheduling mechanism in regional power grid
  • Wind power aggregator day-ahead scheduling mechanism in regional power grid

Examples

Experimental program
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Embodiment

[0138] Given the wind power generation distribution of wind farm 1 in the first hour fitted by the Gaussian mixture model, such as figure 1 Shown; This embodiment will carry out case study based on the historical data of power grid in a certain area, to verify the main results; the 7 wind turbines in the data are very close, and the wind power generation has been normalized; for the sake of simplicity, the emphasis will be on On the data of the first hour; for each wind farm, use K-means clustering to divide the nominal capacity into K clusters; choose K=5 in the study; the center of the cluster is listed in Table 1, which is the rated capacity of the wind farm partition.

[0139] Table 1 WPP rated capacity partition

[0140]

[0141] As an approximation, assume that each realization is drawn from the nearest component of the mixture model, e.g. when WPP1 realizes generation at 0.15, it is considered to be drawn from the component centered at 0.16, so θ 1 = 2, which is p...

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Abstract

The invention discloses a wind power aggregator day-ahead scheduling mechanism in a regional power grid, and belongs to the technical field of power scheduling. The prediction of a wind power generation capacity by wind power plants (WPP) is more accurate than that of wind power aggregators; the wind power generation prediction is private information of the wind power plants; the wind power aggregators aim to stimulate each wind power plant to disclose real private information and provide payment for the wind power plants as little as possible; because the geographic positions of the wind power plants are close, the wind power generation prediction result is generally related. Under the condition, the wind power aggregator day-ahead scheduling mechanism in a regional power grid is constructed; finally, a case research is carried out on the basis of actual data of a certain wind power aggregator, and the effectiveness of the technical scheme is verified actually.

Description

technical field [0001] The invention belongs to the technical field of power dispatching, and in particular relates to a day-ahead dispatching mechanism for wind power aggregators in regional power grids. Background technique [0002] Renewable energy sources such as wind power and photovoltaics account for an increasing proportion of power generation capacity; however, due to the variability and unpredictability of renewable energy sources such as wind energy and solar energy, when renewable energy is incorporated into the current grid dispatch, there are difficult problems to digest; [0003] Aggregating different wind power resources together can reduce the overall variability, which is beneficial to grid dispatching and wind farms; therefore, the profit under the aggregation of wind farms may be greater than the total profit under the participation of wind farms alone; the random VCG mechanism is used An effective method to solve the wind farm aggregation uncertainty sc...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06G06F17/18G06K9/62
CPCG06Q10/06313G06Q10/04G06Q50/06G06F17/18G06F18/23213Y02A90/10
Inventor 毛建维夏可青徐晓亮赵月辉陈根军王永朱正国肖娟张子英
Owner NR ENG CO LTD