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Available power transmission capacity calculation method, system, equipment and medium

A transmission capacity calculation and model calculation technology, applied in the field of power systems, can solve problems such as difficult to further improve accuracy and loss of useful information on input variables, so as to achieve the effect of optimizing power flow distribution and improving power transmission capacity

Pending Publication Date: 2022-05-13
CHINA ELECTRIC POWER RES INST +2
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Problems solved by technology

The existing algorithms based on classifier training ignore the topology of the network, simplify the input variables into Euclidean space data, and lose some useful information of the input variables, making it difficult to further improve the accuracy

Method used

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  • Available power transmission capacity calculation method, system, equipment and medium
  • Available power transmission capacity calculation method, system, equipment and medium
  • Available power transmission capacity calculation method, system, equipment and medium

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Embodiment approach

[0046] The rapid development of deep learning technology makes it possible to quickly collect and calculate the available transmission capacity strategy by mining historical data and prior knowledge without relying on physical models. To this end, a calculation method of available transmission capacity based on Graph Convolutional Network (GCN) is proposed. The present invention analyzes the characteristics of the calculation method of available transmission capacity based on GCN; then, constructs a deep learning model based on GCN, and establishes a mapping model between node injection power and available transmission capacity through historical data training; finally realizes the calculation by accumulating historical data Continuous revision of the model.

[0047] Based on the content of the present invention, relevant term explanations are given:

[0048] Available Transmission Capacity (ATC): The available transmission capacity of the grid between regions.

[0049] Grap...

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Abstract

The invention discloses an available transmission capacity calculation method, system, equipment and medium. The method comprises: acquiring to-be-calculated power grid node power; the to-be-calculated power grid node power is input into a pre-trained graph convolutional network model for calculation, and an available power transmission capacity calculation result is obtained; and outputting the calculation result of the available power transmission capacity. The graph convolution network model provided by the invention does not depend on a complex physical model, historical data can be fully mined, an ATC result can be quickly found by using priori knowledge, the time cost is far lower than that of a probability sampling algorithm, the calculation precision is high, and the maximum power transmission capability can be improved.

Description

technical field [0001] The invention belongs to the technical field of power systems, and in particular relates to a calculation method, system, equipment and medium for available power transmission capacity. Background technique [0002] In order to solve the problems of the depletion of traditional fossil energy and the increasing environmental pollution, the penetration rate of renewable energy represented by wind turbines and photovoltaics in the power grid is gradually increasing. When calculating ATC, it is necessary to consider the influence of renewable capacity output uncertainty on the transmission capacity of the power system, and reserve a part of the necessary transmission capacity in advance within the allowable range. A large amount of renewable energy makes the available transmission capacity model of the power grid more complex and more difficult to solve. In order to ensure the economical and stable operation of the power grid, it is urgent to develop a ne...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06G06K9/62G06N3/04G06N3/08H02J3/00
CPCG06Q50/06G06N3/08H02J3/00H02J2203/20G06N3/048G06N3/045G06F18/241Y02E40/70Y04S10/50
Inventor 蔡帜杨军峰朱军飞陈浩李京李辉王正纲王阳光刘静谢哓骞徐民黄国栋戴赛丁强崔晖许丹韩彬杨晓楠胡晨旭李博张加力胡晓静屈富敏常江李哲张瑞雯
Owner CHINA ELECTRIC POWER RES INST
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