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Electric power system power flow adjustment method based on reinforcement learning and multi-source data integration

A power system, reinforcement learning technology, applied in data processing applications, character and pattern recognition, instruments, etc., can solve problems such as low adjustment efficiency, difficult modeling and solving, and relying on manual experience to improve efficiency, facilitate storage and The effect of reading

Pending Publication Date: 2021-01-29
TSINGHUA UNIV +2
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  • Application Information

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Problems solved by technology

When solving the model, the convergent power flow is obtained by solving the power flow equation with constraints. This method is difficult to model and solve when the system scale is large; manual parameter adjustment relies heavily on manual experience, which is inefficient in adjustment, difficult to converge the power flow, and time-consuming. and the adjustment results are limited

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  • Electric power system power flow adjustment method based on reinforcement learning and multi-source data integration
  • Electric power system power flow adjustment method based on reinforcement learning and multi-source data integration
  • Electric power system power flow adjustment method based on reinforcement learning and multi-source data integration

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Embodiment Construction

[0026] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0027] The power system power flow adjustment method and device based on reinforcement learning and multi-source data integration proposed according to the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0028] First, a power system power flow adjustment method based on reinforcement learning and multi-source data integration proposed according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0029] figure 1 It i...

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Abstract

The invention discloses an electric power system power flow adjustment method and device based on reinforcement learning and multi-source data integration, and the method comprises the steps: integrating power flow data of an electric power system by database technology, storing the power flow data into a database, and extracting basic power flow data from the database, carrying out power flow sample generation on the basic power flow data by utilizing a multi-thread technology, and storing the generated power flow sample into the database; constructing a power system reinforcement learning environment, and constructing a value function training model suitable for power flow adjustment in the power system reinforcement learning environment; and based on an intelligent adjustment strategy of a reinforcement learning algorithm, according to the power flow data in the database, adopting an SARSA algorithm to train a value function training model of power flow adjustment so as to generatea power flow adjustment strategy of the power system. The method is more intelligent and automatic, is high in efficiency, and can quickly expand the power flow sample library.

Description

technical field [0001] The invention relates to the technical field of power system analysis and calculation, in particular to a power system power flow adjustment method and device based on reinforcement learning and multi-source data integration. Background technique [0002] In the process of analysis and compilation of power system operation mode, power flow calculation is undoubtedly the most basic and important. Multi-source heterogeneous data is difficult to store and analyze, which brings inconvenience to power system power flow analysis. In addition, in the calculation of the traditional power system method, the power flow of the power system is manually adjusted according to experience. This power flow adjustment method is relatively extensive and inefficient, and cannot meet the needs of the refined management of today's power system. [0003] As there are higher requirements for the refinement of the analysis of the operation mode of the power system, it is nece...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/214
Inventor 胡伟吴双仲立军盛银波郭秋婷
Owner TSINGHUA UNIV
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