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Research On Automatic Convergence Adjustment Method Of Flow Calculation On Large-Scale Power Grid Based On Knowledge Graph

Posted on:2022-10-22Degree:MasterType:Thesis
Country:ChinaCandidate:H K HuangFull Text:PDF
GTID:2492306572950919Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the continuous development of the times,people pay more and more attention to the digitization and intellectualization of the industrial field.However,in the field of traditional industry,there are many occasions that extremely dependent on artificial experience and knowledge.This forces us to find a suitable way to express knowledge to realize the automation process.Aiming at the power flow adjustment of large power grid,this paper studies the automatic method of power flow calculation convergence adjustment based on knowledge graph.The main contents of this paper are as follows:(1)A knowledge representation model suitable for power flow adjustment is designed.This paper analyzes the deficiency of the existing traditional knowledge representation for the expression ability of the artificial experience knowledge of power flow adjustment,and fully considers the characteristics of the combination of qualitative knowledge and quantitative knowledge,and the combination of related knowledge and rational knowledge in the artificial experience knowledge needed in the process of power flow adjustment,Based on this,the knowledge graph in the field of power flow adjustment is constructed.(2)The method of automatic transmission section searching in the process of power flow adjustment is studied.When the power flow adjustment is difficult,transmission section searching is an important auxiliary method in the process of power flow adjustment.In order to assist the automatic adjustment of power flow and speed up the efficiency of automatic adjustment of power flow,under the guidance of artificial experience knowledge,this paper abstracts the graph theory model of transmission section searching problem in the process of power flow adjustment,and designs the automatic transmission section searching algorithm with the help of reinforcement learning and greedy algorithm according to the characteristics of the problem.(3)The automatic adjustment method of power flow calculation is studied.In this paper,based on the knowledge graph constructed by human experience and the transmission section searching algorithm,an automatic adjustment method of power flow calculation is designed.This paper analyzes the process of manual adjustment in practical application,abstracts and simulates the process,and designs corresponding modules to realize the automation of power flow adjustment process.To sum up,based on the knowledge graph,this paper effectively abstracts and represents the artificial experience knowledge in the process of power flow adjustment,constructs the knowledge graph in the field of power flow adjustment,and applies it to the automatic method of power flow adjustment combined with the transmission section searching method designed in this paper.The experimental results show that the adjustment efficiency and results of the automatic adjustment method in the CEPRI36 node example can be equivalent to that of manual adjustment,which saves manpower and material resources to a certain extent.
Keywords/Search Tags:knowledge graph, power grid flow calculation, key section of power grid, reinforcement learning
PDF Full Text Request
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