Transmission Line Importance Evaluation Based on Timing Operating Data

doi:10.3969/j.issn.1000-7229.2019.01.010

Abstract

Abstract: In view of the traditional way of thinking based on the simulation of physical model， this paper presents a framework for evaluating the importance of transmission lines in different operation modes based on actual operation data. Firstly， according to the active tidal current data samples of power transmission lines， this paper classifies the typical operation modes of power transmission network by two-step clustering technique based on fuzzy C clustering （FCM） and pedigree clustering， and establishes a typical scenario；Then a new method of calculating the entropy of timing power flow is proposed and combined with the typical correlation coefficient theory to form a new transmission line importance index， which is used to evaluate the importance of transmission line in each typical operation scenario to overcome the time-invariant characteristics in the past traditional evaluation of the key lines. Finally， according to the complex network theory， the conclusions of the transmission network are analyzed and compared from the perspective of the topological structure， and a reasonable explanation of the relevant operating characteristics is given to prove the rationality of the framework proposed in this paper.

Key words: actual operation data, clustering, tidal power flow entropy, typical correlation coefficient, evaluation of the key lines

CLC Number:

TM 712

YANG Zhiyu， LIU Junyong， LIU Youbo， WEN Lili. Transmission Line Importance Evaluation Based on Timing Operating Data[J]. Electric Power Construction, 2019, 40(1): 77-85.

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