STPGTN–A Multi-Branch Parameters Identification Method Considering Spatial Constraints and Transient Measurement Data

نویسندگان

چکیده

Transmission line (TL) Parameter Identification (PI) method plays an essential role in the transmission system. The existing PI methods usually have two limitations: (1) These only model for single TL, and can not consider topology connection of multiple branches simultaneous identification. (2) Transient bad data is ignored by methods, random selection terminal section may cause distortion serious consequences. Therefore, a multi-task considering TLs’ spatial constraints massive electrical proposed this paper. Graph Attention Network module used to draw TL into node calculate its influence coefficient network. Multi-Task strategy Hard Sharing identify conductance simultaneously. Experiments show that has good accuracy robustness. Due consideration constraints, also obtain more accurate values under different training testing conditions.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Learning the Parameters of Global Constraints Using Branch-and-Bound

Precise constraint satisfaction modeling requires specific knowledge acquired from multiple past cases. We address this issue with a general branch-and-bound algorithm that learns the parameters of a given global constraint from a small set of positive solutions. The idea is to cleverly explore the possible combinations taken by the constraint’s parameters without explicitly enumerating all com...

متن کامل

An Enhanced Spatial Branch-and-Bound Method in Global Optimization with Nonconvex Constraints

We discuss some difficulties in determining valid upper bounds in spatial branch-and-bound methods for global minimization in the presence of nonconvex constraints. In fact, two examples illustrate that standard techniques for the construction of upper bounds may fail in this setting. Instead, we propose to perturb infeasible iterates along Mangasarian-Fromovitz directions to feasible points wh...

متن کامل

The Rough Method for Spatial Data Subzone Similarity Measurement

There are two methods for GIS similarity measurement problem, one is cross-coefficient for GIS attribute similarity measurement, and the other is spatial autocorrelation that is based on spatial location. These methods can not calculate subzone similarity problem based on universal background. The rough measurement based on membership function solved this problem well. In this paper, we used ro...

متن کامل

Simultaneous identification and correction of measurement and branch parameter errors

The performance of the state estimation (SE) depends on the accuracy of the received measured data, as well as the parameter data of the power system. In this paper, a new algorithm is proposed for the simultaneous identification and correction of measurement and branch parameter errors (series and shunt admittances) in the power system SE problem. The proposed method uses Lagrange multipliers ...

متن کامل

Spatial prediction of soil electrical conductivity using soil axillary data, soft data derived from general linear model and error measurement

     Indirect measurement of soil electrical conductivity (EC) has become a major data source in spatial/temporal monitoring of soil salinity. However, in many cases, the weak correlation between direct and indirect measurement of EC has reduced the accuracy and performance of the predicted maps. The objective of this research was to estimate soil EC based on a general linear model via using se...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Cmes-computer Modeling in Engineering & Sciences

سال: 2023

ISSN: ['1526-1492', '1526-1506']

DOI: https://doi.org/10.32604/cmes.2023.025405