Open AccessA bilinear robust state estimation method for electric thermal integrated energy system
Author(s) -
Xiaonan Yang,
Bo Sun,
Feng Han,
Yansheng Lang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/5/052085
Subject(s) - bilinear interpolation , state (computer science) , nonlinear system , quadratic equation , transformation (genetics) , state variable , mathematical optimization , mathematics , control theory (sociology) , computer science , energy (signal processing) , algorithm , control (management) , artificial intelligence , statistics , physics , biochemistry , geometry , chemistry , quantum mechanics , gene , thermodynamics
A bilinear robust state estimation method for electric thermal integrated energy system (IEHS) is proposed. First, the linear weighted least absolute value (WLAV) model of IEHS is constructed by introducing auxiliary variables, and then the state variables are estimated by solving a quadratic programming model with a nonlinear transformation. The advantage of the proposed method is that it has a high calculation efficiency. The effectiveness of the proposed method is verified on the IEHS test system.