Bilinear Robust State Estimation Based on Weighted Least Absolute Value for Integrated Electricity-gas System

被引：0
|
作者：
Zheng S. [1 ]
Liu J. [1 ]
Chen Y. [1 ]
Qi B. [1 ]
机构：
[1] School of Electrical & Electronic Engineering, North China Electric Power University, Changping District, Beijing
来源：
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Integrated electricity-gas system; Integrated energy system; Linearized measurement equations; Robust state estimation;
D O I：
10.13335/j.1000-3673.pst.2018.2410
中图分类号：
学科分类号：
摘要：
Integrated electricity-gas system (IEGS) attracts more and more attention in China and abroad because of its complementary physical characteristics-electricity is well transmissible, and natural gas is well storable. In order to achieve comprehensive, real-time and accurate perception of IEGS, state estimation for IEGS (IEGS-SE) is needed. However, difficulty in initializing state variables of the gas network is not overcome when gradient based method was adopted. Besides, existing IEGS-SE lacks robustness and high efficiency. Aiming at above problems, this paper proposes a bilinear robust state estimator based on weighted least absolute value (WLAV) for IEGS. Firstly, on the basis of exactly linearized measurement equations of power system, this paper proposes exactly linearized measurement equations of natural gas network similarly, and linearized equations of compressor and coupling elements are also given. Secondly, a bilinear robust state estimation based on WLAV for IEGS is proposed based on the linearized measurement equations. Finally, simulation results prove validity of the proposed algorithm in solving initialization problem of the state variables in gas networks, its good robustness and high efficiency. © 2019, Power System Technology Press. All right reserved.
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页码：3733 / 3742
页数：9
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