重庆大学学报2024，Vol.47Issue(11)：65-80,16.DOI:10.11835/j.issn.1000-582X.2023.207
电-水耦合系统双线性加权最小二乘状态估计
Bilinear weighted least square state estimation of the electricity-water coupled system
崔镜心 1赵霞 1王骆2
作者信息
- 1. 重庆大学 电气工程学院,重庆 400044
- 2. 国网河北经研院,石家庄 050000
- 折叠
摘要
Abstract
Multi-energy flow state estimation is a critical area of research in the energy internet.Current research on the state estimation of electricity-water coupling system is still in its infancy,facing challenges such as poor adaptability to water network conditions and insufficient utilization of electricity-water coupling information.To address these issues,this paper proposes a bilinear weighted least square(WLS)state estimation method for water networks,considering the correction of the friction coefficient.By incorporating virtual measurements of water pumps and bi-directional transmission of coupling information,a bilinear WLS state estimation method is developed,suitable for interdependent,cooperative and joint operations of electricity-water coupling systems.The effectiveness of the proposed method is verified by an 11-node water network and two electricity-water coupling systems,formed by coupling with IEEE-14 node and IEEE-118 node power systems.Numerical results highlight the necessity of correcting the friction coefficient in water network state estimation,the computational efficiency and adaptability of the bilinear WLS method for low flow rate water networks,and the the improvement in accuracy,data consistency and observability achieved through cooperative and joint estimation for both power systems and water networks.关键词
能源互联网/状态估计/电力系统/水网/最小二乘/双线性估计Key words
energy internet/state estimation/power system/water network/least square/bilinear estimation分类
信息技术与安全科学引用本文复制引用
崔镜心,赵霞,王骆..电-水耦合系统双线性加权最小二乘状态估计[J].重庆大学学报,2024,47(11):65-80,16.
