多能流状态估计是能源互联网的重要研究领域。目前，关于电-水耦合系统状态估计的研究刚起步，还存在对水网工况适应性差、对电-水耦合信息利用不充分等问题。为此，提出一种考虑管道摩阻系数修正的水网双线性最小二乘（weighted least square，WLS）状态估计方法，并进一步基于水泵虚拟测量构造电-水耦合信息双向传递，提出适用于电-水耦合系统分立运行、协同运行和联合运行的双线性WLS状态估计方法。用11节点水网及其与IEEE-14节点、IEEE-118节点电网耦合形成的2个电-水耦合系统验证了所提双线性WLS估计的有效性。算例结果证明了水网状态估计中修正管道摩阻系数的必要性与双线性WLS估计方法在计算效率与小流量水网适应性方面的优越性，以及协同估计与联合估计在提升电网/水网状态估计精度、数据一致性与可观性方面的有效性。

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.

TM732