Online estimation of SOH for lithium-ion battery based on SSA-Elman neural network

Y Guo, D Yang, Y Zhang, L Wang… - Protection and Control of …, 2022 - ieeexplore.ieee.org
The estimation of state of health (SOH) of a lithium-ion battery (LIB) is of great significance to
system safety and economic development. This paper proposes a SOH estimation method …

A survey on hybrid scada/wams state estimation methodologies in electric power transmission systems

O Darmis, G Korres - Energies, 2023 - mdpi.com
State estimation (SE) is an essential tool of energy management systems (EMS), providing
power system operators with an overall grasp of the actual power system operating …

A data-driven koopman approach for power system nonlinear dynamic observability analysis

Y Xu, Q Wang, L Mili, Z Zheng, W Gu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A prerequisite to dynamic state estimation of a stochastic nonlinear dynamic model of a
power system is its observability analysis. However, due to the model nonlinearity, the …

Physics-informed graphical neural network for power system state estimation

QH Ngo, BLH Nguyen, TV Vu, J Zhang, T Ngo - Applied Energy, 2024 - Elsevier
State estimation is highly critical for accurately observing the dynamic behavior of the power
grids and minimizing risks from cyber threats. However, existing state estimation methods …

[PDF][PDF] 融入拓扑知识的图神经网络配电网抗差状态估计方法

胡家祥, 曹迪, 胡维昊, 陈健军, 陈哲 - 电力系统自动化, 2023 - epjournal.csee.org.cn
量测信息少, 量测精度不足是影响配电网状态估计精度的重要问题. 基于确定物理拓扑的传统
算法依赖于配电网精确参数, 而普通的神经网络模型容易受到异常值与缺失值的干扰 …

Deep Neural Network-Based State Estimator for Transmission System Considering Practical Implementation Challenges

AC Varghese, H Shah, B Azimian, A Pal… - Journal of Modern …, 2024 - ieeexplore.ieee.org
As the phasor measurement unit (PMU) placement problem involves a cost-benefit trade-off,
more PMUs get placed on the higher voltage buses. However, this causes many of the lower …

ST-AGNet: Dynamic power system state prediction with spatial–temporal attention graph-based network

S Zhang, S Zhang, JQ James, X Wei - Applied Energy, 2024 - Elsevier
Accurate and timely prediction of power system states is one of the most important
challenging tasks in modern power systems. Considering the integration of renewable …

Robust Distribution System State Estimation Considering Anomalous Real-Time Measurements and Topology Change

J Hu, W Hu, D Cao, J Chen… - Journal of Modern …, 2025 - ieeexplore.ieee.org
This paper develops a physics-guided graph network to enhance the robustness of
distribution system state estimation (DSSE) against anomalous real-time measurements, as …

[HTML][HTML] Transient stability enhancement control strategy based on grid dispatching for multi-paralleled grid forming inverters during LVRT

Z Chen, J Yao, W He, Y Luo, H Xie, Z Zou - International Journal of …, 2024 - Elsevier
In this article, the transient synchronization process of multi-paralleled grid forming (GFM)
inverters is studied detailly. Firstly, based on the multi-paralleled inverters control structure …

Robust State Estimation Method Based on Mahalanobis Distance Under Non-Gauss Noise

H Zhang, Q Xu, Y Xie, X Lin, R Ding, Y Liu, C Qiu… - IEEE …, 2024 - ieeexplore.ieee.org
Under non-Gauss noise condition, the performance of traditional state estimation methods
based on Gauss measurement noise will be greatly reduced. In order to solve this problem …