With the application and development of combined heat and power (CHP) techniques, the
coupling of electrical and heat energy is gradually increasing. State estimation (SE) is …

In this paper, in order to enhance the numerical stability of the unscented Kalman filter (UKF)
used for power system dynamic state estimation, a new UKF with guaranteed positive …

In this paper, the empirical observability Gramian calculated around the operating region of
a power system is used to quantify the degree of observability of the system states under …

Phasor measurement units (PMUs) can be effectively utilized for the monitoring and control
of the power grid. As the cyber-world becomes increasingly embedded into power grids, the …

In this paper, a robust state estimator based on maximum exponential absolute value
(MEAV) is proposed by using the maximum correntropy criterion with Laplace kernel …

Kalman filters (KFs) and dynamic observers are two main classes of the dynamic state
estimation (DSE) routines. The Power system DSE has been implemented by various KFs …

The well-known largest normalized residual (LNR) test for bad data identification becomes
computationally inefficient for large-scale power systems containing a large volume of bad …

The real-time monitoring of the grid-connected renewable energy generations is of great
significance to the operation and control of active distribution systems (ADS). Considering …

Errors in network parameters can cause serious bias in state estimation solution and make
good measurements identified and discarded as bad data. This paper addresses this issue …

Accurate tracking the dynamics of power system plays a significant role in its reliability,
resilience and security. To achieve the reliable and precise estimation results, many …