A Novel Approach in Power System State Estimation Based on a System-State Controller

TL;DR

This paper introduces a new power system state estimation method that incorporates a system-state controller to better handle nonlinearities and system dynamics, improving robustness over traditional static methods.

Contribution

It presents a novel approach combining state-space control with power system state estimation to enhance robustness and responsiveness to system nonlinearities.

Findings

Simulation results confirm improved estimation accuracy.

The method demonstrates better handling of system nonlinearities.

Enhanced robustness compared to traditional SSE methods.

Abstract

This paper summarizes an optimal state estimation that previously has been used in power systems and discusses the robustness of the by using a system-state controller. Static state estimation (SSE) traditionally tries to linearize power systems' measurement functions in a simple Gauss-Newton method optimization problem to obtain the best estimation of our system states. However, SSE would not be able to respond to system dynamics very well since it ignores to consider system nonlinearities. A state-space controller and a new solution method is deployed to overcome that difficulties. A set of simulation results is provided to confirm the suitability of the solution.