Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work

TLDR

The IEEE Task Force on Power System Dynamic State and Parameter Estimation was formed to explore how dynamic state estimation can improve reliability, security, and resilience of electric power systems, highlighting its motivations and engineering value. The paper reviews the Task Force’s technical activities and proposes a unified framework clarifying key concepts of dynamic, forecasting‑aided, tracking, and static state estimation. It introduces a unified framework that defines and distinguishes dynamic, forecasting‑aided, tracking, and static state estimation concepts. The paper outlines potential applications of DSE, summarizes current progress in dynamic state and parameter estimation, and identifies future research directions for the power engineering community.

Abstract

This paper summarizes the technical activities of the Task Force on Power System Dynamic State and Parameter Estimation. This Task Force was established by the IEEE Working Group on State Estimation Algorithms to investigate the added benefits of dynamic state and parameter estimation for the enhancement of the reliability, security, and resilience of electric power systems. The motivations and engineering values of dynamic state estimation (DSE) are discussed in detail. Then, a set of potential applications that will rely on DSE is presented and discussed. Furthermore, a unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, tracking state estimation, and static state estimation. An overview of the current progress in DSE and dynamic parameter estimation is provided. The paper also provides future research needs and directions for the power engineering community.