NDLI: Event-triggered distributed dynamic state estimation with imperfect measurements over a finite horizon

Content Provider	IET Digital Library
Author	Chen, Haiyang Liu, Meiqin Zhang, Senlin
Abstract	This study addresses distributed state estimation problems for a power system subject to imperfect measurements over a finite horizon. The power system under discussion is assumed to be a time-variant model with varying delays, random non-linearity, and external disturbances. Imperfect measurements through the sensor network include both sensor saturations and signal quantisation. A set of novel distributed state estimators were designed, where each of them utilises the information from both the local sensor node and its neighbours according to the topology. To cater for the various package dropouts that are possible, a random process is introduced during the information transmission between each sensor node and the local estimator. In addition, a novel event-triggered mechanism is also developed for energy reduction. The main work focuses on the analysis and synthesis of event-triggered robust state estimators for the system being addressed, such that the estimation error is bounded in the mean square. In comparison to the existing literature, the transient performances over a finite horizon are emphasised here and a recursive algorithm is provided to obtain the estimator gains. Finally, a power system example is presented to validate the proposed estimator design laws.
Starting Page	2607
Ending Page	2622
Page Count	16
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 15, Oct (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2017.0111
Journal	IET Control Theory & Applications
Publisher Date	2017-07-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Control of Electric Power System Distributed Control Energy Reduction Event-triggered Distributed Dynamic State Estimation Event-triggered Mechanism Imperfect Measurement Information Transmission Power System Power System Control Recursive Algorithm Sensor Network Sensor Saturation Signal Quantisation State Estimation Time-variant Model
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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