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Electrical distribution networks state estimation

18th International Conference and Exhibition on Electricity Distribution (CIRED 2005), 2005
Many of the past work on distribution state estimation have been focused on the adoption of a transmission state estimation approach, without necessarily accounting for specific requirement distribution networks analysis. On distribution networks, typically, there are very few real-time measurements, and power consumption of each load is very uncertain.
A.A. Yaghoti, M. Parsa, V.J. Majd
openaire   +1 more source

Secure Distributed State Estimation for Microgrids With Eavesdroppers Based on Variable Decomposition

IEEE Transactions on Circuits and Systems Part 1: Regular Papers
Secure state estimation is becoming more popular due to the inherent vulnerabilities of communication networks in essence, which could give rise to potential data leakage and manipulation of microgrids. The paper addresses the issue of secure distributed
Peifeng Zhao   +4 more
semanticscholar   +1 more source

Event-triggered distributed state estimation over wireless sensor networks

at - Automatisierungstechnik, 2020
This paper focuses on the event-triggered distributed state estimation over sensor networks, in which each sensor node selectively transmits the local information to its neighbors for the reduced communication bandwidth and the prolonged network lifetime.
Dongdong Yu   +3 more
semanticscholar   +1 more source

A Distributed Multiarea State Estimation

2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE), 2018
The paper presents a hybrid technique (SFS-SA) for distributed multiarea SE. Two SE levels are considered such as local and coordination SE. In local SE, each area executes its own SE based on their local measurements. In coordination SE, each area exchanges border information (boundary measurements) which determines the system-wide state.
Hossam Mosbah, Mo. El-Hawary
openaire   +1 more source

Event-Triggered Distributed State Estimation for Cyber-Physical Systems Under DoS Attacks

IEEE Transactions on Cybernetics, 2020
This article investigates the event-triggered distributed state estimation problem for a class of cyber-physical systems (CPSs) with multiple transmission channels under denial-of-service (DoS) attacks.
Yan Liu, Guang‐Hong Yang
semanticscholar   +1 more source

Event-Triggered Distributed State Estimation for Multiagent Systems Under DoS Attacks

IEEE Transactions on Cybernetics, 2020
This article investigates the problem of event-triggered distributed state estimation for linear multiagent systems under denial-of-service (DoS) attacks.
Yuan-Cheng Sun, Guang‐Hong Yang
semanticscholar   +1 more source

Non-fragile distributed state estimation over sensor networks subject to DoS attacks: the almost sure stability

International Journal of Systems Science, 2020
This paper focuses on the non-fragile distributed state estimation of discrete-time nonlinear systems over sensor networks subject to DoS attacks, whose probabilistic characterisations are adopted to reflect the reality better.
Jinhua Song   +3 more
semanticscholar   +1 more source

Robust distributed state estimation for Markov coupled neural networks under imperfect measurements

Journal of the Franklin Institute, 2020
In this paper, the issue of robust distributed state estimation is investigated for Markov coupled neural networks in the discrete-time domain. Fully considering network-induced phenomena, the signal quantization and sensor saturation existed in actual ...
Xiaohui Hu   +4 more
semanticscholar   +1 more source

A Distributed Multiarea State Estimation

IEEE Transactions on Power Systems, 2011
This paper presents a new distributed state estimation method for multiarea power systems. Each area performs its own state estimation, using local measurements, and exchanges border information (estimated boundary states and measurements) at a coordination state estimator, which computes the system-wide state.
openaire   +1 more source

Event-based distributed state estimation for linear systems under unknown input and false data injection attack

Signal Processing, 2020
This paper investigates an event-based distributed state estimation problem for a linear system subject to unknown input and false data injection attack. The unknown input is treated as a process with a non-informative prior.
Li Li   +3 more
semanticscholar   +1 more source

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