Results 291 to 300 of about 1,808,653 (333)

Security distributed state estimation for nonlinear networked systems against DoS attacks

International Journal of Robust and Nonlinear Control, 2019
This paper is concerned with security distributed state estimation for nonlinear networked systems against denial‐of‐service attacks. By taking the effects of resource constraints into consideration, an event‐triggered scheme and a quantization mechanism
Jinliang Liu, W. Suo, Lijuan Zha, E. Tian, Xiangpeng Xie   +4 more
semanticscholar   +1 more source

Robust distributed state estimation of active distribution networks considering communication failures

, 2020
Due to the large scale and three-phase unbalance problem of active distribution networks (ADNs), traditional centralized state estimation (CSE) cannot meet the requirements on estimation accuracy and efficiency for real-time analysis and control of ...
Tingting Zhang, Peiran Yuan, Yaxin Du, Wen Zhang, Jian Chen   +4 more
semanticscholar   +1 more source

Perspectives on State Estimation: Spot Estimates Versus Distributions

IFAC Proceedings Volumes, 2012
Abstract The conventional Kalman filter gives an analytical expression for the spot estimate of the states, which is the mean of the assumed Gaussian distribution. Conventional Bayesian state estimators are developed under the assumption that the mean of the posterior of the states is the ‘best' estimate.
Vinay A. Bavdekar, Sirish L. Shah, Sachin C. Patwardhan   +2 more
openaire   +1 more source

Forming Distributed State Estimation Network From Decentralized Estimators

IEEE Transactions on Control Systems Technology, 2019
In this paper, we focus on the distributed state estimation of nonlinear systems comprised of several subsystems. We assume that a decentralized state estimation system already exists for the nonlinear system, where the local estimators can be of different types. In order to achieve improved estimation performance, the existing decentralized estimators
Xunyuan Yin, Jing Zeng, Jinfeng Liu
openaire   +1 more source

Distributed state estimation technique for active distribution networks

2007 42nd International Universities Power Engineering Conference, 2007
The need for higher frequency in state estimation execution covering larger supervised networks has led to the investigation of faster and numerically more stable state estimation algorithms. However, technical developments in distributed energy management systems based on fast data communication networks open up the possibility of parallel or ...
L. Ramesh, S. P. Chowdhury, S. Chowdhury, A. A. Natarajan, Y. H. Song, P. K. Goswami   +5 more
openaire   +1 more source

Field testing of distribution state estimator

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), 2013
State Estimator is the basic functionality necessary for the “smart” operation of power networks, both in transmission and distribution side. Being integrated in a power management system and facing different quality of network data, robustness and efficiency are essential to provide accurate estimation of a power network operation state.
N. Katic, null Zhou Yongji, null Li Fei, G. Svenda   +3 more
openaire   +1 more source

State estimation technique for distribution networks

2005 IEEE Russia Power Tech, 2005
From the viewpoint of monitoring the distribution network can be divided into operatively observable and unobservable part. The observable part is controlled and monitored by SCADA. Generally the data available with the help of SCADA will need correction by means of state estimation technique.
M. Meldorf, U. Treufeldt, J. Kilter
openaire   +1 more source

Distributed State Estimator Advances and Demonstration

Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 2008
Present state estimator performance is not 100% reliable. Specifically, there is significant probability that the state estimators may not converge to an acceptable solution. On an industry wide basis, the probability of non convergence is about 5%. The reasons for this performance have been investigated and have been reported in earlier papers.
 A.P. Sakis Meliopoulos, George J. Cokkinides, Floyd Galvan,  and Bruce Fardanesh   +3 more
openaire   +1 more source

Enhancement of opacity for distributed state estimation in cyber-physical systems

at - Automatisierungstechnik, 2022
Liwei An, Guang‐Hong Yang
semanticscholar   +1 more source

Toward Data Integrity Attacks Against Distributed Dynamic State Estimation in Smart Grid

IEEE Transactions on Automation Science and Engineering
With the continuous expansion of the power grid nodes scale, traditional centralized state estimation method shows certain limitations in estimation efficiency and accuracy. Recently, some power grids adopt a distributed state estimation method, in which
Dou An, Feiye Zhang, Feifei Cui, Qingyu Yang   +3 more
semanticscholar   +1 more source