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Distributed State Estimator Advances and Demonstration

A.P. Sakis Meliopoulos, George J. Cokkinides, Floyd Galvan, and Bruce Fardanesh
2008 Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)  
This results in a true distributed estimator. The results of the distributed state estimator are communicated to the control center where the overall system state is constructed.  ...  In this paper we report on a new approach that alleviates the sources of state estimator unreliability and at the same time distributes the computational procedure to each substation of the system, assuming  ...  Implementation and Demonstration Projects The distributed state estimator was demonstrated on two subsystems, each subsystem comprised two substations.  ... 
doi:10.1109/hicss.2008.127 dblp:conf/hicss/MeliopoulosCGF08 fatcat:fig7azzhu5g33oh3rwxiiuj4dm

Perspectives on State Estimation: Spot Estimates Versus Distributions

Vinay A. Bavdekar, Sirish L. Shah, Sachin C. Patwardhan
2012 IFAC Proceedings Volumes  
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.  ...  ACKNOWLEDGEMENTS The authors gratefully acknowledge the valuable insight and guidance received for this article via correspondence and discussions with T. Söderström, M. Simandl, T. Schön and V.  ... 
doi:10.3182/20120710-4-sg-2026.00154 fatcat:ohi7qtl33rc5fpjbsiulpfgnre

Distributed Robust Power System State Estimation [article]

Vassilis Kekatos, Georgios B. Giannakis
2012 arXiv   pre-print
By exploiting interesting links to the compressive sampling advances, the latter jointly estimates the state and identifies corrupted measurements.  ...  Deregulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for system-wide power system state estimation (PSSE).  ...  CONCLUSIONS Distributed and robust state estimators have been treated here under a systematic manner.  ... 
arXiv:1204.0991v2 fatcat:67syglu7knfwlnjagbf3rsder4

Distributed state estimation: a novel stopping criterion [article]

Sajjad Asefi, Sergei Parsegov, Elena Gryazina
2021 arXiv   pre-print
Distributed state estimation is a solution for the mentioned issues. There are different implementation methods introduced for it. The results of the paper are twofold.  ...  Next, we proposed and discussed a new distributed stopping criterion for the methods and above-mentioned factors are obtained as well.  ...  Advance state estimation can improve monitoring and control of the power system in the case of contingency occurring.  ... 
arXiv:2012.00647v2 fatcat:lpstevratbhnvbd4bgf6lpdn7e

Robust Matrix Completion State Estimation in Distribution Systems [article]

Bo Liu, Hongyu Wu, Yingchen Zhang, Rui Yang, Andrey Bernstein
2019 arXiv   pre-print
Due to the insufficient measurements in the distribution system state estimation (DSSE), full observability and redundant measurements are difficult to achieve without using the pseudo measurements.  ...  This paper proposes a robust matrix completion state estimation (RMCSE) to estimate the voltage in a distribution system under a low-observability condition.  ...  Department of Energy Office of Energy Efficiency and Renewable Energy Solar Energy Technologies Office.  ... 
arXiv:1902.02009v4 fatcat:vbvqmln6xzgw3gqpsh4fatoqgq

Gradient-Based Multi-Area Distribution System State Estimation [article]

Xinyang Zhou, Zhiyuan Liu, Yi Guo, Changhong Zhao, Jianqiao Huang, Lijun Chen
2020 arXiv   pre-print
The increasing distributed and renewable energy resources and controllable devices in distribution systems make fast distribution system state estimation (DSSE) crucial in system monitoring and control  ...  The proposed algorithm enables distributed and parallel computation of the state estimation problem without compromising any performance.  ...  Ahmed Zamzam at National Renewable Energy Laboratory for meaningful discussions and the anonymous reviewers for constructive suggestions to help improve this work.  ... 
arXiv:1909.11266v4 fatcat:zpqilf7fl5a37ibwtutiaps52y

Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning [article]

Kursat Rasim Mestav, Jaime Luengo-Rozas, Lang Tong
2019 arXiv   pre-print
Simulations illustrate the accuracy of Bayesian state estimation for unobservable systems and demonstrate the benefit of employing a deep neural network.  ...  The problem of state estimation for unobservable distribution systems is considered. A deep learning approach to Bayesian state estimation is proposed for real-time applications.  ...  The advent of smart meters and advanced metering infrastructure provide new sources of measurements. Attempts have been made to incorporate smart meter data for state estimation [6] - [8] .  ... 
arXiv:1811.02756v4 fatcat:bch4d2d74bg4rkupwwzbuvm574

State estimation distributed processing [for power systems]

R. Ebrahimian, R. Baldick
2000 IEEE Transactions on Power Systems  
We apply the Auxiliary Problem Principle to develop a distributed state estimator, demonstrating performance on the Electric Reliability Council of Texas (ERCOT) and the Southwest Power Pool (SPP) systems  ...  This paper presents an application of a parallel algorithm to Power Systems State Estimation.  ...  We have implemented this method of bad data detection to demonstrate the performance of the distributed state estimator in the presence of bad data.  ... 
doi:10.1109/59.898096 fatcat:iz4cmasycbfwdlki2lwahklnuq

State Estimation Techniques for Electric Power Distribution Systems

Barry Hayes, Milan Prodanovic
2014 2014 European Modelling Symposium  
This paper provides a survey of techniques for state estimation in electric power distribution systems.  ...  While state estimation has been applied in the monitoring and control of electricity transmission systems for several decades, it has not been widely implemented in distribution grids to date.  ...  The use of smart meter data to estimate flows, voltages, and losses in the low voltage distribution network is demonstrated in [58] .  ... 
doi:10.1109/ems.2014.76 dblp:conf/ems/HayesP14 fatcat:dzrtpfynbfcjbmtvuehsnqjgai

Dynamic Distribution State Estimation Using Synchrophasor Data [article]

Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto, Hao Zhu
2019 arXiv   pre-print
The increasing deployment of distribution-level phasor measurement units (PMUs) calls for dynamic distribution state estimation (DDSE) approaches that tap into high-rate measurements to maintain a comprehensive  ...  view of the distribution-system state in real time.  ...  Distribution dynamic state estimation (DDSE) is a fundamental tool that can enable general distribution operations and control tasks.  ... 
arXiv:1901.02554v1 fatcat:xwpgm6skrvgp7izdemfyfz4bla

Cooperative distributed state estimation: Local observability relaxed

Le Xie, Dae-Hyun Choi, Soummya Kar
2011 2011 IEEE Power and Energy Society General Meeting  
This paper explores a fully distributed state estimation algorithm in multi-area interconnected power systems.  ...  ; (2) communication structure can be different than the physical topology of the power network; and (3) no central coordinator is needed for the state estimation in each local control area to achieve provable  ...  A parallel and distributed state estimation is envisioned in [9] .  ... 
doi:10.1109/pes.2011.6038974 fatcat:fu5pszxounc25a7mq2fv2vqr3u

Distributed State Estimation With Dimension Reduction Preprocessing

2014 IEEE Transactions on Signal Processing  
System state estimation relies heavily on the measurements.  ...  With the advance of sensing technology, the ability to measure is no longer a bottleneck in many systems, and more and more researchers now focus on the rich-information setting, i.e., big data.  ...  In this paper, we focus on the two-level distributed state estimation problem in this system where the measurement vector is partitioned into multiple vectors 's, and each of them is defined as a block  ... 
doi:10.1109/tsp.2014.2323021 fatcat:4o3dj6znlvg7flrv5jxc2twdhm

Tracking State Estimation in Distribution Networks Using Distribution-level Synchrophasor Data

Mohammad Farajollahi, Alireza Shahsavari, Hamed Mohsenian-Rad
2018 2018 IEEE Power & Energy Society General Meeting (PESGM)  
State estimation is often a challenging task in distribution systems due to numerous nodes and limited number of measurement sources.  ...  the 5 to 15 minutes intervals of a typical distribution system state estimation cycle, without the need to rerun the whole state estimation.  ...  Distribution System State Estimation (DSSE) is a cornerstone tool in advance distribution system operation.  ... 
doi:10.1109/pesgm.2018.8586273 fatcat:aprfyukmavb77hddntgt4n3x5a

Distribution System State Estimation Using the Hamiltonian Cycle Theory

Jonatas Boas Leite, Jose Roberto Sanches Mantovani
2016 IEEE Transactions on Smart Grid  
Consequently, the advanced metering infrastructure is providing a large amount of synchronized metering data with high accuracy and resolution, which favors the development of state estimation procedures  ...  Index Terms-Advanced metering infrastructure (AMI), automatic operations, distribution management system (DMS), Hamiltonian cycle, smart grid, state estimation. 1949-3053  ...  The addition of quantization noise demonstrated the error propagation and its reduced impact on the state estimation.  ... 
doi:10.1109/tsg.2015.2448940 fatcat:skc35pwt6vgodi2b5nbm6xaof4

Improving distribution system state estimation with synthetic measurements

Jose M. Cano, Pablo Arboleya, Mahmoud Rashad Ahmed, Md Rejwanur R. Mojumdar, Gonzalo A. Orcajo
2021 International Journal of Electrical Power & Energy Systems  
A B S T R A C T Distribution state estimation is a desired feature of modern power systems.  ...  The availability of measurements from smart meters has opened the door to extend the application of state estimation techniques down to end customers, preferably at the secondary distribution transformer  ...  V base = 400/ ̅̅̅ 3 √ V Conclusion The light coupling between phases poses a challenge to the application of distribution state estimation techniques at the LV level.  ... 
doi:10.1016/j.ijepes.2020.106751 fatcat:7iiwxglksjcfhi7utjkozl2vsu
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