Robust state estimator based on maximum exponential absolute value

Chen, Yanbo; Ma, Jin; Zhang, Pu; Liu, Feng; Mei, Shengwei

doi:10.1109/pesgm.2017.8274369

Cited by 14 publications

(23 citation statements)

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“…−(1/2) e I via (10), where the ith element is expressed by (12), II i is assumed to be unequal to zero. However, the particular measurement errors α satisfying the constraint (E − P)α = 0, which are known as the false data injections (FDIs), would lead to null II i and compromise the SE results obtained by residual-based algorithms [23,24].…”

Section: By R I Imentioning

confidence: 99%

“…For each percentage, 100 realisations are randomly simulated. Gross errors are produced by adding 50% relative errors to the true measured values [12]. Three reliability indices, i.e.…”

Section: Tests On Various Ieee Power Systems With Multiple Gross Errorsmentioning

confidence: 99%

“…In contrast to WLS, alternative robust SE algorithms are devoted to the improvement of estimation reliability. Typical robust SE algorithms, such as the weighted least absolute value (WLAV) algorithm [9], the maximum normal measurement rate algorithm [10], the maximum exponential square (MES) algorithm [11], and the maximum exponential absolute value algorithm [12], minimise the specific functions of measurement residuals. Based on them, the latest robust SE algorithms take full advantage of limited PMU to compensate other hybrid measurements for loss of reliability.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Greedy pursuit – an efficient approach from compressed sensing to robust state estimation

Liu

Jiang

et al. 2018

IET Generation, Transmission & Distribution

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Section: By R I Imentioning

confidence: 99%

“…For each percentage, 100 realisations are randomly simulated. Gross errors are produced by adding 50% relative errors to the true measured values [12]. Three reliability indices, i.e.…”

Section: Tests On Various Ieee Power Systems With Multiple Gross Errorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Greedy pursuit – an efficient approach from compressed sensing to robust state estimation

Liu

Jiang

et al. 2018

IET Generation, Transmission & Distribution

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“…How to quickly filter the data in order to obtain the authentic information is a key issue to be addressed. As a data filter, the traditional state estimation (SE) technology needs to be improved and will play a more and more important role in smart grids [1].…”

Section: Introductionmentioning

confidence: 99%

“…For remaining unbiased estimation despite the existence of different types of gross errors, various robust state estimators (RSEs) have been proposed. Recently, some interesting RSEs have been proposed for TSSE by [28, 29] and [1], respectively. The robustness of DSSE has been studied in [11, 12] and so on.…”

Section: Introductionmentioning

confidence: 99%

Generalised‐fast decoupled state estimator

Chen

Zhou

Fang³

et al. 2018

IET Generation, Transmission & Distribution

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A combined survey on distribution system state estimation and false data injection in cyber‐physical power distribution networks

Bhattar

Pindoriya

Sharma

2021

IET cyber-phys. syst.

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The penetration of renewable energy sources (RES) in distribution systems has entailed heavy deployment of monitoring and control infrastructure in the distribution system. This deployment of sensors and communication infrastructure has led to the emergence of a modern grid with a complex cyber-physical network. On one hand, the cyber-physical system can play a pivotal role in coordination and control of distribution systems through distribution system state estimation (DSSE). On the other hand, the risk caused by cyber-attack has emerged as a major challenge for grid operation. The modelling aspects, namely DC loads, plug-in-vehicle and distributed generators (DGs) in DSSE and security aspects in cyber-physical distribution systems, are highlighted herein. This paper is divided into different sections emphasising on the problems and challenges associated with DSSE, cyber-attack focussing primarily on impact of false data injection (FDI) attack and co-simulation platform for investigation of vulnerability of cyber-physical systems. A comparative study among various DSSE and challenges namely, pseudo-measurement, time synchronisation and communication issues are discussed. The potential investigation of FDI and need for a co-simulation platform in distribution systems for risk analysis are also addressed. The opportunities and future research in the field of cyber-physical distribution systems are discussed in depth. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Robust state estimator based on maximum exponential absolute value

Cited by 14 publications

References 0 publications

Greedy pursuit – an efficient approach from compressed sensing to robust state estimation

Greedy pursuit – an efficient approach from compressed sensing to robust state estimation

Generalised‐fast decoupled state estimator

A combined survey on distribution system state estimation and false data injection in cyber‐physical power distribution networks

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