Imperial College London
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ProfessorBikashPal

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Power Systems
 
 
 
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Contact

 

+44 (0)20 7594 6172b.pal Website CV

 
 
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Assistant

 

Miss Guler Eroglu +44 (0)20 7594 6170

 
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Location

 

1104Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kumar:2020:10.1049/iet-gtd.2020.0260,
author = {Kumar, CS and Rajawat, K and Chakrabarti, S and Pal, BC},
doi = {10.1049/iet-gtd.2020.0260},
journal = {IET Generation, Transmission and Distribution},
pages = {3250--3259},
title = {Robust distribution system state estimation with hybrid measurements},
url = {http://dx.doi.org/10.1049/iet-gtd.2020.0260},
volume = {14},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - With growing connection of distributed energy resources, availability of demand side response technologies, deployment of smart meters, the distribution system needs advanced network automation for running the system efficiently. State estimation is the core driver of network automation. While the output from SMs will make the state estimation more accurate, advanced metering infrastructures come with several challenges such as noisy, erroneous measurement including lost or missed measurements, exposure to cyber attack and so on. This study proposes a three-phase unbalanced distribution system state estimation which is robust against noisy distribution system measurements, bad data attacks and missing or delayed measurements. This method considers measurement from hybrid sources such as SCADA, micro-phasor measurement units (μμPMUs) and SMs. Kalman smoother is used to fill the missing measurements and expectation-maximisation based forecasting is used to interpolate the hybrid measurements to a common timestamp and compensate for the delay in SM measurements. Extensive numerical comparisons are made on IEEE 13, 37 and 123 bus systems to test the robustness of the proposed DSSE against delayed SM measurements and bad or noisy data. An IEEE 24 bus system is modelled and real-time measurement devices are interfaced to it in Hypersim. The data from the hybrid measurement devices of IIT Kanpur smart grid is also used to test the robustness of the proposed method.
AU  - Kumar,CS
AU  - Rajawat,K
AU  - Chakrabarti,S
AU  - Pal,BC
DO  - 10.1049/iet-gtd.2020.0260
EP  - 3259
PY  - 2020///
SN  - 1350-2360
SP  - 3250
TI  - Robust distribution system state estimation with hybrid measurements
T2  - IET Generation, Transmission and Distribution
UR  - http://dx.doi.org/10.1049/iet-gtd.2020.0260
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000557542300014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-gtd.2020.0260
UR  - http://hdl.handle.net/10044/1/93092
VL  - 14
ER  -
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