NDLI: Probabilistic assessment of state estimation capabilities for grid observation

Content Provider	IET Digital Library
Author	Augusto, Andre Abel Filho, Milton Brown Do Coutto Souza, Julio Cesar Stacchini de Miranda, Vladimiro
Abstract	State estimation (SE) has been considered the fulcrum of advanced computer-aided tools used to monitor, control, and optimise the performance of power grids. It is destined for the provision of a consistent real-time dataset, free of compromising errors. To the SE eye, observability is the faculty of seeing the actual system operating state. As such, it is vital to evaluate this faculty, especially in quantitative terms. Drawing a parallel between the financial market (in which investment grades – intended to signal the suitability of an investment – are assigned by credit rating agencies) and SE arena, this study proposes the establishment of observation grades. With a view to performing a reliable SE, these are defined as ratings capable of indicating that a measurement system (devoted to observing the state of a power grid under many different conditions), has a seal of approval, i.e. relatively low risk of being unsuccessful. The methodology proposed to express observation grades is based on the Monte Carlo simulation approach. The availability of measurement units and grid branches are adequately considered. Numerical results of a proof of concept study performed on the 24- and 118-bus benchmark systems illustrate the application and expected benefits of the proposed methodology.
Starting Page	2933
Ending Page	2941
Page Count	9
ISSN	17518687
Volume Number	10
e-ISSN	17518695
Issue Number	Issue 12, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/10/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.1406
Journal	IET Generation, Transmission & Distribution
Publisher Date	2016-09-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Grid Branches Grid Observation Measurement System Monte Carlo Method Monte Carlo Simulation Approach Power Grid Power System Measurement Power System Measurement And Metering Power System State Estimation Probabilistic Assessment Reliable SE State Estimation Capabilities
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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