NDLI: Real-time transient stability assessment based on centre-of-inertia estimation from phasor measurement unit records

Content Provider	IET Digital Library
Author	Cepeda, Jaime C. Rueda, José L. Colomé, Delia G. Echeverría, Diego E.
Abstract	Several smart grid applications have recently been devised in order to timely perform supervisory functions along with self-healing and adaptive countermeasures based on system-wide analysis, with the ultimate goal of reducing the risks associated with potentially insecure operating conditions. Real-time transient stability assessment (TSA) belongs to this type of applications, which allows deciding and coordinating pertinent corrective control actions depending on the evolution of post-fault rotor-angle deviations. This study presents a novel approach for carrying out real-time TSA based on prediction of area-based centre-of-inertia (COI) referred rotor angles from phasor measurement unit (PMU) measurements. Monte Carlo-based procedures are performed to iteratively evaluate the system transient stability response, considering the operational statistics related to loading condition changes and fault occurrence rates, in order to build a knowledge database for PMU and COI-referred rotor-angles as well as to screen those relevant PMU signals that allows ensuring high observability of slow and fast dynamic phenomena. The database is employed for structuring and training an intelligent COI-referred rotor-angle regressor based on support vector machines [support vector regressor (SVR)] to be used for real-time TSA from selected PMUs. Besides, the SVR is optimally tuned by using the swarm variant of the mean-variance mapping optimisation. The proposal is tested on the IEEE New England 39-bus system. Results demonstrate the feasibility of the methodology in estimating the COI-referred rotor angles, which enables alerting about real-time transient stability threats per system areas, for which a transient stability index is also computed.
Starting Page	1363
Ending Page	1376
Page Count	14
ISSN	17518687
Volume Number	8
e-ISSN	17518695
Issue Number	Issue 8, Aug (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/8/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2013.0616
Journal	IET Generation, Transmission & Distribution
Publisher Date	2014-02-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Centre-of-inertia Estimation COI Control of Electric Power System Corrective Control Actions IEEE New England 39-bus System Mean-variance Mapping Optimisation Monte Carlo Based Procedures Monte Carlo Method Observability Operational Statistics Phasor Measurement Phasor Measurement Unit Measurement PMU Post-fault Rotor-angle Deviations Power System Control Power System Fault Power System Measurement And Metering Power System Transient Stability Real Time Transient Stability Assessment Rotors Smart Grid Smart Power Grid Support Vector Machine Transient Stability Index TSA
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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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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