Spatiotemporal Pattern Analysis of Nodal Inertia using Convex Combination of Walks of Generator Nodes in Varying Inertia System

The distinct requirement of high control and faster frequency regulation from wind turbine generator (WTG) needs to look at the network's local and global vulnerabilities. In line with the above objective, the article elucidates 1) The role of generation units' contribution in handling the...

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Bibliographic Details
Published inIEEE transactions on power systems Vol. 38; no. 5; pp. 1 - 13
Main Authors Prasad, Rashmi, Padhy, Narayana Prasad
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:The distinct requirement of high control and faster frequency regulation from wind turbine generator (WTG) needs to look at the network's local and global vulnerabilities. In line with the above objective, the article elucidates 1) The role of generation units' contribution in handling the disturbances and their propagation in the network, and 2)The behavior of dynamic response of the nodes in the presence of faster frequency regulation action from WTG. The authors propose a novel online Nodal Inertia Index (NII) that considers the network's structural features and generator dynamic response in the varying inertia system. NII investigates the inherent property of the distribution of inertia in the system by the concept of graph theory convex combination of walks of generator nodes. Further, the article explores the dynamic response of nodes (DRN) in terms of disturbance location from the generator bus and also considers generators' internal interactions. DRN employs the Fiedler vector to observe the global response and locational impact. The application of NII and DRN in selecting reserve percentages of the WTG is showcased. All the analyses are performed in the modified IEEE 9,39 and 68 bus, coordinating between the Real-Time Digital Simulator (RTDS) and MATLAB platform.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2022.3213419