Locating critical prosumers in P2P dominant grids using state-sensitivity function
This letter presents the idea of ranking critical prosumers in using a novel state-sensitivity function (SSF). The SSF is designed to work in a given nodal power injection hypercube, and thus the proposed ranking method captures the effect of injection subspace. An element-wise maximum Jacobian is o...
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sg-ntu-dr.10356-1709112023-10-06T15:39:57Z Locating critical prosumers in P2P dominant grids using state-sensitivity function Pareek, Parikshit Sampath, L. P. Mohasha Isuru Nguyen, Hung D. Foo, Eddy Yi Shyh School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Grid Security P2P Energy Trading This letter presents the idea of ranking critical prosumers in using a novel state-sensitivity function (SSF). The SSF is designed to work in a given nodal power injection hypercube, and thus the proposed ranking method captures the effect of injection subspace. An element-wise maximum Jacobian is obtained, that quantifies the worst-case sensitivity of each injection on each state. Results from various 33-Bus system configurations highlight the proposed method's capability in ranking state-injection risk pairs, providing node voltage risk levels and quantifying combined risk levels in peer-to-peer dominant grids. Ministry of Education (MOE) National Research Foundation (NRF) Submitted/Accepted version This work was supported in part by the IntraCREATE Seed Collaboration Fund under Grant NRF2021-ITS008-0017 and Grant NRF2022-ITS010-0005; in part by the National Research Foundation, Singapore; and in part by the Ministry of Education Singapore under its Award AcRF TIER 1 under Grant RG60/22. 2023-10-06T07:11:43Z 2023-10-06T07:11:43Z 2023 Journal Article Pareek, P., Sampath, L. P. M. I., Nguyen, H. D. & Foo, E. Y. S. (2023). Locating critical prosumers in P2P dominant grids using state-sensitivity function. IEEE Transactions On Smart Grid, 14(5), 4145-4148. https://dx.doi.org/10.1109/TSG.2023.3293710 1949-3053 https://hdl.handle.net/10356/170911 10.1109/TSG.2023.3293710 2-s2.0-85169587420 5 14 4145 4148 en NRF2021-ITS008-0017 NRF2022-ITS010-0005 RG60/22. IEEE Transactions on Smart Grid © 2023 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/TSG.2023.3293710. application/pdf |
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Engineering::Electrical and electronic engineering Grid Security P2P Energy Trading Pareek, Parikshit Sampath, L. P. Mohasha Isuru Nguyen, Hung D. Foo, Eddy Yi Shyh Locating critical prosumers in P2P dominant grids using state-sensitivity function |
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This letter presents the idea of ranking critical prosumers in using a novel state-sensitivity function (SSF). The SSF is designed to work in a given nodal power injection hypercube, and thus the proposed ranking method captures the effect of injection subspace. An element-wise maximum Jacobian is obtained, that quantifies the worst-case sensitivity of each injection on each state. Results from various 33-Bus system configurations highlight the proposed method's capability in ranking state-injection risk pairs, providing node voltage risk levels and quantifying combined risk levels in peer-to-peer dominant grids. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Pareek, Parikshit Sampath, L. P. Mohasha Isuru Nguyen, Hung D. Foo, Eddy Yi Shyh |
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Article |
author |
Pareek, Parikshit Sampath, L. P. Mohasha Isuru Nguyen, Hung D. Foo, Eddy Yi Shyh |
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Pareek, Parikshit |
title |
Locating critical prosumers in P2P dominant grids using state-sensitivity function |
title_short |
Locating critical prosumers in P2P dominant grids using state-sensitivity function |
title_full |
Locating critical prosumers in P2P dominant grids using state-sensitivity function |
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Locating critical prosumers in P2P dominant grids using state-sensitivity function |
title_full_unstemmed |
Locating critical prosumers in P2P dominant grids using state-sensitivity function |
title_sort |
locating critical prosumers in p2p dominant grids using state-sensitivity function |
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2023 |
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https://hdl.handle.net/10356/170911 |
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