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Principal Component Analysis (PCA)-supported underfrequency load shedding algorithm
ID
Škrjanc, Tadej
(
Author
),
ID
Mihalič, Rafael
(
Author
),
ID
Rudež, Urban
(
Author
)
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MD5: 58A7631B06BE0E9D3D4B8BD7DC5603E3
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https://www.mdpi.com/1996-1073/13/22/5896
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Abstract
This research represents a conceptual shift in the process of introducing flexibility into power system frequency stability-related protection. The existing underfrequency load shedding (UFLS) solution, although robust and fast, has often proved to be incapable of adjusting to different operating conditions. It triggers upon detection of frequency threshold violations, and functions by interrupting the electricity supply to a certain number of consumers, both of which values are decided upon beforehand. Consequently, it often does not comply with its main purpose, i.e., bringing frequency decay to a halt. Instead, the power imbalance is often reversed, resulting in equally undesirable frequency overshoots. Researchers have sought a solution to this shortcoming either by increasing the amount of available information (by means of wide-area communication) or through complex changes to all involved protection relays. In this research, we retain the existing concept of UFLS that performs so well for fast-occurring frequency events. The flexible rebalancing of power is achieved by a small and specialized group of intelligent electronic devices (IEDs) with machine learning functionalities. These IEDs interrupt consumers only when the need to do so is detected with a high degree of certainty. Their small number assures the fine-tuning of power rebalancing and, at the same time, poses no serious threat to system stability in cases of malfunction.
Language:
English
Keywords:
machine learning
,
power system frequency stability
,
load shedding
,
power system protection
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FE - Faculty of Electrical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2020
Number of pages:
9 str.
Numbering:
Vol. 13, iss. 22, art. 5896
PID:
20.500.12556/RUL-134402
UDC:
621.31:004
ISSN on article:
1996-1073
DOI:
10.3390/en13225896
COBISS.SI-ID:
37324291
Publication date in RUL:
13.01.2022
Views:
1344
Downloads:
282
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Record is a part of a journal
Title:
Energies
Shortened title:
Energies
Publisher:
Molecular Diversity Preservation International
ISSN:
1996-1073
COBISS.SI-ID:
518046745
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
12.11.2020
Secondary language
Language:
Slovenian
Keywords:
strojno učenje
,
frekvenčna stabilnost elektroenergetskega sistema
,
razbremenjevanje
,
zaščita elektroenergetskega sistema
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0356
Name:
Elektroenergetski sistemi
Funder:
ARRS - Slovenian Research Agency
Funding programme:
Young researchers
Funder:
ARRS - Slovenian Research Agency
Project number:
J2-9232
Name:
Upravljanje z viri za zanesljive komunikacije z nizkimi zakasnitvami v pametnih omrežjih - LoLaG
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