Abstract
The use of wide area measurements at a central monitoring and control center has brought greater flexibility in the monitoring, control and protection of modern power systems. Under frequency load shedding (UFLS) is one of the many areas experiencing the advantages involved with using wide area measurement systems (WAMS). Conventional UFLS techniques follow a pre-set and rigid threshold of frequency to shed loads at dedicated load buses in the network without considering the magnitude of the disturbance. In this paper, based on the wide area phasor measurements, the actual disturbance in the system is determined a few seconds before performing load shedding. Time domain simulations on an analytic system frequency response model of wide area power system verify the efficiency of the proposed method.
Original language | English |
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Title of host publication | Conference Proceedings - 2018 Smart Grid Conference (SGC) |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 351-355 |
Number of pages | 5 |
ISBN (Electronic) | 9781728111384 |
ISBN (Print) | 9781728111377 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | IEEE Smart Grid Conference 2018 - Sanandaj, Iran Duration: 28 Nov 2018 → 29 Nov 2018 https://ieeexplore.ieee.org/xpl/conhome/8766285/proceeding?isnumber=8777739&rowsPerPage=75&pageNumber=1 (Proceedings) https://conf.uok.ac.ir/sgc2018/Default.aspx?Lang=en (Website) |
Publication series
Name | Proceedings - 2018 Smart Grid Conference, SGC 2018 |
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Publisher | IEEE, Institute of Electrical and Electronics Engineers |
ISSN (Print) | 2572-6935 |
ISSN (Electronic) | 2572-6927 |
Conference
Conference | IEEE Smart Grid Conference 2018 |
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Abbreviated title | SGC 2018 |
Country/Territory | Iran |
City | Sanandaj |
Period | 28/11/18 → 29/11/18 |
Internet address |
Keywords
- Disturbance estimation
- system frequency response model (SFR)
- under frequency load shedding (UFLS)
- wide area measurement systems (WAMS)