Power system frequency management challenges - a probabilistic approach to assessing wind farm potential for aiding system frequency stability

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)
150 Downloads (Pure)

Abstract

With the increasing wind penetration level in power systems, transmission system operators have become concerned about frequency stability. The inertia of variable speed wind turbines are decoupled by power electronic converters from the power network and therefore do not intrinsically contribute to power system inertia. Besides, as wind plant displace conventional generation and their inertia, substantial reduction in power system inertia may occur. Variable speed wind turbines can be controlled to provide synthetic inertial response but have no direct contributions to power system inertia levels. A probabilistic approach to assessing wind farm potential for aiding frequency stability in power systems is proposed, and the method will be applied to the GB power system. The impact of the aggregate inertial response on arresting frequency fall is examined assuming a sudden generation loss of 1800 MW in the GB power system. The results show that inertial response from wind can reduce the maximum rate of fall of frequency and the minimum system frequency following the event (frequency nadir).
Original languageEnglish
Title of host publication2nd IET Renewable Power Generation Conference
Place of PublicationStevenage, UK
Number of pages5
DOIs
Publication statusPublished - 2013
Event2nd IET Renewable Power Generation Conference, IET 2013 - Beijing, China
Duration: 9 Sep 201311 Sep 2013

Conference

Conference2nd IET Renewable Power Generation Conference, IET 2013
CountryChina
CityBeijing
Period9/09/1311/09/13

Fingerprint

Frequency stability
System stability
Farms
Wind turbines
Power electronics

Keywords

  • frequency stability
  • power systems
  • synthetic inertia
  • wind farm
  • renewable energy
  • droop response

Cite this

@inproceedings{12072b702c2e41d9889713c3a34901e4,
title = "Power system frequency management challenges - a probabilistic approach to assessing wind farm potential for aiding system frequency stability",
abstract = "With the increasing wind penetration level in power systems, transmission system operators have become concerned about frequency stability. The inertia of variable speed wind turbines are decoupled by power electronic converters from the power network and therefore do not intrinsically contribute to power system inertia. Besides, as wind plant displace conventional generation and their inertia, substantial reduction in power system inertia may occur. Variable speed wind turbines can be controlled to provide synthetic inertial response but have no direct contributions to power system inertia levels. A probabilistic approach to assessing wind farm potential for aiding frequency stability in power systems is proposed, and the method will be applied to the GB power system. The impact of the aggregate inertial response on arresting frequency fall is examined assuming a sudden generation loss of 1800 MW in the GB power system. The results show that inertial response from wind can reduce the maximum rate of fall of frequency and the minimum system frequency following the event (frequency nadir).",
keywords = "frequency stability, power systems, synthetic inertia, wind farm, renewable energy, droop response",
author = "Lei Wu and David Infield",
year = "2013",
doi = "10.1049/cp.2013.1791",
language = "English",
isbn = "9781849197588",
booktitle = "2nd IET Renewable Power Generation Conference",

}

Wu, L & Infield, D 2013, Power system frequency management challenges - a probabilistic approach to assessing wind farm potential for aiding system frequency stability. in 2nd IET Renewable Power Generation Conference., 2.54, Stevenage, UK, 2nd IET Renewable Power Generation Conference, IET 2013, Beijing, China, 9/09/13. https://doi.org/10.1049/cp.2013.1791

Power system frequency management challenges - a probabilistic approach to assessing wind farm potential for aiding system frequency stability. / Wu, Lei; Infield, David.

2nd IET Renewable Power Generation Conference. Stevenage, UK, 2013. 2.54.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Power system frequency management challenges - a probabilistic approach to assessing wind farm potential for aiding system frequency stability

AU - Wu, Lei

AU - Infield, David

PY - 2013

Y1 - 2013

N2 - With the increasing wind penetration level in power systems, transmission system operators have become concerned about frequency stability. The inertia of variable speed wind turbines are decoupled by power electronic converters from the power network and therefore do not intrinsically contribute to power system inertia. Besides, as wind plant displace conventional generation and their inertia, substantial reduction in power system inertia may occur. Variable speed wind turbines can be controlled to provide synthetic inertial response but have no direct contributions to power system inertia levels. A probabilistic approach to assessing wind farm potential for aiding frequency stability in power systems is proposed, and the method will be applied to the GB power system. The impact of the aggregate inertial response on arresting frequency fall is examined assuming a sudden generation loss of 1800 MW in the GB power system. The results show that inertial response from wind can reduce the maximum rate of fall of frequency and the minimum system frequency following the event (frequency nadir).

AB - With the increasing wind penetration level in power systems, transmission system operators have become concerned about frequency stability. The inertia of variable speed wind turbines are decoupled by power electronic converters from the power network and therefore do not intrinsically contribute to power system inertia. Besides, as wind plant displace conventional generation and their inertia, substantial reduction in power system inertia may occur. Variable speed wind turbines can be controlled to provide synthetic inertial response but have no direct contributions to power system inertia levels. A probabilistic approach to assessing wind farm potential for aiding frequency stability in power systems is proposed, and the method will be applied to the GB power system. The impact of the aggregate inertial response on arresting frequency fall is examined assuming a sudden generation loss of 1800 MW in the GB power system. The results show that inertial response from wind can reduce the maximum rate of fall of frequency and the minimum system frequency following the event (frequency nadir).

KW - frequency stability

KW - power systems

KW - synthetic inertia

KW - wind farm

KW - renewable energy

KW - droop response

U2 - 10.1049/cp.2013.1791

DO - 10.1049/cp.2013.1791

M3 - Conference contribution book

SN - 9781849197588

BT - 2nd IET Renewable Power Generation Conference

CY - Stevenage, UK

ER -