A critical switching flow index for transient stability assessment in smart grid topology control

Tian Lan, Wenzong Wang, Garng Morton Huang

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

6 Citations (Scopus)

Abstract

Smart grid topology control makes power system more flexible and efficient. For example, it has been demonstrated that economic benefit and corrective action in contingency can be achieved by topology control. However, transient stability is a major concern in applying smart grid topology control since a potential large disturbance of line flows is involved. In this paper, a critical switching flow concept is proposed as a transient stability index to assess system transient stability associated with topology control. This new index is based on system worst scenario in offline study and thus can be used to evaluate switching plan and avoid transient instability in real time operation without online dynamic simulations. Monte Carlo based algorithm is developed to determine critical switching flow for planned system and validated in simplified WSCC 9 bus system and IEEE 24 bus reliability test system to demonstrate a potential use of the new concept.

Original languageEnglish
Title of host publication2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509051670
DOIs
Publication statusPublished - 9 Dec 2016
Externally publishedYes
Event2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016 - Minneapolis, United States
Duration: 6 Sep 20169 Sep 2016

Other

Other2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016
CountryUnited States
CityMinneapolis
Period6/9/169/9/16

Fingerprint

Topology Control
Smart Grid
Topology
Stability Index
Test System
Dynamic Simulation
Power System
Disturbance
Control System
Economics
Scenarios
Evaluate
Line
Computer simulation
Demonstrate
Concepts

Keywords

  • critical switching flow
  • Monte Carlo
  • Topology control
  • transient stability

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Optimization

Cite this

Lan, T., Wang, W., & Huang, G. M. (2016). A critical switching flow index for transient stability assessment in smart grid topology control. In 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016 [7781184] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT.2016.7781184

A critical switching flow index for transient stability assessment in smart grid topology control. / Lan, Tian; Wang, Wenzong; Huang, Garng Morton.

2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7781184.

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

Lan, T, Wang, W & Huang, GM 2016, A critical switching flow index for transient stability assessment in smart grid topology control. in 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016., 7781184, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016, Minneapolis, United States, 6/9/16. https://doi.org/10.1109/ISGT.2016.7781184
Lan T, Wang W, Huang GM. A critical switching flow index for transient stability assessment in smart grid topology control. In 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7781184 https://doi.org/10.1109/ISGT.2016.7781184
Lan, Tian ; Wang, Wenzong ; Huang, Garng Morton. / A critical switching flow index for transient stability assessment in smart grid topology control. 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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