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Risk quantitative assessment of emergency control measures to improve power grid transmission capacity

  • Xia Zhou
  • , Jilai Yu
  • , Chaohai Zhang
  • , Shuanbao Niu
  • , Lin Cheng
  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • State Grid Electric Power Research Institute Co., Ltd.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Cross-regional interconnection of power systems, large-scale integration of renewable energy and interaction between demand side and power systems are raising new challenges to the operation of a large scale power system, such as complexity, uncertainty. A risk quantitative assessment method of emergency control measures is proposed to improve power grid transmission capacity based on the study of risk assessment model. The cost of emergency control measures including generator tripping, load shedding and HVDC modulations, and stability control strategy affected by the Rule 599 are taken into consideration in this method. Several transient instability risk indexes are proposed to quantify the transient stability level of power systems. Also the influence of different control quality on risk values is analyzed. With considering both security and economy in the indexing of the cost of improving unit transmission capacity, evaluating and selecting emergency control measures comprehensively are achieved.

Original languageEnglish
Title of host publication4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages312-316
Number of pages5
ISBN (Electronic)9781479936687
DOIs
StatePublished - 7 Oct 2014
Externally publishedYes
Event4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014 - Hong Kong, China
Duration: 4 Jun 20147 Jun 2014

Publication series

Name4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014

Conference

Conference4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
Country/TerritoryChina
CityHong Kong
Period4/06/147/06/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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