NDLI: Components' impact on critical transfer section for risk based transmission system planning

Content Provider	IEEE Xplore Digital Library
Author	Setreus, J. Arnborg, S. Eriksson, R. Bertling, L.
Copyright Year	2009
Description	Author affiliation: School of Electrical Engineering, Royal Institute of Technology, KTH, Stockholm, Sweden (Setreus, J.; Arnborg, S.; Eriksson, R.; Bertling, L.)
Abstract	In the planning of the electrical transmission system it is of greatest concern to quantify the security margin for unwanted conditions in the system. This paper proposes an approach based on quantifying the risk of insufficient transmission capacity in bottlenecks in the system. Stresses in these critical transfer sections (CTS) provide a potential risk to corrective actions, or worst, load curtailments. The proposed method provides a general screening of component outages in order to find potential risk events for the CTS. Furthermore, the severity of each risk event is quantified based on the likelihood of the event and the consequence on the section's transmission capacity. The components' contribution to the risk of insufficient capacity in the CTS is then based on these risk events' severity. The method investigates several forecasted load levels during the year and consequently gives an input to a scheme for a risk based transmission system planning. The method is demonstrated on the reliability test system RBTS.
Starting Page	1
Ending Page	8
File Size	394863
Page Count	8
File Format	PDF
ISBN	9781424422340
DOI	10.1109/PTC.2009.5282222
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-28
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system security Power system reliability Power system planning Power system interconnection Load forecasting Power systems Power engineering and energy Stress System testing Power system modeling power system planning Power transmission reliability power system security reliability modeling risk analysis
Content Type	Text
Resource Type	Article

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