NDLI: A risk sensitivity-based approach to hardening power systems against catastrophic failures

Content Provider	IEEE Xplore Digital Library
Author	Benidris, M. Elsaiah, S. Mitra, J.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA (Benidris, M.; Elsaiah, S.; Mitra, J.)
Abstract	This paper introduces a method based on risk sensitivity analysis to determine strategies to harden power systems against catastrophic failures. The proposed method utilizes sensitivity analysis of the risk index with respect to the control variables to identify vulnerabilities that can be corrected by strategic or tactical measures. For any initiating event, the sensitivity of the risk of load curtailments with respect to the power quality constraints such as voltage and reactive power is derived, and thereby preventive/correction actions are determined. In this paper, in addition to the insertion of compensation equipments, rescheduling of generation is considered to increase the reactive power reserve. In order to evaluate the sensitivity of the risk index with respect to the power quality constraints, voltage and reactive power constraints are incorporated with a non-linear programming optimization problem with an objective of minimum load curtailments. The model is applied on a modified version of the IEEE Reliability Test System (IEEE-MRTS). Results are reported, discussed, and thoroughly analyzed.
Starting Page	1
Ending Page	6
File Size	227298
Page Count	6
File Format	PDF
ISBN	9781479959044
DOI	10.1109/NAPS.2014.6965376
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reactive power Indexes Power system reliability Power transmission lines Vectors Sensitivity analysis directed PSO Catastrophic failures preventive/correction actions sensitivity state space reduction
Content Type	Text
Resource Type	Article

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