NDLI: Multi-objective particle swarm optimization for transient secure congestion management

Content Provider	IEEE Xplore Digital Library
Author	Moslemi, R. Shayanfar, H.A. Lingfeng Wng
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering and Computer Science, University of Toledo, OH 43606, USA (Lingfeng Wng) \|\| Centre of Excellence for Power System Automation and Operation, Iran University of Science and Technology, Tehran, Iran (Moslemi, R.; Shayanfar, H.A.)
Abstract	Congestion is a condition in power systems operation in which some transmission lines become fully loaded. This problem intervene considerable amount of extra cost and increase burdens of power market participants. To alleviate congestion, the operator of power system pays participants to modify their active power generation or consumer side demand. This change in operating point would put the power system in the peril and the stability margins would drop because of the increase in participation of critical generators and load demand. Considering security margins as secondary function could maintain power system from instability points by restraining participation of generators and demands. In this paper a multi-objective version of particle swarm optimization is employed to find Pareto solutions of novel secure congestion management in which congestion management cost and Corrected Transient Energy Margin are considered as two competing objective functions. The proposed method has been tested on the New-England power system to validate the efficacy of proposed method.
Starting Page	590
Ending Page	594
File Size	759558
Page Count	5
File Format	PDF
ISBN	9781457718304
e-ISBN	9781457718298
DOI	10.1109/EEEIC.2012.6221445
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-18
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multi-objective particle swarm optimization Congestion management Corrected transient energy function Stability criteria Power system stability Pareto solutions Generators Security cost Security Transient analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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