Network congestion management by fuzzy inference using virtual flows

Thukaram, SSD (2011) Network congestion management by fuzzy inference using virtual flows. In: 2011 International Conference on Power and Energy Systems (ICPS), 22-24 Dec. 2011, Chennai.

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Abstract

Effective network overload alleviation is very much essential in order to maintain security and integrity from the operational viewpoint of deregulated power systems. This paper aims at developing a methodology to reschedule the active power generation from the sources in order to manage the network congestion under normal/contingency conditions. An effective method has been proposed using fuzzy rule based inference system. Using virtual flows concept, which provides partial contributions/counter flows in the network elements is used as a basis in the proposed method to manage network congestions to the possible extent. The proposed method is illustrated on a sample 6 bus test system and on modified IEEE 39 bus system.

Item Type:	Conference Proceedings
Publisher:	IEEE
Additional Information:	Copyright of this article belongs to IEEE.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	17 Apr 2013 05:56
Last Modified:	17 Apr 2013 05:56
URI:	http://eprints.iisc.ac.in/id/eprint/46217

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