ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

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.

[img] PDF
Pow_Energ_Syst_1_2011.pdf - Published Version
Restricted to Registered users only

Download (297kB) | Request a copy
Official URL: http://dx.doi.org/10.1109/ICPES.2011.6156647

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
Additional Information: Copyright of this article belongs to IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: Id for Latest eprints
Date Deposited: 17 Apr 2013 05:56
Last Modified: 17 Apr 2013 05:56
URI: http://eprints.iisc.ac.in/id/eprint/46217

Actions (login required)

View Item View Item