By Topic

Notice of Violation of IEEE Publication Principles
Security Enhancement of Optimal Power Flow using Genetic Algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Muthuselvan, N.B. ; SSN Coll. of Eng., Chennai ; Somasundaram, P. ; Dash, S.S.

Notice of Violation of IEEE Publication Principles

"Security Enhancement of Optimal Power Flow using Genetic Algorithm"
by N.B. Muthuselvan, P. Somasundaram, and Subhransu Sekhar Dash
in the Proceedings of the International Conference on Power Electronics, Drives and Energy Systems, December 2006

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper was found to be a near verbatim copy of the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Genetic-algorithm-based Optimal Power Flow for Security Enhancement"
by D. Devaraj and B. Yegnanarayana,
in the IEE Proceedings-Generation, Transmission and Distribution, Vol 152, No 6, IEE, November 2005, pp. 899-905

The paper presents a genetic-algorithm (GA) based OFF algorithm for identifying the optimal values of generator active-power output and the angle of the phase-shifting transformer. The locations of phase shifters are selected based on sensitivity analysis. To overcome the shortcomings associated with the representation of real and integer variables using the binary string in the GA population, the control variables are represented in their natural form. Also crossover and mutation operators which can deal directly with integers and floating point numbers are used. Simulation results on IEEE 30-bus is presented and compared with the results of other approaches.

Published in:

Power Electronics, Drives and Energy Systems, 2006. PEDES '06. International Conference on

Date of Conference:

12-15 Dec. 2006