By Topic

A Compact Genetic Algorithm structure used for the optimum allocation of power quality monitors based on electrical circuit topology

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

5 Author(s)
Oleskovicz, M. ; Escola de Eng. de Sao Carlos, Univ. de Sao Paulo, Sao Paulo, Brazil ; Branco, H.M.G.C. ; da Silva, R.P.M. ; Coury, D.V.
more authors

This paper presents a methodology for solving the optimum allocation problem of power quality monitors in transmission power systems. The objective function was modelled to minimize the total cost of the monitoring problem while maximizing the redundancy of measurements. The proposed approach was implemented as a non linear integer problem that is not easily solved by conventional techniques, therefore a Compact Genetic Algorithm (cGA) structure was used to solve the problem. Moreover the cGA implementation requires fewer computational resources during its execution. The appropriate constraints were deduced based on electrical circuit topology independently of the load parameters. The proposed methodology was applied to different IEEE test systems for validation.

Published in:

Harmonics and Quality of Power (ICHQP), 2012 IEEE 15th International Conference on

Date of Conference:

17-20 June 2012