By Topic

Evolutionary programming based optimal power flow 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

2 Author(s)
Yuryevich, J. ; Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia ; Kit Po Wong

Summary form only given. This paper develops an evolutionary programming (EP) based optimal power flow (OPF) solution algorithm which makes use of an EP load flow. Solution acceleration concepts are implemented which improve the basic EP algorithm. This acceleration is implemented using the gradient information obtained using the steepest descent method to perform a local search. The method is capable of determining the global optimum solution to the OPF for a range of constraints and objective functions. The algorithm is not sensitive to starting points and is capable of handling nonconvex generator cost curves. The performances of the algorithm when applied to the IEEE 30-bus test system under different generator input-output curves are presented

Published in:

Power Engineering Society Summer Meeting, 1999. IEEE  (Volume:2 )

Date of Conference:

1999