By Topic

Economical operation of hydropower plant based on self-adaptive mutation evolutionary programming

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

4 Author(s)
Chenguang Xu ; Coll. of Water Resources & Hydropower, Xi''an Univ. of Technol., China ; Qiang Huang ; Maihuan Zhao ; Fengwei Tian

Aiming at dispatching the load among the units of hydropower plant, economical operation of hydropower plant (EOHP) should consider the stochastic aspect of water resources systems and electricity network. As a stochastic optimization procedure, evolutionary programming (EP) is proved to be useful in optimizing difficult functions. Prior to deterministic optimization methods, a self-adaptive mutation evolutionary programming (SEP) based method for EOHP is proposed, and a mathematical model is developed. In this model, the fitness function is constructed by including the constraints in the objective function as penalty terms. Comparison with traditional EP method, the example shows the effectiveness of SEP one.

Published in:

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on  (Volume:6 )

Date of Conference:

15-19 June 2004