
Be the first to like this
Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.
Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.
Published on
This paper proposes an application of real coded
genetic algorithm (RGA) to reactive power planning (RPP).
Several techniques have been developed to make RGA
practicable to solve a real power system problem and other
practical problems. The proposed approach has been used
in the IEEE 30bus system. Simulation results, compared
with those obtained by using the evolutionary
programming(EP), are presented to show that the present
method is better for power system planning. In the case of
optimization of noncontinuous and nonsmooth function,
RGA gives much better results than EP. The comprehensive
simulation results show a great potential for applications of
RGA in power system economical and secure operation,
planning and reliability assessment.
Clipping is a handy way to collect and organize the most important slides from a presentation. You can keep your great finds in clipboards organized around topics.
Be the first to comment