By Topic

Optimal dispatch of renewable energy sources included in Virtual power plant using Accelerated particle swarm optimization

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
$33 $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)
Daniel Hropko ; University of Žilina/Department of Power Electrical Systems, Žilina, Slovakia ; Ján Ivanecký ; Ján Turček

Renewable energy sources (RES), such as wind and photovoltaic power plants, suffer from their stochastic nature that is why their behavior on market is very delicate. In order to diversify risk, a concept of Virtual power plant (VPP) has been developed. The VPP is composed of several RES, from which at least one of them is fully controllable. Because the production of noncontrollable RES cannot be perfectly forecasted, therefore an optimal dispatch schedule within VPP is needed. To address this problem, an Accelerated particle swarm optimization is used to solve the constrained optimal dispatch problem within VPP. The experimental results show that the proposed optimization method provides high quality solutions while meeting constraints.

Published in:

ELEKTRO, 2012

Date of Conference:

21-22 May 2012