Evolutionary Algorithms in Energy Applications
Along with the worldwide incentive to reduce fossil and nuclear based power generation, the number of distributed generators and other forms of distributed energy resources which are installed in power networks has been steadily increasing over the last years. This increased integration has triggered a transformation of the energy system and challenges the conventional operation of these networks.
On a network level, this transformation requires new control and communication approaches, to guarantee the security of energy supplies as well as an optimal exploitation of available resources. On a generator level, advanced control strategies as well as morphological optimization (e.g., tuning of wind-blade design) can help to assure an optimal performance of the generator.
EvoEnergy is intended as a platform for new, innovative computational intelligence and nature-inspired techniques in the domain of energy-related optimization research. We seek contributions ranging from new control concepts for decentralized generation, strategies for their coordination in the network to the morphological optimization of distributed generators.
Areas of Interest and Contributions
Topics of interest include, but are not limited to, any of the following:
- Management of distributed generation and storage
- Evolutionary design and morphological optimization in energy systems
- Advanced distribution management system functionalities
- Smart Grid monitoring and control
- Real time configurations of energy networks
- Distributed optimization in energy networks
- Grid planning and asset managment
Publication Details
Accepted papers will appear in the proceedings of EvoStar, published as Springer Lecture Notes in Computer Science.
Submission Details
Submissions must be novel and original. Submissions will be peer reviewed by at least three members of the program committee and authors of accepted papers are required to address the reviewer's comments to produce a camera-ready version of their manuscripts. At least one author of each accepted paper must register for the conference and attend the conference to present their work.
The reviewing process will be double-blind and any information that may identify the authors should be removed from the initial submission. Please submit your contribution to EvoENERGY in Springer LNCS format at http://myreview.csregistry.org/evoapps13. The page limit is 10 pages.
Important Dates
Submission deadline: 1 November 2012 Extended to 11 November 2012
Notification to authors: T.B.A.
Camera-ready deadline: 15 January 2013
EvoStar event: 3-5 April 2013
EvoENERGY track chairs
- Konrad Diwold
Fraunhofer Institute for Wind Energy and Energy System Technology
konrad.diwold(at)iwes.fraunhofer.de - Kyrre Glette
University of Oslo
kyrrehg(at)ifi.uio.no
Programme Committee
- Istvan Erlich (University of Duisburg-Essen)
- Nicola Hochstrate, Lübeck University of Applied Sciences, Germany
- Paul Kaufmann (Fraunhofer IWES)
- Martin Middendorf (University of Leipzig)
- Julian F. Miller (University of York)
- Maizura Mokhtar, University of Central Lancashire, UK
- Frank Neumann (University of Adelaide)
-
Peter Palensky (AIT: Austrian Institute of Technology)
- Jan Ringelstein (Fraunhofer IWES)
- Gareth A. Taylor, Brunel University, UK
- Andy Tyrrell
(University of York)
