EvoENERGY 2017 - 2017 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.
Topics
Topics of interest include, but are not limited to:
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 management
energy demand reduction through evolutionary design optimization