The ongoing transformation of the energy system with an emphasis on low-carbon generation, decentralized renewable energy sources (RES) and the diffusion of smart grid technologies challenges today’s systems and mechanisms. The rapid expansion of RES requires a structural rearrangement of the system to maintain the current level of supply security in future.
The power system plays a key role in this context. While today’s power system and grid infrastructure have been designed for centralized and controllable power production in conventional power plants, the RES expansion leads to an increasingly uncertain, volatile and decentralized supply. To manage the system safely under these changing conditions, new technological and institutional innovations will be required. Moreover, methods are needed to ensure a dependable operation of existing power grids, but also to support long-term power system planning and design robust future power grids, both on a regional scale supporting microgrid design and on a global scale supporting national and continental transmission planning. Providing efficient optimization methods to support analysis in these different contexts is a major challenge.
Different disciplines, including mathematics, economics and electrical engineering, need to cooperate in order to support power system planning, ensuring an affordable, secure and environmentally friendly power supply. ISESO 2018 therefore seeks to foster interdisciplinary discussions and especially welcomes submissions with an integrative perspective. Topics to be covered include, but are not limited to:
- Mathematical modelling of power grids on all voltage levels
- Power grid optimization under uncertainty
- Efficient algorithms for OPF analyses
- Economic, environmental and reliability aspects of energy system and grid management
- Combined generation and transmission expansion planning
- New strategies for power grid operation and optimization under uncertainty
- Energy system integration (e.g., analysing the impact of power-to-heat or power-to-gas) and DSM
- Case studies on
- power grid operation and expansion
- energy system optimization
- deriving policy implications from energy system models