Advances in Energy System Optimization: Proceedings of the first International Symposium on Energy System Optimization (Trends in Mathematics)

The papers presented in this volume address diverse challenges in energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids and from theoretical considerations to data provision concerns and applied case studies. The International Symposium on Energy System Optimization (ISESO) was held on November 9th and 10th 2015 at the Heidelberg Institute for Theoretical Studies (HITS) and was organized by HITS, Heidelberg University and Karlsruhe Institute of Technology. 1. A Customized Evolutionary Algorithm for the Optimization of Residential Energy Resources.- 2. Comparison of control strategies for electric vehicles on a low voltage level electrical distribution grid.- 3. Optimal Storage Operation with Model Predictive Control in the German Transmission Grid.- 4. Security-Constrained Optimization Framework for Large-Scale Power Systems Including Post-Contingency Remedial Actions and Inter-Temporal Constraints.- 5. Dynamic Decision Making in Energy Systems with Storage and Renewable Energy Sources.- 6. Dispatch of flexibility options, grid infrastructure and integration of renewable energies within a decentralized electricity system.- 7. An Optimal Investment Model for Battery Energy Storage Systems in Isolated Microgrids.- 8. A dynamic programming approach to multi-period planning of isolated microgrids.- 9. Curtailing renewable feed-in peaks and its impact on power grid extensions in Germany for the year 2030.- 10. Simulation of distribution grid expansion costs and the impact of load shifting.- 11. Structure Analysis of the German Transmission Network using the Open Source Model SciGRID.- 12. Modeling of the transmission grid using geo allocation and generalized processes.- 13. Regionalizing Input Data for Generation and Transmission Expansion Planning Models.- 14. Convexity/nonconvexity certificates for power flow analysis.- 15. A Convex Model for the Optimization of Distribution Systems with Distributed Generation.- This book constitutes the refereed conference proceedings of the 18th International Conference on the Applications of Evolutionary Computation, EvoApplications 2015, held in Copenhagen, Spain, in April 2015, colocated with the Evo 2015 events EuroGP, EvoCOP, and EvoMUSART. The 72 revised full papers presented were carefully reviewed and selected from 125 submissions. EvoApplications 2015 consisted of the following 13 tracks: EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments). As the climate and environment continue to fluctuate, researchers are urgently looking for new ways to preserve our limited resources and prevent further environmental degradation. The answer can be found through computer science, a field that is evolving at precisely the time it is needed most. Soft Computing Applications for Renewable Energy and Energy Efficiency brings together the latest technological research in computational intelligence and fuzzy logic as a way to care for our environment. This reference work highlights current advances and future trends in environmental sustainability using the principles of soft computing, making it an essential resource for students, researchers, engineers, and practitioners in the fields of project engineering and energy science. "This book brings together the latest technological research in computational intelligence and fuzzy logic as a way to care for our environment, highlighting current advances and future trends in environmental sustainability using the principles of soft computing"-- Provided by publisher