Nonlinear Programming and Dynamic Optimization in Energy Systems

Nonlinear Programming and Dynamic Optimization in Energy Systems contains the methodologies and technological solutions for energy system monitoring and control, from applications, to electricity smart grids and more unconventional approaches to multi-carrier systems. The book discusses optimizing the energy hub supply to produce an effective and reliable operation of the multicarrier energy network with tested algorithms to produce optimal energy flow.

The authors include results obtained during an industrial research project on Smart Cities that was carried out in collaboration with utility companies and other academic, research, and industrial partners. Results are focused on assessing the impact of distributed generation, storage devices, electric vehicles, and smart appliances distributed to residential energy hubs. In addition, actual results on real-time control and optimal dispatch of a hybrid energy system designed for supplying power in isolated power systems are presented.

• Explores how to increase Energy Hub efficiency by properly coordinating their operation
• Addresses different algorithms and applications based on the theory of multi-objective goal attainment optimization
• Presents real-world applications and results of the proposed methodologies from recently implemented research projects