Non Linear Programming and Dynamic Optimization in Energy Systems（Hardcover）

Energy grids are amongst the most reliable systems worldwide. However, these large interconnected infrastructures are subject to a host of challenges such as aging assets, generation and transmission expansion to meet growing and changing energy demand, distributed resources and reliability coordination. Large scale deployment of the Energy Hub paradigm could play a strategic role in supporting the evolution of conventional energy grids toward active, flexible and self-healing networks composed by distributed, cooperative and interactive resources.

This book 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. It 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, 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. The author presents actual results on real-time control and optimal dispatch of a hybrid energy system designed for supplying power in isolated power systems.

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