Smart and Sustainable Power Systems
Operations, Planning, and Economics of Insular Electricity Grids

The smart grid initiative, integrating advanced sensing technologies, intelligent control methods, and bi-directional communications into the contemporary electricity grid, offers excellent opportunities for energy efficiency improvements and better integration of distributed generation, coexisting with centralized generation units within an active network. A large share of the installed capacity for recent renewable energy sources already comprises insular electricity grids, since the latter are preferable due to their high potential for renewables.

However, the increasing share of renewables in the power generation mix of insular power systems presents a significant challenge to efficient management of the insular distribution networks, mainly due to the variability and uncertainty of renewable generation. More than other electricity grids, insular electricity grids require the incorporation of sustainable resources and the maximization of the integration of local resources, as well as specific solutions to cope with the inherent characteristics of renewable generation. Insular power systems need a new generation of methodologies and tools to face the new paradigm of large-scale renewable integration.

Smart and Sustainable Power Systems: Operations, Planning, and Economics of Insular Electricity Grids discusses the modeling, simulation, and optimization of insular power systems to address the effects of large-scale integration of renewables and demand-side management. This practical book:

• Describes insular power systems, renewable energies, uncertainty, variability, reserves, and demand response



• Examines state-of-the-art forecasting techniques, power flow calculations, and scheduling models



• Covers probabilistic and stochastic approaches, scenario generation, and short-term operation



• Includes comprehensive testing and validation of the mathematical models using real-world data



• Explores electric price signals, competitive operation of distribution networks, and network expansion planning

Smart and Sustainable Power Systems: Operations, Planning, and Economics of Insular Electricity Grids provides a valuable resource for the design of efficient methodologies, tools, and solutions for the development of a truly sustainable and smart grid.

Overview of Insular Power Systems: Challenges and Opportunities. Forecasting Models and Tools for Load and Renewables Generation. Probabilistic Harmonic Power Flow Calculations with Uncertain and Correlated Data. Scheduling Models and Methods for Efficient and Reliable Operations. Reserves and Demand Response Coping with Renewables Uncertainty. Electric Price Signals, Economic Operation, and Risk Analysis. Renewable Generation and Distribution Grid Expansion Planning.

João P. S. Catalão received a master’s degree from the Instituto Superior Técnico, Lisbon, Portugal, and a Ph.D and habilitation for full professor "Agregação" from the University of Beira Interior (UBI), Covilhã, Portugal. Currently, he is a professor at UBI, director of the UBI Sustainable Energy Systems Lab, and researcher at the Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento (INESC-ID), Lisbon, Portugal. He is also the primary coordinator of the EU-funded FP7 project Smart and Sustainable Insular Electricity Grids Under Large-Scale Renewable Integration (SiNGULAR), a €5.2-million project involving 11 industry partners. An IEEE senior member, Professor Catalão has authored or coauthored more than 320 publications, including 100 journal papers, 200 conference proceedings papers, and 20 book chapters, with an h-index of 22 (according to Google Scholar); edited the book Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling (CRC Press, 2012); served in various editorial capacities for IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, and IET Renewable Power Generation; and received the 2011 Scientific Merit Award UBI-FE/Santander Universities and the 2012 Scientific Award UTL/Santander Totta.