Titlebook: Integrating Renewables in Electricity Markets; Operational Problems Juan M. Morales,Antonio J. Conejo,Marco Zugno Textbook 2014 Springer Sc

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Facilitating Renewable Integration by Demand Response, and put in the framework of model predictive control (MPC). Then, the issue of forecasting the aggregate response of flexible consumers to time-varying prices is addressed. Finally, the last part of the chapter deals with the determination of optimal dynamic price signals, aimed at making the most out of the consumer flexibility.

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Introduction,sited to accommodate the uncertain and variable nature of these energy sources. This first chapter motivates the operational problems dealt with in this book by providing a brief overview of the main challenges originated from the growing integration of stochastic and intermittent generation in current electric energy systems.

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Clearing the Day-Ahead Market with a High Penetration of Stochastic Production,ficant number of stochastic producers. To adequately mimic the real-world decision-making process, a two-stage stochastic programming model with recourse is presented. Market outcomes include both production and consumption quantities, and energy-only clearing prices. These prices embody desirable p

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Impact of Stochastic Renewable Energy Generation on Market Quantities, origins of that impact relate to the economical aspects of stochastic renewable energy in electricity markets (the socalled merit-order effect), the variability and predictability of their power output, as well as the nonlinear and bounded nature of the electric power generation process itself. The