Integration of Low Carbon Technologies in Smart Grids
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Beschreibung
The thesis provides different opportunities and ideas to face some current challenges in the electricity systems. It focuses on the effective and efficient integration of distributed low carbon technologies in the grid of the future. Planning and operation problems for different clean solutions, such as market bidding strategies for intermittent energy producers, demand side management algorithms for smart buildings, and electrical storage options for network operators, are studied for facilitating the integration of renewable energy sources in the power system chain.
The thesis provides different opportunities and ideas to face some current challenges in the electricity systems. It focuses on the effective and efficient integration of distributed low carbon technologies in the grid of the future. Planning and operation problems for different clean solutions, such as market bidding strategies for intermittent energy producers, demand side management algorithms for smart buildings, and electrical storage options for network operators, are studied for facilitating the integration of renewable energy sources in the power system chain.
Nominated as an outstanding PhD thesis by The University of Siena, Italy Describes predictive and optimization techniques for the control of smart grids with high penetration of renewables Discusses how to integrate demand response in smart building energy management systems
Autor*in
Donato Zarrilli
Themen in »Integration of Low Carbon Technologies in Smart Grids«
Voltage Control in Distribution Networks Demand Response Management of Smart Buildings Model Predictive Control Temperature Control Systems Optimal Heating Control Electricity Market Bidding Strategies Exploiting Wind Speed Forecasts Optimizing Building Heating System Operation Network Voltage Sensitivity Analysis Day-ahead Bidding Strategies for Wind Power Systems Coordinated Control of Energy Storage Systems Integration of Renewables into Electric Power Systems Mitigating Over- and Undervoltage in LV Networks