BEGIN:VCALENDAR VERSION:2.0 PRODID:-//DTU.dk//NONSGML DTU.dk//EN CALSCALE:GREGORIAN BEGIN:VEVENT DTSTART:20190801T110000Z DTEND:20190801T130000Z SUMMARY:MSc forsvar Anatole Grapperon DESCRIPTION:
Supervisorer: Professor Poul Ejnar Sørensen, DTU Vindenergi - Kaushik Das, DTU Vindenergi
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\nEksaminator: Programme Director Preben Jørgensen, DSB
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\nTitel: Optimal hybrid park control strategy
\nThis report presents a decision framework for respecting the market constraints and maximize the revenues of a wind and storage power plant. First wind and market prices forecasts have been refined by respectively using the DTU wind software CorWind and a long short term memory recurrent neural network. These forecast were used in a convex optimization algorithm for making day ahead decisions on battery operation. Finally an algorithm has been developed to operate in the balancing market. Several scenarios have been established in order to assess the performance of such an algorithm
Supervisorer: Professor Poul Ejnar Sørensen, DTU Vindenergi - Kaushik Das, DTU Vindenergi
\n
\nEksaminator: Programme Director Preben Jørgensen, DSB
\n
\nTitel: Optimal hybrid park control strategy
\nThis report presents a decision framework for respecting the market constraints and maximize the revenues of a wind and storage power plant. First wind and market prices forecasts have been refined by respectively using the DTU wind software CorWind and a long short term memory recurrent neural network. These forecast were used in a convex optimization algorithm for making day ahead decisions on battery operation. Finally an algorithm has been developed to operate in the balancing market. Several scenarios have been established in order to assess the performance of such an algorithm