|Tutorial 3||Management of Wind Energy Systems|
|Presenters||Dr. Jens I. Madsen, Senior Specialist, Suzlon Blade Science Center, Denmark|
|Date and Time||22 May 2018, 01:00 pm – 05:00 pm|
Robust communication with and structured data acquisition from wind farms is a key prerequisite of any Wind Energy Management Systems (WEMS). The real-time data feeds from wind turbines and weather mode driven production forecasting can be aggregated at wind farm, regional, or national levels based on market structure design. WEMS includes wind forecasting engines that will forecast wind generation for the relevant control areas with short to medium time horizon (hours to days ahead), in order to optimize power production and limit deviation from production schedules determined from day-ahead markets. From a system perspective, WEMS feeds updated wind generation schedules to Load Dispatch Centers for coordination with other generation schedules, which helps reduce the need for spinning reserves. System operators can then dynamically schedule the other types of generation to respond to changes in wind generation forecasts. This tutorial aims at describing WEMS concepts design, hardware and software implementation.
Dr. Jens I. Madsen is a Senior Specialist at the Suzlon Blade Science Center in Vejle, Denmark. Suzlon Energy Ltd. is a renewable solutions provider with a global presence in 18 countries across 6 continents. The company is headquartered in Pune, India and has installed more than 17 GW of wind turbine capacity. From 2008 to 2016, Dr. Madsen was Head of Wind Power R&D at the utility company Vattenfall, which is one of the largest owners and operators of wind power in Europe. In recent years, his research interests have included smart use of weather forecasting, wind farm control, and wind resource assessment in complex and forested terrain.
Dr. Madsen holds a Ph.D. degree (1998) in Mechanical Engineering from Aalborg University (Denmark) and an MBA degree (2014) from Aarhus University (Denmark). He is an active participant in various national and international R&D consortia and programmes aimed at lowering the cost of wind power.