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Integration of large offshore wind power into energy supply
At the end of 2002, more than 13.500 Wind Turbines (WTs) with an installed capacity of 12.000 MW generated approx. 17.300 GWh and supplied about 3.6 % of the German electricity consumption. Today, the electrical power generated from wind already covers the total grid load in some grid areas temporarily. According to Federal Government planning, in the long-term wind turbines will be erected with a total power of up to 25 GW in the North and Baltic Seas, which would cover around 15% of the German electricity consumption. For the capability of these immense powers to be integrated into the energy supply system, however, the wind turbines installed on land are also to be considered. Here, an installed wind power of around 10,000 MW is to be reckoned with, alone in the area of the grid operator E.ON Netz GmbH, up to the year 2007. These large intermittend generation have growing influence on the loading and security of grids, the operation of other power plants and on the economics of the complete German supply system. It is today already foreseeable that these demands must be reacted on with both technical and regulative measures. Large (offshore) wind farms will therefore require access to a central operational control unit in order to coordinate and control the operation of many individual wind turbines with correspondingly defined demands. The paper will present new operational control strategies to provide a multitude of new possibilities to enable simple, flexible and undisturbed reaction to the demands of participants (wind farm operators, grid operators). These operational control strategies are mainly based on ISETs successful employed wind power prediction tools (E.ON Netz, RWE Net, Vattenfall Europe Transmission) and will enable energy and power control, as well as the provision of reactive power, in order to maintain comparable properties to conventional power plant types.
Integration of large offshore wind power into energy supply
At the end of 2002, more than 13.500 Wind Turbines (WTs) with an installed capacity of 12.000 MW generated approx. 17.300 GWh and supplied about 3.6 % of the German electricity consumption. Today, the electrical power generated from wind already covers the total grid load in some grid areas temporarily. According to Federal Government planning, in the long-term wind turbines will be erected with a total power of up to 25 GW in the North and Baltic Seas, which would cover around 15% of the German electricity consumption. For the capability of these immense powers to be integrated into the energy supply system, however, the wind turbines installed on land are also to be considered. Here, an installed wind power of around 10,000 MW is to be reckoned with, alone in the area of the grid operator E.ON Netz GmbH, up to the year 2007. These large intermittend generation have growing influence on the loading and security of grids, the operation of other power plants and on the economics of the complete German supply system. It is today already foreseeable that these demands must be reacted on with both technical and regulative measures. Large (offshore) wind farms will therefore require access to a central operational control unit in order to coordinate and control the operation of many individual wind turbines with correspondingly defined demands. The paper will present new operational control strategies to provide a multitude of new possibilities to enable simple, flexible and undisturbed reaction to the demands of participants (wind farm operators, grid operators). These operational control strategies are mainly based on ISETs successful employed wind power prediction tools (E.ON Netz, RWE Net, Vattenfall Europe Transmission) and will enable energy and power control, as well as the provision of reactive power, in order to maintain comparable properties to conventional power plant types.
Integration of large offshore wind power into energy supply
Ernst, B. (author) / Hoppe-Kilpper, M. (author) / Rohrig, K. (author)
2003-01-01
Fraunhofer IWES
Conference paper
Electronic Resource
English
DDC:
690
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