A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Integration of battery storage systems to mitigate the intermittent nature of wind power generation
Wind energy is intermittent in nature because it introduces random fluctuations in wind power which varies with availability of wind resources. Consequently, it becomes difficult to estimate actual wind speeds and corresponding power that a wind farm can generate. This creates power imbalance problems in the electric grids as the probability of having power undergeneration or over-generation is significantly heightened. In off-grid wind plants, net-load uncertainty controls the operation and planning of the plants. Energy storage system (ESS) offers a solution for system operators to provide the flexibility required to balance net-load uncertainty. This thesis proposes an eight intra-season probabilistic model that accurately forecasts the hourly output power generated from a wind farm by utilizing a three-year historical hourly wind speed data. Based on this forecast, a novel battery-sizing index that considers the probabilistic nature of the wind resources and electric load demand is developed. A probabilistic approach is implemented for sizing a battery storage system (BSS) to mitigate the off-grid net-load uncertainty. This proposed sizing approach calculates the BSS capacity required for optimal operation of a wind plant without incurring excessive battery investment costs as well as reducing the power mismatch between the wind generation and the electric load.
Integration of battery storage systems to mitigate the intermittent nature of wind power generation
Wind energy is intermittent in nature because it introduces random fluctuations in wind power which varies with availability of wind resources. Consequently, it becomes difficult to estimate actual wind speeds and corresponding power that a wind farm can generate. This creates power imbalance problems in the electric grids as the probability of having power undergeneration or over-generation is significantly heightened. In off-grid wind plants, net-load uncertainty controls the operation and planning of the plants. Energy storage system (ESS) offers a solution for system operators to provide the flexibility required to balance net-load uncertainty. This thesis proposes an eight intra-season probabilistic model that accurately forecasts the hourly output power generated from a wind farm by utilizing a three-year historical hourly wind speed data. Based on this forecast, a novel battery-sizing index that considers the probabilistic nature of the wind resources and electric load demand is developed. A probabilistic approach is implemented for sizing a battery storage system (BSS) to mitigate the off-grid net-load uncertainty. This proposed sizing approach calculates the BSS capacity required for optimal operation of a wind plant without incurring excessive battery investment costs as well as reducing the power mismatch between the wind generation and the electric load.
Integration of battery storage systems to mitigate the intermittent nature of wind power generation
Oyebanjo, Olufemi Olatunji (author)
2016-12-01
Miscellaneous
Electronic Resource
English
DDC:
690
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