Mitigation of large power spills by an energy storage device in a stand alone energy system
Copyright policy )Mitigation of large power spills by an energy storage device in a stand alone energy system
The unpredictable nature of wind energy makes its integration to the electric grid highly challenging. However, these challenges can be addressed by incorporating storage devices (batteries) in the system. We perform an overall assessment of a single domestic power system with a wind turbine supported by an energy storage device. The aim is to investigate the best operation mode of the storage device such that the occurrence of large power spills can be minimized. For estimating the small probability of large power spills, we use the splitting technique for rare-event simulations. An appropriate Importance Function for splitting is formulated such that it reduces the work-load of the probability estimator as compared to the conventional Crude Monte Carlo probability estimator. Simulation results show that the ramp constraints imposed on the charging/discharging rate of the storage device plays a pivotal role in mitigating large power spills. It is observed that by employing a new charging strategy for the storage device large power spills can be minimized further. There exists a trade-off between reducing the large power spills versus reducing the average power spills.
- Netherlands Organisation for Applied Scientific Research Netherlands
- Centrum Wiskunde & Informatica Netherlands
- Technical University Eindhoven TU Eindhoven Research Portal Netherlands
- Centrum Wiskunde & Informatica Netherlands
- University of Amsterdam Netherlands
Large power spills, Importance function, Rare-event simulations, Sustainability and the Environment, Energy Engineering and Power Technology, 551, Stochastic modeling, Splitting, Storage device, SDG 7 - Affordable and Clean Energy, Renewable Energy, Electrical and Electronic Engineering, SDG 7 – Betaalbare en schone energie
Large power spills, Importance function, Rare-event simulations, Sustainability and the Environment, Energy Engineering and Power Technology, 551, Stochastic modeling, Splitting, Storage device, SDG 7 - Affordable and Clean Energy, Renewable Energy, Electrical and Electronic Engineering, SDG 7 – Betaalbare en schone energie
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