Abstract
Wind power presents a promising form of sustainable energy readily available with negligible greenhouse gas emissions. However, the variability in wind speed and power presents significant challenges for modelling and forecasting for grid reliability studies. This article examines how wind varies using four statistical distributions: Weibull, gamma, Rayleigh, and lognormal. It systematically reviews the prospects of integrating wind power into power systems with dynamic line rating (DLR). It highlights each distribution's crucial considerations and limitations when selecting a wind distribution for analysis. The study shows that integrating wind power into power systems using DLR can address reliability. This approach increases infrastructure utilization and facilitate the integration of wind energy. Grid operators, and energy stakeholders seeking effective strategies for renewable energy integration that balance reliability and cost-effectiveness will find this study relevant.
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Lawal, O.A., Teh, J. (2024). Wind Energy Distributions for Integration with Dynamic Line Rating in Grid Network Reliability Assessment. In: Ahmad, N.S., Mohamad-Saleh, J., Teh, J. (eds) Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications. RoViSP 2021. Lecture Notes in Electrical Engineering, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-99-9005-4_4
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DOI: https://doi.org/10.1007/978-981-99-9005-4_4
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