Abstract
For landscape renewable energy access areas, there is not only a correlation between wind farms and photovoltaic power plants, but also a certain correlation between wind power and photovoltaic power generation. When evaluating the credibility of the comprehensive capacity of landscape renewable energy, the reliability evaluation index selects the unloading rate of the commonly used index, and the credibility of the capacity needs to be estimated. The traditional Monte Carlo simulation method has a long calculation speed. This paper proposes to use the recursive function method to calculate the trusted capacity, further improve the calculation speed of the trusted capacity, and verify the feasibility of the method from two aspects of calculation speed and calculation error. And explore the impact of different scenery ratio and different total installed capacity on the credibility of the comprehensive capacity.
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Acknowledgements
This work is supported by the Science and Technology Project of China Southern Power Grid Co. Ltd. (ZDKJXM20222004).
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Su, Y. et al. (2024). Credibility Evaluation of Renewable Energy Comprehensive Capacity Based on Recursive Function Method. In: Cai, C., Qu, X., Mai, R., Zhang, P., Chai, W., Wu, S. (eds) The Proceedings of 2023 International Conference on Wireless Power Transfer (ICWPT2023). ICWPT 2023. Lecture Notes in Electrical Engineering, vol 1160. Springer, Singapore. https://doi.org/10.1007/978-981-97-0865-9_44
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DOI: https://doi.org/10.1007/978-981-97-0865-9_44
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