Paper
11 November 2021 Adaptive energy-load matching optimization method
Dexin Li, Shang Wang, Chang Liu, Baoju Li, Tao Peng, Yuhang Qiu
Author Affiliations +
Proceedings Volume 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence; 120760Q (2021) https://doi.org/10.1117/12.2607263
Event: Fourth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2021), 2021, Shanghai, China
Abstract
Due to serious new energy abandonment in Jilin grid of China, an adaptive energy-load matching optimization method for wind-photovoltaic complementary is built in this paper. Among certain new energy sources, we adaptively select the combination of new energy stations with high load matching, so that more new energy is consumed and less power is discarded. In this paper, the optimization method of maximizing new energy consumption without energy-load matching is taken as the comparison benchmark, and the advantages of adaptive energy-load matching optimization method are analyzed from multiple scenarios of different total amount of new energy. By selecting the combination of new energy stations with high load matching degree, the method can obtain lower curtailment of new energy, and the complexity of decision space is reduced, making the decision variables of new energy stations can be solved in a short time,when the number of decision variables is big.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dexin Li, Shang Wang, Chang Liu, Baoju Li, Tao Peng, and Yuhang Qiu "Adaptive energy-load matching optimization method", Proc. SPIE 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence, 120760Q (11 November 2021); https://doi.org/10.1117/12.2607263
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KEYWORDS
Data modeling

Performance modeling

Renewable energy

Systems modeling

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