@inproceedings{13290a39d2a946918099c4fef20519d2,
title = "SS\#11 A Data-Driven Approach to Evaluate Operating Cost of SCUC Problem",
abstract = "This paper proposes an optimal estimation approach for the security-constrained unit commitment (SCUC) problem, which has the potential to be applied to some problems in the power system. A large number of numerical tests based on different systems show that the optimal operating cost of SCUC is not sensitive to the fluctuation of the injected power. The function between operating cost and the injected power can be obtained easily through using a simple data fitting method. Further tests show that the change in the power network topology will not have an excessive impact on the fitting effect, and the penetration rate of renewable energy is the main challenge. This conclusion can be used to quickly obtain the lower bound of the SCUC solution, and other actual scenarios that only focus on operating costs.",
keywords = "data-driven, least-squares, neural network, security-constrained unit commitment",
author = "Jiahua Wang and Jiang Wu and Oiaozhu Zhai",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021 ; Conference date: 18-12-2021 Through 20-12-2021",
year = "2021",
doi = "10.1109/ICCSI53130.2021.9736247",
language = "英语",
series = "2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Jiacun Wang and Ying Tang and Fei-Yue Wang",
booktitle = "2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021",
}
