@inproceedings{7416fe89a14b4fbb96b180afbc0ac4e5,
title = "The purchasing policy based on robust optimization in the electric power supply chain under cost uncertainty",
abstract = "With the national policy reforming, how to decide the power purchasing policy under the uncertain fuel cost becomes the important question for the power grid enterprises in the Chinese electric power supply chain. Usually, the stochastic programming models are often used for the solution. A new robust optimization model was built and the numerical experiment results were compared with the results from the stochastic programming model. The results show that the robust optimization model is more flexible than the stochastic programming model in the worst situation. Comparing the result from the stochastic programming with the small uncertainty range, the robust optimization's objective function may have higher value. The solution based on the application of both the robust model and the stochastic model was suggested in response to the required robustness and uncertainty level.",
author = "Jian Wang and Huixia Liu and Kuijun Yu and Qunzhi Wang and Hiroaki Matsukawa",
year = "2014",
doi = "10.1061/9780784413753.002",
language = "English",
series = "ICLEM 2014: System Planning, Supply Chain Management, and Safety - Proceedings of the 2014 International Conference of Logistics Engineering and Management",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "7--13",
editor = "Jin Zhang and Xiaoqiang Zhang and Ping Yi and Kun Wang",
booktitle = "ICLEM 2014",
note = "2014 4th International Conference of Logistics Engineering and Management: System Planning, Supply Chain Management, and Safety, ICLEM 2014 ; Conference date: 09-10-2014 Through 11-10-2014",
}