TY - GEN
T1 - Online strategy for scheduling a hydroelectric station
AU - Ru, Hai
AU - Gao, Feng
AU - Guan, Xiaohong
AU - Zheng, Feifeng
PY - 2012
Y1 - 2012
N2 - The scheduling problem of reservoir hydroelectric station during the flood season caused major concern in academia and industry many years. Due to the uncertainty of flood, the schedule strategy should guarantee the enough flood prevention capacity of hydroelectric, meanwhile, a certain water head should also be kept in order to guarantee the power generation efficiency. Therefore, it's a challenging to design the strategy of optimal scheduling for hydroelectric in flood season. This paper in response to this objective, online algorithm will be applied here to analysis optimal strategy, which manages the reservoir scheduling in terms of online strategy and competitive analysis. Then the evidence from Ankang reservoir are collected to test the competitive ratio of online strategy. The result and model of the study in this paper have guiding significance and reference value to decision makers facing the similar situation.
AB - The scheduling problem of reservoir hydroelectric station during the flood season caused major concern in academia and industry many years. Due to the uncertainty of flood, the schedule strategy should guarantee the enough flood prevention capacity of hydroelectric, meanwhile, a certain water head should also be kept in order to guarantee the power generation efficiency. Therefore, it's a challenging to design the strategy of optimal scheduling for hydroelectric in flood season. This paper in response to this objective, online algorithm will be applied here to analysis optimal strategy, which manages the reservoir scheduling in terms of online strategy and competitive analysis. Then the evidence from Ankang reservoir are collected to test the competitive ratio of online strategy. The result and model of the study in this paper have guiding significance and reference value to decision makers facing the similar situation.
KW - Competitive Ratio
KW - Hydroelectric scheduling
KW - Online Strategy
UR - https://www.scopus.com/pages/publications/84872307140
U2 - 10.1109/WCICA.2012.6358290
DO - 10.1109/WCICA.2012.6358290
M3 - 会议稿件
AN - SCOPUS:84872307140
SN - 9781467313988
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 2479
EP - 2484
BT - WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
T2 - 10th World Congress on Intelligent Control and Automation, WCICA 2012
Y2 - 6 July 2012 through 8 July 2012
ER -