Optimal Short-term Reservoir Operation with Integrated Long-term Goals

被引:28
|
作者
Sreekanth, J. [1 ]
Datta, Bithin [2 ]
Mohapatra, Pranab K. [3 ]
机构
[1] CSIRO Land & Water, Ecosci Precinct, Dutton Pk, Qld 4102, Australia
[2] James Cook Univ, Townsville, Qld 4811, Australia
[3] IIT Kanpur, Dept Civil Engn, Kanpur 208016, Uttar Pradesh, India
关键词
Reservoir operation; Short-term; long-term optimization; Hydro-power; Multi-objective genetic algorithm; GENETIC ALGORITHM; HYDROPOWER SYSTEM; MULTIRESERVOIR SYSTEMS; OPTIMIZATION;
D O I
10.1007/s11269-012-0051-z
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A methodology to incorporate long-term goals within the short-term reservoir operation optimization model is proposed. Two conflicting objectives for the management of hydropower generation in two different power plants are incorporated. A chance-constrained optimization model is used to derive long-term (annual) operation strategies. With the time horizon of operation for the short-term optimization model kept equal to a single time-step of the long-term optimization model, the optimum end storages derived from the long-term model are incorporated as constraints (storage lower bounds) within the short-term model. The long-term benefits accrued from such an operation model are illustrated for a small reservoir, in South India. The solutions are compared with the historic operation. These are also compared with the solutions of a short-term optimal operation model ignoring long-term goals. The optimization model is solved using a multi-objective genetic algorithm.
引用
收藏
页码:2833 / 2850
页数:18
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