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论文摘要

水库群优化调度中的多层次分解组合优化算法

A Multistage Decomposition combination Optimization Method for the Optimization Operation of a Multi reservoir System

作者:李勋贵(兰州大学 资源环境学院,甘肃 兰州730000);黄强(西安理工大学 水利水电学院,陕西 西安710048)

Author:(School of Resources and Environment, Lanzhou Univ., Lanzhou 730000,China);(Inst. of Water Resources and Hydroelectric Eng., Xi’an Univ. of Technol., Xi’an 710048,China)

收稿日期:2006-12-15          年卷(期)页码:2009,41(2):70-76

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:水库群优化调度;多年调节水库;随机动态规划;遗传模拟退火算法

Key words:optimization operation of multi reservoir system;multi annual regulation reservoir;stochastic dynamic programming;genetic algorithm simulated annealing hybrid algorithm

基金项目:国家自然科学基金资助项目(40501011)

中文摘要

随机动态规划(SDP)在水库群优化调度中会导致“维数灾”问题,也难应用于多年调节水库。提出了一种水库群优化调度的多层次分解组合优化算法,其包括应用于多年调节水库SDP操作的均匀下泄流量算法,把库群优化问题分解为第1层次的单库SDP优化,然后应用改进的遗传模拟退火算法(GA SA)对单库结果进行第2层次的组合优化。在贵州乌江梯级水库群中长期发电优化调度研究中,获得库群多年平均发电量94.72×108 kW·h,大于GA、SA和SDP单独运用的结果,运行速度也较SDP快。结果说明,提出的多层次分解组合优化算法是一种新的有希望的水库群优化调度方法。

英文摘要

The problems of “curse of dimensionality” will be resulted from the application of stochastic dynamic programming(SDP) to the optimization operation of a multi reservoir system and it is difficult to apply SDP to multi annual regulating reservoirs. A multistage decomposition combination optimization method(MDCOM) is presented to the optimal operation of multi reservoir system, which contains a SDP operation measure with even release flows for the multi annual regulating reservoirs. The method decomposes the optimal operation problems of multi reservoir system into the optimization operation of each single reservoir with SDP in the first stage. An improved genetic algorithm simulated annealing hybrid algorithm is proposed to combine and optimize the results of the each single reservoir in the second stage. In a case study of long middle term optimal operation on generation electricity of a 3 reservoir system in series in Wujiang River, Guizhou Province, a mean annual generation electricity of 9.472 billion kW·h for the multi reservoir system is achieved, which is bigger than that from GA, SA or SDP applied respectively. The MDCOM also runs faster than the SDP. The results obtained from these applications have proved that the MDCOM is a new promising search algorithm for multi reservoir optimization problems.

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