A Factorial-based Dynamic Analysis Method for Reservoir Operation Under Fuzzy-stochastic Uncertainties

A Factorial-based Dynamic Analysis Method for Reservoir Operation Under Fuzzy-stochastic Uncertainties
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模糊随机不确定性下基于阶乘的水库调度动态分析方法

DOI:
10.1007/s11269-013-0429-6
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发表时间:
2013-08
影响因子:
4.3
通讯作者:
Huang G.H.
Huang G.H.
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Fu D.Z.;Li Y.P.;Huang G.H.

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针对水库调度管理中的模糊性、随机性及其相互作用等多种不确定性,提出了一种基于因子的模糊随机动态规划方法。FFS-DP融合了随机动态规划、模糊马尔可夫链、顶点分析和因子分析等技术。它不仅可以处理常规优化问题中反映动态和不确定特征的只读存储器,而且可以得到不确定参数及其相互作用对系统性能的详细影响。将所提出的方法应用于一个水库调度系统的实例研究,在该系统中,地方当局负责向下游直辖市分配相对稀缺的水。得到的结果可以帮助地方当局在不确定的系统条件下确定期望的放水政策。此外,结果同时表明,显著因素及其交互作用可以被识别在只读存储器中。此外,还可以对结果进行进一步的分析,以产生最优的参数输入,以获得最大的系统效益。
In this study, a factorial-based fuzzy-stochastic dynamic programming (FFS-DP) method is developed for tackling multiple uncertainties including fuzziness, randomness and their interaction in reservoir operation management (ROM). FFS-DP is framed on the integration of stochastic dynamic programming, fuzzy-Markov chain, vertex analysis and factorial analysis techniques. It can not only deal with the conventional optimization problem for reflecting dynamic and uncertain features in ROM, but also obtain detailed effects of uncertain parameters and their interactions on the system performance. The developed method is applied to a case study of a reservoir operation system, where the local authority is in charge of allocating relative scant water to the downstream municipality. The results obtained can help the local authority identify desired water release policies under uncertain system conditions. Besides, the results simultaneously indicate that significant factors and their interactions can be identified in ROM. Moreover, the results can be further analyzed for generating optimal parameter inputs to obtain maximized system benefits.
不确定性下与温室气体减排相关的区域能源系统规划
DOI: 10.1016/j.apenergy.2010.07.037
发表时间: 2011-03
期刊: Applied Energy
影响因子: 11.2
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Li, Y.P.;Huang, G.H.;Chen, X.
通讯作者: Chen, X.
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发表时间: 2008-12-10
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DOI: 10.1016/j.fss.2008.10.010
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发表时间: 2002-08
期刊: Appl. Soft Comput.
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作者:
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