| New Procedure to Derive the Performance Indices Associated with Reservoir Operation Rule |
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| 引用本文： | 王金文,张勇传,张友权. New Procedure to Derive the Performance Indices Associated with Reservoir Operation Rule[J]. 东华大学学报(英文版), 2002, 19(4) |
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| 作者姓名： | 王金文 张勇传 张友权 |
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| 作者单位： | College of Hydropower and Information Engineering，Huazhong University of Science and Technology，Wuhan，430074，P.R.China，College of Hydropower and Information Engineering，Huazhong University of Science and Technology，Wuhan，430074，P.R.China，School of Electric Power Engineering，Kunming University of Science and Technology，Kunming，650051，P.R.Ching. |
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| 基金项目： | Yunnan Natural Science Foundation under contract 98E004Z |
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| 摘 要： | Stochastic dynamic programming (SDP) is extensively used in the optimization for long-term reservoir operations. Generally, both of the steady state optimal policy and its associated performance indices (PIs) for multipurpose reservoir are of prime importance. To derive the PIs there are two typical ways: simulation and probability formula. Among the disadvantages, one is that these approaches require the pre-specified operation policy. Illuminated by the convergence of objective function in SDP, a new approach, which has the advantage that its use can be concomitant with the solving of SDP, is proposed to determine the desired PIs. In the case study, its efficiency is also practically tested.
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New Procedure to Derive the Performance Indices Associated with Reservoir Operation Rule |
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| WANG Jin-wen,ZHANG Yong-chuan,ZHANG You-quan. New Procedure to Derive the Performance Indices Associated with Reservoir Operation Rule[J]. Journal of Donghua University, 2002, 19(4) |
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| Authors: | WANG Jin-wen ZHANG Yong-chuan ZHANG You-quan |
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| Affiliation: | 1. College of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
2. School of Electric Power Engineering, Kunming University of Science and Technology. Kunming, 650051, P. R. China. |
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| Abstract: | Stochastic dynamic programming (SDP) is extensively used in the optimization for long-term reservoir operations. Generally, both of the steady state optimal policy and its associated performance indices (PIs) for multipurpose reservoir are of prime importance. To derive the PIs there are two typical ways: simulation and probability formula. Among the disadvantages, one is that these approaches require the pre-specified operation policy. Illuminated by the convergence of objective function in SDP, a new approach, which has the advantage that its use can be concomitant with the solving of SDP, is proposed to determine the desired PIs. In the case study, its efficiency is also practically tested. |
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| Keywords: | Dynamic convergence performance index stochastic dynamic programming reservoir operation Markovian characteristic. |
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