Monthly reservoir operating rules generated by implicit stochastic optimization

Taesoon Kim, Jun Haeng Heo, Jaeeung Yi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The main purpose of this paper is to develop the monthly operating rules for the multi reservoirs such as Hwacheon, Soyanggang, and Chungju located at the upstream of the Han River Basin in Korea. The monthly operating rules by an implicit stochastic optimization and a regression analysis are developed. Since it is necessary to generate the inflows having the same statistical properties of historical data for applying an implicit stochastic optimization, the synthetic inflow data of three reservoirs are generated by periodic ARMA (1,1) model. And then an implicit stochastic optimization is applied to get optimal multi reservoir operating results. These results are used to derive operating rules by a regression analysis. The regression equations among the beginning storage, the synthetic inflow and the release are obtained. Using the graphical analysis of this operating rules, the applicability to the flood season and non-flood season is accomplished.

Original languageEnglish
Title of host publicationWatershed Management and Operations Management 2000
DOIs
Publication statusPublished - 2004 Dec 1
EventWatershed Management and Operations Management 2000 - Fort Collins, CO, United States
Duration: 2000 Jun 202000 Jun 24

Publication series

NameWatershed Management and Operations Management 2000
Volume105

Other

OtherWatershed Management and Operations Management 2000
CountryUnited States
CityFort Collins, CO
Period00/6/2000/6/24

Fingerprint

inflow
regression analysis
river basin
analysis

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

Cite this

Kim, T., Heo, J. H., & Yi, J. (2004). Monthly reservoir operating rules generated by implicit stochastic optimization. In Watershed Management and Operations Management 2000 (Watershed Management and Operations Management 2000; Vol. 105). https://doi.org/10.1061/40499(2000)155
Kim, Taesoon ; Heo, Jun Haeng ; Yi, Jaeeung. / Monthly reservoir operating rules generated by implicit stochastic optimization. Watershed Management and Operations Management 2000. 2004. (Watershed Management and Operations Management 2000).
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Kim, T, Heo, JH & Yi, J 2004, Monthly reservoir operating rules generated by implicit stochastic optimization. in Watershed Management and Operations Management 2000. Watershed Management and Operations Management 2000, vol. 105, Watershed Management and Operations Management 2000, Fort Collins, CO, United States, 00/6/20. https://doi.org/10.1061/40499(2000)155

Monthly reservoir operating rules generated by implicit stochastic optimization. / Kim, Taesoon; Heo, Jun Haeng; Yi, Jaeeung.

Watershed Management and Operations Management 2000. 2004. (Watershed Management and Operations Management 2000; Vol. 105).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The main purpose of this paper is to develop the monthly operating rules for the multi reservoirs such as Hwacheon, Soyanggang, and Chungju located at the upstream of the Han River Basin in Korea. The monthly operating rules by an implicit stochastic optimization and a regression analysis are developed. Since it is necessary to generate the inflows having the same statistical properties of historical data for applying an implicit stochastic optimization, the synthetic inflow data of three reservoirs are generated by periodic ARMA (1,1) model. And then an implicit stochastic optimization is applied to get optimal multi reservoir operating results. These results are used to derive operating rules by a regression analysis. The regression equations among the beginning storage, the synthetic inflow and the release are obtained. Using the graphical analysis of this operating rules, the applicability to the flood season and non-flood season is accomplished.

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Kim T, Heo JH, Yi J. Monthly reservoir operating rules generated by implicit stochastic optimization. In Watershed Management and Operations Management 2000. 2004. (Watershed Management and Operations Management 2000). https://doi.org/10.1061/40499(2000)155