댐 군 월별 운영 정책의 도출을 위한 추계적 동적 계획 모형A Stochastic Dynamic Programming Model to Derive Monthly Operating Policy of a Multi-Reservoir System
- Other Titles
- A Stochastic Dynamic Programming Model to Derive Monthly Operating Policy of a Multi-Reservoir System
- Authors
- 임동규; 김재희; 김승권
- Issue Date
- 2012
- Publisher
- 한국경영과학회
- Keywords
- Stochastic Dynamic Programming; Markov Decision Process; Multi-reservoir Operating
- Citation
- 경영과학, v.29, no.1, pp.1 - 14
- Indexed
- KCI
- Journal Title
- 경영과학
- Volume
- 29
- Number
- 1
- Start Page
- 1
- End Page
- 14
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/110330
- ISSN
- 1225-1100
- Abstract
- The goal of the multi-reservoir operation planning is to provide an optimal release plan that maximize the reservoir storage and hydropower generation while minimizing the spillages. However, the reservoir operation is difficult due to the uncertainty associated with inflows. In order to consider the uncertain inflows in the reservoir operating problem, we present a Stochastic Dynamic Programming (SDP) model based on the markov decision process (MDP). The objective of the model is to maximize the expected value of the system performance that is the weighted sum of all expected objective values. With the SDP model, multi-reservoir operating rule can be derived, and it also generates the steady state probabilities of reservoir storage and inflow as output. We applied the model to the Geum-river basin in Korea and could generate a multi-reservoir monthly operating plan that can consider the uncertainty of inflow.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.