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Combined Aggregated Sampling Stochastic Dynamic Programming and Simulation-Optimization to Derive Operation Rules for Large-Scale Hydropower System
- Source :
- Energies, Vol 14, Iss 625, p 625 (2021), Energies, Volume 14, Issue 3
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Simulation-optimization methods are often used to derive operation rules for large-scale hydropower reservoir systems. The solution of the simulation-optimization models is complex and time-consuming, for many interconnected variables need to be optimized, and the objective functions need to be computed through simulation in many periods. Since global solutions are seldom obtained, the initial solutions are important to the solution quality. In this paper, a two-stage method is proposed to derive operation rules for large-scale hydropower systems. In the first stage, the optimal operation model is simplified and solved using sampling stochastic dynamic programming (SSDP). In the second stage, the optimal operation model is solved by using a genetic algorithm, taking the SSDP solution as an individual in the initial population. The proposed method is applied to a hydropower system in Southwest China, composed of cascaded reservoir systems of Hongshui River, Lancang River, and Wu River. The numerical result shows that the two-stage method can significantly improve the solution in an acceptable solution time.
- Subjects :
- Mathematical optimization
Control and Optimization
010504 meteorology & atmospheric sciences
Scale (ratio)
Computer science
0208 environmental biotechnology
Population
Energy Engineering and Power Technology
simulation-optimization
02 engineering and technology
lcsh:Technology
01 natural sciences
Genetic algorithm
genetic algorithm
sampling stochastic dynamic programming
Electrical and Electronic Engineering
education
Engineering (miscellaneous)
Hydropower
0105 earth and related environmental sciences
Simulation optimization
education.field_of_study
lcsh:T
Renewable Energy, Sustainability and the Environment
business.industry
Sampling (statistics)
operation rule
Stochastic programming
020801 environmental engineering
hydropower
Stage (hydrology)
business
Energy (miscellaneous)
Subjects
Details
- ISSN :
- 19961073
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Energies
- Accession number :
- edsair.doi.dedup.....7d9a42cb13e6159ee61d6fa7d9f55c91