Single-reservoir operating rules for a year using multiobjective genetic algorithm

Taesoon Kim, Jun Haeng Heo, Deg Hyo Bae, Jin Hoon Kim

Research output: Contribution to journalArticlepeer-review

44 Citations (Scopus)


A monthly operating rule for single-reservoir operation is developed in this study. Synthetic inflow data over 100 years are generated by using a time series model, AR(1), and piecewise-linear operating rules consisting of 4 and 5 linear lines are found using the implicit stochastic optimization method. in order to consider multiobjective functions in reservoir system operation, a multiobjective genetic algorithm (NSGA-II) is adopted to obtain the optimization results. The search space of NSGA-II is carefully refined using frequency analysis of historical data, and the relationship between inflow and constraints is also investigated. It is determined that 4 and 5 segments are the optimal number of segments for the piecewise-linear operating rule, and the effect of random number seeding on NSGA-II is evaluated. Six years of historical inflow data are used for the simulation model and the results show that the developed operating rule would handle various inflow series. As a result, probabilistic reservoir storage forecasts can be provided to a system operator so as to enable the operator to evaluate the current status of a reservoir quantitatively.

Original languageEnglish
Pages (from-to)163-179
Number of pages17
JournalJournal of Hydroinformatics
Issue number2
Publication statusPublished - 2008 Apr

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Water Science and Technology
  • Geotechnical Engineering and Engineering Geology
  • Atmospheric Science


Dive into the research topics of 'Single-reservoir operating rules for a year using multiobjective genetic algorithm'. Together they form a unique fingerprint.

Cite this