Optimal multireservoir hydropower operations by decomposition

Qinghui Zhong, Kevin E. Lansey

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


A temporal decomposition approach is presented in this paper to solve a long term deterministic model for optimal operations of multiple reservoir systems. Through Lagrangian relaxation, the long term problem is decomposed into a number of smaller subproblems. Each of the subproblems can be solved efficiently using standard NLP codes. Coordination between subproblems is achieved in a Lagrangian term. Overall convergence is attained through an iterative process by updating the Lagrangian multipliers. A theoretical proof of global convergence is given assuming a concave objective function. The method has been applied to a nine-reservoir system in central China.

Original languageEnglish (US)
Pages (from-to)131-151
Number of pages21
JournalEngineering Optimization
Issue number2
StatePublished - Apr 1 1992


  • decomposition
  • hydropower
  • multi-reservoir systems operations

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics


Dive into the research topics of 'Optimal multireservoir hydropower operations by decomposition'. Together they form a unique fingerprint.

Cite this