Optimal multireservoir hydropower operations by decomposition

Qinghui Zhong, Kevin E Lansey

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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
Volume19
Issue number2
DOIs
StatePublished - Apr 1 1992

Fingerprint

Decomposition
Decompose
Term
Lagrangian multiplier
Lagrangian Relaxation
Concave function
Deterministic Model
Iterative Process
Global Convergence
Updating
China
Objective function
Hydropower
Lagrangian relaxation
Global convergence
Natural language processing
Multiplier
Standards

Keywords

  • decomposition
  • hydropower
  • multi-reservoir systems operations

ASJC Scopus subject areas

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

Cite this

Optimal multireservoir hydropower operations by decomposition. / Zhong, Qinghui; Lansey, Kevin E.

In: Engineering Optimization, Vol. 19, No. 2, 01.04.1992, p. 131-151.

Research output: Contribution to journalArticle

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