Distributed optimization of energy portfolio and production planning for multiple companies under resource constraints

T. Nishi, E. Sekiya, S. Yin

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

In this paper, we propose a distributed optimization approach to energy portfolio and production planning for multiple companies. The production planning problem for multiple companies with the selection of electricity procurement contracts under energy resource constraints is formulated as a mixed integer nonlinear programming problem. A Lagrangian decomposition and coordination technique is applied to solve the problem. The original problem is decomposed into several subproblems. Heuristics are applied to generate a feasible solution. Computational results show the proposed method can solve the problem effectively within a reasonable computation time.

Original languageEnglish
Pages (from-to)275-280
Number of pages6
JournalProcedia CIRP
Volume3
Issue number1
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event45th CIRP Conference on Manufacturing Systems, CMS 2012 - Athens, Greece
Duration: May 16 2012May 18 2012

Keywords

  • Distributed optimization technique
  • Energy optimization
  • Production planning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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