A new Lagrangian decomposition and coordination approach for energy portfolio and production planning for multiple companies

E. Sekiya, T. Nishi, M. Inuiguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The energy portfolio and production planning problem for multiple companies under energy constraints is formulated as a mixed integer nonlinear programming problem. A new Lagrangian decomposition and coordination approach is proposed to solve the problem effectively. In this paper, we propose efficient computation algorithms for lower bound and upper bound. The lower bound is computed by relaxing the nonlinear term in the objective function. The upper bound is derived by Lagrangian relax and fix heuristic that successively fixes the solution of subproblems to create a feasible solution. Computational results show that the proposed method can effectively solve the problem compared with conventional Lagrangian decomposition and coordination method.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
PublisherIEEE Computer Society
Pages1354-1358
Number of pages5
ISBN (Print)9781467329453
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012 - Hong Kong, China
Duration: Dec 10 2012Dec 13 2012

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
CountryChina
CityHong Kong
Period12/10/1212/13/12

Keywords

  • Distributed optimization technique
  • Energy optimization
  • Production planning

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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