Title :
A new Lagrangian decomposition and coordination approach for energy portfolio and production planning for multiple companies
Author :
Sekiya, Eiji ; Nishi, Tomoki ; Inuiguchi, Masahiro
Author_Institution :
Dept. of Syst. Innovation, Osaka Univ., Toyonaka, Japan
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.
Keywords :
electricity supply industry; integer programming; nonlinear programming; power consumption; production planning; Lagrangian coordination approach; Lagrangian decomposition approach; Lagrangian relax; energy constraints; energy portfolio; mixed integer nonlinear programming problem; production planning problem; Companies; Contracts; Electricity; Portfolios; Production planning; Upper bound; Distributed optimization technique; Energy optimization; Production planning;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/IEEM.2012.6837966