An accelerating Benders’ decomposition approach to the integrated supply chain network design with distributed generation

被引：2

作者：

Khodayifar S. ^{[1
]}

Raayatpanah M.A. ^{[2
]}

Pardalos P.M. ^{[3
]}

机构：

[1] Department of Mathematics, Institute for Advanced Studies in Basic Sciences (IASBS), Prof. Yousef Sobouti Blvd., Zanjan

[2] Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran

[3] Department of Industrial and Systems Engineering, Center for Applied Optimization, University of Florida, Gainesville, FL

来源：

Energy Systems | 2018年 / 9卷 / 3期

关键词：

Accelerated Benders’ decomposition approach; Distributed generation (DG); Facility location; Integrated supply chain networks; Pareto-optimal cuts;

D O I：

10.1007/s12667-017-0256-6

中图分类号：

学科分类号：

摘要：

Distributed generation (DG) is one of the new trends in distribution networks under the effect of various policies, such as distribution loss reduction. It is important to find the position and determine the size of DGs in the existing distribution network. In this paper, we consider DGs for the integrated supply chain networks and obtain the optimal locations, sizing, and the service areas of DGs. First, a mixed integer programming model is proposed to formulate the problem. Then, an accelerating Benders’ decomposition approach with two valid cuts and Pareto-optimal cuts is described for this problem. Computational results show the efficiency of the our model and proposed algorithm. © 2017, Springer-Verlag GmbH Germany.

引用

页码：647 / 667

页数：20

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