Optimal allocation of dispersed generations in distribution networks to realize low-carbonate power system

Kuroda Ken*, Magori Hideki, Yokoyama Ryuichi, Matsufuji Yuichi, Ichimura Tomiyasu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


An optimal allocation of dispersed generations (DGs) is one of the most promising approaches for engineering innovation in the near future to realize low-carbonate power system because installation of DGs with optimal location and sizing can reduce active power loss in power systems dramatically. The optimal allocation of DG is required to solve a non-linearly discrete optimization problem and generally approximation solution methods have been proposed due to its intractability. This paper proposes the approach based on an exact solution method using the enumerative method to solve such difficult optimal DG allocation problems. Although the enumerative method is simple, versatile and easy to use, it has the critical challenge which combinatorial explosion tends to occur. In order to solve this challenge, this paper proposes a new approach which reduces the number of combination by application of constraints. Also, the proposed approach is applied to the real size distribution system model which has 126 buses, and evaluated for active power loss reduction characteristics by DGs installation and calculation speed considering actual use.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalDianwang Jishu/Power System Technology
Issue number12
Publication statusPublished - 2012 Dec


  • Dispersed generation
  • Enumerative method
  • Exact method
  • Optimized location
  • Power loss minimization

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'Optimal allocation of dispersed generations in distribution networks to realize low-carbonate power system'. Together they form a unique fingerprint.

Cite this