Determination method for loss minimum configuration considering reconnection of distributed generators

Hirotaka Takano*, Takafumi Tomida, Yasuhiro Hayashi, Junya Matsuki

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In the field of electrical power system, various approaches, such as utilization of renewable energy, loss reduction, and so on, have been taken to reduce CO 2 emission. So as to work toward this goal, the total number of distributed generators (DGs) using renewable energy connected into 6.6 kV distribution system has been increasing rapidly. The DGs can reduce distribution loss by appropriate allocation. However, when a fault occurs such as distribution line fault and bank fault, DGs connecting outage sections are disconnected simultaneously. Since the simultaneous disconnection of DGs influences restoration configuration and normal configuration after the restoration, it is necessary to determine the system configuration in normal state considering simultaneous disconnection of DGs. In this paper, the authors propose a computation method to determine the loss minimum configuration in normal state considering reconnection of DGs after simultaneous disconnection by fault occurrence. The feature of determined loss minimum configuration is satisfying with operational constraints even if all DGs are disconnected from the system. Numerical simulations are carried out for a real scale distribution system model with 252 sectionalizing switches (configuration candidates are 2 252) and 120 DGs (total output is 38.46 MW which is 23% of total load) in order to examine the validity of the proposed algorithm.

Original languageEnglish
Pages (from-to)324-330+9
JournalIEEJ Transactions on Power and Energy
Issue number2
Publication statusPublished - 2009
Externally publishedYes


  • Distributed generator (DG)
  • Distribution loss minimization
  • Distribution system
  • Reconnection of DGs
  • Simultaneous disconnection of DGs

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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