Maximizing hosting capacity of distributed generation by network reconfiguration in distribution system

Yuji Takenobu, Shunsuke Kawano, Yasuhiro Hayashi, Norihito Yasuda, Shin Ichi Minato

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

7 Citations (Scopus)

Abstract

The maximization of distributed generation (DG) hosting capacity that takes into account network configuration is a complex, non-linear combinatorial optimization problem. The search space of the configurations becomes massively large in practical-size networks with several hundreds of switches. For this reason, no existing method can handle such large-scale networks. In this paper, we propose a novel exact solution method. Our method consists of two stages. In the first stage, the method divides the entire problem into a set of small subproblems. In the second stage, it converts all subproblems into a compressed data structure called a zero-suppressed binary decision diagram (ZDD), which expresses the combinatorial sets compactly. The proposed method avoids any combinatorial explosion by using the ZDD to enable operations of the weighted combinatorial item sets. We conducted experiments on a large-scale network with 235 switches. As a result, our method obtained the global optimal solution in 49 hours.

Original languageEnglish
Title of host publication19th Power Systems Computation Conference, PSCC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788894105124
DOIs
Publication statusPublished - 2016 Aug 10
Event19th Power Systems Computation Conference, PSCC 2016 - Genova, Italy
Duration: 2016 Jun 202016 Jun 24

Publication series

Name19th Power Systems Computation Conference, PSCC 2016

Other

Other19th Power Systems Computation Conference, PSCC 2016
CountryItaly
CityGenova
Period16/6/2016/6/24

Keywords

  • Distributed generation
  • network reconfiguration
  • second-order cone programming (SOCP)
  • zero-suppressed binary decision diagram (ZDD)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology

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