A Determination Method of the Restoration Configuration Considering Many Connections of Distributed Generators

DOI Web Site Web Site 6 Citations 18 References
  • Takano Hirotaka
    Dept. of Electrical and Computer Engineering Gifu National College of Technology
  • Hayashi Yasuhiro
    School of Advanced Science and Engineering, Dept. of Electrical Eng. and Bioscience, Waseda University
  • Matsuki Junya
    Graduate School of Electrical and Electronics Engineering, University of Fukui
  • Sugaya Shuhei
    Dept. of Electrical and Computer Engineering Gifu National College of Technology

Bibliographic Information

Other Title
  • 分散型電源導入拡大に対応した復旧目標構成の決定手法
  • ブンサンガタ デンゲン ドウニュウ カクダイ ニ タイオウ シタ フッキュウ モクヒョウ コウセイ ノ ケッテイ シュホウ

Search this article

Description

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 CO2 emission. So as to work toward this goal, the total number of distributed generators (DGs) using renewable energy connected into 6.6kV distribution system has been increasing rapidly. However, when a fault occurs such as distribution line faults and bank faults, DGs connecting outage sections are disconnected simultaneously. Since the output of DGs influences feeder current and node voltage of distribution system, it is necessary to determine the optimal system configuration considering simultaneous disconnection and reconnection of DGs.<br>In this paper, the authors propose a computation method to determine the optimal restoration configuration considering many connections of DGs. The feature of determined restoration configurations is prevention of the violation of operational constraints by disconnection and reconnection of DGs. Numerical simulations are carried out for a real scale distribution system model with 4 distribution substations, 72 distribution feeders, 252 sectionalizing switches (configuration candidates are 2252) and 23.2MW DGs (which is 14% of total load) in order to examine the validity of the proposed algorithm.

Journal

Citations (6)*help

See more

References(18)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top