Field tests of a microgrid control system

T. Funabashi, Goro Fujita, Kaoru Koyanagi, Ryuichi Yokoyama

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

15 Citations (Scopus)

Abstract

A microgrid control system using multi-agent technologies is proposed. In this control system, operation planning is realized based on generation and load forecasting by using artificial neural network and fuzzy systems. Unit commitment of generations includes start/stop of power generations and energy storages. Load following function is accomplished by an adaptive control system based on conventional PI control scheme. To include, in a flexible manner, new generations or loads into the microgrid, multi-agent technologies might be applied. In this paper, at first proposed Microgrid control system is outlined and then field tests outline is stated.

Original languageEnglish
Title of host publication41st International Universities Power Engineering Conference, UPEC 2006, Conference Procedings
Pages232-236
Number of pages5
DOIs
Publication statusPublished - 2006 Dec 1
Event41st International Universities Power Engineering Conference, UPEC 2006 - Newcastle upon Tyne, United Kingdom
Duration: 2006 Sep 62006 Sep 8

Publication series

Name41st International Universities Power Engineering Conference, UPEC 2006, Conference Procedings
Volume1

Conference

Conference41st International Universities Power Engineering Conference, UPEC 2006
CountryUnited Kingdom
CityNewcastle upon Tyne
Period06/9/606/9/8

Keywords

  • Generation and load forecasting
  • Load following
  • Microgrid
  • Multi-agent system
  • Operation planning

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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  • Cite this

    Funabashi, T., Fujita, G., Koyanagi, K., & Yokoyama, R. (2006). Field tests of a microgrid control system. In 41st International Universities Power Engineering Conference, UPEC 2006, Conference Procedings (pp. 232-236). [4218679] (41st International Universities Power Engineering Conference, UPEC 2006, Conference Procedings; Vol. 1). https://doi.org/10.1109/UPEC.2006.367750