Field tests of a microgrid control system

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

doi:10.1109/UPEC.2006.367750

Field tests of a microgrid control system

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 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 language	English
Title of host publication	41st International Universities Power Engineering Conference, UPEC 2006, Conference Procedings
Pages	232-236
Number of pages	5
Volume	1
DOIs	https://doi.org/10.1109/UPEC.2006.367750
Publication status	Published - 2006
Event	41st International Universities Power Engineering Conference, UPEC 2006 - Newcastle upon Tyne Duration: 2006 Sept 6 → 2006 Sept 8

Other

Other	41st International Universities Power Engineering Conference, UPEC 2006
City	Newcastle upon Tyne
Period	06/9/6 → 06/9/8

Keywords

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

ASJC Scopus subject areas

Energy Engineering and Power Technology

Access to Document

10.1109/UPEC.2006.367750

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. vol. 1, 4218679, pp. 232-236, 41st International Universities Power Engineering Conference, UPEC 2006, Newcastle upon Tyne, 06/9/6. https://doi.org/10.1109/UPEC.2006.367750

@inproceedings{e6f956b42ed54adba1c4c794357848e5,

title = "Field tests of a microgrid control system",

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.",

keywords = "Generation and load forecasting, Load following, Microgrid, Multi-agent system, Operation planning",

author = "T. Funabashi and Goro Fujita and Kaoru Koyanagi and Ryuichi Yokoyama",

year = "2006",

doi = "10.1109/UPEC.2006.367750",

language = "English",

isbn = "9781861353429",

volume = "1",

pages = "232--236",

booktitle = "41st International Universities Power Engineering Conference, UPEC 2006, Conference Procedings",

note = "41st International Universities Power Engineering Conference, UPEC 2006 ; Conference date: 06-09-2006 Through 08-09-2006",

}

TY - GEN

T1 - Field tests of a microgrid control system

AU - Funabashi, T.

AU - Fujita, Goro

AU - Koyanagi, Kaoru

AU - Yokoyama, Ryuichi

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

KW - Generation and load forecasting

KW - Load following

KW - Microgrid

KW - Multi-agent system

KW - Operation planning

UR - http://www.scopus.com/inward/record.url?scp=46849113869&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=46849113869&partnerID=8YFLogxK

U2 - 10.1109/UPEC.2006.367750

DO - 10.1109/UPEC.2006.367750

M3 - Conference contribution

AN - SCOPUS:46849113869

SN - 9781861353429

VL - 1

SP - 232

EP - 236

BT - 41st International Universities Power Engineering Conference, UPEC 2006, Conference Procedings

T2 - 41st International Universities Power Engineering Conference, UPEC 2006

Y2 - 6 September 2006 through 8 September 2006

ER -

Field tests of a microgrid control system

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this