TY - GEN
T1 - Combinatorial Optimization-based Hierarchical Management of Residential Energy Systems as Virtual Power Plant
AU - Saito, Toranosuke
AU - Yoshida, Akira
AU - Kashikawa, Takahiro
AU - Kimura, Koichi
AU - Amano, Yoshiharu
N1 - Funding Information:
The part of this work is supported by JSPS KAKENHI Grant Number JP18K14170, and Fujitsu Digital Annealer project.
Publisher Copyright:
© 2020 The Society of Instrument and Control Engineers - SICE.
PY - 2020/9/23
Y1 - 2020/9/23
N2 - The supply-demand adjustment market in Japan will be opened in 2021, and it is expected to contribute to a virtual power plant (VPP) to gather distributed energy resources even from residential sector. The problem is to integrate residential sector that respond differently depending on the characteristics of each household, with keeping protecting consumer privacy. This article proposes a hierarchical management method that realizes VPP in residential sector. The proposed framework meets the requirements to join a market. The proposed method gets evaluated in numerical experiments. We aim to aggregate 1 MW controllable electricity with 4, 000 detached household. The results show that the proposed method could achieve an amount of electricity of the procurement target in computing time of 10 minutes.
AB - The supply-demand adjustment market in Japan will be opened in 2021, and it is expected to contribute to a virtual power plant (VPP) to gather distributed energy resources even from residential sector. The problem is to integrate residential sector that respond differently depending on the characteristics of each household, with keeping protecting consumer privacy. This article proposes a hierarchical management method that realizes VPP in residential sector. The proposed framework meets the requirements to join a market. The proposed method gets evaluated in numerical experiments. We aim to aggregate 1 MW controllable electricity with 4, 000 detached household. The results show that the proposed method could achieve an amount of electricity of the procurement target in computing time of 10 minutes.
KW - Demand Response
KW - Hierarchical Energy Management
KW - Residential Energy System
KW - Virtual Power Plant
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M3 - Conference contribution
AN - SCOPUS:85096364416
T3 - 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
SP - 1833
EP - 1839
BT - 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
Y2 - 23 September 2020 through 26 September 2020
ER -