Presentation 2019-01-15
Model Predictive Control of Dynamics in Power Consumption for Demand Response
Kenta Ohashi, Koichi Kobayashi, Yuh Yamashita,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Demand response is a method of controlling electric equipments on the customer side according to the situation of power supply and demand. In this paper, we propose a control method of dynamics in power consumption for demand response. Dynamics in power consumption are represented by a Markov chain-based model. In the proposed method, the power consumption of each consumer can be controlled by solving a mixed integer linear programming problem at each time.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) demand response / dynamics in power consumption / Markov chain / model predictive control
Paper # MSS2018-55,SS2018-26
Date of Issue 2019-01-08 (MSS, SS)

Conference Information
Committee MSS / SS
Conference Date 2019/1/15(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Morikazu Nakamura(Univ. of Ryukyus) / Akio Nakata(Hiroshima City Univ.)
Vice Chair Shigemasa Takai(Osaka Univ.) / Takashi Kobayashi(Tokyo Inst. of Tech.)
Secretary Shigemasa Takai(Toshiba) / Takashi Kobayashi(Osaka Univ.)
Assistant Hideki Kinjo(Okinawa Univ.) / Shinpei Hayashi(Tokyo Inst. of Tech.)

Paper Information
Registration To Technical Committee on Mathematical Systems Science and its applications / Technical Committee on Software Science
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Model Predictive Control of Dynamics in Power Consumption for Demand Response
Sub Title (in English)
Keyword(1) demand response
Keyword(2) dynamics in power consumption
Keyword(3) Markov chain
Keyword(4) model predictive control
1st Author's Name Kenta Ohashi
1st Author's Affiliation Hokkaido University(Hokkaido Univ.)
2nd Author's Name Koichi Kobayashi
2nd Author's Affiliation Hokkaido University(Hokkaido Univ.)
3rd Author's Name Yuh Yamashita
3rd Author's Affiliation Hokkaido University(Hokkaido Univ.)
Date 2019-01-15
Paper # MSS2018-55,SS2018-26
Volume (vol) vol.118
Number (no) MSS-384,SS-385
Page pp.pp.7-12(MSS), pp.7-12(SS),
#Pages 6
Date of Issue 2019-01-08 (MSS, SS)