Presentation 2017-03-03
Demand Response Minimizing the Impact on the Consumers' Utility Towards Renewable Energy
Ryo Kutsuzawa, Naoya Takemura, Akira Yamashita, Jun Matsumoto, Makoto Tanaka, Naoaki Yamanaka,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In the smart grid, each consumer has a smart meter that communicates with electricity companies and other consumers and gets to decide power consumption according to the electricity market price. Many renewable resources will be connected to the grid as part of a worldwide effort to reduce carbon emissions. Increasing renewable resources means increasing the number of "sellers". It is difficult to set a price of the energy market consist of multi-seller - multi-buyer. Also, Increasing sellers that use renewable energy resources introduces new challenges in scheduling and dispatching controllable resources to follow the net load and control the power balance in the system In this thesis, we define impact on consumers’ utility, i.e., the difference between consumers’ utility when they consume the optimal power and one when they reduce power consumption. Then we aim to minimize the impact. We propose two methods: One-Time Demand Response and Foresight Demand Response. Through simulation, we see proposed methods can improve consumers’ welfare. Foresight Demand Response also improve consumers’ welfare three times compared with One-Time Demand Response.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) smart grid / machine learning / demand response
Paper # NS2016-226
Date of Issue 2017-02-23 (NS)

Conference Information
Committee NS / IN
Conference Date 2017/3/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) OKINAWA ZANPAMISAKI ROYAL HOTEL
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Hideki Tode(Osaka Pref. Univ.) / Katsunori Yamaoka(Tokyo Inst. of Tech.)
Vice Chair Yoshikatsu Okazaki(NTT) / Takuji Kishida(NTT)
Secretary Yoshikatsu Okazaki(Kyushu Inst. of Tech.) / Takuji Kishida(NTT)
Assistant Shohei Kamamura(NTT) / Kunitake Kaneko(Keio Univ.) / Takashi Natsume(NTT)

Paper Information
Registration To Technical Committee on Network Systems / Technical Committee on Information Networks
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Demand Response Minimizing the Impact on the Consumers' Utility Towards Renewable Energy
Sub Title (in English)
Keyword(1) smart grid
Keyword(2) machine learning
Keyword(3) demand response
1st Author's Name Ryo Kutsuzawa
1st Author's Affiliation Keio University(Keio Univ.)
2nd Author's Name Naoya Takemura
2nd Author's Affiliation Keio University(Keio Univ.)
3rd Author's Name Akira Yamashita
3rd Author's Affiliation Keio University(Keio Univ.)
4th Author's Name Jun Matsumoto
4th Author's Affiliation Keio University(Keio Univ.)
5th Author's Name Makoto Tanaka
5th Author's Affiliation National Graduate Institute for Policy Studies(GRIPS)
6th Author's Name Naoaki Yamanaka
6th Author's Affiliation Keio University(Keio Univ.)
Date 2017-03-03
Paper # NS2016-226
Volume (vol) vol.116
Number (no) NS-484
Page pp.pp.395-400(NS),
#Pages 6
Date of Issue 2017-02-23 (NS)