TY - JOUR
T1 - Distributed Optimal Power Management via Negawatt Trading in Real-Time Electricity Market
AU - Okawa, Yoshihiro
AU - Namerikawa, Toru
N1 - Funding Information:
Manuscript received October 31, 2016; revised March 4, 2017; accepted April 2, 2017. Date of publication May 17, 2017; date of current version October 19, 2017. This work was supported in part by the Japan Science and Technology Agency through the CREST Program, and in part by the JSPS KAKENHI under Grant 15J05585. Paper no. TSG-01497-2016. (Corresponding author: Yoshihiro Okawa.) The authors are with the Department of System Design Engineering, Keio University, Yokohama 223-8522, Japan (e-mail: yoshihiroo@nl.sd.keio.ac.jp; namerikawa@sd.keio.ac.jp).
Publisher Copyright:
© 2010-2012 IEEE.
PY - 2017/11
Y1 - 2017/11
N2 - This paper presents a distributed optimal power supply-demand management method by using negawatt trading in a real-time electricity market. In the negawatt trading, power consumers reduce their own power demand and receive monetary reward from the market operator. This paper discusses a power adjustment method via negawatt trading by including charge or discharge power from energy storage systems. In order to derive appropriate electricity incentive prices for consumers and to use energy storage systems in power grids efficiently, we deal with a power adjustment problem by using some future power supply information from generators. We then show a novel market algorithm to solve this problem in a distributed manner through market trading. Finally, numerical simulation results illustrate the effectiveness of our proposed method.
AB - This paper presents a distributed optimal power supply-demand management method by using negawatt trading in a real-time electricity market. In the negawatt trading, power consumers reduce their own power demand and receive monetary reward from the market operator. This paper discusses a power adjustment method via negawatt trading by including charge or discharge power from energy storage systems. In order to derive appropriate electricity incentive prices for consumers and to use energy storage systems in power grids efficiently, we deal with a power adjustment problem by using some future power supply information from generators. We then show a novel market algorithm to solve this problem in a distributed manner through market trading. Finally, numerical simulation results illustrate the effectiveness of our proposed method.
KW - AC model of power grid
KW - Smart grid
KW - negawatt trading
KW - real-time electricity market
UR - http://www.scopus.com/inward/record.url?scp=85037036465&partnerID=8YFLogxK
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U2 - 10.1109/TSG.2017.2705291
DO - 10.1109/TSG.2017.2705291
M3 - Article
AN - SCOPUS:85037036465
SN - 1949-3053
VL - 8
SP - 3009
EP - 3019
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 6
M1 - 7930533
ER -
