TY - GEN
T1 - Passivity-Short-based Stability Analysis on Electricity Market Trading System Considering Negative Price
AU - Muto, Keita
AU - Namerikawa, Toru
AU - Qu, Zhihua
N1 - Funding Information:
This work was supported by JST CREST Grant Number JPMJCR15K2, Japan.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/26
Y1 - 2018/10/26
N2 - This paper deals with a distributed decision method for determining the electricity price considering the negative price in the market trading. In addition, we analyze the stability and convergence properties for the market trading system using the concept of passivity-short. At first, mathematical models of market participants' behavior which maximize their own profits are discussed. Then, we construct a trading system based on dynamic pricing considering plug and play operation that each market participant intermittently participates in market trading. As for the optimal electricity price, even if the optimal price might be negative, we indicate the stability of the system can be guaranteed by using passivity-short which is a relaxed concept of passivity. Finally, numerical simulation results illustrate that each value decided by the market trading converges to the optimal value.
AB - This paper deals with a distributed decision method for determining the electricity price considering the negative price in the market trading. In addition, we analyze the stability and convergence properties for the market trading system using the concept of passivity-short. At first, mathematical models of market participants' behavior which maximize their own profits are discussed. Then, we construct a trading system based on dynamic pricing considering plug and play operation that each market participant intermittently participates in market trading. As for the optimal electricity price, even if the optimal price might be negative, we indicate the stability of the system can be guaranteed by using passivity-short which is a relaxed concept of passivity. Finally, numerical simulation results illustrate that each value decided by the market trading converges to the optimal value.
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U2 - 10.1109/CCTA.2018.8511465
DO - 10.1109/CCTA.2018.8511465
M3 - Conference contribution
AN - SCOPUS:85056809624
T3 - 2018 IEEE Conference on Control Technology and Applications, CCTA 2018
SP - 418
EP - 423
BT - 2018 IEEE Conference on Control Technology and Applications, CCTA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Conference on Control Technology and Applications, CCTA 2018
Y2 - 21 August 2018 through 24 August 2018
ER -