TY - GEN
T1 - A game theory approach for maximum utilization of wind power by DR in residential consumers
AU - Tavakkoli, Mehdi
AU - Fattaheian-Dehkordi, Sajjad
AU - Pourakbari-Kasmaei, Mahdi
AU - Liski, Matti
AU - Lehtonen, Matti
PY - 2020/10/26
Y1 - 2020/10/26
N2 - This paper proposes an indirect load control demand response (DR) strategy for residential houses. A Stackelberg game theory is applied to account for the interaction between the aggregator in one side and the consumers on the other side. The aggregator, which owns a wind power plant, strives to maximize wind power utilization by consumers. Therefore, it motivates the consumers to adjust their load demand according to the forecasted wind power production by offering a bonus to them. On the other hand, consumers attempt to achieve the highest amount of reward by changing their load profile. It is assumed that each consumer has a critical load of which they have no control, and also a flexible load such as heat, ventilation and air conditioning (HVAC) system which can regulate its demand while keeping the temperature in a specified band. In this way, the consumers' comfort level is entirely maintained. In addition, for the sake of considering the uncertainty, several scenarios for wind and also consumers' demand are considered in this work.
AB - This paper proposes an indirect load control demand response (DR) strategy for residential houses. A Stackelberg game theory is applied to account for the interaction between the aggregator in one side and the consumers on the other side. The aggregator, which owns a wind power plant, strives to maximize wind power utilization by consumers. Therefore, it motivates the consumers to adjust their load demand according to the forecasted wind power production by offering a bonus to them. On the other hand, consumers attempt to achieve the highest amount of reward by changing their load profile. It is assumed that each consumer has a critical load of which they have no control, and also a flexible load such as heat, ventilation and air conditioning (HVAC) system which can regulate its demand while keeping the temperature in a specified band. In this way, the consumers' comfort level is entirely maintained. In addition, for the sake of considering the uncertainty, several scenarios for wind and also consumers' demand are considered in this work.
KW - Game theory
KW - HVAC systems
KW - Indirect load control
KW - Stochastic programming
UR - http://www.scopus.com/inward/record.url?scp=85097337061&partnerID=8YFLogxK
U2 - 10.1109/ISGT-Europe47291.2020.9248820
DO - 10.1109/ISGT-Europe47291.2020.9248820
M3 - Conference article in proceedings
AN - SCOPUS:85097337061
T3 - IEEE PES Innovative Smart Grid Technologies Conference Europe
SP - 111
EP - 115
BT - Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
PB - IEEE
T2 - IEEE PES Europe Conference on Innovative Smart Grid Technologies
Y2 - 26 October 2020 through 28 October 2020
ER -