TY - JOUR
T1 - Transactive demand side management programs in smart grids with high penetration of EVs
AU - Astero, Poria
AU - Choi, Bong Jun
AU - Liang, Hao
AU - Söder, Lennart
N1 - Funding Information:
Acknowledgments: This research was funded by the MSIP, Korea, under the “ICT Consilience Creative Program” (IITP-2015-R0346-15-1007) supervised by the IITP, Korea, and under the “Basic Science Research P(2r0o1g5rRa1mC”1 (A2011A50R110C5317A818A) t0h1r0o5u3g7h88t)h tehNroRuFg,hK tohree aN. RF, Korea.
Publisher Copyright:
© 2017 by the authors.
PY - 2017/10/18
Y1 - 2017/10/18
N2 - Due to environmental concerns, economic issues, and emerging new loads, such as electrical vehicles (EVs), the importance of demand side management (DSM) programs has increased in recent years. DSM programs using a dynamic real-time pricing (RTP) method can help to adaptively control the electricity consumption. However, the existing RTP methods, particularly when they consider the EVs and the power system constraints, have many limitations, such as computational complexity and the need for centralized control. Therefore, a new transactive DSM program is proposed in this paper using an imperfect competition model with high EV penetration levels. In particular, a heuristic two-stage iterative method, considering the influence of decisions made independently by customers to minimize their own costs, is developed to find the market equilibrium quickly in a distributed manner. Simulations in the IEEE 37-bus system with 1141 customers and 670 EVs are performed to demonstrate the effectiveness of the proposed method. The results show that the proposed method can better manage the EVs and elastic appliances than the existing methods in terms of power constraints and cost. Also, the proposed method can solve the optimization problem quick enough to run in real-time.
AB - Due to environmental concerns, economic issues, and emerging new loads, such as electrical vehicles (EVs), the importance of demand side management (DSM) programs has increased in recent years. DSM programs using a dynamic real-time pricing (RTP) method can help to adaptively control the electricity consumption. However, the existing RTP methods, particularly when they consider the EVs and the power system constraints, have many limitations, such as computational complexity and the need for centralized control. Therefore, a new transactive DSM program is proposed in this paper using an imperfect competition model with high EV penetration levels. In particular, a heuristic two-stage iterative method, considering the influence of decisions made independently by customers to minimize their own costs, is developed to find the market equilibrium quickly in a distributed manner. Simulations in the IEEE 37-bus system with 1141 customers and 670 EVs are performed to demonstrate the effectiveness of the proposed method. The results show that the proposed method can better manage the EVs and elastic appliances than the existing methods in terms of power constraints and cost. Also, the proposed method can solve the optimization problem quick enough to run in real-time.
KW - Electrical vehicle
KW - Oligopoly market
KW - Power system management
KW - Smart grids
KW - Supply and demand
UR - http://www.scopus.com/inward/record.url?scp=85040308075&partnerID=8YFLogxK
U2 - 10.3390/en10101640
DO - 10.3390/en10101640
M3 - Article
AN - SCOPUS:85040308075
SN - 1996-1073
VL - 10
JO - Energies
JF - Energies
IS - 10
M1 - 1640
ER -
