TY - GEN
T1 - Ex-post stable and fair payoff allocation for renewable energy aggregation
AU - Khazaei, Hossein
AU - Zhao, Yue
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/26
Y1 - 2017/10/26
N2 - Aggregating statistically diverse renewable power producers (RPPs) is an effective way to reduce the uncertainty of the RPPs. The key question in aggregation of RPPs is how to allocate payoffs among the RPPs. In this paper, a payoff allocation mechanism (PAM) with a simple closed-form expression is proposed: It achieves stability (in the core) and fairness both in the 'ex-post' sense, i.e., for all possible realizations of renewable power generation. The proposed PAM is evaluated in a simulation study with ten wind power producers in the PJM interconnection.
AB - Aggregating statistically diverse renewable power producers (RPPs) is an effective way to reduce the uncertainty of the RPPs. The key question in aggregation of RPPs is how to allocate payoffs among the RPPs. In this paper, a payoff allocation mechanism (PAM) with a simple closed-form expression is proposed: It achieves stability (in the core) and fairness both in the 'ex-post' sense, i.e., for all possible realizations of renewable power generation. The proposed PAM is evaluated in a simulation study with ten wind power producers in the PJM interconnection.
UR - https://www.scopus.com/pages/publications/85040183039
U2 - 10.1109/ISGT.2017.8086008
DO - 10.1109/ISGT.2017.8086008
M3 - Conference contribution
AN - SCOPUS:85040183039
T3 - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
BT - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
Y2 - 23 April 2017 through 26 April 2017
ER -