TY - GEN
T1 - A contract for demand response based on probability of call
AU - Vuelvas, Jose
AU - Ruiz, Fredy
AU - Gruosso, Giambattista
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/4/27
Y1 - 2018/4/27
N2 - A useful tool for reducing energy consumption at peak times is through an incentive-based demand response program. Each participant user is paid for diminishing his energy requirement according to a baseline. However, this demand response program presents truthfulness and gaming concerns since consumers can alter their reported information in order to increase their well-being. Therefore, a novel contract is proposed to induce asymptotic incentive-compatibility (truthfulness) and individual rationality (voluntary participation) through the probability of call. In this approach, each consumer announces his baseline and reduction capacity; given the cost of electricity, incentive price and a penalty caused by any deviation between self-reported and actual energy consumption. A payment scheme is implemented for all participant consumers where an aggregator decides what users are called to perform the energy reduction. A two-stage stochastic optimization problem is formulated in order to understand the rational behavior of consumers that participate under this contract. As result, asymptotic truth-telling behavior in incentive-based DR is managed by the aggregator through the probability of call for each agent. Numerical optimization results show that the aggregator can limit gaming opportunities irrespective of consumer's private preferences by controlling user's participation.
AB - A useful tool for reducing energy consumption at peak times is through an incentive-based demand response program. Each participant user is paid for diminishing his energy requirement according to a baseline. However, this demand response program presents truthfulness and gaming concerns since consumers can alter their reported information in order to increase their well-being. Therefore, a novel contract is proposed to induce asymptotic incentive-compatibility (truthfulness) and individual rationality (voluntary participation) through the probability of call. In this approach, each consumer announces his baseline and reduction capacity; given the cost of electricity, incentive price and a penalty caused by any deviation between self-reported and actual energy consumption. A payment scheme is implemented for all participant consumers where an aggregator decides what users are called to perform the energy reduction. A two-stage stochastic optimization problem is formulated in order to understand the rational behavior of consumers that participate under this contract. As result, asymptotic truth-telling behavior in incentive-based DR is managed by the aggregator through the probability of call for each agent. Numerical optimization results show that the aggregator can limit gaming opportunities irrespective of consumer's private preferences by controlling user's participation.
UR - http://www.scopus.com/inward/record.url?scp=85046934832&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2018.8352331
DO - 10.1109/ICIT.2018.8352331
M3 - Conference contribution
AN - SCOPUS:85046934832
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 1095
EP - 1100
BT - Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Industrial Technology, ICIT 2018
Y2 - 19 February 2018 through 22 February 2018
ER -