Kernekoncepter
This research paper proposes a novel incentive mechanism and feedback-based optimization algorithms to efficiently and dynamically control distributed energy resources (DERs) in power grids, even with limited knowledge of how end-users respond to incentives.
Citater
"A key challenge in studying such incentives is the lack of data about human behavior, which usually motivates strong assumptions, such as distributional assumptions on compliance or rational utility-maximization."
"In this paper, we propose a general incentive mechanism in the form of a constrained optimization problem – our approach is distinguished from prior work by modeling human behavior (e.g., reactions to an incentive) as an arbitrary unknown function."
"Is it possible to efficiently optimize individual incentives for demand-side control under system stability constraints where stakeholder responses are arbitrary and difficult to predict?"