Pricing for Information Revelation in Demand Response: A Strategic Communication Approach
Hassan Mohamad, Chao Zhang, Samson Lasaulce, Olivier Beaude, Vineeth Satheeskumar Varma, Mounir Ghogho, and Vincent Poor

TL;DR
This paper models strategic communication in demand response programs using game theory, showing how pricing can incentivize truthful information sharing and significantly improve system efficiency.
Contribution
It introduces a tractable analysis of multiple strategic consumers and derives optimal pricing strategies to maximize information revelation and system utility.
Findings
Proper pricing can recover up to 95% of ideal system utility.
Decoupling of multi-player interactions simplifies analysis.
Optimal uniform pricing controls information disclosure effectively.
Abstract
Many smart grid frameworks, such as demand response programs, require accurate information about consumers' parameters (e.g., flexibility) at the aggregator side to optimize grid operations. Existing works typically rely on perfect information assumptions or complex incentive-compatible mechanisms; however, in voluntary settings, and in the presence of strategic consumers, possibly implemented by automated intelligent agents, private parameters may be misreported due to strategic incentives. We analyze this communication setting using cheap-talk game theory, delivering four key insights. First, the nontrivial scenario of multiple strategic transmitters (consumers) turns out to be tractable for the case study of interest: we prove that complex strategic interactions among multiple consumers decouple into independent subgames. Second, we demonstrate that a pre-announced retail price can…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Energy Management · Smart Grid Security and Resilience · Game Theory and Applications
