A Two Stage Mechanism For Selling Random Power
Nathan Dahlin, Rahul Jain

TL;DR
This paper introduces a novel two-stage auction mechanism for selling renewable energy that incentivizes truthful bidding and maximizes social welfare despite the uncertainty in energy generation.
Contribution
It proposes the first two-stage stochastic VCG mechanism for selling random goods, ensuring incentive compatibility, individual rationality, and efficiency.
Findings
Mechanism is incentive compatible in expectation.
Participants' expected payoffs are non-negative.
Maximizes social welfare in renewable energy allocation.
Abstract
We present a two stage auction mechanism that renewable generators (or aggregators) could use to allocate renewable energy among LSEs. The auction is conducted day- ahead. LSEs submit bids specifying their valuation per unit, as well as their real-time fulfillment costs in case of shortfall in generation. We present an allocation rule and a de-allocation rule that maximizes expected social welfare. Since the LSEs are strategic and may not report their private valuations and costs truthfully, we design a two-part payment, one made in Stage 1, before renewable energy generation level W is realized, and another determined later to be paid as compensation to those LSEs that have to be de-allocated in case of a shortfall. We proposes a two-stage Stochastic VCG mechanism which we prove is incentive compatible in expectation (expected payoff maximizing bidders will bid truthfully),…
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Taxonomy
TopicsAuction Theory and Applications · Electric Power System Optimization · Smart Grid Energy Management
